Academic Qualification
Ph.D. in Computer Science, Fudan University, 2020
B.S. in Software Engineering, East China Normal Univeristy, 2014
Teaching Area
Data Structure
Database System
Data Mining
Web Technologies
Research Area
Database and Data Management
Graph Database and Algorithms
Data Analytics
Data Science
Professional Services
Invited Reviewers: ICDE 2024, ICDM 2024, IJCAI 2024, PAKDD 2024, ICDE 2023 (Industry), ICDM 2023, BDMS@DASFAA 2023, PAKDD 2023, PAKDD 2022, PAKDD 2021, Data Science and Engineering 2020
External Reviewers: SIGMOD 2023, CIKM 2022, TKDE 2021, DASFAA 2021, AAAI 2016, AAAI 2015
PC Chair: The Asian Young Researchers Conference on Computational and Omics Biology, Shanghai, 2016
Working Experience
May.2021 – Aug.2023 Postdoc at Department of Computer Science and Engineering, Hong Kong University of Science and Technology. Hong Kong, SAR.
Nov.2020 – May.2021 Postdoc at Dept. of Electronic and Information Engineering, Hong Kong Polytechnic University. Hong Kong, SAR.
Jul.2017 – Jan.2019 Research Assistant at Dept. of Electronic and Information Engineering, Hong Kong Polytechnic University. Hong Kong, SAR.
Mar.2016 – Dec.2016 Research Assistant at School of Computer Science and Engi- neering, Nanyang Technological University. Singapore.
Academic Publication (selected)
All publications listed below are in CCF-A. Please refer to https://sites.google.com/view/kai-huang for more details.
1. Kai Huang, Gaoya Ouyang, Qingqing Ye, Haibo Hu, Bolong Zheng, Xi Zhao, Ruiyuan Zhang, Xiaofang Zhou. LDPGuard: Defenses against Data Poisoning Attacks to Local Differential Privacy Protocols. IEEE Transactions on Knowledge and Data Engineering (TKDE’24), 2024. [CCF A, CORE A*]
2. Xinjie Zhou, Kai Huang, Lei Li, Mengxuan Zhang, Xiaofang Zhou. I/O-Efficient Multi-Criteria Shortest Paths Query Processing on Large Graphs. IEEE Transactions on Knowledge and Data Engineering (TKDE’24), 2024.
3. Kai Huang, Yunqi Li, Qingqing Ye, Yao Tian, Xi Zhao, Yue Cui, Haibo Hu, Xiaofang Zhou. FRESH: Towards Efficient Graph Queries in an Outsourced Graph. IEEE 40th International Conference on Data Engineering (ICDE’24) , Utrecht, Netherlands, 2024. [CCF A, CORE A*]
4. Xi Zhao, Zhonghan Chen, Kai Huang, Ruiyuan Zhang, Bolong Zheng, Xiaofang Zhou. Efficient Approximate Maximum Inner Product Search over Sparse Vectors. IEEE 40th International Conference on Data Engineering (ICDE’24) , Utrecht, Netherlands, 2024. [CCF A, CORE A*]
5. Yulian Mao, Qingqing Ye, Haibo Hu, Qi Wang, Kai Huang. PrivShape: Extracting Shapes in Time Series underUser-Level Local Differential Privacy. IEEE 40th International Conference on Data Engineering (ICDE’24) , Utrecht, Netherlands, 2024. [CCF A, CORE A*]
6. Yao Tian, Yan Tingyun, Ruiyuan Zhang, Kai Huang, Bolong Zheng, Xiaofang Zhou. A Learned Cuckoo Filter for Approximate Membership Queries over Variable-sized Sliding Windows on Data Streams. Proceedings of the 2024 International Conference on Management of Data (SIGMOD’24), Santiago, Chile, 2024. [CCF A, CORE A*]
7. Kai Huang, Haibo Hu, Qingqing Ye, Kai Tian, Bolong Zheng, Xiaofang Zhou. TED: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. Proceedings of the 2023 International Conference on Management of Data (SIGMOD’23), Seattle, WA, USA, 2023. [CCF A, CORE A*]
8. Kai Huang, Houdong LIANG, Chongchong Yao, Xi Zhao, Yue Cui, Yao Tian, Ruiyuan Zhang, Xiaofang Zhou. VisualNeo: Bridging the Gap between Visual Query Interfaces and Graph Query Engines. Proceedings the 49th International Conference on Very Large Data Bases (PVLDB’23), Vancouver, Canada, 2023 (demo). [CCF A, CORE A*]
9. Xi Zhao, Yao Tian, Kai Huang, Bolong Zheng, Xiaofang Zhou. Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces. Proceedings the 49th International Conference on Very Large Data Bases (PVLDB’23), Vancouver, Canada, 2023. [CCF A, CORE A*]
10. Kai Huang, Yue Cui, Qingqing Ye, Yan Zhao, Xi Zhao, Yao Tian, Kai Zheng, Haibo Hu, Xiaofang Zhou. TED+: Towards Discovering Top-k Edge-Diversified Patterns in a Graph Database. IEEE Transactions on Knowledge and Data Engineering (TKDE’23), 2023. [CCF A, CORE A*]
11. Bolong Zheng, Yong Ma, Jingyi Wan, Yongyong Gao, Kai Huang, Xiaofang Zhou, Christian Jensen. Reinforcement Learning based Tree Decomposition for Distance Querying in Road Networks. IEEE 39th International Conference on Data Engineering (ICDE’23), Anaheim, California, USA, 2023. [CCF A, CORE A*]
12. Yao Tian, Tingyun Yan, Xi Zhao, Kai Huang, Xiaofang Zhou. A Learned Index for Exact Similarity Search in Metric Spaces. IEEE Transactions on Knowledge and Data Engineering (TKDE’23), 2023. [CCF A, CORE A*]
13. Qingqing Ye, Haibo Hu, Kai Huang, Man Ho Au, Qiao Xue. Stateful Switch: Optimized Time Series Release with Local Differential Privacy. 2023 IEEE International Conference on Computer Communications (INFOCOM’23), New York area, USA, 2023. [CCF A, CORE A*]
14. Qiuyu Qian, Qingqing Ye, Haibo Hu, Kai Huang, Tom Tak-Lam Chan, Jin Li. Collaborative Sampling for Partial Multi-dimensional Value Collection under Local Differential Privacy. IEEE Transactions on Information Forensics and Security (TIFS’23), 2023. [CCF A, CORE A*]
15. Kai Huang, Qingqing Ye, Haibo Hu, Xiaofang Zhou. VINCENT: Towards Efficient Exploratory Subgraph Search in Graph Databases. Proceedings the 48th International Conference on Very Large Data Bases (PVLDB’22), Sydney, Australia, 2022 (demo). [CCF A, CORE A*]
16. Bolong Zheng, Jingyi Wan, Yongyong Gao, Yong Ma, Kai Huang, Xiaofang Zhou, Christian S.Jensen. Workload-Aware Shortest Path Distance Querying in Road Networks. IEEE 38th International Conference on Data Engineering (ICDE’22), Kuala Lumpur, Malaysia, 2022. [CCF A, CORE A*]
17. Kai Huang, Haibo Hu, Shuigeng Zhou, Jihong Guan, Qingqing Ye, Xiaofang Zhou. Privacy and Efficiency Guaranteed Social Subgraph Matching in Cloud. The International Journal on Very Large Data Bases (The VLDB Journal’22), 31:581–602, 2022. [CCF A, CORE A*]
18. Kai Huang, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou. MIDAS: Towards Effective Maintenance of Canned Patterns in Visual Graph Query Interfaces. Proceedings of the 2021 International Conference on Management of Data (SIGMOD’21), Xi’an, China, 2021. [CCF A, CORE A*]
19. Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi. PrivKVM*: Revisiting Key-Value Statistics Estimation with Local Differential Privacy. IEEE Transactions on Dependable and Secure Computing (TDSC'21), 2021. [CCF A, CORE A*]
20. Sourav S Bhowmick, Kai Huang, Huey Eng Chua, Zifeng Yuan, Byron Choi, Shuigeng Zhou. AURORA: Data-driven Construction of Visual Graph Query Interfaces for Graph Databases. Proceedings of the 2020 International Conference on Management of Data (SIGMOD’20), Portland, Oregon, USA, 2020 (demo). [CCF A, CORE A*]
21. Kai Huang, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou. CATAPULT: Data-driven Selection of Canned Patterns for Efficient Visual Graph Query Formulation. Proceedings of the 2019 International Conference on Management of Data (SIGMOD’19), Amsterdam, The Netherlands, 2019. [CCF A, CORE A*]
22. Kai Huang, Sourav S Bhowmick, Shuigeng Zhou, Byron Choi. PICASSO: Exploratory Search of Connected Subgraph Substructures in Graph Databases. Proceedings the 43rd International Conference on Very Large Data Bases (PVLDB’17), Munich, Germany, 2017 (demo). [CCF A, CORE A*]
Patents
2018 Privacy and Efficiency Guaranteed Subgraph Query Processing Algorithm. Shuigeng Zhou, Kai Huang, Haibo Hu, Jihong Guan.
Professional Certification and Awards
2019 ACM SIGMOD Travel Award, ACM
2022-2023 STEM Talent Fellow, Hong Kong ITF
2022/2023 Hong Kong Postdoctoral Fellowship Scheme, Hong Kong RGC, HK$406,550/yr X 3 yrs [relinquished]
Student Awards
2022 The Best Min-conference Paper Award, HKUST, HK$ 50,000
Professional Society Membership
Member, ACM
