香港大学博士
山东大学学士

马晨昊是香港中文大学（深圳）数据科学学院助理教授，博士毕业于香港大学，本科毕业于山东大学。主要研究方向为大规模图数据的查询、挖掘与分析。已在国际数据库和数据挖掘领域的重要期刊/会议（如 SIGMOD、VLDB、TODS、VLDBJ、ICDE、WWW、AAAI 等）发表论文 30 余篇，其中一篇代表性研究成果的论文被评为SIGMOD 2020会议的四篇最佳论文之一（~4/458），并荣获2021 ACM SIGMOD Research Highlight Award；主持国家级项目 1 项，省部级项目 1 项；担任顶级会议的程序委员会委员（如 VLDB、ICDE、KDD、WWW 等）、顶级期刊（如 VLDBJ、TKDE 等）的审稿人。

1. Yixiang Fang, Wensheng Luo, Chenhao Ma. “Densest Subgraph Discovery on Large Graphs: Applications, Challenges, and Techniques”, Proceedings of the VLDB Endowment (PVLDB), 15.

2. Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Xiaolin Han. “Finding Locally Densest Subgraphs: A Convex Programming Approach”, Proceedings of the VLDB Endowment (PVLDB), 15.

3. Yangqin Jiang, Yixiang Fang, Chenhao Ma, Xin Cao, Chunshan Li, “Effective Community Search over Large Star-Schema Heterogeneous Information Networks”, Proceedings of the VLDB Endowment (PVLDB), 15, 2022.

4. Xiaolin Han, Reynold Cheng, Chenhao Ma* and Tobias Grubenmann. “DeepTEA: Effective and Efficient Online Time-dependent Trajectory Outlier Detection”, Proceedings of the VLDB Endowment (PVLDB), 15(7): 1493-1505, 2022.

5. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Xiaolin Han. “A Convex-Programming Approach for Efficient Directed Densest Subgraph Discovery”, ACM International Conference on Management of Data (SIGMOD), pages 845-859, 2022.

6. Xiaolin Han, Reynold Cheng, Tobias Grubenmann, Silviu Maniu, Chenhao Ma*, Xiaodong Li. “Leveraging Contextual Graphs for Stochastic Weight Completion in Sparse Road Networks”, SIAM International Conference on Data Mining (SDM), pages 64-72, 2022.

7. Reynold Cheng, Chenhao Ma, Xiaodong Li, Yixiang Fang, Ye Liuy, Victor Y.L. Wong, Esther Lee, Tai Hing Lam, Sai Yin Ho, Man Ping Wang, Weijie Gong, Wentao Ning, Ben Kao. “The Social Technology and Research (STAR) Lab in the University of Hong Kong”, ACM SIGMOD Record, 51, 2022.

8. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. “On Directed Densest Subgraph Discovery”, ACM Transactions on Database Systems (TODS), 46(4):1-45, 2021.

9. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. “Efficient Directed Densest Subgraph Discovery”, ACM SIGMOD Record, 50(1):33-40, 2021. (Accompanied by a technical perspective by Prof. Yufei Tao)

10. Xiaodong Li, Reynold Cheng, Kevin Chen Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao, “On Analyzing Graphs with Motif-Paths”, Proceedings of the VLDB Endowment (PVLDB), 14(6): 1111-1123, 2021.

11. Chenhao Ma, Yixiang Fang, Reynold Cheng, Laks V.S. Lakshmanan, Wenjie Zhang, Xuemin Lin. “Efficient Algorithms for Densest Subgraph Discovery on Large Directed Graphs”, ACM International Conference on Management of Data (SIGMOD), pages 1051-1066, 2020. (One of four Best of SIGMOD 2020, rate: 4/458)

12. Chenhao Ma, Reynold Cheng, Laks V.S. Lakshmanan, Tobias Grubenmann, Yixiang Fang, Xiaodong Li. “LINC: A Motif Counting Algorithm for Uncertain Graphs”, Proceedings of the VLDB Endowment (PVLDB), 13(2): 155-168, 2019.