Dr Xin Cao

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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 2010 to October 2014, under the supervision of Prof. Gao Cong. Prior to joining NTU, I was a scientific assistant in the Center for Data-Intensive Systems (Daisy) in Aalborg University (AAU) from September 2008 to June 2010, under the supervision of Prof. Christian S. Jensen and Prof. Gao Cong. I obtained my Master and Bachelor degrees from the College of Computer Science and Technology, Zhejiang University, China, in June 2008 and June 2006, respectively.

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,
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,

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,

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,

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,

Journal articles | 2024

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, 2024, 'Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis', IEEE Transactions on Knowledge and Data Engineering,

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,

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,

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,

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,

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,

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,

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,

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,

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,

Journal articles | 2020

Zhao S; Cao X, 2020, 'Multiple-user closest keyword-set querying in road networks', Information Sciences, 509, pp. 133 - 149,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,
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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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, ,

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

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

Preprints | 2020

Hao Y; Cao X; Fang Y; Xie X; Wang S, 2020, Inductive Link Prediction for Nodes Having Only Attribute Information, ,

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,

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, ,

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,

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, ,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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,

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
��ձ𳦳�մǳܳ��, 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

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