Select Publications

Journal articles

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

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

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

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

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

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

Mao Y; Hao Y; Liu W; Lin X; Cao X, 2023, 'Class-Imbalanced-Aware Distantly Supervised Named Entity Recognition', IEEE Transactions on Neural Networks and Learning Systems, http://dx.doi.org/10.1109/TNNLS.2023.3252084

Hao Y; Mao Y; Cao X; Fang Y; Lin X; Mao H, 2023, 'Dynamic Graph Embedding via Meta-Learning', IEEE Transactions on Knowledge and Data Engineering, http://dx.doi.org/10.1109/TKDE.2023.3329238

Shin YM; Tran C; Shin WY; Cao X, 2023, 'Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes', IEEE Transactions on Emerging Topics in Computing, http://dx.doi.org/10.1109/TETC.2023.3292240

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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


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