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Associate Professor Yang Song

Associate Professor Yang Song

Associate Professor
Engineering
Computer Science and Engineering

Dr Yang Song is an ARC Future Fellow and Scientia Associate Professor in the School of Computer Science and Engineering. She is also currently the Associate Head of School (Research). She graduated with a BEng in Computer Engineering from Nanyang Technological University, Singapore, and obtained a PhD degree in Computer Science from the University of Sydney in 2013.

Her research area is in Computer Vision, Deep Learning, Multimodal and Human-centred AI. She has over 220 peer-reviewed publi...
E-mail
yang.song1@unsw.edu.au
Location
Room 401E, K17, CSE
  • Book Chapters | 2024
    Brits B; Song Y; Tirado Cortes C, 2024, 'Immersive Visualisation Systems as Alignment Strategies for Extreme Event Scenarios', in Arts, Research, Innovation and Society, Springer Nature Switzerland, pp. 65 - 76, http://dx.doi.org/10.1007/978-3-031-56114-6_6
    Book Chapters | 2024
    Cong C; Liu S; Di Ieva A; Russo C; Suero Molina E; Pagnucco M; Song Y, 2024, 'Computer Vision in Digital Neuropathology', in Advances in Experimental Medicine and Biology, pp. 123 - 138, http://dx.doi.org/10.1007/978-3-031-64892-2_8
    Book Chapters | 2024
    Di Ieva A; Suero Molina E; Somerville MA; Beheshti A; Staartjes VE; Serra C; Theodore N; Elliott JM; Wesselink EO; Russo C; Pilitsis JG; Bennett CC; Wu S; Hammond FM; Lozano AM; Cusimano MD; Davidson JM; Castellano JF; Okonkwo DO; Arefan D; Lee CC; Zanier O; Da Mutten R; Matula C; Rutka JT; Pease M; Liu S; Stummer W; Matulionyte R; Yang H; Yuwen C; Cheng X; Fan H; Wang X; Ge Z; Cepeda S; Sheehan JP; Yang JYM; Hamer RP; Cohen-Gadol A; Hansford JR; Savage G; Sowman PF; Stewart C; Kateb B; Sherif C; Perperidis A; Guller A; Hanft S; D’Amico RS; Sav A; Cong C; Song Y; Nicolosi F; Wiedmann MKH; Barone DG; Noorani I; Magnussen J; Krieg SM; Meling TR; De Ridder D; Lawton MT; Rosenfeld JV, 2024, 'Declaration of Computational Neurosurgery', in Advances in Experimental Medicine and Biology, pp. 11 - 20, http://dx.doi.org/10.1007/978-3-031-64892-2_2
    Book Chapters | 2024
    Ghadiri A; Pagnucco M; Song Y, 2024, 'XTranPrune: eXplainability-Aware Transformer Pruning for Bias Mitigation in Dermatological Disease Classification', in Lecture Notes in Computer Science, Springer Nature Switzerland, pp. 749 - 758, http://dx.doi.org/10.1007/978-3-031-72117-5_70
    Book Chapters | 2024
    Song Y; Pagnucco M; Wu F; Asadipour A; Ostwald MJ, 2024, 'Intelligent Architectures for Extreme Event Visualisation', in Arts, Research, Innovation and Society, Springer Nature Switzerland, pp. 37 - 48, http://dx.doi.org/10.1007/978-3-031-56114-6_4
    Book Chapters | 2024
    Xie K; Guo R; Cong C; Pagnucco M; Song Y, 2024, 'Domain Generalised Cell Nuclei Segmentation in Histopathology Images Using Domain-Aware Curriculum Learning and Colour-Perceived Meta Learning', in , pp. 354 - 361, http://dx.doi.org/10.3233/FAIA240508
    Book Chapters | 2024
    Yan S; Liu S; Di Ieva A; Pagnucco M; Song Y, 2024, 'Meta-transfer Learning for Brain Tumor Segmentation: Within and Beyond Glioma', in Advances in Experimental Medicine and Biology, pp. 221 - 230, http://dx.doi.org/10.1007/978-3-031-64892-2_13
    Book Chapters | 2023
    Fan L; Ding Y; Fan D; Wu Y; Pagnucco M; Song Y, 2023, 'Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection', in , pp. 660 - 667, http://dx.doi.org/10.3233/FAIA230329
    Book Chapters | 2023
    Xu Y; Pagnucco M; Song Y, 2023, 'DHG-GAN: Diverse Image Outpainting via Decoupled High Frequency Semantics', in , pp. 168 - 184, http://dx.doi.org/10.1007/978-3-031-26293-7_11
    Book Chapters | 2023
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2023, 'Uncertainty and Shape-Aware Continual Test-Time Adaptation for Cross-Domain Segmentation of Medical Images', in , pp. 659 - 669, http://dx.doi.org/10.1007/978-3-031-43898-1_63
    Book Chapters | 2022
    Wang H; Song Y; Tang Z; Zhang C; Yu J; Liu D; Zhang D; Liu S; Cai W, 2022, 'AI-Enhanced 3D Biomedical Data Analytics for Neuronal Structure Reconstruction', in Humanity Driven AI, Springer International Publishing, pp. 135 - 163, http://dx.doi.org/10.1007/978-3-030-72188-6_7
    Book Chapters | 2022
    2022, 'Adaptive Unified Contrastive Learning for Imbalanced Classification', in Machine Learning in Medical Imaging, Springer Nature Switzerland, pp. 348 - 357, http://dx.doi.org/10.1007/978-3-031-21014-3_36
    Book Chapters | 2021
    Chen Y; Zhang C; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O’Donnell LJ, 2021, 'Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 497 - 507, http://dx.doi.org/10.1007/978-3-030-87234-2_47
    Book Chapters | 2021
    Cong C; Liu S; Di Ieva A; Pagnucco M; Berkovsky S; Song Y, 2021, 'Semi-supervised Adversarial Learning for Stain Normalisation in Histopathology Images', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 581 - 591, http://dx.doi.org/10.1007/978-3-030-87237-3_56
    Book Chapters | 2021
    Guo R; Pagnucco M; Song Y, 2021, 'Learning with Noise: Mask-Guided Attention Model for Weakly Supervised Nuclei Segmentation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 461 - 470, http://dx.doi.org/10.1007/978-3-030-87196-3_43
    Book Chapters | 2021
    Hu Y; Meijering E; Xia Y; Song Y, 2021, 'Deformable Convolution and Semi-supervised Learning in Point Clouds for Aneurysm Classification and Segmentation', in Neural Information Processing, pp. 283 - 290, http://dx.doi.org/10.1007/978-3-030-92310-5_33
    Book Chapters | 2021
    Wang H; Zhang C; Yu J; Song Y; Liu S; Chrzanowski W; Cai W, 2021, 'Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction', in Machine Learning in Medical Imaging, pp. 248 - 257, http://dx.doi.org/10.1007/978-3-030-87589-3_26
    Book Chapters | 2021
    Wang X; Xiang T; Zhang C; Song Y; Liu D; Huang H; Cai W, 2021, 'BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation', in Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, pp. 229 - 238, http://dx.doi.org/10.1007/978-3-030-87193-2_22
    Book Chapters | 2020
    Liao Z; Song Y; Zhou D, 2020, 'Query Suggestion', in Query Understanding for Search Engines, Springer International Publishing, pp. 171 - 203, http://dx.doi.org/10.1007/978-3-030-58334-7_8
    Book Chapters | 2020
    Song Y; Cai W, 2020, 'Visual feature representation in microscopy image classification', in Computer Vision for Microscopy Image Analysis, pp. 73 - 100, http://dx.doi.org/10.1016/B978-0-12-814972-0.00004-7
    Book Chapters | 2019
    Cai W; Song Y; Kumar A; Kim J; Feng DD, 2019, 'Content-based large-scale medical image retrieval', in Biomedical Information Technology, pp. 321 - 368, http://dx.doi.org/10.1016/B978-0-12-816034-3.00011-0
    Book Chapters | 2017
    Song Y; Cai W, 2017, 'Chapter 6 Handling of Feature Space Complexity for Texture Analysis in Medical Images', in Biomedical Texture Analysis, Elsevier, pp. 163 - 191, http://dx.doi.org/10.1016/b978-0-12-812133-7.00006-5
    Book Chapters | 2017
    Song Y; Cai W, 2017, 'Handling of feature space complexity for texture analysis in medical images', in Biomedical Texture Analysis: Fundamentals, Tools and Challenges, pp. 163 - 191, http://dx.doi.org/10.1016/B978-0-12-812133-7.00006-5
    Book Chapters | 2017
    Zhang F; Song Y; Cai W; Depeursinge A; MĂĽller H, 2017, 'Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark', in Cloud-Based Benchmarking of Medical Image Analysis, Springer International Publishing, pp. 237 - 249, http://dx.doi.org/10.1007/978-3-319-49644-3_14
    Book Chapters | 2014
    Song Y; Cai W; Eberl S; Fulham MJ; Feng DD, 2014, 'FEATURE-CENTRIC LESION DETECTION AND RETRIEVAL IN THORACIC IMAGES', in Computer Vision in Medical Imaging, WORLD SCIENTIFIC, pp. 75 - 94, http://dx.doi.org/10.1142/9789814460941_0005
  • Journal articles | 2025
    Chen Y; Zhang F; Wang M; Zekelman LR; Cetin-Karayumak S; Xue T; Zhang C; Song Y; Rushmore J; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2025, 'TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography', Medical Image Analysis, 101, http://dx.doi.org/10.1016/j.media.2025.103476
    Journal articles | 2025
    Fan L; Fan D; Ding Y; Wu Y; Di D; Pagnucco M; Song Y, 2025, 'GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels', IEEE Transactions on Industrial Informatics, http://dx.doi.org/10.1109/TII.2025.3528555
    Journal articles | 2025
    Huang R; Xue H; Pagnucco M; Salim FD; Song Y, 2025, 'Vision-Based Multi-Future Trajectory Prediction: A Survey', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2025.3550350
    Journal articles | 2025
    Jing W; Wang J; Di D; Li D; Song Y; Fan L, 2025, 'Multi-modal hypergraph contrastive learning for medical image segmentation', Pattern Recognition, 165, http://dx.doi.org/10.1016/j.patcog.2025.111544
    Journal articles | 2025
    Qin Z; Tao X; Pang Y; Jiang M; Song Y; Song E, 2025, 'Antiprotein Corona-Fouling Effect of the Double-Stranded DNA Coating Layer on the Gold Nanoparticles-Small Molecule Adsorbent Probe', Analytical Chemistry, 97, pp. 3773 - 3780, http://dx.doi.org/10.1021/acs.analchem.5c00260
    Journal articles | 2025
    Torok M; Deghat M; Song Y, 2025, 'Greedy-DAgger - A Student Rollout Efficient Imitation Learning Algorithm', IEEE Robotics and Automation Letters, 10, pp. 2878 - 2885, http://dx.doi.org/10.1109/LRA.2025.3536297
    Journal articles | 2025
    Wang Y; Fan L; Pagnucco M; Song Y, 2025, 'Unsupervised domain adaptation with multi-level distillation boost and adaptive mask for medical image segmentation', Computers in Biology and Medicine, 190, http://dx.doi.org/10.1016/j.compbiomed.2025.110055
    Journal articles | 2025
    Wu Q; Cao J; Song Y, 2025, 'Ozone aging and protein corona adsorption exacerbate inflammatory effects of carbon black on macrophages and induce blood-testis barrier dysfunction in mice', Environmental Science: Nano, http://dx.doi.org/10.1039/d4en01166j
    Journal articles | 2025
    Xu Y; Khan TM; Song Y; Meijering E, 2025, 'Edge deep learning in computer vision and medical diagnostics: a comprehensive survey', Artificial Intelligence Review, 58, http://dx.doi.org/10.1007/s10462-024-11033-5
    Journal articles | 2025
    Zhong T; Song Y; Limarga R; Pagnucco M, 2025, 'Computational Machine Ethics: A Survey', Journal of Artificial Intelligence Research, 82, pp. 1581 - 1628, http://dx.doi.org/10.1613/jair.1.16836
    Journal articles | 2025
    Zhu J; Bolsterlee B; Song Y; Meijering E, 2025, 'Improving cross-domain generalizability of medical image segmentation using uncertainty and shape-aware continual test-time domain adaptation', Medical Image Analysis, 101, http://dx.doi.org/10.1016/j.media.2024.103422
    Journal articles | 2024
    Chen Y; Zekelman LR; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; Zhang F; O'Donnell LJ, 2024, 'TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance', Medical Image Analysis, 94, http://dx.doi.org/10.1016/j.media.2024.103120
    Journal articles | 2024
    Cong C; Liu S; Rana P; Pagnucco M; Di Ieva A; Berkovsky S; Song Y, 2024, 'Adaptive unified contrastive learning with graph-based feature aggregator for imbalanced medical image classification', Expert Systems with Applications, 251, http://dx.doi.org/10.1016/j.eswa.2024.123783
    Journal articles | 2024
    Guo R; Xu Y; Tompkins A; Pagnucco M; Song Y, 2024, 'Multi-degradation-adaptation network for fundus image enhancement with degradation representation learning', Medical Image Analysis, 97, http://dx.doi.org/10.1016/j.media.2024.103273
    Journal articles | 2024
    Huang R; Ding J; Pagnucco M; Song Y, 2024, 'Fully Decoupling Trajectory and Scene Encoding for Lightweight Heatmap-Oriented Trajectory Prediction', IEEE Robotics and Automation Letters, 9, pp. 9143 - 9150, http://dx.doi.org/10.1109/LRA.2024.3426376
    Journal articles | 2024
    Jin Q; Cui H; Sun C; Song Y; Zheng J; Cao L; Wei L; Su R, 2024, 'Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation', Expert Systems with Applications, 238, http://dx.doi.org/10.1016/j.eswa.2023.122093
    Journal articles | 2024
    Tchetchenian A; Zekelman L; Chen Y; Rushmore J; Zhang F; Yeterian EH; Makris N; Rathi Y; Meijering E; Song Y; O'Donnell LJ, 2024, 'Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning', Human Brain Mapping, 45, http://dx.doi.org/10.1002/hbm.70008
    Journal articles | 2024
    Wang J; Jiang Y; Long Y; Sun X; Pagnucco M; Song Y, 2024, 'Deconfounding Causal Inference for Zero-Shot Action Recognition', IEEE Transactions on Multimedia, 26, pp. 3976 - 3986, http://dx.doi.org/10.1109/TMM.2023.3318300
    Journal articles | 2024
    Wang W; Song Y; Jha S, 2024, 'USAT: A Universal Speaker-Adaptive Text-to-Speech Approach', IEEE/ACM Transactions on Audio Speech and Language Processing, 32, pp. 2590 - 2604, http://dx.doi.org/10.1109/TASLP.2024.3393714
    Journal articles | 2024
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2024, 'Hybrid dual mean-teacher network with double-uncertainty guidance for semi-supervised segmentation of magnetic resonance images', Computerized Medical Imaging and Graphics, 115, http://dx.doi.org/10.1016/j.compmedimag.2024.102383
    Journal articles | 2023
    Chen Y; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell LJ, 2023, 'Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation', NeuroImage, 273, http://dx.doi.org/10.1016/j.neuroimage.2023.120086
    Journal articles | 2023
    Fan L; Ding Y; Fan D; Wu Y; Chu H; Pagnucco M; Song Y, 2023, 'An annotated grain kernel image database for visual quality inspection', Scientific Data, 10, http://dx.doi.org/10.1038/s41597-023-02660-8
    Journal articles | 2023
    Fan L; Fan D; Ding Y; Wu Y; Chu H; Pagnucco M; Song Y, 2023, 'AV4GAInsp: An Efficient Dual-Camera System for Identifying Defective Kernels of Cereal Grains', IEEE Robotics and Automation Letters, 9, pp. 851 - 858, http://dx.doi.org/10.1109/LRA.2023.3338517
    Journal articles | 2023
    Fan L; Sowmya A; Meijering E; Song Y, 2023, 'Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency', IEEE Transactions on Medical Imaging, 42, pp. 1401 - 1412, http://dx.doi.org/10.1109/TMI.2022.3228275
    Journal articles | 2023
    Guo R; Xie K; Pagnucco M; Song Y, 2023, 'SAC-Net: Learning with weak and noisy labels in histopathology image segmentation', Medical Image Analysis, 86, http://dx.doi.org/10.1016/j.media.2023.102790
    Journal articles | 2023
    Jose L; Liu S; Russo C; Cong C; Song Y; Rodriguez M; Di Ieva A, 2023, 'Artificial Intelligence–Assisted Classification of Gliomas Using Whole Slide Images', Archives of Pathology and Laboratory Medicine, 147, pp. 916 - 924, http://dx.doi.org/10.5858/arpa.2021-0518-OA
    Journal articles | 2023
    Liu D; Zhang C; Song Y; Huang H; Wang C; Barnett M; Cai W, 2023, 'Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement', IEEE Transactions on Multimedia, 25, pp. 1333 - 1344, http://dx.doi.org/10.1109/TMM.2022.3141614
    Journal articles | 2023
    Mandal A; Priyam S; Chan HH; Gouveia BM; Guitera P; Song Y; Baker MAB; Vafaee F, 2023, 'Computer-Aided Diagnosis of Melanoma Subtypes Using Reflectance Confocal Images', Cancers, 15, http://dx.doi.org/10.3390/cancers15051428
    Journal articles | 2023
    Rana P; Sowmya A; Meijering E; Song Y, 2023, 'Imbalanced classification for protein subcellular localization with multilabel oversampling', Bioinformatics, 39, http://dx.doi.org/10.1093/bioinformatics/btac841
    Journal articles | 2023
    Si Z; Sun Z; Zhang X; Xu J; Song Y; Zang X; Wen J-R, 2023, 'Enhancing Recommendation with Search Data in a Causal Learning Manner', ACM Transactions on Information Systems, 41, pp. 1 - 31, http://dx.doi.org/10.1145/3582425
    Journal articles | 2023
    Tchetchenian A; Zhu Y; Zhang F; O’Donnell LJ; Song Y; Meijering E, 2023, 'A comparison of manual and automated neural architecture search for white matter tract segmentation', Scientific Reports, 13, http://dx.doi.org/10.1038/s41598-023-28210-1
    Journal articles | 2023
    Wang W; Pagnucco M; Xu C; Song Y, 2023, 'InterREC: An Interpretable Method for Referring Expression Comprehension', IEEE Transactions on Multimedia, 25, pp. 9330 - 9342, http://dx.doi.org/10.1109/TMM.2023.3251111
    Journal articles | 2023
    Xu Y; Pagnucco M; Song Y, 2023, 'An edge guided coarse-to-fine generative network for image outpainting', Neurocomputing, 541, http://dx.doi.org/10.1016/j.neucom.2023.126254
    Journal articles | 2023
    Xue T; Zhang F; Zhang C; Chen Y; Song Y; Golby AJ; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2023, 'Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions', Medical Image Analysis, 85, http://dx.doi.org/10.1016/j.media.2023.102759
    Journal articles | 2023
    Yang Z; Cong C; Pagnucco M; Song Y, 2023, 'Multi-scale multi-reception attention network for bone age assessment in X-ray images', Neural Networks, 158, pp. 249 - 257, http://dx.doi.org/10.1016/j.neunet.2022.11.002
    Journal articles | 2022
    Cong C; Liu S; Di Ieva A; Pagnucco M; Berkovsky S; Song Y, 2022, 'Colour adaptive generative networks for stain normalisation of histopathology images', Medical Image Analysis, 82, http://dx.doi.org/10.1016/j.media.2022.102580
    Journal articles | 2022
    Jiang J; Wang D; Song Y; Sachdev PS; Wen W, 2022, 'Computer-aided extraction of select MRI markers of cerebral small vessel disease: A systematic review', NeuroImage, 261, pp. 119528, http://dx.doi.org/10.1016/j.neuroimage.2022.119528
    Journal articles | 2022
    Ma Y; Zhang C; Cabezas M; Song Y; Tang Z; Liu D; Cai W; Barnett M; Wang C, 2022, 'Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications', IEEE Journal of Biomedical and Health Informatics, 26, pp. 2680 - 2692, http://dx.doi.org/10.1109/JBHI.2022.3151741
    Journal articles | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Data augmentation with improved regularisation and sampling for imbalanced blood cell image classification', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-22882-x
    Journal articles | 2022
    Sandarenu P; Millar EKA; Song Y; Browne L; Beretov J; Lynch J; Graham PH; Jonnagaddala J; Hawkins N; Huang J; Meijering E, 2022, 'Survival prediction in triple negative breast cancer using multiple instance learning of histopathological images', Scientific Reports, 12, http://dx.doi.org/10.1038/s41598-022-18647-1
    Journal articles | 2022
    Xiang T; Song Y; Zhang C; Liu D; Chen M; Zhang F; Huang H; O'Donnell L; Cai W, 2022, 'DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis', IEEE Transactions on Medical Imaging, 41, pp. 2180 - 2190, http://dx.doi.org/10.1109/TMI.2022.3157983
    Journal articles | 2022
    Xiang T; Zhang C; Wang X; Song Y; Liu D; Huang H; Cai W, 2022, 'Towards bi-directional skip connections in encoder-decoder architectures and beyond', Medical Image Analysis, 78, http://dx.doi.org/10.1016/j.media.2022.102420
    Journal articles | 2021
    Liu D; Zhang D; Song Y; Huang H; Cai W, 2021, 'Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images', IEEE Transactions on Image Processing, 30, pp. 2045 - 2059, http://dx.doi.org/10.1109/TIP.2021.3050668
    Journal articles | 2021
    Liu D; Zhang D; Song Y; Zhang F; O'Donnell L; Huang H; Chen M; Cai W, 2021, 'PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images', IEEE Transactions on Medical Imaging, 40, pp. 154 - 165, http://dx.doi.org/10.1109/TMI.2020.3023466
    Journal articles | 2021
    Rana P; Sowmya A; Meijering E; Song Y, 2021, 'Estimation of three-dimensional chromatin morphology for nuclear classification and characterisation', Scientific Reports, 11, http://dx.doi.org/10.1038/s41598-021-82985-9
    Journal articles | 2021
    Zhu J; Bolsterlee B; Chow BVY; Cai C; Herbert RD; Song Y; Meijering E, 2021, 'Deep learning methods for automatic segmentation of lower leg muscles and bones from MRI scans of children with and without cerebral palsy', NMR in Biomedicine, 34, http://dx.doi.org/10.1002/nbm.4609
    Journal articles | 2020
    Jia H; Xia Y; Song Y; Zhang D; Huang H; Zhang Y; Cai W, 2020, '3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images', IEEE Transactions on Medical Imaging, 39, pp. 447 - 457, http://dx.doi.org/10.1109/TMI.2019.2928056
    Journal articles | 2020
    Rana P; Sowmya A; Meijering E; Song Y, 2020, 'Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation', , http://dx.doi.org/10.1101/2020.07.29.226498
    Journal articles | 2020
    Wu Y; Xia Y; Song Y; Zhang Y; Cai W, 2020, 'NFN＋: A novel network followed network for retinal vessel segmentation', Neural Networks, 126, pp. 153 - 162, http://dx.doi.org/10.1016/j.neunet.2020.02.018
    Journal articles | 2020
    Zheng Y; Meng F; Liu J; Guo B; Song Y; Zhang X; Wang L, 2020, 'Fourier Transform to Group Feature on Generated Coarser Contours for Fast 2D Shape Matching', IEEE Access, 8, pp. 90141 - 90152, http://dx.doi.org/10.1109/ACCESS.2020.2994234
    Journal articles | 2019
    Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T; Yao L; Song Y; Jin D, 2019, 'Learning to Recommend with Multiple Cascading Behaviors', IEEE Transactions on Knowledge and Data Engineering, pp. 1 - 1, http://dx.doi.org/10.1109/TKDE.2019.2958808
    Journal articles | 2019
    Khanal D; Zhang F; Song Y; Hau H; Gautam A; Yamaguchi S; Uertz J; Mills S; Kondyurin A; Knowles JC; Georgiou G; Ramzan I; Cai W; Ng KW; Chrzanowski W, 2019, 'Biological impact of nanodiamond particles–label free, high-resolution methods for nanotoxicity assessment', Nanotoxicology, 13, pp. 1210 - 1226, http://dx.doi.org/10.1080/17435390.2019.1650970
    Journal articles | 2019
    Xie Y; Xia Y; Zhang J; Song Y; Feng D; Fulham M; Cai W, 2019, 'Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT', IEEE Transactions on Medical Imaging, 38, pp. 991 - 1004, http://dx.doi.org/10.1109/TMI.2018.2876510
    Journal articles | 2018
    Jia H; Xia Y; Song Y; Cai W; Fulham M; Feng DD, 2018, 'Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging', Neurocomputing, 275, pp. 1358 - 1369, http://dx.doi.org/10.1016/j.neucom.2017.09.084
    Journal articles | 2018
    Liu S; Zhang D; Song Y; Peng H; Cai W, 2018, 'Automated 3-D Neuron Tracing with Precise Branch Erasing and Confidence Controlled Back Tracking', IEEE Transactions on Medical Imaging, 37, pp. 2441 - 2452, http://dx.doi.org/10.1109/TMI.2018.2833420
    Journal articles | 2018
    Meng F; Shan D; Shi R; Song Y; Guo B; Cai W, 2018, 'Merged region based image retrieval', Journal of Visual Communication and Image Representation, 55, pp. 572 - 585, http://dx.doi.org/10.1016/j.jvcir.2018.07.003
    Journal articles | 2018
    Pan Y; Xia Y; Song Y; Cai W, 2018, 'Locality constrained encoding of frequency and spatial information for image classification', Multimedia Tools and Applications, 77, pp. 24891 - 24907, http://dx.doi.org/10.1007/s11042-018-5712-3
    Journal articles | 2018
    Tareef A; Song Y; Huang H; Feng D; Chen M; Wang Y; Cai W, 2018, 'Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells', IEEE Transactions on Medical Imaging, 37, pp. 2044 - 2059, http://dx.doi.org/10.1109/TMI.2018.2815013
    Journal articles | 2018
    Zhang D; Liu S; Song Y; Feng D; Peng H; Cai W, 2018, 'Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction', Neuroinformatics, 16, pp. 153 - 166, http://dx.doi.org/10.1007/s12021-017-9353-x
    Journal articles | 2018
    Zhang F; Savadjiev P; Cai W; Song Y; Rathi Y; Tunç B; Parker D; Kapur T; Schultz RT; Makris N; Verma R; O'Donnell LJ, 2018, 'Whole brain white matter connectivity analysis using machine learning: An application to autism', NeuroImage, 172, pp. 826 - 837, http://dx.doi.org/10.1016/j.neuroimage.2017.10.029
    Journal articles | 2018
    Zhang F; Wu W; Ning L; McAnulty G; Waber D; Gagoski B; Sarill K; Hamoda HM; Song Y; Cai W; Rathi Y; O'Donnell LJ, 2018, 'Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis', NeuroImage, 171, pp. 341 - 354, http://dx.doi.org/10.1016/j.neuroimage.2018.01.006
    Journal articles | 2017
    Meng F; Shi R; Shan D; Song Y; He W; Cai W, 2017, 'Multi-sensor image fusion based on regional characteristics', International Journal of Distributed Sensor Networks, 13, http://dx.doi.org/10.1177/1550147717741105
    Journal articles | 2017
    Song Y; Li Q; Huang H; Feng D; Chen M; Cai W, 2017, 'Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification', IEEE Transactions on Medical Imaging, 36, pp. 1636 - 1649, http://dx.doi.org/10.1109/TMI.2017.2687466
    Journal articles | 2017
    Song Y; Li Q; Zhang F; Huang H; Feng D; Wang Y; Chen M; Cai W, 2017, 'Dual discriminative local coding for tissue aging analysis', Medical Image Analysis, 38, pp. 65 - 76, http://dx.doi.org/10.1016/j.media.2016.10.001
    Journal articles | 2017
    Tareef A; Song Y; Cai W; Huang H; Chang H; Wang Y; Fulham M; Feng D; Chen M, 2017, 'Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation', Neurocomputing, 221, pp. 94 - 107, http://dx.doi.org/10.1016/j.neucom.2016.09.070
    Journal articles | 2017
    Tareef A; Song Y; Huang H; Wang Y; Feng D; Chen M; Cai W, 2017, 'Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling', Neurocomputing, 248, pp. 28 - 40, http://dx.doi.org/10.1016/j.neucom.2017.01.093
    Journal articles | 2016
    Song Y; Cai W; Huang H; Feng D; Wang Y; Chen M, 2016, 'Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors', BMC Bioinformatics, 17, http://dx.doi.org/10.1186/s12859-016-1318-9
    Journal articles | 2016
    Song Y; Li Q; Feng D; Zou JJ; Cai W, 2016, 'Texture image classification with discriminative neural networks', Computational Visual Media, 2, pp. 367 - 377, http://dx.doi.org/10.1007/s41095-016-0060-6
    Journal articles | 2016
    Yang MY; Verschuer J; Shi Y; Song Y; Katsifis A; Eberl S; Wong K; Brannan JD; Cai W; Finlay WH; Chan HK, 2016, 'The effect of device resistance and inhalation flow rate on the lung deposition of orally inhaled mannitol dry powder', International Journal of Pharmaceutics, 513, pp. 294 - 301, http://dx.doi.org/10.1016/j.ijpharm.2016.09.047
    Journal articles | 2016
    Zhang F; Song Y; Cai W; Hauptmann AG; Liu S; Pujol S; Kikinis R; Fulham MJ; Feng DD; Chen M, 2016, 'Dictionary pruning with visual word significance for medical image retrieval', Neurocomputing, 177, pp. 75 - 88, http://dx.doi.org/10.1016/j.neucom.2015.11.008
    Journal articles | 2016
    Zhang F; Song Y; Cai W; Liu S; Liu S; Pujol S; Kikinis R; Xia Y; Fulham MJ; Feng DD, 2016, 'Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging', IEEE Transactions on Biomedical Engineering, 63, pp. 1058 - 1069, http://dx.doi.org/10.1109/TBME.2015.2478028
    Journal articles | 2015
    Song Y; Cai W; Huang H; Zhou Y; Feng DD; Wang Y; Fulham MJ; Chen M, 2015, 'Large margin local estimate with applications to medical image classification', IEEE Transactions on Medical Imaging, 34, pp. 1362 - 1377, http://dx.doi.org/10.1109/TMI.2015.2393954
    Journal articles | 2015
    Song Y; Cai W; Huang H; Zhou Y; Wang Y; Feng DD, 2015, 'Locality-constrained Subcluster Representation Ensemble for lung image classification', Medical Image Analysis, 22, pp. 102 - 113, http://dx.doi.org/10.1016/j.media.2015.03.003
    Journal articles | 2014
    Song Y; Cai W; Huang H; Wang X; Zhou Y; Fulham MJ; Feng DD, 2014, 'Lesion detection and characterization with context driven approximation in thoracic FDG PET-CT images of NSCLC studies', IEEE Transactions on Medical Imaging, 33, pp. 408 - 421, http://dx.doi.org/10.1109/TMI.2013.2285931
    Journal articles | 2014
    Song Y; Cail W; Huang H; Zhou Y; Feng DDA; Chen M, 2014, 'Large margin aggregation of local estimates for medical image classification', Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 17, pp. 196 - 203
    Journal articles | 2014
    Zhang F; Song Y; Cai W; Lee MZ; Zhou Y; Huang H; Shan S; Fulham MJ; Feng DD, 2014, 'Lung nodule classification with multilevel patch-based context analysis', IEEE Transactions on Biomedical Engineering, 61, pp. 1155 - 1166, http://dx.doi.org/10.1109/TBME.2013.2295593
    Journal articles | 2013
    Song Y; Cai W; Huang H; Wang Y; Feng DD; Chen M, 2013, 'Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling', BMC Bioinformatics, 14, http://dx.doi.org/10.1186/1471-2105-14-173
    Journal articles | 2013
    Song Y; Cai W; Zhou Y; Feng DD, 2013, 'Feature-based image patch approximation for lung tissue classification', IEEE Transactions on Medical Imaging, 32, pp. 797 - 808, http://dx.doi.org/10.1109/TMI.2013.2241448
    Journal articles | 2012
    Song Y; Cai W; Kim J; Feng DD, 2012, 'A multistage discriminative model for tumor and lymph node detection in thoracic images', IEEE Transactions on Medical Imaging, 31, pp. 1061 - 1075, http://dx.doi.org/10.1109/TMI.2012.2185057
  • Working Papers | 2020
    Rana P; Sowmya A; Meijering E; Song Y, 2020, Estimation of Three-Dimensional Chromatin Morphology for Nuclear Classification and Characterisation, http://dx.doi.org10.1101/2020.07.29.226498
  • Preprints | 2025
    Ho M; Song Y; Sachdev P; Jiang J; Wen W, 2025, An Enhanced Conditional Variational Autoencoder-Based Normative Model for Neuroimaging Analysis, http://dx.doi.org/10.1101/2025.01.05.631276
    Conference Papers | 2024
    Bai Y; Zhang Y; Lu J; Chang J; Zang X; Niu Y; Song Y; Feng F, 2024, 'LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting', in Proceedings of the 17th ACM International Conference on Web Search and Data Mining, ACM, presented at WSDM '24: The 17th ACM International Conference on Web Search and Data Mining, http://dx.doi.org/10.1145/3616855.3635816
    Conference Papers | 2024
    Cong C; Xuan S; Liu S; Zhang S; Pagnucco M; Song Y, 2024, 'Decoupled Optimisation for Long-Tailed Visual Recognition', in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 1380 - 1388, http://dx.doi.org/10.1609/aaai.v38i2.27902
    Creative Works (non-textual) | 2024
    Del Favero D; Ostwald M; Song Y; Moinuddin K; Penney G, 2024, Umbra, AFAC24, Fire and Rescue NSW Emergency Services Academy, Orchard Hills, 03 September 2024 - 06 September 2024, medium: Intewractive Computer-graphic Installation, at: https://www.afacconference.com.au/
    Conference Papers | 2024
    Dodballapur V; Liu D; Song Y; Cai W, 2024, 'Cross-Domain Exemplars for Cell Counting', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635905
    Conference Papers | 2024
    Fan L; Ding Y; Pagnucco M; Song Y, 2024, 'PATCH-WISE AUGMENTATION FOR ANOMALY DETECTION AND LOCALIZATION', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 5425 - 5429, http://dx.doi.org/10.1109/ICASSP48485.2024.10446994
    Conference Papers | 2024
    Heng Z; Pagnucco M; Meijering E; Song Y, 2024, 'Vascular Topology Rectification Network for Automated Retinal Artery/Vein Segmentation', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635229
    Conference Papers | 2024
    Hu Y; Meijering E; Song Y, 2024, 'Large-Kernel Attention Network with Distance Regression and Topological Self-correction for Airway Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 115 - 126, http://dx.doi.org/10.1007/978-981-99-8388-9_10
    Conference Papers | 2024
    Hu Y; Meijering E; Song Y, 2024, 'Refining Airway Segmentation Through Breakage Filling and Leakage Reduction Using Point Clouds', in IEEE International Conference on Intelligent Robots and Systems, pp. 11618 - 11623, http://dx.doi.org/10.1109/IROS58592.2024.10802488
    Conference Papers | 2024
    Li L; Xue H; Song Y; Salim F, 2024, 'T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation', in 32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024, pp. 569 - 572, http://dx.doi.org/10.1145/3678717.3691271
    Conference Papers | 2024
    Li P; De Rijke M; Xue H; Ao S; Song Y; Salim FD, 2024, 'Large Language Models for Next Point-of-Interest Recommendation', in SIGIR 2024 - Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1463 - 1472, http://dx.doi.org/10.1145/3626772.3657840
    Conference Papers | 2024
    Limarga R; Song Y; Nayak A; Rajaratnam D; Pagnucco M, 2024, 'Formalisation and Evaluation of Properties for Consequentialist Machine Ethics', in IJCAI International Joint Conference on Artificial Intelligence, pp. 440 - 448
    Conference Papers | 2024
    Limarga R; Song Y; Pagnucco M; Rajaratnam D, 2024, 'Epistemic Reasoning in Computational Machine Ethics', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 82 - 94, http://dx.doi.org/10.1007/978-981-99-8391-9_7
    Conference Papers | 2024
    Malik M; Jiang J; Song Y; Jha S, 2024, 'MFVIEW: Multi-modal Fake News Detection with View-Specific Information Extraction', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 345 - 353, http://dx.doi.org/10.1007/978-3-031-56063-7_26
    Conference Papers | 2024
    Qu M; Wu Y; Di D; Su A; Su T; Song Y; Fan L, 2024, 'Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics', in Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, pp. 445 - 450, http://dx.doi.org/10.1109/BIBM62325.2024.10822232
    Conference Papers | 2024
    Sandarenu P; Chen J; Slapetova I; Browne L; Graham PH; Swarbrick A; Millar EKA; Song Y; Meijering E, 2024, 'Semi-Supervised Variational Autoencoder for Cell Feature Extraction In Multiplexed Immunofluorescence Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635107
    Conference Papers | 2024
    Sun B; Pagnucco M; Song Y, 2024, 'Fully Distributed, Flexible Compositional Visual Representations via Soft Tensor Products', in Advances in Neural Information Processing Systems
    Conference Papers | 2024
    Wang J; Sun Z; Tan Z; Chen X; Chen W; Li H; Zhang C; Song Y, 2024, 'Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 8446 - 8455, http://dx.doi.org/10.1109/CVPR52733.2024.00807
    Conference Papers | 2024
    Wang W; Song Y; Jha S, 2024, 'GLOBE: A High-quality English Corpus with Global Accents for Zero-shot Speaker Adaptive Text-to-Speech', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 1365 - 1369, http://dx.doi.org/10.21437/Interspeech.2024-70
    Conference Papers | 2024
    Wang Y; Pagnucco M; Song Y, 2024, 'Self-training with Domain-Mixed Data for Few-Shot Domain Adaptation in Medical Image Segmentation Tasks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 299 - 309, http://dx.doi.org/10.1007/978-3-031-45673-2_30
    Conference Papers | 2024
    Yan S; Liu S; Di Ieva A; Pagnucco M; Song Y, 2024, 'Meta-Transfer Learning for Few-Shot Meningioma Segmentation', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635194
    Conference Papers | 2024
    Zhu Y; Tchetchenian A; Yin X; Liew A; Song Y; Meijering E, 2024, 'AC-UNet: Adaptive Connection UNet for White Matter Tract Segmentation Through Neural Architecture Search', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635404
    Conference Papers | 2023
    Chang J; Zhang C; Fu Z; Zang X; Guan L; Lu J; Hui Y; Leng D; Niu Y; Song Y; Gai K, 2023, 'TWIN: TWo-stage Interest Network for Lifelong User Behavior Modeling in CTR Prediction at Kuaishou', in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, presented at KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, http://dx.doi.org/10.1145/3580305.3599922
    Conference Papers | 2023
    Chang J; Zhang C; Hui Y; Leng D; Niu Y; Song Y; Gai K, 2023, 'PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information', in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, presented at KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, http://dx.doi.org/10.1145/3580305.3599884
    Preprints | 2023
    Chen Y; Zekelman LR; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; Zhang F; O'Donnell LJ, 2023, TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance, http://dx.doi.org/10.48550/arxiv.2307.03982
    Conference Papers | 2023
    Chen Y; Zhang F; Zekelman LR; Xue T; Zhang C; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2023, 'Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230547
    Preprints | 2023
    Chen Y; Zhang F; Zekelman LR; Xue T; Zhang C; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2023, TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography, http://dx.doi.org/10.48550/arxiv.2301.01911
    Creative Works (non-textual) | 2023
    Del Favero D; Brohier N; Ong A; Clemente L; Sharples J; Song Y; Green C; Moinuddin K; Ong A, 2023, Penumbra 2.0, Viscera, Cavallerizza Reale (Turin, Italy), 13 September 2023 - 14 October 2023, medium: Computer-Graphic Installation, at: https://recontemporary.com/en/mostre/dennis-del-favero-viscera-2/
    Conference Abstracts | 2023
    Del Favero D; Song Y; Moinuddin K; Green C; Sharples J; Ong A; Brohier N, 2023, 'Penumbra2.0', in ACM SIGGRAPH Asia 2023 Art Gallery, ACM, pp. 1 - 2, presented at SA Art Gallery '23: ACM SIGGRAPH Asia 2023 Art Gallery, http://dx.doi.org/10.1145/3610537.3622946
    Preprints | 2023
    Fan L; Ding Y; Fan D; Wu Y; Chu H; Pagnucco M; Song Y, 2023, An annotated grain kernel image database for visual quality inspection, http://dx.doi.org/10.48550/arxiv.2401.08599
    Preprints | 2023
    Fan L; Ding Y; Fan D; Wu Y; Pagnucco M; Song Y, 2023, Identifying the Defective: Detecting Damaged Grains for Cereal Appearance Inspection, , http://dx.doi.org/10.48550/arxiv.2311.11901
    Conference Papers | 2023
    Huang R; Pagnucco M; Song Y, 2023, 'HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction', in IEEE International Conference on Intelligent Robots and Systems, pp. 3208 - 3213, http://dx.doi.org/10.1109/IROS55552.2023.10341647
    Conference Papers | 2023
    Huang R; Tompkins A; Pagnucco M; Song Y, 2023, 'Towards Single Source Domain Generalisation in Trajectory Prediction: A Motion Prior based Approach', in Proceedings of Machine Learning Research, McGill University, Montréal, Québec, Canada, pp. 227 - 243, presented at Conference on Lifelong Learning Agents, 22-25 August 2023,, McGill University, Montréal, Québec, Canada, 22 August 2023 - 25 August 2023, https://proceedings.mlr.press/v232/huang23a.html
    Preprints | 2023
    Huang R; Xue H; Pagnucco M; Salim F; Song Y, 2023, Vision-based Multi-future Trajectory Prediction: A Survey, http://dx.doi.org/10.48550/arxiv.2302.10463
    Conference Papers | 2023
    Lin G; Gao C; Zheng Y; Chang J; Niu Y; Song Y; Li Z; Jin D; Li Y, 2023, 'Dual-interest Factorization-heads Attention for Sequential Recommendation', in Proceedings of the ACM Web Conference 2023, ACM, presented at WWW '23: The ACM Web Conference 2023, http://dx.doi.org/10.1145/3543507.3583278
    Preprints | 2023
    Lin G; Gao C; Zheng Y; Chang J; Niu Y; Song Y; Li Z; Jin D; Li Y, 2023, Dual-interest Factorization-heads Attention for Sequential Recommendation, , http://dx.doi.org/10.48550/arxiv.2302.03965
    Conference Papers | 2023
    Liu CY; Mohammadi G; Song Y; Johal W, 2023, 'Speech-Gesture GAN: Gesture Generation for Robots and Embodied Agents', Korea, presented at IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Korea, 28 August 2023, http://dx.doi.org/10.1109/RO-MAN57019.2023.10309493
    Conference Papers | 2023
    Pan Y; Gao C; Chang J; Niu Y; Song Y; Gai K; Jin D; Li Y, 2023, 'Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation', in Proceedings of the 17th ACM Conference on Recommender Systems, ACM, presented at RecSys '23: Seventeenth ACM Conference on Recommender Systems, http://dx.doi.org/10.1145/3604915.3608814
    Preprints | 2023
    Pan Y; Gao C; Chang J; Niu Y; Song Y; Gai K; Jin D; Li Y, 2023, Understanding and Modeling Passive-Negative Feedback for Short-video Sequential Recommendation, , http://dx.doi.org/10.48550/arxiv.2308.04086
    Conference Papers | 2023
    Pan Y; Li N; Gao C; Chang J; Niu Y; Song Y; Jin D; Li Y, 2023, 'Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System', in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, ACM, presented at CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3583780.3615482
    Preprints | 2023
    Pan Y; Li N; Gao C; Chang J; Niu Y; Song Y; Jin D; Li Y, 2023, Learning and Optimization of Implicit Negative Feedback for Industrial Short-video Recommender System, , http://dx.doi.org/10.48550/arxiv.2308.13249
    Conference Papers | 2023
    Qian S; Pagnucco M; Song Y, 2023, 'Adaptive Local Prototype and Cycle Attention for Few-shot Medical Image Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 49 - 56, http://dx.doi.org/10.1109/DICTA60407.2023.00016
    Conference Papers | 2023
    Si Z; Sun Z; Zhang X; Xu J; Zang X; Song Y; Gai K; Wen J-R, 2023, 'When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation', in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, presented at SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3539618.3591786
    Preprints | 2023
    Si Z; Sun Z; Zhang X; Xu J; Zang X; Song Y; Gai K; Wen J-R, 2023, When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation, , http://dx.doi.org/10.48550/arxiv.2305.10822
    Conference Papers | 2023
    Sun Z; Si Z; Zang X; Leng D; Niu Y; Song Y; Zhang X; Xu J, 2023, 'KuaiSAR: A Unified Search And Recommendation Dataset', in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, ACM, presented at CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3583780.3615123
    Preprints | 2023
    Sun Z; Si Z; Zang X; Leng D; Niu Y; Song Y; Zhang X; Xu J, 2023, KuaiSAR: A Unified Search And Recommendation Dataset, , http://dx.doi.org/10.48550/arxiv.2306.07705
    Conference Presentations | 2023
    Thurow S; Del Favero D; Frohne U; Moinuddin K; Sharma A; Song Y, 2023, 'Re-Imagining the Climate Emergency Using AI Visualisation', presented at RE:SOURCE – 10th International Conference on the Histories of Media Art, Science & Technology, Venice Centre for Digital & Public Humanities, Università Ca’Foscari Venice, Italy, 13 September 2023 - 16 September 2023, https://www.resource-media.art/
    Conference Papers | 2023
    Wan F; Wang J; Duan H; Song Y; Pagnucco M; Long Y, 2023, 'Community-Aware Federated Video Summarization', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191101
    Conference Papers | 2023
    Wang J; Sun Z; Qian Y; Gong D; Sun X; Lin M; Pagnucco M; Song Y, 2023, 'MAXIMIZING SPATIO-TEMPORAL ENTROPY OF DEEP 3D CNNS FOR EFFICIENT VIDEO RECOGNITION', in 11th International Conference on Learning Representations, ICLR 2023
    Conference Papers | 2023
    Wang W; Song Y; Jha S, 2023, 'Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations', in Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, pp. 4454 - 4458, http://dx.doi.org/10.21437/Interspeech.2023-368
    Conference Papers | 2023
    Wu C; Wang C; Xu J; Fang Z; Gu T; Wang C; Song Y; Zheng K; Wang X; Zhou G, 2023, 'Instant Representation Learning for Recommendation over Large Dynamic Graphs', in 2023 IEEE 39th International Conference on Data Engineering (ICDE), IEEE, presented at 2023 IEEE 39th International Conference on Data Engineering (ICDE), 03 April 2023 - 07 April 2023, http://dx.doi.org/10.1109/icde55515.2023.00014
    Conference Papers | 2023
    Wu C; Wang C; Xu J; Liu Z; Zheng K; Wang X; Song Y; Gai K, 2023, 'Graph Contrastive Learning with Generative Adversarial Network', in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, presented at KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, http://dx.doi.org/10.1145/3580305.3599370
    Preprints | 2023
    Wu C; Wang C; Xu J; Liu Z; Zheng K; Wang X; Song Y; Gai K, 2023, Graph Contrastive Learning with Generative Adversarial Network, , http://dx.doi.org/10.48550/arxiv.2308.00535
    Conference Papers | 2023
    Xu J; Wang C; Wu C; Song Y; Zheng K; Wang X; Wang C; Zhou G; Gai K, 2023, 'Multi-behavior Self-supervised Learning for Recommendation', in Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, presented at SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3539618.3591734
    Preprints | 2023
    Xu J; Wang C; Wu C; Song Y; Zheng K; Wang X; Wang C; Zhou G; Gai K, 2023, Multi-behavior Self-supervised Learning for Recommendation, , http://dx.doi.org/10.48550/arxiv.2305.18238
    Conference Papers | 2023
    Xu Y; Guo R; Pagnucco M; Song Y, 2023, 'Draw2Edit: Mask-Free Sketch-Guided Image Manipulation', in MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia, pp. 7205 - 7215, http://dx.doi.org/10.1145/3581783.3612398
    Conference Papers | 2023
    Zhang B; Sun C; Tan J; Cai X; Zhao J; Miao M; Yin K; Song C; Mou N; Song Y, 2023, 'SHARK: A Lightweight Model Compression Approach for Large-scale Recommender Systems', in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, ACM, presented at CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3583780.3615499
    Conference Papers | 2023
    Zhang Y; Bai Y; Chang J; Zang X; Lu S; Lu J; Feng F; Niu Y; Song Y, 2023, 'Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework', in Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, ACM, presented at CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3583780.3615483
    Preprints | 2023
    Zhang Y; Bai Y; Chang J; Zang X; Lu S; Lu J; Feng F; Niu Y; Song Y, 2023, Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework, , http://dx.doi.org/10.48550/arxiv.2306.17426
    Conference Papers | 2022
    Chen Y; Zhang C; Song Y; Xue T; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell L, 2022, 'Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Fiber Clustering', in ISMRM Annual Meeting, ISMRM, presented at Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, 07 May 2022 - 12 May 2022, http://dx.doi.org/10.58530/2022/3303
    Preprints | 2022
    Chen Y; Zhang C; Xue T; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell LJ, 2022, Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation, http://dx.doi.org/10.48550/arxiv.2205.00627
    Preprints | 2022
    Chen Y; Zhang F; Zhang C; Xue T; Zekelman LR; He J; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; O'Donnell LJ, 2022, White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning, http://dx.doi.org/10.48550/arxiv.2207.02402
    Conference Papers | 2022
    Chen Y; Zhang F; Zhang C; Xue T; Zekelman LR; He J; Song Y; Makris N; Rathi Y; Golby AJ; Cai W; O’Donnell LJ, 2022, 'White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 174 - 184, presented at 25th International Conference, Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapore, 18 September 2022 - 22 September 2022, http://dx.doi.org/10.1007/978-3-031-16431-6_17
    Conference Papers | 2022
    Chu SW; Zhang C; Song Y; Cai W, 2022, 'Channel-Position Self-Attention with Query Refinement Skeleton Graph Neural Network in Human Pose Estimation', in 2022 IEEE International Conference on Image Processing: Proceedings, IEEE, Bordeaux, France, pp. 971 - 975, presented at 2022 IEEE International Conference on Image Processing (ICIP), Bordeaux, France, 16 October 2022, http://dx.doi.org/10.1109/ICIP46576.2022.9897882
    Conference Papers | 2022
    Cong C; Yang Y; Liu S; Pagnucco M; Di Ieva A; Berkovsky S; Song Y, 2022, 'Adaptive Unified Contrastive Learning for Imbalanced Classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 348 - 357, http://dx.doi.org/10.1007/978-3-031-21014-3_36
    Conference Papers | 2022
    Cong C; Yang Y; Liu S; Pagnucco M; Song Y, 2022, 'Imbalanced Histopathology Image Classification Using Deep Feature Graph Attention Network', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761619
    Creative Works (non-textual) | 2022
    Del Favero D; Thurow S; Tirado Cortes C; Ong A; Brohier N; Helsby-Clark N; Song Y; Sharples J, 2022, Penumbra 1.0, DĂĽsseldorf Cologne Open, Galerie Brigitte Schenk, Cologne, Germany, 02 September 2022 - 06 December 2022, medium: single channel video, at: https://www.dc-open.de/venues/galerie-brigitte-schenk
    Conference Papers | 2022
    Fan L; Ding Y; Fan D; Di D; Pagnucco M; Song Y, 2022, 'GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 21084 - 21093, http://dx.doi.org/10.1109/CVPR52688.2022.02044
    Preprints | 2022
    Fan L; Ding Y; Fan D; Di D; Pagnucco M; Song Y, 2022, GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains, http://dx.doi.org/10.48550/arxiv.2203.05306
    Conference Papers | 2022
    Fan L; Sowmya A; Meijering E; Song Y, 2022, 'Fast FF-to-FFPE Whole Slide Image Translation via Laplacian Pyramid and Contrastive Learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 409 - 419, http://dx.doi.org/10.1007/978-3-031-16434-7_40
    Conference Papers | 2022
    Gu T; Wang C; Wu C; Lou Y; Xu J; Wang C; Xu K; Ye C; Song Y, 2022, 'HybridGNN: Learning Hybrid Representation for Recommendation in Multiplex Heterogeneous Networks', in 2022 IEEE 38th International Conference on Data Engineering (ICDE), IEEE, presented at 2022 IEEE 38th International Conference on Data Engineering (ICDE), 09 May 2022 - 12 May 2022, http://dx.doi.org/10.1109/icde53745.2022.00106
    Conference Papers | 2022
    Hu Y; Pan Y; Song Y; Meijering E; Cui Z; Zhao Y; Ding Z; Zhu M; Shen D, 2022, 'Parallel Sinogram and Image Framework With Co-Training Strategy for Metal Artifact Reduction in Tooth Ct Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761653
    Conference Papers | 2022
    Huang R; Pagnucco M; Song Y, 2022, 'Analysis of the Over-exposure Problem for Robust Scene Parsing', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034628
    Conference Papers | 2022
    Li K; Shao G; Yang N; Fang X; Song Y, 2022, 'Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou', in Proceedings of the 31st ACM International Conference on Information & Knowledge Management, ACM, presented at CIKM '22: The 31st ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3511808.3557152
    Preprints | 2022
    Li K; Shao G; Yang N; Fang X; Song Y, 2022, Billion-user Customer Lifetime Value Prediction: An Industrial-scale Solution from Kuaishou, , http://dx.doi.org/10.48550/arxiv.2208.13358
    Conference Papers | 2022
    Li L; Pagnucco M; Song Y, 2022, 'Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2221 - 2231, http://dx.doi.org/10.1109/CVPR52688.2022.00227
    Conference Papers | 2022
    Li P; Yang Y; Pagnucco M; Song Y, 2022, 'CoGNet: Cooperative Graph Neural Networks', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892241
    Conference Papers | 2022
    Luo S; Heng Z; Pagnucco M; Song Y, 2022, 'Two-Stage Topological Refinement Network for Retinal Artery/Vein Classification', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761669
    Preprints | 2022
    Mandal A; Priyam S; Chan HH; Gouveia BM; Guitera P; Song Y; Baker MAB; Vafaee F, 2022, Computer-aided diagnosis of reflectance confocal images to differentiate between lentigo maligna (LM) and atypical intraepidermal melanocytic proliferation (AIMP), , http://dx.doi.org/10.1101/2022.05.10.491423
    Conference Papers | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, 'Imbalanced Cell-Cycle Classification Using Wgan-Div and Mixup', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761488
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.1101/2022.08.30.505762
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Data augmentation for imbalanced blood cell image classification, http://dx.doi.org/10.21203/rs.3.rs-1645828/v1
    Preprints | 2022
    Rana P; Sowmya A; Meijering E; Song Y, 2022, Imbalanced classification for protein subcellular localisation with multilabel oversampling, http://dx.doi.org/10.1101/2022.09.12.507675
    Conference Papers | 2022
    Tian Y; Chang J; Niu Y; Song Y; Li C, 2022, 'When Multi-Level Meets Multi-Interest', in Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, presented at SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, http://dx.doi.org/10.1145/3477495.3532081
    Conference Papers | 2022
    Wang J; Qin L; Zhang P; Long Y; Hu B; Pagnucco M; Wang S; Song Y, 2022, 'Towards Unified Multi-Excitation for Unsupervised Video Prediction', in BMVC 2022 - 33rd British Machine Vision Conference Proceedings, London, UK & Online, presented at BMVC 2022 - 33rd British Machine Vision Conference, London, UK & Online, 21 November 2022, https://bmvc2022.mpi-inf.mpg.de/587/
    Conference Papers | 2022
    Wang W; Song Y; Jha S, 2022, 'AUTOLV: AUTOMATIC LECTURE VIDEO GENERATOR', in Proceedings - International Conference on Image Processing, ICIP, pp. 1086 - 1090, http://dx.doi.org/10.1109/ICIP46576.2022.9897436
    Conference Papers | 2022
    Xie K; Yang Y; Pagnucco M; Song Y, 2022, 'Electron Microscope Image Registration Using Laplacian Sharpening Transformer U-Net', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 310 - 319, presented at 25th International Conference, Medical Image Computing and Computer Assisted Intervention, MICCAI 2022, Singapore, 18 September 2022 - 22 September 2022, http://dx.doi.org/10.1007/978-3-031-16446-0_30
    Conference Papers | 2022
    Xie K; Zhong H; Chang J; Pagnucco M; Song Y, 2022, 'D2E2-Net: Double Deep Edge Enhancement for Weakly-Supervised Cell Nuclei Segmentation with Incomplete Point Annotations', in 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), IEEE, pp. 1 - 8, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 30 November 2022 - 02 December 2022, http://dx.doi.org/10.1109/dicta56598.2022.10034599
    Preprints | 2022
    Xue T; Zhang F; Zhang C; Chen Y; Song Y; Golby AJ; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2022, Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions, , http://dx.doi.org/10.48550/arxiv.2207.08975
    Conference Papers | 2022
    Xue T; Zhang F; Zhang C; Chen Y; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2022, 'Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761541
    Preprints | 2022
    Xue T; Zhang F; Zhang C; Chen Y; Song Y; Makris N; Rathi Y; Cai W; O'Donnell LJ, 2022, SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning, , http://dx.doi.org/10.48550/arxiv.2201.12528
    Conference Papers | 2022
    Xue T; Zhang F; Zhang C; Chen Y; Song Y; Makris N; Rathi Y; Cai W; O’Donnell L, 2022, 'An efficient deep learning framework for consistent superficial white matter tractography parcellation', in ISMRM Annual Meeting, ISMRM, presented at Joint Annual Meeting ISMRM-ESMRMB ISMRT 31st Annual Meeting, 07 May 2022 - 12 May 2022, http://dx.doi.org/10.58530/2022/3302
    Conference Papers | 2022
    Zheng Y; Gao C; Chang J; Niu Y; Song Y; Jin D; Li Y, 2022, 'Disentangling Long and Short-Term Interests for Recommendation', in Proceedings of the ACM Web Conference 2022, ACM, presented at WWW '22: The ACM Web Conference 2022, http://dx.doi.org/10.1145/3485447.3512098
    Preprints | 2022
    Zheng Y; Gao C; Chang J; Niu Y; Song Y; Jin D; Li Y, 2022, Disentangling Long and Short-Term Interests for Recommendation, , http://dx.doi.org/10.48550/arxiv.2202.13090
    Conference Papers | 2022
    Zhu J; Bolsterlee B; Chow BVY; Song Y; Meijering E, 2022, 'Hybrid Attentive Unet for Segmentation of Lower Leg Muscles and Bones From MRI Scans For Musculoskeletal Research', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI52829.2022.9761501
    Conference Papers | 2021
    Bai Y; Wang J; Long Y; Hu B; Song Y; Pagnucco M; Guan Y, 2021, 'Discriminative Latent Semantic Graph for Video Captioning', in MM 2021 - Proceedings of the 29th ACM International Conference on Multimedia, pp. 3556 - 3564, http://dx.doi.org/10.1145/3474085.3475519
    Preprints | 2021
    Bai Y; Wang J; Long Y; Hu B; Song Y; Pagnucco M; Guan Y, 2021, Discriminative Latent Semantic Graph for Video Captioning, , http://dx.doi.org/10.48550/arxiv.2108.03662
    Conference Papers | 2021
    Chen Y; Song Y; Zhang C; Zhang F; O'Donnell L; Chrzanowski W; Cai W, 2021, 'Celltrack R-CNN: A novel end-to-end deep neural network for cell segmentation and tracking in microscopy images', in Proceedings - International Symposium on Biomedical Imaging, pp. 779 - 782, http://dx.doi.org/10.1109/ISBI48211.2021.9434057
    Preprints | 2021
    Chen Y; Zhang C; Song Y; Makris N; Rathi Y; Cai W; Zhang F; O'Donnell LJ, 2021, Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation, http://dx.doi.org/10.48550/arxiv.2107.04938
    Conference Papers | 2021
    Chu SW; Zhang C; Song Y; Cai W, 2021, 'ITERATIVE SUBNETWORK WITH LINEAR HIERARCHICAL ORDERING FOR HUMAN POSE ESTIMATION', in Proceedings - International Conference on Image Processing, ICIP, pp. 514 - 518, http://dx.doi.org/10.1109/ICIP42928.2021.9506319
    Conference Papers | 2021
    Cong C; Liu S; Ieva AD; Pagnucco M; Berkovsky S; Song Y, 2021, 'Texture enhanced generative adversarial network for stain normalisation in histopathology images', in Proceedings - International Symposium on Biomedical Imaging, pp. 1949 - 1952, http://dx.doi.org/10.1109/ISBI48211.2021.9433860
    Conference Papers | 2021
    Fan L; Sowmya A; Meijering E; Song Y, 2021, 'Learning Visual Features by Colorization for Slide-Consistent Survival Prediction from Whole Slide Images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 592 - 601, http://dx.doi.org/10.1007/978-3-030-87237-3_57
    Conference Papers | 2021
    Lin H; Pagnucco M; Song Y, 2021, 'Edge guided progressively generative image outpainting', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 806 - 815, http://dx.doi.org/10.1109/CVPRW53098.2021.00090
    Conference Papers | 2021
    Liu Y; Liu Q; Tian Y; Wang C; Niu Y; Song Y; Li C, 2021, 'Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation', in Proceedings of the 30th ACM International Conference on Information & Knowledge Management, ACM, presented at CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/3459637.3482417
    Conference Papers | 2021
    Liu Y; Mohammadi G; Song Y; Johal W, 2021, 'Speech-based Gesture Generation for Robots and Embodied Agents: A ScopingReview', Japan, presented at Human-Agent Interaction, Japan, 09 November 2021
    Conference Papers | 2021
    Pagnucco M; Rajaratnam D; Limarga R; Nayak A; Song Y, 2021, 'Epistemic Reasoning for Machine Ethics with Situation Calculus', in AIES 2021 - Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, pp. 814 - 821, http://dx.doi.org/10.1145/3461702.3462586
    Conference Papers | 2021
    Rana P; Meijering E; Sowmya A; Song Y, 2021, 'Multi-label classification based on subcellular region-guided feature description for protein localisation', in Proceedings - International Symposium on Biomedical Imaging, pp. 1929 - 1933, http://dx.doi.org/10.1109/ISBI48211.2021.9434145
    Conference Papers | 2021
    Wang H; Song Y; Zhang C; Yu J; Liu S; Pengy H; Cai W, 2021, 'Single neuron segmentation using graph-based global reasoning with auxiliary skeleton loss from 3D optical microscope images', in Proceedings - International Symposium on Biomedical Imaging, pp. 934 - 938, http://dx.doi.org/10.1109/ISBI48211.2021.9434071
    Preprints | 2021
    Wang H; Zhang C; Yu J; Song Y; Liu S; Chrzanowski W; Cai W, 2021, Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction, http://dx.doi.org/10.48550/arxiv.2108.06522
    Conference Papers | 2021
    Wang J; Long Y; Pagnucco M; Song Y, 2021, 'Dynamic Graph Warping Transformer for Video Alignment', in 32nd British Machine Vision Conference, BMVC 2021, Virtual, presented at 32nd British Machine Vision Conference, BMVC 2021, Virtual, 22 November 2021, https://www.bmvc2021-virtualconference.com/conference/papers/paper_0993.html
    Preprints | 2021
    Wang X; Xiang T; Zhang C; Song Y; Liu D; Huang H; Cai W, 2021, BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation, http://dx.doi.org/10.48550/arxiv.2106.14033
    Conference Papers | 2021
    Xiang T; Zhang C; Song Y; Yu J; Cai W, 2021, 'Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis', in Proceedings of the IEEE International Conference on Computer Vision, pp. 895 - 904, http://dx.doi.org/10.1109/ICCV48922.2021.00095
    Conference Papers | 2021
    Yu J; Zhang C; Song Y; Cai W, 2021, 'ICE-GAN: Identity-Aware and Capsule-Enhanced GAN with Graph-Based Reasoning for Micro-Expression Recognition and Synthesis', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533988
    Conference Papers | 2021
    Zhang C; Yu J; Song Y; Cai W, 2021, 'Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 9700 - 9710, http://dx.doi.org/10.1109/CVPR46437.2021.00958
    Conference Papers | 2020
    Cong C; Yang Z; Song Y; Pagnucco M, 2020, 'Towards Enforcing Social Distancing Regulations with Occlusion-Aware Crowd Detection', in 16th IEEE International Conference on Control, Automation, Robotics and Vision, ICARCV 2020, pp. 297 - 302, http://dx.doi.org/10.1109/ICARCV50220.2020.9305507
    Conference Papers | 2020
    Dodballapur V; Calisa R; Song Y; Cai W, 2020, 'Automatic Dropout for Deep Neural Networks', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 185 - 196, http://dx.doi.org/10.1007/978-3-030-63836-8_16
    Conference Papers | 2020
    Dodballapur V; Song Y; Huang H; Chen M; Chrzanowski W; Cai W, 2020, 'Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images', in 2020 Digital Image Computing: Techniques and Applications, DICTA 2020, http://dx.doi.org/10.1109/DICTA51227.2020.9363411
    Conference Papers | 2020
    Huang R; Song Y; Pagnucco M, 2020, 'An Improved Discriminator for GAN-Based Trajectory Prediction Models', in 2020 Digital Image Computing: Techniques and Applications, DICTA 2020, http://dx.doi.org/10.1109/DICTA51227.2020.9363414
    Conference Papers | 2020
    Limarga R; Pagnucco M; Song Y; Nayak A, 2020, 'Non-monotonic Reasoning for Machine Ethics with Situation Calculus', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 203 - 215, http://dx.doi.org/10.1007/978-3-030-64984-5_16
    Preprints | 2020
    Liu D; Zhang D; Song Y; Huang H; Cai W, 2020, Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images, , http://dx.doi.org/10.48550/arxiv.2002.06345
    Preprints | 2020
    Liu D; Zhang D; Song Y; Zhang F; O'Donnell L; Huang H; Chen M; Cai W, 2020, Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting, http://dx.doi.org/10.48550/arxiv.2005.02066
    Conference Papers | 2020
    Liu D; Zhang D; Song Y; Zhang F; O’Donnell L; Huang H; Chen M; Cai W, 2020, 'Unsupervised instance segmentation in microscopy images via panoptic domain adaptation and task re-weighting', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4242 - 4251, http://dx.doi.org/10.1109/CVPR42600.2020.00430
    Conference Papers | 2020
    Tang Z; Zhang D; Song Y; Wang H; Liu D; Zhang C; Liu S; Peng H; Cai W, 2020, '3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation', in Proceedings - International Symposium on Biomedical Imaging, pp. 1775 - 1779, http://dx.doi.org/10.1109/ISBI45749.2020.9098345
    Conference Papers | 2020
    Xiang T; Zhang C; Liu D; Song Y; Huang H; Cai W, 2020, 'Bio-net: Learning recurrent bi-directional connections for encoder-decoder architecture', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 74 - 84, http://dx.doi.org/10.1007/978-3-030-59710-8_8
    Preprints | 2020
    Xiang T; Zhang C; Liu D; Song Y; Huang H; Cai W, 2020, BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture, , http://dx.doi.org/10.48550/arxiv.2007.00243
    Conference Papers | 2020
    Zhang C; Song Y; Yao L; Cai W, 2020, 'Shape-oriented convolution neural network for point cloud analysis', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 12773 - 12780
    Conference Papers | 2019
    Chu SW; Song Y; Zouo JJ; Cai W, 2019, 'Human Pose Estimation Using Deep Convolutional Densenet Hourglass Network with Intermediate Points Voting', in Proceedings - International Conference on Image Processing, ICIP, pp. 594 - 598, http://dx.doi.org/10.1109/ICIP.2019.8803789
    Conference Papers | 2019
    Dodballapur V; Song Y; Huang H; Chen M; Chrzanowski W; Cai W, 2019, 'Mask-driven mitosis detection in histopathology images', in Proceedings - International Symposium on Biomedical Imaging, pp. 1855 - 1859, http://dx.doi.org/10.1109/ISBI.2019.8759164
    Conference Papers | 2019
    Jia H; Song Y; Huang H; Cai W; Xia Y, 2019, 'HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shenzhen, China, pp. 110 - 118, presented at International Conference on Medical Image Computing and Computer-Assisted Intervention MICCAI 2019, Shenzhen, China, 13 October 2019, http://dx.doi.org/10.1007/978-3-030-32245-8_13
    Conference Papers | 2019
    Ke J; Deng J; Lu Y; Wang D; Song Y; Zhang H, 2019, 'Assessment and Elimination of Inflammatory Cell: A Machine Learning Approach in Digital Cytology', in 2019 Digital Image Computing: Techniques and Applications, DICTA 2019, Institute of Electrical and Electronics Engineers (IEEE), AUSTRALIA, Perth, pp. 1 - 8, presented at 2019 Digital Image Computing: Techniques and Applications (DICTA), AUSTRALIA, Perth, 02 December 2019 - 04 December 2019, http://dx.doi.org/10.1109/DICTA47822.2019.8946065
    Conference Papers | 2019
    Liu D; Zhang D; Song Y; Zhang C; Zhang F; O'Donnell L; Cai W, 2019, 'Nuclei segmentation via a deep panoptic model with semantic feature fusion', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 861 - 868, presented at 28th International Joint Conference on Artificial Intelligence - IJCAI-19 – August 10-16 2019, Macao, China, Macao, China, 10 August 2019 - 16 August 2019, http://dx.doi.org/10.24963/ijcai.2019/121
    Conference Papers | 2019
    Wang H; Zhang D; Song Y; Liu S; Gao R; Peng H; Cai W, 2019, 'Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615765
    Conference Papers | 2019
    Wang H; Zhang D; Song Y; Liu S; Huang H; Chen M; Peng H; Cai W, 2019, 'Multiscale kernels for enhanced u-shaped network to improve 3D neuron tracing', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1105 - 1113, http://dx.doi.org/10.1109/CVPRW.2019.00144
    Conference Papers | 2019
    Wang H; Zhang D; Song Y; Liu S; Wang Y; Feng D; Peng H; Cai W, 2019, 'Segmenting neuronal structure in 3d optical microscope images via knowledge distillation with teacher-student network', in Proceedings - International Symposium on Biomedical Imaging, pp. 228 - 231, http://dx.doi.org/10.1109/ISBI.2019.8759326
    Conference Papers | 2019
    Wu Y; Xia Y; Song Y; Zhang D; Liu D; Zhang C; Cai W, 2019, 'Vessel-Net: Retinal vessel segmentation under multi-path supervision', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Shenzhen, China, pp. 264 - 272, presented at MICCAI 2019 - 22nd international conference, Shenzhen, China, October 13-17, 2019, Shenzhen, China, 13 October 2019 - 17 October 2019, http://dx.doi.org/10.1007/978-3-030-32239-7_30
    Conference Papers | 2019
    Zhang C; Song Y; Liu S; Lill S; Wang C; Tang Z; You Y; Gao Y; Klistorner A; Barnett M; Cai W, 2019, 'MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging', in 2018 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2018, http://dx.doi.org/10.1109/DICTA.2018.8615771
    Conference Papers | 2019
    Zhang D; Song Y; Liu D; Zhang C; Wu Y; Wang H; Zhang F; Xia Y; O’Donnell LJ; Cai W, 2019, 'Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Adelaide, SA, Australia, pp. 563 - 573, presented at AI 2019 Advances in Artificial Intelligence, Adelaide, SA, Australia, 02 December 2019, http://dx.doi.org/10.1007/978-3-030-35288-2_45
    Preprints | 2018
    Gao C; He X; Gan D; Chen X; Feng F; Li Y; Chua T-S; Yao L; Song Y; Jin D, 2018, Learning to Recommend with Multiple Cascading Behaviors, http://dx.doi.org/10.48550/arxiv.1809.08161
    Conference Papers | 2018
    Huang Z; Ding C; Zhang L; Lee MZ; Song Y; Selvadurai H; Feng D; Zhang Y; Cai W, 2018, 'Automated Analysis of Chest Radiographs for Cystic Fibrosis Scoring', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 227 - 236, http://dx.doi.org/10.1007/978-3-030-00563-4_22
    Preprints | 2018
    Jia H; Song Y; Zhang D; Huang H; Feng D; Fulham M; Xia Y; Cai W, 2018, 3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation, http://dx.doi.org/10.48550/arxiv.1807.06742
    Conference Papers | 2018
    Liu D; Zhang D; Liu S; Song Y; Jia H; Feng D; Xia Y; Cai W, 2018, 'Densely connected large kernel convolutional network for semantic membrane segmentation in microscopy images', in Proceedings - International Conference on Image Processing, ICIP, pp. 2461 - 2465, http://dx.doi.org/10.1109/ICIP.2018.8451775
    Conference Papers | 2018
    Liu D; Zhang D; Song Y; Zhang C; Huang H; Chen M; Cai W, 2018, 'Large kernel refine fusion net for neuron membrane segmentation', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 2293 - 2301, http://dx.doi.org/10.1109/CVPRW.2018.00297
    Conference Papers | 2018
    Liu D; Zhang D; Song Y; Zhang F; O’Donnell LJ; Cai W, 2018, '3D Large Kernel Anisotropic Network for Brain Tumor Segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 444 - 454, http://dx.doi.org/10.1007/978-3-030-04239-4_40
    Conference Papers | 2018
    Song Y; Chang H; Gao Y; Liu S; Zhang D; Yao J; Chrzanowski W; Cai W, 2018, 'Feature learning with component selective encoding for histopathology image classification', in Proceedings - International Symposium on Biomedical Imaging, pp. 257 - 260, http://dx.doi.org/10.1109/ISBI.2018.8363568
    Conference Papers | 2018
    Wu Y; Xia Y; Song Y; Zhang Y; Cai W, 2018, 'Multiscale network followed network model for retinal vessel segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 119 - 126, http://dx.doi.org/10.1007/978-3-030-00934-2_14
    Conference Papers | 2018
    Zhang C; Song Y; Zhang D; Liu S; Chen M; Cai W, 2018, 'Whole Slide Image Classification via Iterative Patch Labelling', in Proceedings - International Conference on Image Processing, ICIP, pp. 1408 - 1412, http://dx.doi.org/10.1109/ICIP.2018.8451551
    Conference Papers | 2018
    Zhang D; Song Y; Liu D; Jia H; Liu S; Xia Y; Huang H; Cai W, 2018, 'Panoptic segmentation with an end-to-end cell R-CNN for pathology image analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 237 - 244, http://dx.doi.org/10.1007/978-3-030-00934-2_27
    Conference Papers | 2018
    Zhang D; Song Y; Liu S; Feng D; Wang Y; Cai W, 2018, 'Nuclei instance segmentation with dual contour-enhanced adversarial network', in Proceedings - International Symposium on Biomedical Imaging, pp. 409 - 412, http://dx.doi.org/10.1109/ISBI.2018.8363604
    Conference Papers | 2017
    Liu S; Zhang D; Song Y; Peng H; Cai W, 2017, 'Triple-crossing 2.5D convolutional neural network for detecting neuronal arbours in 3D microscopic images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 185 - 193, http://dx.doi.org/10.1007/978-3-319-67389-9_22
    Preprints | 2017
    Liu S; Zhang D; Song Y; Peng H; Cai W, 2017, Automated 3D Neuron Tracing with Precise Branch Erasing and Confidence Controlled Back-Tracking, http://dx.doi.org/10.1101/109892
    Conference Papers | 2017
    Song Y; Chang H; Huang H; Cai W, 2017, 'Supervised intra-embedding of fisher vectors for histopathology image classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 99 - 106, http://dx.doi.org/10.1007/978-3-319-66179-7_12
    Conference Papers | 2017
    Song Y; Zhang F; Li Q; Huang H; Odonnell LJ; Cai W, 2017, 'Locally-Transferred Fisher Vectors for Texture Classification', in Proceedings of the IEEE International Conference on Computer Vision, pp. 4922 - 4930, http://dx.doi.org/10.1109/ICCV.2017.526
    Conference Papers | 2017
    Song Y; Zou JJ; Chang H; Cai W, 2017, 'Adapting fisher vectors for histopathology image classification', in Proceedings - International Symposium on Biomedical Imaging, pp. 600 - 603, http://dx.doi.org/10.1109/ISBI.2017.7950592
    Conference Papers | 2017
    Tang Z; Zhang D; Liu S; Song Y; Peng H; Cai W, 2017, 'Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing', in Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017, pp. 126 - 133, http://dx.doi.org/10.1109/ICCVW.2017.23
    Conference Papers | 2017
    Tareef A; Song Y; Feng D; Chen M; Cai W, 2017, 'Automated multi-stage segmentation of white blood cells via optimizing color processing', in Proceedings - International Symposium on Biomedical Imaging, pp. 565 - 568, http://dx.doi.org/10.1109/ISBI.2017.7950584
    Conference Papers | 2017
    Zhang F; Kahali P; Suter Y; Norton I; Rigolo L; Savadjiev P; Song Y; Rathi Y; Cai W; Wells WM; Golby AJ; O'Donnell LJ, 2017, 'Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction', in Proceedings - International Symposium on Biomedical Imaging, pp. 774 - 777, http://dx.doi.org/10.1109/ISBI.2017.7950633
    Conference Papers | 2017
    Zhang F; Norton I; Cai W; Song Y; Wells WM; O'Donnell LJ, 2017, 'Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency', in Proceedings - International Symposium on Biomedical Imaging, pp. 796 - 799, http://dx.doi.org/10.1109/ISBI.2017.7950638
    Conference Papers | 2017
    Zhang F; Wu W; Ning L; McAnulty G; Waber D; Gagoski B; Sarill K; Hamoda HM; Song Y; Cai W; Rathi Y; O’Donnell LJ, 2017, 'Supra-threshold fiber cluster statistics for data-driven whole brain tractography analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 556 - 565, http://dx.doi.org/10.1007/978-3-319-66182-7_64
    Conference Papers | 2016
    Guo Q; Song Y, 2016, 'Large-Scale Analysis of Viewing Behavior', in Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, ACM, presented at CIKM'16: ACM Conference on Information and Knowledge Management, http://dx.doi.org/10.1145/2983323.2983846
    Conference Papers | 2016
    Liu S; Song Y; Zhang F; Feng D; Fulham M; Cai W, 2016, 'Clique identification and propagation for multimodal brain Tumor image segmentation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 285 - 294, http://dx.doi.org/10.1007/978-3-319-47103-7_28
    Conference Papers | 2016
    Song Y; Cat W; Zhang F; Huang H; Dagan Feng D; Wang Y; Chen M, 2016, 'Texture analysis of tissue aging using global and cluster constrained local coding', in Proceedings - International Symposium on Biomedical Imaging, pp. 1229 - 1232, http://dx.doi.org/10.1109/ISBI.2016.7493488
    Conference Papers | 2016
    Song Y; Li Q; Huang H; Feng D; Chen M; Cai W, 2016, 'Histopathology image categorization with discriminative dimension reduction of fisher vectors', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 306 - 317, http://dx.doi.org/10.1007/978-3-319-46604-0_22
    Conference Papers | 2016
    Tareef A; Song Y; Cai W; Wang Y; Feng DD; Chen M, 2016, 'Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement', in Proceedings - International Symposium on Biomedical Imaging, pp. 935 - 938, http://dx.doi.org/10.1109/ISBI.2016.7493418
    Conference Papers | 2016
    Zhang F; Savadjiev P; Cai W; Song Y; Verma R; Westin CF; O'Donnell LJ, 2016, 'Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging', in Proceedings - International Symposium on Biomedical Imaging, pp. 564 - 567, http://dx.doi.org/10.1109/ISBI.2016.7493331
    Conference Papers | 2015
    Song Y; Cai W; Li Q; Zhang F; Feng DD; Huang H, 2015, 'Fusing subcategory probabilities for texture classification', in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 4409 - 4417, http://dx.doi.org/10.1109/CVPR.2015.7299070
    Conference Papers | 2015
    Song Y; Cai W; Zhang F; Huang H; Zhou Y; Dagan Feng D, 2015, 'Bone texture characterization with fisher encoding of local descriptors', in Proceedings - International Symposium on Biomedical Imaging, pp. 5 - 8, http://dx.doi.org/10.1109/ISBI.2015.7163803
    Conference Papers | 2015
    Tareef A; Song Y; Cai W; Huang H; Wang Y; Feng D; Chen M, 2015, 'Learning shape-driven segmentation based on neural network and sparse reconstruction toward automated cell analysis of cervical smears', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 390 - 400, http://dx.doi.org/10.1007/978-3-319-26532-2_43
    Conference Papers | 2015
    Tareef A; Song Y; Lee MZ; Feng DD; Chen M; Cai W, 2015, 'Morphological Filtering and Hierarchical Deformation for Partially Overlapping Cell Segmentation', in 2015 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, http://dx.doi.org/10.1109/DICTA.2015.7371285
    Conference Papers | 2015
    Zhang F; Cai W; Song Y; Young P; Traini D; Morgan L; Ong HX; Buddle L; Feng D, 2015, 'Beating cilia identification in fluorescence microscope images for accurate CBF measurement', in Proceedings - International Conference on Image Processing, ICIP, pp. 4496 - 4500, http://dx.doi.org/10.1109/ICIP.2015.7351657
    Conference Papers | 2015
    Zhang F; Song Y; Cai W; Depeursinge A; MĂĽller H, 2015, 'USYD/HES-SO in the VISCERAL retrieval benchmark', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 139 - 143, http://dx.doi.org/10.1007/978-3-319-24471-6_13
    Conference Papers | 2015
    Zhang F; Song Y; Cai W; Hauptmann AG; Liu S; Liu S; Feng DD; Chen M, 2015, 'Ranking-based vocabulary pruning in bag-of-features for image retrieval', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 436 - 445, http://dx.doi.org/10.1007/978-3-319-14803-8_34
    Conference Papers | 2015
    Zhang F; Song Y; Liu S; Pujol S; Kikinis R; Feng D; Cai W, 2015, 'Latent semantic association for medical image retrieval', in 2014 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2014, http://dx.doi.org/10.1109/DICTA.2014.7008114
    Conference Papers | 2015
    Zhang F; Song Y; Liu S; Young P; Traini D; Morgan L; Ong HX; Buddle L; Liu S; Feng D; Cai W, 2015, 'Motion representation of ciliated cell images with contour-alignment for automated CBF estimation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 300 - 307, http://dx.doi.org/10.1007/978-3-319-24574-4_36
    Conference Papers | 2014
    Cai W; Liu S; Song Y; Pujol S; Kikinis R; Feng D, 2014, 'A 3D difference-of-Gaussian-based lesion detector for brain PET', in 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), IEEE, pp. 677 - 680, presented at 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014), 29 April 2014 - 02 May 2014, http://dx.doi.org/10.1109/isbi.2014.6867961
    Conference Papers | 2014
    Cai W; Zhang F; Song Y; Liu S; Wen L; Eberl S; Fulham M; Feng D, 2014, 'Automated feedback extraction for medical imaging retrieval', in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp. 907 - 910, http://dx.doi.org/10.1109/isbi.2014.6868018
    Conference Papers | 2014
    Ng G; Song Y; Cai W; Zhou Y; Liu S; Dagan Feng D, 2014, 'Hierarchical and binary spatial descriptors for lung nodule image retrieval', in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp. 6463 - 6466, http://dx.doi.org/10.1109/EMBC.2014.6945108
    Conference Papers | 2014
    Song Y; Cai W; Huang H; Zhou Y; Wang Y; Feng DD, 2014, 'BOOSTED MULTIFOLD SPARSE REPRESENTATION WITH APPLICATION TO ILD CLASSIFICATION', in 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), IEEE, PEOPLES R CHINA, Beijing, pp. 1023 - 1026, presented at 11th IEEE International Symposium on Biomedical Imaging (ISBI), PEOPLES R CHINA, Beijing, 29 April 2014 - 02 May 2014, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000392750900254&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Abstracts | 2014
    Song Y; Cai W; Zhou Y; Fulham M; Feng D, 2014, 'Volume-of-interest retrieval for PET-CT images with a conditional random field alignment', in JOURNAL OF NUCLEAR MEDICINE, SOC NUCLEAR MEDICINE INC, MO, St Louis, Vol. 55, presented at Annual Meeting of the Society-of-Nuclear-Medicine-and-Molecular-Imaging (SNMMI), MO, St Louis, 07 June 2014 - 11 June 2014, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000361438103236&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
    Conference Papers | 2014
    Song Y; Cail W; Huang H; Zhou Y; Feng DDA; Chen M, 2014, 'Large margin aggregation of local estimates for medical image classification', in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 196 - 203
    Conference Papers | 2014
    Tareef A; Song Y; Cai W; Feng DD; Chen M, 2014, 'Automated three-stage nucleus and cytoplasm segmentation of overlapping cells', in 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014, pp. 865 - 870, http://dx.doi.org/10.1109/ICARCV.2014.7064418
    Conference Papers | 2014
    Zhang F; Cai W; Song Y; Young P; Traini D; Morgan L; Ong HX; Buddle L; Feng D, 2014, 'Image-based ciliary beating frequency estimation for therapeutic assessment on defective mucociliary clearance diseases', in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp. 193 - 196, http://dx.doi.org/10.1109/isbi.2014.6867842
    Conference Papers | 2014
    Zhang F; Song Y; Cai W; Zhou Y; Fulham M; Eberl S; Shan S; Feng D, 2014, 'A ranking-based lung nodule image classification method using unlabeled image knowledge', in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, pp. 1356 - 1359, http://dx.doi.org/10.1109/isbi.2014.6868129
    Conference Papers | 2013
    Lee MZ; Cai W; Song Y; Selvadurai H; Feng DD, 2013, 'Fully automated scoring of chest radiographs in cystic fibrosis', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 3965 - 3968, http://dx.doi.org/10.1109/EMBC.2013.6610413
    Conference Papers | 2013
    Liu S; Cai W; Song Y; Pujol S; Kikinis R; Wen L; Feng DD, 2013, 'Localized Sparse Code Gradient in Alzheimer's disease staging', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 5398 - 5401, http://dx.doi.org/10.1109/EMBC.2013.6610769
    Conference Papers | 2013
    Liu S; Song Y; Cai W; Pujol S; Kikinis R; Wang X; Feng D, 2013, 'Multifold Bayesian kernelization in Alzheimer's diagnosis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 303 - 310, http://dx.doi.org/10.1007/978-3-642-40763-5_38
    Conference Papers | 2013
    Liu S; Zhang L; Cai W; Song Y; Wang Z; Wen L; Feng DD, 2013, 'A supervised multiview spectral embedding method for neuroimaging classification', in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, pp. 601 - 605, http://dx.doi.org/10.1109/ICIP.2013.6738124
    Conference Papers | 2013
    Lu S; Wang Z; Song Y; Mei T; Feng DD, 2013, 'A bag-of-importance model for video summarization', in Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013, http://dx.doi.org/10.1109/ICMEW.2013.6618454
    Conference Papers | 2013
    Song Y; Cai W; Feng DD; Chen M, 2013, 'Cell nuclei segmentation in fluorescence microscopy images using inter- and intra-region discriminative information', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 6087 - 6090, http://dx.doi.org/10.1109/EMBC.2013.6610941
    Conference Papers | 2013
    Song Y; Cai W; Huang H; Wang X; Eberl S; Fulham M; Feng D, 2013, 'Similarity guided feature labeling for lesion detection', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 284 - 291, http://dx.doi.org/10.1007/978-3-642-40811-3_36
    Conference Papers | 2013
    Song Y; Cai W; Huang H; Wang Y; Feng DD, 2013, 'Context enhanced graphical model for object localization in medical images', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 194 - 205, http://dx.doi.org/10.1007/978-3-642-36620-8_19
    Conference Papers | 2013
    Song Y; Cai W; Huh S; Chen M; Kanade T; Zhou Y; Feng D, 2013, 'Discriminative data transform for image feature extraction and classification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 452 - 459, http://dx.doi.org/10.1007/978-3-642-40763-5_56
    Conference Papers | 2013
    Song Y; Cai W; Zhou Y; Wen L; Feng DD, 2013, 'Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor', in Proceedings - International Symposium on Biomedical Imaging, pp. 198 - 201, http://dx.doi.org/10.1109/ISBI.2013.6556446
    Conference Papers | 2013
    Zhang F; Cai W; Song Y; Lee MZ; Shan S; Dagan D, 2013, 'Overlapping node discovery for improving classification of lung nodules', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 5461 - 5464, http://dx.doi.org/10.1109/EMBC.2013.6610785
    Conference Papers | 2013
    Zhang F; Song Y; Cai W; Zhou Y; Shan S; Feng D, 2013, 'Context curves for classification of lung nodule images', in 2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013, http://dx.doi.org/10.1109/DICTA.2013.6691494
    Conference Papers | 2013
    Zhang L; Liu S; Wang Z; Cai W; Song Y; Feng DD, 2013, 'Graph cuts based relevance feedback in image retrieval', in 2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings, pp. 4358 - 4362, http://dx.doi.org/10.1109/ICIP.2013.6738898
    Conference Papers | 2012
    Cai W; Song Y; Feng DD, 2012, 'Regression and classification based distance metric learning for medical image retrieval', in Proceedings - International Symposium on Biomedical Imaging, pp. 1775 - 1778, http://dx.doi.org/10.1109/ISBI.2012.6235925
    Conference Papers | 2012
    Song Y; Cai W; Feng DD, 2012, 'Global context inference for adaptive abnormality detection in PET-CT images', in Proceedings - International Symposium on Biomedical Imaging, pp. 482 - 485, http://dx.doi.org/10.1109/ISBI.2012.6235589
    Conference Papers | 2012
    Song Y; Cai W; Feng DD, 2012, 'Microscopic image segmentation with two-level enhancement of feature discriminability', in 2012 International Conference on Digital Image Computing Techniques and Applications, DICTA 2012, http://dx.doi.org/10.1109/DICTA.2012.6411682
    Conference Papers | 2012
    Song Y; Cai W; Huang H; Wang Y; Feng DD, 2012, 'Object localization in medical images based on graphical model with contrast and interest-region terms', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 1 - 7, http://dx.doi.org/10.1109/CVPRW.2012.6239240
    Conference Papers | 2012
    Song Y; Cai W; Wang Y; Feng DD, 2012, 'Location classification of lung nodules with optimized graph construction', in Proceedings - International Symposium on Biomedical Imaging, pp. 1439 - 1442, http://dx.doi.org/10.1109/ISBI.2012.6235841
    Conference Papers | 2012
    Song Y; Cai W; Zhou Y; Feng D, 2012, 'Thoracic abnormality detection with data adaptive structure estimation', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 74 - 81, http://dx.doi.org/10.1007/978-3-642-33415-3_10
    Conference Papers | 2011
    Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2011, 'Discriminative pathological context detection in thoracic images based on multi-level inference', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 191 - 198, http://dx.doi.org/10.1007/978-3-642-23626-6_24
    Conference Papers | 2011
    Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2011, 'Region and learning based retrieval for multi-modality medical images', in Proceedings of the 8th IASTED International Conference on Biomedical Engineering, Biomed 2011, pp. 343 - 350, http://dx.doi.org/10.2316/P.2011.723-063
    Conference Papers | 2011
    Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2011, 'Thoracic image case retrieval with spatial and contextual information', in Proceedings - International Symposium on Biomedical Imaging, pp. 1885 - 1888, http://dx.doi.org/10.1109/ISBI.2011.5872776
    Conference Papers | 2011
    Song Y; Cai W; Eberl S; Fulham MJ; Feng DD, 2011, 'Thoracic image matching with appearance and spatial distribution', in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 4469 - 4472, http://dx.doi.org/10.1109/IEMBS.2011.6091108
    Conference Papers | 2011
    Song Y; Cai W; Feng DD, 2011, 'Hierarchical spatial matching for medical image retrieval', in MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops - 2011 ACM International Workshop on Medical Multimedia Analysis and Retrieval, MMAR'11, pp. 1 - 6, http://dx.doi.org/10.1145/2072545.2072547
    Conference Papers | 2010
    Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2010, 'A content-based image retrieval framework for multi-modality lung images', in Proceedings - IEEE Symposium on Computer-Based Medical Systems, pp. 285 - 290, http://dx.doi.org/10.1109/CBMS.2010.6042657
    Conference Papers | 2010
    Song Y; Cai W; Eberl S; Fulham MJ; Feng D, 2010, 'Structure-adaptive feature extraction and representation for multi-modality lung images retrieval', in Proceedings - 2010 Digital Image Computing: Techniques and Applications, DICTA 2010, pp. 152 - 157, http://dx.doi.org/10.1109/DICTA.2010.37

Selected awards: 

  • 2024      ARC Industrial Transformation Research Hub for Human-Robot Teaming (2024 - 2029) 
  • 2023      Award for Inclusion Research, Google
  • 2023      ARC Linkage Project (2023 - 2026)
  • 2023      Women in AI 2023 Asia-Pacific Award in AI in Innovation
  • 2022      NHMRC Ideas Grant (2023 - 2027)
  • 2021      Faculty of Engineering Research Excellence Award, UNSW
  • 2021      Impact Scholar, Google
  • 2020      Scientia Fellowship, UNSW (2020 - 2028)
  • 2019      ARC Future Fellowship (2020 - 2024)
  • 2017      Dean’s Research Award, University of Sydney
  • 2015      ARC Discovery Early Career Researcher Award (DECRA) (2015 - 2018)
  • 2013      Google Publication Prize

My Teaching

  • COMP9517 - Computer Vision 
  • COMP9417 - Machine Learning and Data Mining
  • COMP9491 - Applied Artificial Intelligence
  • Vertically Integrated Project - AI 4 Everyone
  • Supervision of Honours thesis studies and Master's research project studies