Biography

Dr Bolong Zheng (郑渤龙) is a Professor in School of Computer Science and Technology at Huazhong University of Science and Technology (HUST), China. Before joining HUST, he was a Postdoc Researcher in Department of Computer Science at Aalborg University (AAU), Denmark, from 2017 to 2018, under the supervision of Prof Christian S. Jensen, and a Post-doctoral Research Fellow in School of Information Technology and Electrical Engineering at The University of Queensland (UQ), Australia, in 2017, under the supervision of Prof Xiaofang Zhou.

He received PhD degree in Computer Science from The University of Queensland (UQ), Australia, under the supervisions of Prof Kai Zheng and Prof Xiaofang Zhou in 2017. He obtained his Bachelor and Master degrees from Huazhong University of Science and Technology (HUST), China, in 2011 and 2013, respectively.


Selected Publications (Full Publication List) (*Corresponding author)

Refereed Journal Papers

  1. LDPGuard: Defenses against Data Poisoning Attacks to Local Differential Privacy Protocols.
    Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2024, to appear.

  2. SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply in Transportation.
    Bolong Zheng, Qi Hu, Lingfeng Ming, Jilin Hu, Lu Chen, Kai Zheng, Christian S. Jensen.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2023, 35(2): 2034-2047.

  3. 面向移动对象连续k近邻查询的双层索引结构.
    韩士元, 何清, 于自强, 童向荣, 郑渤龙.
    软件学报, 2023, 34(6): 2789-2803.

  4. Approximate Nearest Neighbor Search in High Dimensional Vector Databases: Current Research and Future Directions.
    Yao Tian, Ziyang Yue, Ruiyuan Zhang, Xi Zhao, Bolong Zheng*, Xiaofang Zhou.
    IEEE Data Engineering Bulletin, 2023, 47(3): 39-54.

  5. PM-LSH: A Fast and Accurate In-Memory Framework for High-Dimensional Approximate NN and Closest Pair Search.
    Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen.
    The VLDB Journal (VLDBJ) 2022, 31(6): 1339-1363.
    [Code]

  6. 基于深度强化学习的网约车动态路径规划.
    郑渤龙, 明岭峰, 胡琦, 方一向, 郑凯, 李国徽.
    计算机研究与发展, 2022, 59(2): 329-341.

  7. Supply-Demand Aware Deep Reinforcement Learning for Dynamic Fleet Management.
    Bolong Zheng, Lingfeng Ming, Qi Hu, Zhipeng Lv, Guanfeng Liu, Xiaofang Zhou.
    ACM Transactions on Intelligent Systems and Technology (TIST) 2022, 13(3): 37:1-37:19.

  8. Efficiently Distributed Clustering Algorithms on Star-Schema Heterogeneous Graphs.
    Lu Chen, Yunjun Gao, Xingrui Huang, Christian S. Jensen, Bolong Zheng.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022, 34(10): 4781-4796.

  9. Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks.
    Tam Thanh Nguyen, Thanh Trung Huynh, Hongzhi Yin, Vinh Van Tong, Darnbi Sakong, Bolong Zheng, Quoc Viet Hung Nguyen.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2022, 34(9): 4201-4214.
    (Extended Abstract) IEEE International Conference on Data Engineering (ICDE) 2021, Crete, 2323-2324.

  10. Wavefront based Multiple Rumor Sources Identification by Multi-Task Learning.
    Ming Dong, Bolong Zheng*, Guohui Li, Chenliang Li, Kai Zheng, Xiaofang Zhou.
    IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2022, 6(5): 1068-1078.

  11. TRUST: Triangle Counting Reloaded on GPUs.
    Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu.
    IEEE Transactions on Parallel and Distributed Systems (TPDS) 2021, 32(11): 2646-2660.

  12. A Privacy-Preserving Distributed Contextual Federated Online Learning Framework with Big Data Support in Social Recommender Systems.
    Pan Zhou, Chen Wang, Kehao Wang, Linke Guo, Shimin Gong, Bolong Zheng.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2021, 33(3): 824-838.

  13. Answering Why-Not Group Spatial Keyword Queries.
    Bolong Zheng, Kai Zheng, Christian S. Jensen, Nguyen Quoc Viet Hung, Han Su, Guohui Li, Xiaofang Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2020, 32(1): 26-39.
    (Extended Abstract) IEEE International Conference on Data Engineering (ICDE) 2019, Macau, 2155-2156.

  14. Time-Aspect-Sentiment Recommendation Models Based on Novel Similarity Measure Methods.
    Guohui Li, Qi Chen, Bolong Zheng*, Nguyen Quoc Viet Hung, Pan Zhou, Guanfeng Liu.
    ACM Transactions on Web (TWEB) 2020, 14(2): 5:1–5:26.

  15. Searching Activity Trajectories by Exemplar.
    Zhong Yang, Bolong Zheng*, Guohui Li, Nguyen Quoc Viet Hung, Guanfeng Liu, Kai Zheng.
    ACM/IMS Transactions on Data Science (TDS) 2020, 1(3): 19:1–19:18.

  16. Group based Recurrent Neural Networks for POI Recommendation.
    Guohui Li, Qi Chen, Bolong Zheng*, Hongzhi Yin, Nguyen Quoc Viet Hung, Xiaofang Zhou.
    ACM/IMS Transactions on Data Science (TDS) 2020, 1(1): 3:1–3:18.

  17. A Survey of Trajectory Distance Measures and Performance Evaluation.
    Han Su, Shuncheng Liu, Bolong Zheng, Xiaofang Zhou, Kai Zheng.
    The VLDB Journal (VLDBJ) 2020, 29(1): 3-32.

  18. Reference-based Framework for Spatio-temporal Trajectory Compression and Query Processing.
    Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2020, 32(11): 2227-2240.

  19. Strong Social Graph Based Trust-Oriented Graph Pattern Matching with Multiple Constraints.
    Guanfeng Liu, Yurong Wang, Zhixu Li, Bolong Zheng, Kai Zheng.
    IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2020, 4(5): 675-685.

  20. Efficient User Guidance for Validating Participatory Sensing Data.
    Phan Thanh Cong, Thanh Tam Nguyen, Hongzhi Yin, Bolong Zheng, Nguyen Quoc Viet Hung, Bela Stantic.
    ACM Transactions on Intelligent Systems and Technology (TIST) 2019, 10(4): 37:1–37:30.

  21. A Context-Aware User-Item Representation Learning for Item Recommendation.
    Libing Wu, Cong Quan, Chenliang Li, Qian Wang, Bolong Zheng, Xiangyang Luo.
    ACM Transactions on Information Systems (TOIS) 2019, 37(2): 22:1-22:29.

  22. Efficient Clue-based Route Search on Road Networks.
    Bolong Zheng, Han Su, Wen Hua, Kai Zheng, Xiaofang Zhou, Guohui Li.
    IEEE Transactions on Knowledge and Data Engineering (TKDE) 2017, 29(9): 1846-1859.
    (Extended Abstract) IEEE International Conference on Data Engineering (ICDE) 2018, Paris, 1783-1784.

Refereed Conference Papers

  1. DecLog: Decentralized Logging in Non-Volatile Memory for Time Series Database Systems.
    Bolong Zheng, Yongyong Gao, Jingyi Wan, Lingsen Yan, Long Hu, Bo Liu, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen.
    The Proceedings of the VLDB Endowment (PVLDB) 2024, Guangzhou, 17(1): 1-14.

  2. Eraser: Eliminating Performance Regression on Learned Query Optimizer.
    Lianggui Weng, Rong Zhu, Di Wu, Bolin Ding, Bolong Zheng*, Jingren Zhou.
    The Proceedings of the VLDB Endowment (PVLDB) 2024, Guangzhou, to appear.

  3. PilotScope: Steering Databases with Machine Learning Drivers.
    Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng*, Jingren Zhou.
    The Proceedings of the VLDB Endowment (PVLDB) 2024, Guangzhou, to appear.

  4. A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams.
    Yao Tian, Tingyun Yan, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou.
    Proceedings of the ACM on Management of Data (SIGMOD) 2024, Santiago, 1(4): 264:1-264:26.

  5. RHB-Net: A Relation-aware Historical Bridging Network for Text2SQL Auto-Completion.
    Bolong Zheng, Lei Bi, Ruijie Xi, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen.
    ACM International Conference on Information Retrieval (SIGIR) 2023, Taipei, 1458-1467.

  6. FARGO: Fast Maximum Inner Product Search via Global Multi-Probing.
    Xi Zhao, Bolong Zheng*, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen.
    The Proceedings of the VLDB Endowment (PVLDB) 2023, Vancouver, 16(5): 1100-1112.
    [Code]

  7. Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks.
    Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian S. Jensen.
    IEEE International Conference on Data Engineering (ICDE) 2023, Anaheim, 1671-1683.

  8. Learned Probing Cardinality Estimation for High-Dimensional Approximate NN Search.
    Bolong Zheng, Ziyang Yue, Qi Hu, Xiaomeng Yi, Xiaofan Luan, Charles Xie, Xiaofang Zhou, Christian S. Jensen.
    IEEE International Conference on Data Engineering (ICDE) 2023, Anaheim, 3200-3212.

  9. TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database.
    Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou.
    Proceedings of the ACM on Management of Data (SIGMOD) 2023, Seattle , 1(1): 51:1-51:26.

  10. Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces.
    Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou.
    The Proceedings of the VLDB Endowment (PVLDB) 2023, Vancouver, 16(8): 1979-1991.
    [Code]

  11. Double Hierarchical Labeling Shortest Distance Querying in Time-dependent Road Networks.
    Tangpeng Dan, Xiao Pan, Bolong Zheng, Xiaofeng Meng.
    IEEE International Conference on Data Engineering (ICDE) 2023, Anaheim, 2068-2080.

  12. Joint Document-Level Event Extraction via Token-Token Bidirectional Event Completed Graph.
    Qizhi Wan, Changxuan Wan, Keli Xiao, Dexi Liu, Chenliang Li, Bolong Zheng, Xiping Liu and Rong Hu.
    The 61st Annual Meeting of the Association for Computational Linguistics (ACL) 2023, Toronto, 10481-10492.

  13. Workload-Aware Shortest Path Distance Querying in Road Networks.
    Bolong Zheng, Jingyi Wan, Yongyong Gao, Yong Ma, Kai Huang, Xiaofang Zhou, Christian S. Jensen.
    IEEE International Conference on Data Engineering (ICDE) 2022, Kuala Lumpur, 2373-2385.

  14. minIL: A Simple and Small Index for String Similarity Search with Edit Distance.
    Zhong Yang, Bolong Zheng*, Guohui Li, Xianzhi Wang, Xiaofang Zhou.
    IEEE International Conference on Data Engineering (ICDE) 2022, Kuala Lumpur, 565-577.
    [Code]

  15. SpeakNav: Voice-based Route Description Language Understanding for Template Driven Path Search.
    Bolong Zheng, Lei Bi, Juan Cao, Hua Chai, Jun Fang, Lu Chen, Yunjun Gao, Xiaofang Zhou, Christian S. Jensen.
    The Proceedings of the VLDB Endowment (PVLDB) 2021, Copenhagen, 14(12): 3056-3068.

  16. REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries.
    Bolong Zheng, Lianggui Weng, Xi Zhao, Kai Zeng, Xiaofang Zhou, Christian S. Jensen.
    IEEE International Conference on Data Engineering (ICDE) 2021, Crete, 708-719.

  17. HASTE: A Distributed System for Hybrid and Adaptive Processing on Streaming Spatial-Textual Data.
    Zhong Yang, Bolong Zheng*, Chengdong Tong, Lianggui Weng, Chenliang Li, Guohui Li.
    ACM International Conference on Information and Knowledge Management (CIKM) 2021, Gold Coast, 2363-2372.

  18. PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search.
    Bolong Zheng, Xi Zhao, Lianggui Weng, Nguyen Quoc Viet Hung, Hang Liu, Christian S. Jensen.
    The Proceedings of the VLDB Endowment (PVLDB) 2020, Tokyo, 13(5): 643-655.
    (One of the Best Papers of VLDB 2020)
    [Code]

  19. Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing.
    Bolong Zheng, Chenze Huang, Christian S. Jensen, Lu Chen, Nguyen Quoc Viet Hung, Guanfeng Liu, Guohui Li, Kai Zheng.
    IEEE International Conference on Data Engineering (ICDE) 2020, Dallas, 973-984.

  20. Adaptive Top-k Overlap Set Similarity Joins.
    Zhong Yang, Bolong Zheng*, Guohui Li, Xi Zhao, Xiaofang Zhou, Christian S. Jensen.
    IEEE International Conference on Data Engineering (ICDE) 2020, Dallas, 1081-1092.

  21. Efficient and Incremental Clustering Algorithms on Star-Schema Heterogeneous Graphs.
    Lu Chen, Yunjun Gao, Yuanliang Zhang, Christian S. Jensen, Bolong Zheng.
    IEEE International Conference on Data Engineering (ICDE) 2019, Macau, 256-267.
    (One of the Best Papers of ICDE 2019)

  22. Multiple Rumor Source Detection with Graph Convolutional Networks.
    Ming Dong, Bolong Zheng*, Nguyen Quoc Viet Hung, Han Su, Guohui Li.
    ACM International Conference on Information and Knowledge Management (CIKM) 2019, Beijing, 569-578.

  23. From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
    Thanh Tam Nguyen, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Nguyen Quoc Viet Hung, Bela Stantic.
    The Proceedings of the VLDB Endowment (PVLDB) 2019, Los Angeles, 12(9): 1016-1029.

  24. User Guidance for Efficient Fact Checking.
    Thanh Tam Nguyen, Hongzhi Yin, Matthias Weidlich, Bolong Zheng, Nguyen Quoc Viet Hung, Bela Stantic.
    The Proceedings of the VLDB Endowment (PVLDB) 2019, Los Angeles, 12(8): 850-863.

  25. Personalized Route Description Based On Historical Trajectories.
    Han Su, Guanglin Cong, Wei Chen, Bolong Zheng, Kai Zheng.
    ACM International Conference on Information and Knowledge Management (CIKM) 2019, Beijing, 79-88.

  26. DMFP: A Dynamic Multi-faceted Fine-grained Preference Model for Recommendation.
    Huizhao Wang, Guanfeng Liu, Yan Zhao, Bolong Zheng, Pengpeng Zhao, Kai Zheng.
    IEEE International Conference on Data Mining (ICDM) 2019, Beijing, 608-617.

  27. REST: A Reference-based Framework for Spatio-temporal Trajectory Compression.
    Yan Zhao, Shuo Shang, Yu Wang, Bolong Zheng, Nguyen Quoc Viet Hung, Kai Zheng.
    ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD) 2018, London, 2797-2806.

  28. What-if Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
    Nguyen Quoc Viet Hung, Kai Zheng, Matthias Weidlich, Bolong Zheng, Hongzhi Yin, Nguyen Thanh Tam, Bela Stantic.
    IEEE International Conference on Data Engineering (ICDE) 2018, Paris, 89-100.

  29. ProbeSim: Scalable Single-Source and Top-k SimRank Computations on Dynamic Graphs.
    Yu Liu, Bolong Zheng, Xiaodong He, Zhewei Wei, Xiaokui Xiao, Kai Zheng, Jiaheng Lu.
    The Proceedings of the VLDB Endowment (PVLDB) 2017, Rio de Janeiro, 11(1): 14-26.

  30. PaRE: A System for Personalized Route Guidance.
    Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Tieke He, Cyrus Shahabi.
    International World Wide Web Conference (WWW) 2017, Perth, 637-646.

  31. Keyword-Aware Continuous kNN Query on Road Networks.
    Bolong Zheng, Kai Zheng, Xiaokui Xiao, Han Su, Hongzhi Yin, Xiaofang Zhou, Guohui Li.
    IEEE International Conference on Data Engineering (ICDE) 2016, Helsinki, 871-882.

  32. Approximate Keyword Search in Semantic Trajectory Database.
    Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Shazia Sadiq, Xiaofang Zhou.
    IEEE International Conference on Data Engineering (ICDE) 2015, Seoul, 975-986.

  33. Interactive Top-k Spatial Keyword Queries.
    Kai Zheng, Han Su, Bolong Zheng, Shuo Shang, Jiajie Xu, Jiajun Liu, Xiaofang Zhou.
    IEEE International Conference on Data Engineering (ICDE) 2015, Seoul, 423-434.

  34. SharkDB: An In-memory Column-oriented Trajectory Storage.
    Haozhou Wang, Kai Zheng, Jiajie Xu, Bolong Zheng, Xiaofang Zhou, Shazia Sadiq.
    ACM International Conference on Information and Knowledge Management (CIKM) 2014, Shanghai, 1409-1418.

Refereed Demo and Short Papers

  1. Origin-Destination Traffic Prediction based on Hybrid Spatio-Temporal Network.
    Tingyang Chen, Lugang Nie, Jiwei Pan, Lai Tu, Bolong Zheng, Xiang Bai.
    IEEE International Conference on Data Mining (ICDM) 2022, Orlando, 879-884. (Short)

  2. SpeakNav: A Voice-based Navigation System via Route Description Language Understanding.
    Lei Bi, Juan Cao, Guohui Li, Nguyen Quoc Viet Hung, Christian S. Jensen, Bolong Zheng*.
    IEEE International Conference on Data Engineering (ICDE) 2021, Crete, 2669-2672. (Demo)

  3. SOUP: A Fleet Management System for Passenger Demand Prediction and Competitive Taxi Supply.
    Qi Hu, Lingfeng Ming, Ruijie Xi, Lu Chen, Christian S. Jensen, Bolong Zheng*.
    IEEE International Conference on Data Engineering (ICDE) 2021, Crete, 2657-2660. (Demo)

  4. An Effective Fleet Management Strategy for Collaborative Spatial-Temporal Searching (GIS Cup).
    Lingfeng Ming, Qi Hu, Ming Dong, Bolong Zheng*.
    ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2020, Seattle, 651-654.
    (Champion of 9th ACM SIGSPATIAL GIS Cup 2020)
    [Code]

  5. FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.
    Thanh Tam Nguyen, Matthias Weidlich, Hongzhi Yin, Bolong Zheng, Quang Huy Nguyen and Nguyen Quoc Viet Hung.
    ACM SIGIR International Conference on Research and Development in Information Retrieval (SIGIR) 2020, Xi’an, 2165-2168. (Demo)

  6. An Effective Partitioning Approach for Competitive Spatial-Temporal Searching (GIS Cup).
    Qi Hu, Lingfeng Ming, Chengdong Tong, Bolong Zheng*.
    ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL) 2019, Chicago, 620-623.
    (Honorable Mention of 8th ACM SIGSPATIAL GIS Cup 2019)
    [Code]

  7. PerRD: A System for Personalized Route Description.
    Han Su, Guanglin Cong, Wei Chen, Qinyuan Su, Bolong Zheng, Kai Zheng.
    IEEE International Conference on Data Engineering (ICDE) 2019, Macau, 1658-1661. (Short)

  8. PerNav: A Route Summarization Framework for Personalized Navigation.
    Yaguang Li, Han Su, Ugur Demiryurek, Bolong Zheng, Kai Zeng, Cyrus Shahabi.
    ACM International Conference on Management of Data (SIGMOD) 2016, San Francisco, 2125-2128. (Demo)


Projects and Grants

  • Principal Investigator
    • 2020.01 - 2022.12, “Intelligent Route Search and Navigation on Road Networks”, NSFC Grant (No.61902134, Youth Program)
    • 2021.01 - 2021.04, “Data Driven Hub Labeling Shortest Path Algorithm on Road Networks”, NSFC Grant (No.62011530437, NSFC-ERC Talent Program)
    • 2020.03 - 2022.03, “Towards Complex Ultra High Dimensional Data Query Optimization Key Techniques”, Hubei Natural Science Foundation (No.2020CFB871, General Program)
    • 2019.01 - 2021.12, “Fast and Accurate Ultra High Dimensional Data Management”, the Fundamental Research Funds for the Central Universities and the Research Funds of Huazhong University of Science and Technology (No. 2019kfyXKJC021)
    • 2018.04 - 2021.04, HUST University Starup Grant (No.2019kfyXJJS091)
  • Primary Participant
    • 2019.07 - 2022.06, “Software Defined High Efficient Routing Technologies”, National Key R&D Program of China, Sub Program (No. 2018YFB1800103)
    • 2019.01 - 2022.12, “Deep Learning based Zero/Few-shot Document Filtering”, NSFC Grant (No.61872278, General Program)


Honors and Awards

  • ACM Wuhan Rising Star Award, 2021.
  • National Grand Prize, 17th Challenging Cup, 2021.
  • Best Paper Award, SpatialDI 2021.
  • One of the Best Papers, VLDB 2020.
  • ACM SIGSPATIAL China Chapter Rising Star Award, 2020.
  • Champion, 9th ACM SIGSPATIAL Cup 2020.
  • One of the Best Papers, IEEE ICDE 2019.
  • Honorable Mention, 8th ACM SIGSPATIAL Cup 2019.


Teaching Experience

  • Courses at Huazhong University of Science and Technology
    • Lecturer, Data Structure, Fall 2018, Fall 2019, Spring 2021, Spring 2022.
    • Lecturer, Big Data Processing, Fall 2021, Spring 2022.
    • Lecturer, Academic Writing, Spring 2022.
    • Lecturer, Mobile Spatial Temporal Data Management-Theory and Techniques, Fall 2018, Fall 2020, Fall 2021.
  • Courses at Aalborg University
    • Lecturer, Databases System (DAT6, SW6), Spring 2018.
    • Supervisor, Project of Software (SW6), Spring 2018.
  • Courses at The University of Queensland
    • Teaching Assistant, INFS3204/7204 Service-Oriented Architecture (SOA), 2015 Semester 2.
    • Teaching Assistant, INFS4205/7205 Spatial and Multimedia Databases, 2015 Semester 1.


Professional Services

  • Organising Committee
    • NDBC: 2020 (Demo Co-Chair), 2022 (Publicity Co-Chair).
    • ACM SIGSPATIAL: 2021 (Registration Co-Chair).
    • SpatialDI: 2022 (Publicity Co-Chair), 2023 (Publication Co-Chair).
    • IEEE BigComp: 2023 (Publicity Co-Chair).
    • HOVE: 2023 (PC Co-chair).
  • Program Committee Member
    • PVLDB: 2020 (Session Chair), 2022, 2023.
    • ICDE: 2023 (Industry and Applications Track).
    • SIGIR: 2020 (Demo track), 2021 (Demo track), 2022, 2023.
    • DASFAA: 2017 (Session Chair), 2018, 2019, 2020, 2021, 2022.
    • CIKM: 2017 (Demo track), 2020 (Demo track), 2021 (Senior PC), 2022 (Senior PC), 2023 (Senior PC).
    • AAAI: 2021, 2023.
    • IJCAI: 2021, 2022.
    • SIGSPATIAL: 2022, 2023.
    • IEEE BigData: 2019, 2020, 2022.
    • IEEE MDM: 2018 (Industry track, Session Chair), 2019 (Demo track), 2020 (Demo track), 2021, 2022.
    • APWeb-WAIM: 2017 (Demo track), 2019 (Demo track, Session Chair), 2020, 2021, 2022.
    • ACM TURC (SIGMOD CHINA): 2020.
    • SpatialDI: 2020, 2021 (Session Chair).
  • Guest Editor
    • Special Issue on Trends and Prospects in Data Mining Techniques for Big Graph/Spatial Data. Applied Sciences.
  • Invited Journal Reviewer
    • IEEE Transactions on Knowledge and Data Engineering (TKDE)
    • International Journal on Very Large Data Bases (VLDBJ)
    • ACM Transactions on Information Systems (TOIS)
    • ACM Transactions on Intelligent Systems and Technology (ACM TIST)
    • ACM/IMS Transactions on Data Science (ACM TDS)
    • World Wide Web: Internet and Web Information Systems (WWWJ)
    • Knowledge and Information Systems (KAIS)
    • Geoinformatica
    • Neurocomputing
    • Multimedia Tools and Applications
    • Journal of Computer Science and Technology (JCST)