Hongchao Qin

My name is Hongchao Qin. I’m an Assistant Professor with Beijing Institute of Technology, China. I obtained the received the B.S., M.S., and Ph.D. degrees from Northeastern University in 2013, 2015, and 2020. From 2020 to 2022, I worked as a PosDoc at Beijing Institute of Technology; from Apr. 2016 to Jan. 2017, I worked as a research assistant at Singapore Management University, under the supervision of Prof. Feida Zhu. I have published more than twenty papers in top-tier journals/conferences such as SIGMOD, VLDB, ICDE, IEEE TKDE and so on.

Research Interests

Students

Publications

  1. Hongchao Qin, Sen Gao, Rong-Hua Li, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful Star Motif Counting: Concepts, Algorithms and Applications. IEEE Transactions on Knowledge and Data Engineering, 2024.
  2. Yalong Zhang, Rong-Hua Li, Qi Zhang, Hongchao Qin, Lu Qin, Guoren Wang. Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs. Proceedings of the VLDB Endowment, 17(11): 2722-2734, 2024.
  3. Yalong Zhang, Rong-Hua Li, Qi Zhang, Hongchao Qin, Guoren Wang. Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs. Proceedings of the VLDB Endowment, 17(11): 2933-2945, 2024.
  4. Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin. Mining quasi-periodic communities in temporal network. ICDE, 2476-2488, 2024.
  5. Jiujian Chen, Kai Wang, Rong-Hua Li, Hongchao Qin, Xuemin Lin, Guoren Wang. Maximal Biclique Enumeration: A Prefix Tree Based Approach. ICDE, 2544-2556, 2024.
  6. Yuchen Meng, Rong-Hua Li, Hongchao Qin, Xiang Wu, Huanzhong Duan, Yanxiong Lu, Guoren Wang. Encoding Group Interests With Persistent Homology for Personalized Search. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024.
  7. Xiang Wu, Hongchao Qin, Rong-Hua Li, Yuchen Meng, Huanzhong Duan, Yanxiong Lu, Yujing Gao, Fusheng Jin, Guoren Wang. Effective Personalized Search with Heterogeneous Graph based Hawkes Process. IEEE Transactions on Big Data, 2024.
  8. Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia. QTCS: Efficient Query-Centered Temporal Community Search. Proceedings of the VLDB Endowment, 17(6): 1187-1199, 2024.
  9. Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He. Parallel Colorful h-Star Core Maintenance in Dynamic Graphs. Proceedings of the VLDB Endowment, 16(10): 2538-2550, 2023.
  10. Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang. Neighborhood skyline on graphs: Concepts, algorithms and applications. ICDE, 585-598, 2023.
  11. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai. Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. ICDE, 245-257, 2023.
  12. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang. Efficient personalized pagerank computation: The power of variance-reduced monte carlo approaches. SIGMOD, 1(2): 1-26, 2023.
  13. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang. Efficient biclique counting in large bipartite graphs. SIGMOD, 1(1): 1-26, 2023.
  14. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang. Efficient resistance distance computation: The power of landmark-based approaches. SIGMOD, 1(1): 1-27, 2023.
  15. Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong. Temporal graph cube. IEEE Transactions on Knowledge and Data Engineering, 35(12): 13015-13030, 2023.
  16. Zebin Ren, Hongchao Qin, Rong-Hua Li, Yongheng Dai, Guoren Wang, Yanhui Li. Mining Periodic k-Clique from Real-World Sparse Temporal Networks. APWeb/WAIM, 461-476, 2022.
  17. Hongchao Qin, Rong-Hua Li, Ye Yuan, Yongheng Dai, Guoren Wang. Densest periodic subgraph mining on large temporal graphs. IEEE Transactions on Knowledge and Data Engineering, 35(11): 11259-11273, 2023.
  18. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Lu Qin, Zhiwei Zhang. Mining Bursting Core in Large Temporal Graph. Proceedings of the VLDB Endowment, 15(13): 3911-3923, 2022.
  19. Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang. Scaling up maximal k-plex enumeration. CIKM, 345-354, 2022.
  20. Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful h-star core decomposition. ICDE, 2588-2601, 2022.
  21. Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang. Filtration-Enhanced Graph Transformation. IJCAI, 1987-1993, 2022.
  22. Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan. Stable Subgraph Isomorphism Search in Temporal Networks. IEEE Transactions on Knowledge and Data Engineering, 35(6): 6405-6420, 2022.
  23. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, Lu Qin. Periodic communities mining in temporal networks: Concepts and algorithms. IEEE Transactions on Knowledge and Data Engineering, 34(8): 3927-3945, 2020.
  24. Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, Jeffrey Xu Yu. Mining stable communities in temporal networks by density-based clustering. IEEE Transactions on Big Data, 8(3): 671-684, 2020.
  25. Lianpeng Qiao, Rong-Hua Li, Zhiwei Zhang, Ye Yuan, Guoren Wang, Hongchao Qin. Maximal Quasi-Cliques Mining in Uncertain Graphs. IEEE Transactions on Big Data, 9(1): 37-50, 2021.
  26. Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li. Butterfly-based higher-order clustering on bipartite networks. KSEM, 485-497, 2020.
  27. Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining periodic cliques in temporal networks. ICDE, 1130-1141, 2019.
  28. Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Group Identity Matching Across Heterogeneous Social Networks. WISE, 230-246, 2018.

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