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Dr Xin Cao

Dr Xin Cao

Senior Lecturer
Engineering
Computer Science and Engineering

I am currently an ARC DECRA Fellow and a senior lecturer in the School of Computer Science and Engineering (CSE) at The University of New South Wales (UNSW). I had worked as a lecturer in the Knowledge and Data Engineering research cluster within the School of Electronics, Electrical Engineering and Computer Science at Queen's University Belfast (QUB) from 2014 to 2016.

I did my PhD study in the School of Computer Science and Engineering, Nanyang Technological University (NTU) from August ...
E-mail
xin.cao@unsw.edu.au
Location
K17-201D
  • Book Chapters | 2022
    2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Web Information Systems Engineering – WISE 2022, Springer International Publishing, pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
  • Journal articles | 2025
    Mao Y; Hao Y; Cao X; Gao Y; Yao C; Lin X, 2025, 'Boosting GNN-Based Link Prediction via PU-AUC Optimization', IEEE Transactions on Knowledge and Data Engineering, 37, pp. 1635 - 1649, http://dx.doi.org/10.1109/TKDE.2025.3525490
    Journal articles | 2025
    Shao Z; Wang F; Xu Y; Wei W; Yu C; Zhang Z; Yao D; Sun T; Jin G; Cao X; Cong G; Jensen CS; Cheng X, 2025, 'Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis', IEEE Transactions on Knowledge and Data Engineering, 37, pp. 291 - 305, http://dx.doi.org/10.1109/TKDE.2024.3484454
    Journal articles | 2024
    Chen X; Feng L; Cao X; Zeng Y; Hou Y; Zhang Z, 2024, 'Budgeted Sequence Submodular Maximization with Uniform and Non-Uniform Costs', IEEE Transactions on Emerging Topics in Computational Intelligence, 8, pp. 503 - 518, http://dx.doi.org/10.1109/TETCI.2023.3306362
    Journal articles | 2024
    Liu S; McVicar TR; Wu X; Cao X; Liu Y, 2024, 'Assessing the relative importance of dry-season incoming solar radiation and water storage dynamics during the 2005, 2010 and 2015 southern Amazon droughts: Not all droughts are created equal', Environmental Research Letters, 19, http://dx.doi.org/10.1088/1748-9326/ad281e
    Journal articles | 2024
    Mao Y; Hao Y; Cao X; Fang Y; Lin X; Mao H; Xu Z, 2024, 'Dynamic Graph Embedding via Meta-Learning', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 2967 - 2979, http://dx.doi.org/10.1109/TKDE.2023.3329238
    Journal articles | 2024
    Mao Y; Hao Y; Liu W; Lin X; Cao X, 2024, 'Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 12117 - 12129, http://dx.doi.org/10.1109/TNNLS.2023.3252084
    Journal articles | 2024
    Shin YM; Tran C; Shin WY; Cao X, 2024, 'Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes', IEEE Transactions on Emerging Topics in Computing, 12, pp. 150 - 162, http://dx.doi.org/10.1109/TETC.2023.3292240
    Journal articles | 2023
    Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2023, 'GSim: A Graph Neural Network Based Relevance Measure for Heterogeneous Graphs', IEEE Transactions on Knowledge and Data Engineering, 35, pp. 12693 - 12707, http://dx.doi.org/10.1109/TKDE.2023.3271425
    Journal articles | 2023
    Meng Z; Cao X; Cong G, 2023, 'Selectivity Estimation for Queries Containing Predicates over Set-Valued Attributes', Proceedings of the ACM on Management of Data, 1, pp. 1 - 26, http://dx.doi.org/10.1145/3626755
    Journal articles | 2023
    Park JD; Tran C; Shin WY; Cao X, 2023, 'On the Power of Gradual Network Alignment Using Dual-Perception Similarities', IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, pp. 15292 - 15307, http://dx.doi.org/10.1109/TPAMI.2023.3300877
    Journal articles | 2023
    Sheng Y; Cao X; Fang Y; Zhao K; Qi J; Cong G; Zhang W, 2023, 'WISK: A Workload-aware Learned Index for Spatial Keyword Queries', Proceedings of the ACM on Management of Data, 1, pp. 1 - 27, http://dx.doi.org/10.1145/3589332
    Journal articles | 2022
    Huang C; Fang Y; Lin X; Cao X; Zhang W, 2022, 'ABLE: Meta-Path Prediction in Heterogeneous Information Networks', ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA, 16, http://dx.doi.org/10.1145/3494558
    Journal articles | 2022
    Wang K; Wang S; Cao X; Qin L, 2022, 'Efficient Radius-Bounded Community Search in Geo-Social Networks', IEEE Transactions on Knowledge and Data Engineering, 34, pp. 4186 - 4200, http://dx.doi.org/10.1109/TKDE.2020.3040172
    Journal articles | 2021
    Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, 'CP-GNN: A Software for Community Detection in Heterogeneous Information Networks[Formula presented]', Software Impacts, 10, http://dx.doi.org/10.1016/j.simpa.2021.100169
    Journal articles | 2020
    Xu Z; Ke Y; Cao X; Zhou C; Wei P; Gao X, 2020, 'A unified linear convergence analysis of k-SVD', Memetic Computing, 12, pp. 343 - 353, http://dx.doi.org/10.1007/s12293-020-00315-4
    Journal articles | 2020
    Zhao S; Cao X, 2020, 'Multiple-user closest keyword-set querying in road networks', Information Sciences, 509, pp. 133 - 149, http://dx.doi.org/10.1016/j.ins.2019.09.009
    Journal articles | 2019
    Li Y; Cao X; Yuan Y; Wang G, 2019, 'PrivSem: Protecting location privacy using semantic and differential privacy', World Wide Web, 22, pp. 2407 - 2436, http://dx.doi.org/10.1007/s11280-019-00682-0
    Journal articles | 2018
    Zhang D; Li Y; Cao X; Shao J; Shen HT, 2018, 'Augmented keyword search on spatial entity databases', VLDB Journal, 27, pp. 225 - 244, http://dx.doi.org/10.1007/s00778-018-0497-6
    Journal articles | 2017
    Su S; Zhao S; Cheng X; Bi R; Cao X; Wang J, 2017, 'Group-based collective keyword querying in road networks', Information Processing Letters, 118, pp. 83 - 90, http://dx.doi.org/10.1016/j.ipl.2016.10.008
    Journal articles | 2016
    Choudhury FM; Shane Culpepper J; Sellis T; Cao X, 2016, 'Maximizing bichromatic reverse spatial and textual k nearest neighbor queries', Proceedings of the VLDB Endowment, 9, pp. 456 - 467, http://dx.doi.org/10.14778/2904121.2904122
    Journal articles | 2015
    Cao X; Cong G; Guo T; Jensen CS; Ooi BC, 2015, 'Efficient processing of spatial group keyword queries', ACM Transactions on Database Systems, 40, http://dx.doi.org/10.1145/2772600
    Journal articles | 2014
    Cao X; Cong G; Jensen CS; Yiu ML, 2014, 'Retrieving regions of interest for user exploration', Proceedings of the VLDB Endowment, 7, pp. 733 - 744, http://dx.doi.org/10.14778/2732939.2732946
    Journal articles | 2014
    Chen L; Cui Y; Cong G; Cao X, 2014, 'SOPS: A system for efficient processing of spatial-keyword publish/subscribe', Proceedings of the VLDB Endowment, 7, pp. 1601 - 1604, http://dx.doi.org/10.14778/2733004.2733040
    Journal articles | 2012
    Cao X; Chen L; Cong G; Xiao X, 2012, 'Keyword-aware optimal route search', Proceedings of the VLDB Endowment, 5, pp. 1136 - 1147, http://dx.doi.org/10.14778/2350229.2350234
    Journal articles | 2012
    Cao X; Cong G; Cui B; Jensen CS; Yuan Q, 2012, 'Approaches to exploring category information for question retrieval in community question-answer archives', ACM Transactions on Information Systems, 30, http://dx.doi.org/10.1145/2180868.2180869
    Journal articles | 2012
    Cao X; Cong G; Jensen CS; Ng JJ; Ooi BC; Phan NT; Wu D, 2012, 'SWORS: A system for the efficient retrieval of relevant spatial web objects', Proceedings of the VLDB Endowment, 5, pp. 1914 - 1917, http://dx.doi.org/10.14778/2367502.2367536
    Journal articles | 2010
    Cao X; Cong G; Jensen CS, 2010, 'Mining significant semantic locations from GPS data', Proceedings of the VLDB Endowment, 3, pp. 1009 - 1020, http://dx.doi.org/10.14778/1920841.1920968
    Journal articles | 2010
    Cao X; Cong G; Jensen CS, 2010, 'Retrieving top-k prestigebased relevant spatial web objects', Proceedings of the VLDB Endowment, 3, pp. 373 - 384, http://dx.doi.org/10.14778/1920841.1920891
  • Conference Papers | 2023
    Cen H; Xie X; Cao X; Weng J, 2023, 'Approximate Indexing for Top-k Queries over Massive Spatio-textual Data Streams', in Proceedings - 2023 IEEE 39th International Conference on Data Engineering Workshops, ICDEW 2023, pp. 8 - 11, http://dx.doi.org/10.1109/ICDEW58674.2023.00006
    Conference Papers | 2023
    Chang Y; Tanin E; Cao X; Qi J, 2023, 'Spatial Structure-Aware Road Network Embedding via Graph Contrastive Learning', in Advances in Database Technology - EDBT, pp. 144 - 156, http://dx.doi.org/10.48786/edbt.2023.12
    Conference Papers | 2023
    Gao J; Cao X; Yao X; Zhang G; Wang W, 2023, 'LMSFC: A Novel Multidimensional Index Based on Learned Monotonic Space Filling Curves', in Proceedings of the VLDB Endowment, pp. 2605 - 2617, http://dx.doi.org/10.14778/3603581.3603598
    Conference Papers | 2023
    Park JD; Li S; Cao X; Shin WY, 2023, 'Criteria Tell You More than Ratings: Criteria Preference-Aware Light Graph Convolution for Effective Multi-Criteria Recommendation', in Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1808 - 1819, http://dx.doi.org/10.1145/3580305.3599292
    Conference Papers | 2023
    Zhang L; Chen Q; Wang W; Deng C; Cao X; Hao K; Jiang Y; Wang W, 2023, 'Weighted Sampling for Masked Language Modeling', in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, http://dx.doi.org/10.1109/ICASSP49357.2023.10096946
    Conference Papers | 2022
    Chen X; Cao X; Zeng Y; Fang Y; Wang S; Lin X; Feng L, 2022, 'Constrained Path Search with Submodular Function Maximization', in Proceedings - International Conference on Data Engineering, pp. 325 - 337, http://dx.doi.org/10.1109/ICDE53745.2022.00029
    Conference Papers | 2022
    Chen X; Feng L; Cao X; Zeng Y; Hou Y, 2022, 'Budgeted Sequence Submodular Maximization', in IJCAI International Joint Conference on Artificial Intelligence, Vienna, pp. 4733 - 4739, presented at Thirty-First International Joint Conference on Artificial Intelligence, Vienna, 23 July 2022 - 29 July 2022, http://dx.doi.org/10.24963/ijcai.2022/656
    Conference Papers | 2022
    Huang C; Fang Y; Lin X; Cao X; Zhang W; Orlowska M, 2022, 'Estimating Node Importance Values in Heterogeneous Information Networks', in Proceedings - International Conference on Data Engineering, pp. 846 - 858, http://dx.doi.org/10.1109/ICDE53745.2022.00068
    Conference Papers | 2022
    Jiang Y; Fang Fangyixiang@Cuhk.Edu.Cn Y; Ma C; Cao X; Li C, 2022, 'Effective Community Search over Large Star-Schema Heterogeneous Information Networks', in Proceedings of the VLDB Endowment, pp. 2307 - 2320, http://dx.doi.org/10.14778/3551793.3551795
    Conference Papers | 2022
    Li X; Hao K; Yang Z; Cao X; Zhang W; Yuan L; Lin X, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Billion-Scale Labelled Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 49 - 64, http://dx.doi.org/10.1007/978-3-031-20891-1_5
    Conference Papers | 2022
    Li X; Hao K; Yang Z; Cao X; Zhang W, 2022, 'Hop-Constrained s-t Simple Path Enumeration in Large Uncertain Graphs', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 115 - 127, http://dx.doi.org/10.1007/978-3-031-15512-3_9
    Preprints | 2022
    Luo L; Fang Y; Lu M; Cao X; Zhang X; Zhang W, 2022, GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs, , http://dx.doi.org/10.48550/arxiv.2208.06144
    Conference Abstracts | 2022
    Park JD; Tran C; Shin WY; Cao X, 2022, 'Grad-Align: Gradual Network Alignment via Graph Neural Networks (Student Abstract)', in Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022, Vol. 36, pp. 13027 - 13028, http://dx.doi.org/10.1609/aaai.v36i11.21650
    Conference Papers | 2022
    Park JD; Tran C; Shin WY; Cao X, 2022, 'GradAlign+: Empowering Gradual Network Alignment Using Attribute Augmentation', in International Conference on Information and Knowledge Management, Proceedings, pp. 4374 - 4378, http://dx.doi.org/10.1145/3511808.3557605
    Conference Papers | 2022
    Shao Z; Zhang Z; Wei W; Wang F; Xu Y; Cao X; Jensen CS, 2022, 'Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting', in Proceedings of the VLDB Endowment, Sydney, pp. 2733 - 2746, presented at 48th International Conference on Very Large Data Bases, Sydney, 05 September 2022 - 09 September 2022, http://dx.doi.org/10.14778/3551793.3551827
    Conference Papers | 2022
    Zhang L; Chen Q; Wang W; Deng C; Zhang S; Li B; Wang W; Cao X, 2022, 'MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 396 - 409, http://dx.doi.org/10.18653/v1/2022.findings-acl.34
    Preprints | 2022
    Zou D; Wei W; Mao X-L; Wang Z; Qiu M; Zhu F; Cao X, 2022, Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System, http://dx.doi.org/10.48550/arxiv.2204.08807
    Conference Papers | 2022
    Zou D; Wei W; Mao XL; Wang Z; Qiu M; Zhu F; Cao X, 2022, 'Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System', in SIGIR 2022 - Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1358 - 1368, http://dx.doi.org/10.1145/3477495.3532025
    Conference Papers | 2021
    Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, 'Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model', in International Conference on Information and Knowledge Management, Proceedings, pp. 1170 - 1180, http://dx.doi.org/10.1145/3459637.3482250
    Preprints | 2021
    Luo L; Fang Y; Cao X; Zhang X; Zhang W, 2021, Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model, http://dx.doi.org/10.48550/arxiv.2109.02058
    Conference Papers | 2021
    Wang T; Xie X; Cao X; Pedersen TB; Wang Y; Xiao M, 2021, 'On efficient and scalable time-continuous spatial crowdsourcing', in Proceedings - International Conference on Data Engineering, pp. 1212 - 1223, http://dx.doi.org/10.1109/ICDE51399.2021.00109
    Conference Papers | 2021
    Zhang H; Hao Y; Cao X; Fang Y; Shin WY; Wang W, 2021, 'Relation Prediction via Graph Neural Network in Heterogeneous Information Networks with Missing Type Information', in International Conference on Information and Knowledge Management, Proceedings, pp. 2517 - 2526, http://dx.doi.org/10.1145/3459637.3482384
    Conference Papers | 2020
    Chen X; Cao X; Zeng Y; Fang Y; Yao B, 2020, 'Optimal region search with submodular maximization', in IJCAI International Joint Conference on Artificial Intelligence, pp. 1216 - 1222
    Conference Papers | 2020
    Chen Y; Zhang J; Fang Y; Cao X; King I, 2020, 'Efficient community search over large directed graphs: An augmented index-based approach', in IJCAI International Joint Conference on Artificial Intelligence, pp. 3544 - 3550
    Conference Papers | 2020
    Fang Y; Yang Y; Zhang W; Lin X; Cao X, 2020, 'Effective and efficient community search over large heterogeneous information networks', in Proceedings of the VLDB Endowment, pp. 854 - 867, http://dx.doi.org/10.14778/3380750.3380756
    Conference Papers | 2020
    Hao Y; Cao X; Fang Y; Xie X; Wang S, 2020, 'Inductive link prediction for nodes having only attribute information', in IJCAI International Joint Conference on Artificial Intelligence, pp. 1209 - 1215, http://dx.doi.org/10.24963/ijcai.2020/168
    Preprints | 2020
    Hao Y; Cao X; Fang Y; Xie X; Wang S, 2020, Inductive Link Prediction for Nodes Having Only Attribute Information, , http://dx.doi.org/10.48550/arxiv.2007.08053
    Conference Papers | 2020
    Luo J; Cao X; Xie X; Qu Q; Xu Z; Jensen CS, 2020, 'Efficient attribute-constrained Co-located community search', in Proceedings - International Conference on Data Engineering, pp. 1201 - 1212, http://dx.doi.org/10.1109/ICDE48307.2020.00108
    Preprints | 2020
    Wang T; Xie X; Cao X; Pedersen TB; Wang Y; Xiao M, 2020, On Efficient and Scalable Time-Continuous Spatial Crowdsourcing -- Full Version, , http://dx.doi.org/10.48550/arxiv.2010.15404
    Conference Papers | 2020
    Wang Y; Xiao C; Qin J; Cao X; Sun Y; Wang W; Onizuka M, 2020, 'Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 1197 - 1212, http://dx.doi.org/10.1145/3318464.3380570
    Preprints | 2020
    Wang Y; Xiao C; Qin J; Cao X; Sun Y; Wang W; Onizuka M, 2020, Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach, http://dx.doi.org/10.48550/arxiv.2002.06442
    Conference Papers | 2019
    Chen X; Cao X; Xu Z; Zhang Y; Shang S; Zhang W, 2019, 'Accelerate MaxBRkNN Search by kNN estimation', in Proceedings - International Conference on Data Engineering, pp. 1730 - 1733, http://dx.doi.org/10.1109/ICDE.2019.00184
    Conference Papers | 2019
    Luo J; Cao X; Qu Q; Liu Y, 2019, 'Efficient search of the most cohesive co-located community in attributed networks', in Database systems for advanced applications : 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part I (Series title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Chiang Mai, Thailand, pp. 398 - 415, presented at DASFAA, Chiang Mai, Thailand, 22 April 2019 - 25 April 2019, http://dx.doi.org/10.1007/978-3-030-18576-3_24
    Conference Papers | 2019
    Luo J; Xie X; Cao X; Qu Q, 2019, 'Best co-located community search in attributed networks', in International Conference on Information and Knowledge Management, Proceedings, pp. 2453 - 2456, http://dx.doi.org/10.1145/3357384.3358107
    Conference Proceedings (Editor of) | 2019
    Chang L; Gan J; Cao X, (eds.), 2019, 'Preface', Sydney, Vol. 11393 LNCS, presented at 30th Australasian Database Conference, Sydney, 29 January 2019 - 01 February 2019, http://dx.doi.org/10.1007/978-3-030-12079-5
    Conference Papers | 2018
    Chen L; Shang S; Zhang Z; Cao X; Jensen CS; Kalnis P, 2018, 'Location-Aware Top-k Term Publish/Subscribe', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, IEEE, Paris, France, pp. 749 - 760, presented at 2018 IEEE 34th International Conference on Data Engineering (ICDE) (2018), Paris, France, 16 April 2018 - 19 April 2018, http://dx.doi.org/10.1109/ICDE.2018.00073
    Conference Papers | 2018
    Li Y; Wang G; Yuan Y; Cao X; Yuan L; Lin X, 2018, 'PrivTS: Differentially private frequent time-constrained sequential pattern mining', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 92 - 111, http://dx.doi.org/10.1007/978-3-319-91458-9_6
    Conference Papers | 2018
    Wang K; Cao X; Lin X; Zhang W; Qin L, 2018, 'Efficient computing of radius-bounded κ-cores', in Proceedings - IEEE 34th International Conference on Data Engineering, ICDE 2018, pp. 233 - 244, http://dx.doi.org/10.1109/ICDE.2018.00030
    Conference Papers | 2018
    Xu Z; Cao X; Gao X, 2018, 'Convergence analysis of gradient descent for eigenvector computation', in Lang J (ed.), IJCAI International Joint Conference on Artificial Intelligence, IJCAI, Stockholm, Sweden, pp. 2933 - 2939, presented at Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden, 13 July 2018 - 19 July 2018, http://dx.doi.org/10.24963/ijcai.2018/407
    Conference Papers | 2017
    Guo T; Cao X; Cong G; Lu J; Lin X, 2017, 'Distributed algorithms on exact Personalized PageRank', in Proceedings of the ACM SIGMOD International Conference on Management of Data, Chicago, Illinois, USA, pp. 479 - 494, presented at SIGMOD '17 Proceedings of the 2017 ACM International Conference on Management of Data, Chicago, Illinois, USA, 14 May 2017 - 19 May 2017, http://dx.doi.org/10.1145/3035918.3035920
    Conference Papers | 2017
    Huang Z; Xiao X; Cao X, 2017, 'Databases theory and applications: 28th Australasian database conference, ADC 2017 Brisbane, QLD, Australia, september 25–28, 2017 proceedings', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Brisbane, QLD, Australia, pp. IV - V, presented at 28th Australasian Database Conference, ADC 2017, Brisbane, QLD, Australia, 25 September 2017 - 28 September 2017, http://dx.doi.org/10.1007/978-3-319-68155-9
    Conference Papers | 2017
    Yuan Q; Shang J; Cao X; Zhang C; Geng X; Han J, 2017, 'Detecting multiple periods and periodic patterns in event time sequences', in International Conference on Information and Knowledge Management, Proceedings, Singapore, pp. 617 - 626, presented at CIKM '17 Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, Singapore, 06 November 2017 - 10 November 2017, http://dx.doi.org/10.1145/3132847.3133027
    Conference Papers | 2016
    McConville R; Cao X; Liu W; Miller P, 2016, 'Accelerating Large Scale Centroid-based Clustering with Locality Sensitive Hashing', in Data Engineering (ICDE), 2016 IEEE 32nd International Conference on, Institute of Electrical and Electronics Engineers (IEEE), Helsinki, Finland, pp. 649 - 660, presented at ICDE, Helsinki, Finland, 16 May 2016 - 20 May 2016, http://dx.doi.org/10.1109/icde.2016.7498278
    Conference Papers | 2015
    Chen L; Cong G; Cao X; Tan KL, 2015, 'Temporal Spatial-Keyword Top-k publish/subscribe', in Proceedings - International Conference on Data Engineering, pp. 255 - 266, http://dx.doi.org/10.1109/ICDE.2015.7113289
    Conference Papers | 2015
    Guo T; Cao X; Cong G, 2015, 'Efficient algorithms for answering the m-closest keywords query', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 405 - 418, http://dx.doi.org/10.1145/2723372.2723723
    Conference Papers | 2015
    Zeng Y; Chen X; Cao X; Qin S; Cavazza M; Xiang Y, 2015, 'Optimal route search with the coverage of users' preferences', in IJCAI International Joint Conference on Artificial Intelligence, pp. 2118 - 2124
    Conference Papers | 2013
    Cao X; Chen L; Cong G; Guan J; Phan NT; Xiao X, 2013, 'KORS: Keyword-aware optimal route search system', in Proceedings - International Conference on Data Engineering, pp. 1340 - 1343, http://dx.doi.org/10.1109/ICDE.2013.6544939
    Conference Papers | 2013
    Chen L; Cong G; Cao X, 2013, 'An efficient query indexing mechanism for filtering geo-textual data', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 749 - 760, http://dx.doi.org/10.1145/2463676.2465328
    Conference Papers | 2012
    Cao X; Chen L; Cong G; Jensen CS; Qu Q; Skovsgaard A; Wu D; Yiu ML, 2012, 'Spatial keyword querying', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 16 - 29, http://dx.doi.org/10.1007/978-3-642-34002-4_2
    Conference Papers | 2012
    Lu H; Cao X; Jensen CS, 2012, 'A foundation for efficient indoor distance-aware query processing', in Proceedings - International Conference on Data Engineering, pp. 438 - 449, http://dx.doi.org/10.1109/ICDE.2012.44
    Conference Papers | 2011
    Cao X; Cong G; Jensen CS; Ooi BC, 2011, 'Collective spatial keyword querying', in Proceedings of the ACM SIGMOD International Conference on Management of Data, pp. 373 - 384, http://dx.doi.org/10.1145/1989323.1989363
    Conference Papers | 2010
    Cao X; Cong G; Cui B; Jensen CS, 2010, 'A generalized framework of exploring category information for question retrieval in community question answer archives', in Proceedings of the 19th International Conference on World Wide Web, WWW '10, pp. 201 - 210, http://dx.doi.org/10.1145/1772690.1772712
    Conference Papers | 2009
    Cao X; Cong G; Cui B; Jensen CS; Zhang C, 2009, 'The use of categorization information in language models for question retrieval', in International Conference on Information and Knowledge Management, Proceedings, pp. 265 - 274, http://dx.doi.org/10.1145/1645953.1645989

1. Efficient and Effective Location-Aware Search on Social Networks
Australian Research Council Discovery Early Career Researcher Award (DE190100663), AUD $402,000. Sole Investigator, 2019 - 2021.

2. A Robust and Efficient Vision-based NSW Vehicle Number Plate Recognition System
NSW TechVouchers, AUD $15,000. Co-Investigator, 2018-2019.

3. High-Performance GPU Accelerated Large-Scale Data Processing
UNSW Research Infrastructure Funding 2019, AUD $100,000. Lead Investigator, 2019.

4. UNSW Academic Startup Funding. AUD $90,000, 2019-2021.

ARC DECRA Fellowship 2019.04-2022.04