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Qiangqiang Dai

 qiangd66@gmail.com

About Me

I’m a postdoc at the School of Computer Science and Technology, Beijing Institute of Technology (BIT). I received my PhD from BIT in 2023 under the guidance of Prof. Ronghua Li.

My research interests include graph data management and mining, social network analysis, graph computation systems, etc.

Publications

  1. Qiangqiang Dai, Ronghua Li, Donghang Cui, Guoren Wang. “Theoretically and Practically Efficient Maximum Defective Clique Search”. Proceedings of the ACM on Management of Data (SIGMOD), 2(4): 206:1-206:27, 2024.
  2. Qiangqiang Dai, Rong-Hua Li, Donghang Cui, Meihao Liao, Yu-Xuan Qiu, Guoren Wang. “Efficient Maximal Biplex Enumerations with Improved Worst-Case Time Guarantee”. Proceedings of the ACM on Management of Data (SIGMOD), 2(3): 135:1-135:26, 2024.
  3. Meihao Liao, Junjie Zhou, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Guoren Wang. “Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach”. Proceedings of the ACM on Management of Data (SIGMOD), 2(3): 133:1-133:26, 2024.
  4. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang. “Efficient k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 36(4): 1518-1536, 2024.
  5. Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang. “I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs”. In IEEE International Conference on Data Engineering (ICDE), 2024: 3217-3229
  6. Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Guoren Wang. “Maximal Defective Clique Enumeration”. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 77:1-77:26, 2023.
  7. Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Guoren Wang. “Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches”. Proceedings of the ACM on Management of Data (SIGMOD), 1(2): 138:1-138:26, 2023.
  8. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang. “Efficient Resistance Distance Computation: the Power of Landmark-based Approaches”. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 68:1-68:27, 2023.
  9. 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”. Proceedings of the ACM on Management of Data (SIGMOD), 1(2): 160:1-160:26, 2023.
  10. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang. “Efficient Biclique Counting in Large Bipartite Graphs”. Proceedings of the ACM on Management of Data (SIGMOD), 1(1): 78:1-78:26, 2023.
  11. Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan. “Core Decomposition on Uncertain Graphs Revisited”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(1): 196-210, 2023.
  12. Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Hongzhi Chen, Guoren Wang. “Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach”. In International Conference on Management of Data (SIGMOD), 2022: 2034-2047.
  13. Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang. “Scaling Up Maximal k-plex Enumeration”. In International Conference on Information and Knowledge Management (CIKM), 2022: 345-354.
  14. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Guoren Wang. “Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach”. In International Conference on Management of Data (SIGMOD) Conference 2022: 2048-2061.
  15. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang. “Lightning Fast and Space Efficient k-clique Counting”. In The Web Conference (WWW), 2022: 1191-1202.
  16. Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang. “Filtration-Enhanced Graph Transformation”. In International Joint Conference on Artificial Intelligence (IJCAI), 2022: 1987-1993.
  17. Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. “Signed Clique Search in Signed Networks: Concepts and Algorithms”. IEEE Transactions on Knowledge and Data Engineering (TKDE), 33(2): 710-727 (2021).
  18. Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan. “Scaling Up Distance-generalized Core Decomposition”. In International Conference on Information and Knowledge Management (CIKM), 2021: 312-321.
  19. Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu. “Improved Algorithms for Maximal Clique Search in Uncertain Networks”. In IEEE International Conference on Data Engineering (ICDE), 2019: 1178-1189.
  20. Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. “Efficient Signed Clique Search in Signed Networks”. In IEEE International Conference on Data Engineering (ICDE), 2018: 245-256.
  21. Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai. “Persistent Community Search in Temporal Networks”. In IEEE International Conference on Data Engineering (ICDE), 2018: 797-808.