黄凯

博士毕业于复旦大学，获理学博士学位

本科毕业于华东师范大学，获学士学位

2025.06  -   至今:      华东师范大学，教授，紫江优秀青年学者

黄凯博士现担任华东师范大学数据科学与工程学院教授，紫江优秀青年学者。入选了国家级青年人才计划、ACM SIGMOD 中国新星，以及上海市领军人才计划。在加入华东师大之前，黄凯博士先后在新加坡、香港、澳门等地长期学习和工作。

图数据管理和分析

向量数据管理和分析

数据科学

隐私计算

数据管理与分析前沿，华东师范大学，研究生秋季课程，2025

图数据管理与分析，国家自然科学基金，2025-2028. 

• * denotes the corresponding author

# 2025

35.  Qingqing Ye, Liantong Yu, Kai Huang,  Xiaokui Xiao, Weiran Liu, Haibo Hu.  Randomized Response to Randomized Index: Answering Subset Counting Queries with Local Differential Privacy. 46th IEEE Symposium on Security and Privacy  (S&P’25) ,  San Francisco, CA, USA, 2025. 

34.  He Xi,  Kai Huang*, Qingqing Ye,  Haibo Hu.  Data Poisoning Attacks to Local Differential Privacy Protocols for Graphs. IEEE 41st International Conference on Data Engineering  (ICDE’25) ,   Hong Kong SAR, China, 2025.  

33. Yulian MAO, Qingqing Ye, Rong Du, Qi Wang, Kai Huang, Haibo Hu. Multi-class Item Mining under Local Differential Privacy. IEEE 41st International Conference on Data Engineering  (ICDE’25) ,   Hong Kong SAR, China, 2025.  

# 2024

32.  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. 

31.  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. 

30. Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Kai Huang.  Top-k Discovery under Local Differential Privacy: An Adaptive Sampling Approach. IEEE Transactions on Dependable and Secure Computing (TDSC’24), accepted to appear, 2024.

29. 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. 

28. 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. 

27.  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. 

26. Yao Tian, Tingyun Yan, 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.

25. Leixia Wang, Qingqing Ye, Haibo Hu, Xiaofeng Meng, Kai Huang. LDP-Purifier: Defending against Poisoning Attacks in Local Differential Privacy. International Conference on Database Systems for Advanced Applications (DASFAA’24), Gifu, Japan, 2024.

# 2023

24. 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. [Code]

23. 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). [Video , Code]

22. 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. [Code]

21. 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. [Code]

20. 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.

19. 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.

18. 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.

17. 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), accepted to appear, 2023. 

16.  Xinyue Sun, Qingqing Ye, Haibo Hu, Yuandong Wang, Kai Huang, Tianyu Wo, and Jie Xu. Synthesizing Realistic Trajectory Data with Differential Privacy. IEEE Intelligent Transportation Systems Transactions (TITS'23), 2023.

# 2022

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). [Video]

14. 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.

13. 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.

# 2021

12. Kai Huang, Huey Eng Chua, Sourav S Bhowmick, Byron Choi, Shuigeng Zhou. MIDAS: Towards Efficient and 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. [Code]

11. 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.

# 2020 and Early 

10. 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). [Video]

9. 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. [Code]

8. 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). [Video]

7. Zekun Ye, Kai Huang, Jihong Guan, Shuigeng Zhou. Gaussian Weighting Reversion Strategy for Accurate On-line Portfolio Selection. IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI’17), Boston, MA, USA, 2017.

6. Zhanzhan Cheng, Kai Huang (Co-first Author), Shuigeng Zhou, Hui Liu, Yang Wang and Jihong Guan. Selecting High-Quality Negative Samples for Effectively Predicting Protein-RNA Interactions. BMC Systems Biology, 11(2):1–11, 2017.

5. Yifu Huang, Kai Huang, Yang Wang, Hao Zhang, Jihong Guan, Shuigeng Zhou. Exploiting Twitter Moods to Boost Financial Trend Prediction Based on Deep Network Models. 2016 International Conference on Intelligent Computing (ICIC’16), Lanzhou, China, 2016.

4. Yifu Huang, Shuigeng Zhou, Kai Huang, Jihong Guan. Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models. The 20th International Conference on Database Systems for Advanced Applications (DASFAA’15), Hanoi, Vietnam, 2015.

3. Qiaozhen Guo, Wei Huang, Kai Huang, Xiao Liu. Information Credibility: A Probabilistic Graphical Model for Identifying Credible Influenza Posts on Social Media. 2015 International Conference for Smart Health (ICSH’15), Phoenix, Arizona, USA, 2015.

2. Yu Wang, Weiting Chen, Kai Huang, Qiufang Gu. Classification of neonatal amplitude-integrated EEG using random forest model with combined feature. 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM‘13), Shanghai, China, 2013.

1. Yang Liu, Weiting Chen, Su Yang, Kai Huang. Domain adaptation to automatic classification of neonatal amplitude-integrated EEG. 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA‘12), Kochi, India, 2012.

国家级青年人才

上海市领军人才

ACM SIGMOD 中国新星