Hongchao Qin

My name is Hongchao Qin. I'm an Assistant Professor with Beijing Institute of Technology, China. I obtained 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

  • Community Mining, Modern Graph Mining, Knowledge Graph, Database System, etc.

Publications

  1. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Lu Qin, Zhiwei Zhang: Mining Bursting Core in Large Temporal Graph. PVLDB 15(13): 3911 - 3923. (CCF A)
  2. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai: Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. To appear in ICDE 2023. (CCF A)
  3. Hongchao Qin, Rong-Hua Li, Ye Yuan, Yongheng Dai, Guoren Wang : Densest Periodic Subgraph Mining on Large Temporal Graphs. Accept by IEEE Trans. Knowl. Data Eng. (CCF A)
  4. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, Lu Qin: Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. 34(8): 3927-3945 (2022). (CCF A)
  5. Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141. (CCF A)
  6. 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 Trans. Big Data 8(3): 671-684 (2022). (JCR Q1)
  7. Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Group Identity Matching Across Heterogeneous Social Networks. WISE 2018: 230-246. (CCF C)
  8. Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Efficient Community Maintenance for Dynamic Social Networks. APWeb 2016: 478-482. (CCF C)
  9. Xiaowei Ye, Rong-Hua Li, Qiangqiang dai, Hongchao Qin, Guoren Wang. Efficient Biclique Counting in Large Bipartite Graphs. SIGMOD 2023. (CCF A)
  10. Meihao Liao, Rong-Hua Li, Qiangqiang dai, Hongyang chen, Hongchao Qin, Guoren Wang. Efficient Resistance Distance Computation: the Power of Landmark-based Approaches. SIGMOD 2023. (CCF A)
  11. 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 2023. (CCF A)
  12. Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan: Stable Subgraph Isomorphism Search in Temporal Networks. IEEE Trans. Knowl. Data Eng.: DOI: 10.1109/TKDE.2022.3175800. (CCF A)
  13. Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang: Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. To appear in ICDE 2023. (CCF A)
  14. Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang: Colorful h-star Core Decomposition. ICDE 2022: 2588-2601. (CCF A)
  15. Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang: Filtration-Enhanced Graph Transformation. IJCAI 2022: 1987-1993. (CCF A)
  16. Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang: Scaling Up Maximal k-plex Enumeration. CIKM 2022: 345-354. (CCF B)
  17. Zebin Ren, Hongchao Qin, Rong-Hua Li, Yongheng Dai, Guoren Wang, Yanhui Li: Mining Periodic k-Clique from Real-World Sparse Temporal Networks. To appear in APWeb/WAIM 2022. (CCF C)
  18. Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li: Butterfly-Based Higher-Order Clustering on Bipartite Networks. KSEM (1) 2020: 485-497. (CCF C)

Academic Services

  • Invited Journal Reviewer: IEEE TKDE, KAIS, WWWJ, etc.

  • (External) Conference Reviewer: VLDB, ICDE, KDD, etc.