Hongchao Qin

Agent Memory / Vector Search / Graph Mining / Knowledge Graphs

Hongchao Qin （秦宏超）

Assistant Professor, School of Computer Science, Beijing Institute of Technology (BIT)

北京理工大学计算机学院个人主页 · BIT School of Computer Science profile

Education B.S., M.S., Ph.D., Northeastern University (2013, 2015, 2020)
Experience Postdoc at BIT (2020-2022); Research Assistant at SMU (2016-2017)

My earlier research focused on scalable data management and graph mining, including community search, temporal and dynamic graph analysis, higher-order graph structures, personalized search, and graph representation learning.

My current research focuses on memory-augmented self-evolving agents for long-horizon tasks: how to build data models that can iteratively update and evolve through experience. Besides, I also study on how to design the most efficient vector retrieval algorithms.

My research has resulted in 60+ peer-reviewed publications, including work in CCF-A venues such as SIGMOD, VLDB, ICDE, and ICML, as well as leading journals including IEEE TKDE.

Academic Services – Past Year

  • Journal Reviewer: IEEE TKDE, IEEE TSC, IEEE TNNLS, IEEE T-ASE, IEEE TNSE, IEEE TCSS, ACM TKDD, ESWA, and JPDC.
  • PC Member: WSDM 2027, ICDM 2026, DASFAA 2027, AAAI 2027, IJCAI-ECAI 2026, PAKDD 2026, WISE 2026, SIGIR 2026, ICML 2026, EMNLP 2026, and NeurIPS 2026.

Publications

2026

  1. Xiang Wu, Rong-Hua Li, Zhaoxin Fan, Kai Chen, Yujin Gao, Hongchao Qin, Guoren Wang. GRPCI: Harnessing Temporal-Spatial Dynamics for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 38(2): 1144-1158 (2026).
  2. Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Hongchao Qin, Guoren Wang. Effective Bug Detection in Graph Database Engines: An LLM-Based Approach. IEEE Trans. Knowl. Data Eng. 38(3): 1679-1694 (2026).
  3. Donghang Cui, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang. Maximum Defective Biclique Search in Large Bipartite Graphs. Proc. VLDB Endow. 19(11): 3259-3272 (2026).
  4. Zhiqiu Zou, Ziqi Yin, Rong-Hua Li, Hongchao Qin, Qiangqiang Dai, Guoren Wang. RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search. Proc. VLDB Endow. 19(10): 2839-2852 (2026).
  5. Zekai Chen, Xunkai Li, Sirui Zhang, Henan Sun, Jia Li, Qiangqiang Dai, Hongchao Qin, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang. Towards Docking-oriented De Novo Ligand Design via Gradient Inversion. ICML 2026 (accepted).
  6. Zekai Chen, Haodong Lu, Xunkai Li, Henan Sun, Jia Li, Hongchao Qin, Rong-Hua Li, Guoren Wang. DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs. ICML 2026 (accepted).
  7. Sicheng Liu, Xunkai Li, Daohan Su, Ru Zhang, Hongchao Qin, Rong-Hua Li, Guoren Wang. Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach. ICML 2026 (accepted).
  8. Xiang Wu, Rong-Hua Li, Xunkai Li, Kangfei Zhao, Hongchao Qin, Guoren Wang. Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms. ICML 2026 (accepted).
  9. Chenxi Wan, Xunkai Li, Yilong Zuo, Haokun Deng, Sihan Li, Bowen Fan, Hongchao Qin, Rong-Hua Li, Guoren Wang. OpenMAG: A Comprehensive Benchmark for Multimodal-Attributed Graph. ICML 2026 (accepted).
  10. Zening Li, Hongchao Qin, Guang Zeng, Rong-Hua Li. FortMem: Secure Stateful Data Management for Long-Term LLM Agent Memory. CIKM 2026 (accepted).
  11. Zening Li, Hongchao Qin, Guang Zeng, Rong-Hua Li. PrivMem: Privacy-Preserving Temporal Motif Mining over Cross-User Agent Memory Graphs. CIKM 2026 (accepted).
  12. Tianyi Gao, Hongchao Qin, Haotian Jiang, Guang Zeng, Rong-Hua Li. Bounded-Memory Aggregate Query Processing on Streaming Temporal Graphs. CIKM 2026 (accepted).
  13. Xiang Wu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Kangfei Zhao. H-Mem: Hawkes-driven Adaptive Forgetting for Long-Horizon Agent Memory. CIKM 2026 (accepted).
  14. Yaxin Deng, Hongchao Qin, Tianyi Gao, Guang Zeng, Rong-Hua Li. MemDTG: Dynamic Temporal Memory Graphs for Evidence-Admissible Agent Memory. CIKM 2026 (accepted).
  15. Ziming Shao, Rong-Hua Li, Hongchao Qin, Qiangqiang Dai, Guoren Wang. Support-Compatible Graph Construction for Local Geometric Anomaly Retrieval. ICDM 2026 (accepted).
  16. Liming Xiang, Jing Feng, Hongchao Qin. Temporal Anomalous Community Detection in Agent Memory. ICDM 2026 (accepted).
  17. Zhengyu Wu, Xu Wang, Hongchao Qin, Xunkai Li, Guang Zeng, Rong-Hua Li, Guoren Wang. Toward Multimodal Graph Foundation Model: A Spectral-Based Approach. ICDM 2026 (accepted).
  18. Sirui Zhang, Xu Wang, Zhengyu Wu, Xunkai Li, Hongchao Qin. CoMAG: Context-Aware Modality-Topology Co-Alignment for Multimodal Attributed Graphs. ICDM 2026 (accepted).

2025

  1. Yalong Zhang, Rong-Hua Li, Qi Zhang, Hongchao Qin, Lu Qin, Guoren Wang. Density Decomposition of Bipartite Graphs. Proc. ACM Manag. Data 3(1): 30:1-30:25 (2025).
  2. Yue Zeng, Miao Qiao, Rong-Hua Li, Hongchao Qin, Guoren Wang. Scaling Up k-Clique Percolation Community Detection. Proc. ACM Manag. Data 3(4): 263:1-263:27 (2025).
  3. Hongchao Qin, Guang Zeng, Rong-Hua Li, Longlong Lin, Ye Yuan, Guoren Wang. Truss Decomposition in Hypergraphs. Proc. VLDB Endow. 18(7): 2185-2197 (2025).
  4. 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 Trans. Big Data 11(2): 402-413 (2025).
  5. Hongchao Qin, Sen Gao, Rong-Hua Li, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful Star Motif Counting: Concepts, Algorithms and Applications. IEEE Trans. Knowl. Data Eng. 37(3): 1105-1125 (2025).
  6. Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao. Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches. IEEE Trans. Knowl. Data Eng. 37(9): 5568-5583 (2025).
  7. Qi Zhang, Rong-Hua Li, Yalong Zhang, Hongchao Qin, Guoren Wang. Density decomposition on large static and dynamic graphs: algorithms and applications. VLDB J. 34(6): 63 (2025).
  8. Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang. Efficient Maximum Fair Clique Search Over Large Networks. ICDE (2025): 1043-1055.
  9. Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li. On Temporal-Constraint Subgraph Matching. ICDE (2025): 2493-2506.
  10. Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang. Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. ICML (2025).
  11. Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang. Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. WWW (2025): 2908-2923.

2024

  1. Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia. QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (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. Proc. VLDB Endow. 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. Proc. VLDB Endow. 17(11): 2933-2945 (2024).
  4. 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 Trans. Syst. Man Cybern. Syst. 54(9): 5606-5616 (2024).
  5. Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin. Mining Quasi-Periodic Communities in Temporal Network. ICDE (2024): 2476-2488.
  6. Jiujian Chen, Kai Wang, Rong-Hua Li, Hongchao Qin, Xuemin Lin, Guoren Wang. Maximal Biclique Enumeration: A Prefix Tree Based Approach. ICDE (2024): 2544-2556.

2023

  1. Yingfu Zhao, Fusheng Jin, Rong-Hua Li, Hongchao Qin, Peng Cui, Guoren Wang. Self-attention Hypergraph Pooling Network. Int. J. Softw. Informatics 13(4): 379-397 (2023).
  2. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang. Efficient Resistance Distance Computation: The Power of Landmark-based Approaches. Proc. ACM Manag. Data 1(1): 68:1-68:27 (2023).
  3. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang. Efficient Biclique Counting in Large Bipartite Graphs. Proc. ACM Manag. Data 1(1): 78:1-78:26 (2023).
  4. 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. Proc. ACM Manag. Data 1(2): 160:1-160:26 (2023).
  5. Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He. Parallel Colorful h-star Core Maintenance in Dynamic Graphs. Proc. VLDB Endow. 16(10): 2538-2550 (2023).
  6. Lianpeng Qiao, Rong-Hua Li, Zhiwei Zhang, Ye Yuan, Guoren Wang, Hongchao Qin. Maximal Quasi-Cliques Mining in Uncertain Graphs. IEEE Trans. Big Data 9(1): 37-50 (2023).
  7. 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. 35(6): 6405-6420 (2023).
  8. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai. Densest Periodic Subgraph Mining on Large Temporal Graphs. IEEE Trans. Knowl. Data Eng. 35(11): 11259-11273 (2023).
  9. Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong. Temporal Graph Cube. IEEE Trans. Knowl. Data Eng. 35(12): 13015-13030 (2023).
  10. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai. Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. ICDE (2023): 245-257.
  11. Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang. Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. ICDE (2023): 585-598.

2022

  1. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Lu Qin, Zhiwei Zhang. Mining Bursting Core in Large Temporal Graph. Proc. VLDB Endow. 15(13): 3911-3923 (2022).
  2. 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).
  3. 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).
  4. 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 (1) (2022): 461-476.
  5. Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang. Scaling Up Maximal k-plex Enumeration. CIKM (2022): 345-354.
  6. Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful h-star Core Decomposition. ICDE (2022): 2588-2601.
  7. Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang. Filtration-Enhanced Graph Transformation. IJCAI (2022): 1987-1993.

Before 2021

  1. Zezhong Wang, Ye Yuan, Xiangmin Zhou, Hongchao Qin. Effective and Efficient Community Search in Directed Graphs Across Heterogeneous Social Networks. ADC (2020): 161-172.
  2. Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li. Butterfly-Based Higher-Order Clustering on Bipartite Networks. KSEM (1) (2020): 485-497.
  3. Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE (2019): 1130-1141.
  4. Yuliang Ma, Ye Yuan, Guoren Wang, Xin Bi, Hongchao Qin. Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks. Cogn. Comput. 10(6): 965-979 (2018).
  5. Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Group Identity Matching Across Heterogeneous Social Networks. WISE (1) (2018): 230-246.
  6. Zezhong Wang, Ye Yuan, Guoren Wang, Hongchao Qin, Yuliang Ma. An Effective Method for Community Search in Large Directed Attributed Graphs. MSN (2017): 237-251.
  7. Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Efficient Community Maintenance for Dynamic Social Networks. APWeb (2) (2016): 478-482.