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Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Qun Tian, Guoren Wang. Fairness-aware Maximal Clique in Large Graphs: Concepts and Algorithms. IEEE Transactions on Knowledge and Data Engineering, (Accepted)
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, (Accepted)
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, (Accepted)
Yu-Xuan Qiu, Dong Wen, Rong-Hua Li, Lu Qin, Michael Yu, Xuemin Lin. Computing Significant Cliques in Large Labeled Networks. IEEE Transactions on Big Data, (Accepted)
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, 35(1): 196-210, 2023.
Lianpeng Qiao, Rong-Hua Li, Zhiwei Zhang, Guoren Wang, Ximing Li, and Ye Yuan. Maximal Quasi-Cliques Mining in Uncertain Graphs. IEEE Transactions on Big Data 9(1): 37-50, 2023.
Qi Zhang, Rong-Hua Li*, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang: Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. ICDE, 2023.
Hongchao Qin, Rong-Hua Li*, Ye Yuan, Guoren Wang, Yongheng Dai. Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. ICDE, 2023.
Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li*, Guoren Wang: Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. ICDE, 2023.
Longlong Lin, Rong-Hua Li*, Tao Jia: Scalable and Effective Conductance-based Graph Clustering. AAAI, 2023.
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.
Qiangqiang Dai, Rong-Hua Li*, Meihao Liao, Guoren Wang: Maximal Defective Clique Enumeration. SIGMOD, 2023.
Xiaowei Ye, Rong-Hua Li*, Qiangqiang Dai, Hongchao Qin, Guoren Wang: Efficient Biclique Counting in Large Bipartite Graphs. SIGMOD, 2023.
Qiangqiang Dai, Rong-Hua Li*, Xiaowei Ye, Meihao Liao, Weipeng Zhang, Guoren Wang: Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches. SIGMOD, 2023.
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.
Yu-Xuan Qiu, Dong Wen, Lu Qin, Wentao Li, Rong-Hua Li, Ying Zhang: Efficient Shortest Path Counting on Large Road Networks. Proc. VLDB Endow. 15(10): 2098-2110, 2022.
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.
Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei: Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. 16(2): 343-355, 2022.
Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Computing K-Cores in Large Uncertain Graphs: An Index-based Optimal Approach. IEEE Transactions on Knowledge and Data Engineering, 34(7): 3126-3138, 2022.
Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, and Rui Mao. I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Transactions on Knowledge and Data Engineering, 34(7): 3335-3348, 2022.
Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, and Lu Qin. Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. IEEE Transactions on Knowledge and Data Engineering, 34(8): 3927-3945, 2022.
Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, and Jeffrey Xu Yu. Target-aware Holistic Influence Maximization in Spatial Social Networks. IEEE Transactions on Knowledge and Data Engineering, 34(4): 1993-2007, 2022.
Longxu Sun, Xin Huang, Rong-Hua Li, Byron Choi, and Jianliang Xu. Index-based Intimate-Core Community Search in Large Weighted Graphs. IEEE Transactions on Knowledge and Data Engineering, 34(9): 4313-4327, 2022.
Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, and Jeffrey Xu Yu. Mining Stable Communities in Temporal Networks by Density-based Clustering. IEEE Transactions on Big Data 8(3): 671-684, 2022.
Longlong Lin, Pingpeng Yuan, Rong-Hua Li, and Hai Jin. Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Transactions on Big Data 8(6): 1537-1549, 2022.
Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin: Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3731-3745, 2022.
Zijian Chen, Rong-Hua Li*, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang. Filtration-Enhanced Graph Transformation, IJCAI, 2022.
Gao Sen, Rong-Hua Li*, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang. Colorful h-star Core Decomposition, ICDE, 2022.
Minjia Pan, Rong-Hua Li*, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang: Fairness-aware Maximal Clique Enumeration. ICDE, 2022.
Qi Zhang, Rong-Hua Li*, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan: Efficient Top-k Ego-Betweenness Search. ICDE, 2022.
Xiaowei Ye, Rong-Hua Li*, Qiangqiang Dai, Hongzhi Chen, Guoren Wang: Lightning Fast and Space Efficient k-clique Counting. WWW, 2022.
Qiangqiang Dai, Rong-Hua Li*, Meihao Liao, Hongzhi Chen, Guoren Wang: Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach. SIGMOD, 2022.
Meihao Liao, Rong-Hua Li*, Qiangqiang Dai, Guoren Wang: Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach. SIGMOD, 2022.
Qiangqiang Dai, Rong-Hua Li*, Hongchao Qin, Meihao Liao, Guoren Wang: Scaling Up Maximal k-plex Enumeration. CIKM 2022: 345-354
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 Trans. Knowl. Data Eng. 33(2): 710-727 (2021)
Shaojie Qiao , Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, and Xindong Wu: Dynamic Community Evolution Analysis Framework for Large-scale Complex Networks Based on Strong and Weak Events. . IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6229-6243, 2021
Qiangqiang Dai, Rong-Hua Li*, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan: Scaling Up Distance-generalized Core Decomposition. CIKM 2021: 312-321
Rong-Hua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang, Jeffrey Xu Yu. Ordering Heuristics for k-clique Listing, VLDB 2020.
Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin: Efficient Top-k Edge Structural Diversity Search. ICDE 2020: 205-216
Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao and Zibin Zheng: Finding skyline communities in multi-valued networks. VLDB Journal 29(6): 1407-1432, 2020.
Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu. Discrete Overlapping Community Detection with Pseudo Supervision, ICDM 2019.
Xiaxia Guan, Shurong Zhang, Rong-Hua Li, Lin Chen, Weihua Yang: Anti-k-labeling of graphs. Applied Mathematics and Computation 363 (2019).
Lu Miao, Shurong Zhang, Rong-Hua Li, Weihua Yang. Structure fault tolerance of k-ary n-cube networks. Theoretical Computer Science, 2019.
Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li. Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference 2019: 1339-1356.
Yu-Xuan Qiu, Rong-Hua Li*,Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao. Efficient Structural Clustering on Probabilistic Graphs, IEEE Transactions on Knowledge and Data Engineering. 31(10): 1954-1968 (2019)
Xi Xiong, Shaojie Qiao, Yuanyuan Li, Haiqing Zhang, Ping Huang, Nan Han, Rong-Hua Li. ADPDF: A Hybrid Attribute Discrimination Method for Psychometric Data With Fuzziness.IEEE Trans. Systems, Man, and Cybernetics: Systems 49(1): 265-278 (2019)
Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li. Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs. ICDE 2019: 64-75(1 of 8 excellent paper, invited to TKDE)
Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu. Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE 2019: 1178-1189
Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141
Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao. Efficient Signed Clique Search in Signed Networks. ICDE 2018: 245-256.(1 of 8 excellent paper, invited to TKDE)
Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai. Persistent Community Search in Temporal Networks. ICDE 2018: 797-808 , (code) , (A simpler version for chinese students)
Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng. Skyline Community Search in Multi-valued Networks. SIGMOD Conference 2018: 457-472 , (code)
Fei Chen, Donghong Wang, Rong-Hua Li, Jianyong Chen, Zhong Ming, Alex X. Liu, Huayi Duan, Cong Wang, Jing Qin. Secure Hashing-Based Verifiable Pattern Matching. IEEE Trans. Information Forensics and Security 13(11): 2677-2690 (2018)
Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu. Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique. IEEE Trans. Intelligent Transportation Systems 19(7): 2305-2315 (2018)
Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu. A Fast Parallel Community Discovery Model on Complex Networks through Approximate Optimization. IEEE Transactions on Knowledge and Data Engineering 30(9): 1638-1651 (2018)
Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Finding influential communities in massive networks. VLDB J. 26(6): 751-776 (2017)
Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs. IEEE Transactions on Knowledge and Data Engineering 28(2): 468-482 (2016)
Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Optimal Multi-Meeting-Point Route Search. IEEE Transactions on Knowledge and Data Engineering 28(3): 770-784 (2016)
Can Lu, Jeffrey Xu Yu, Rong-Hua Li*, Hao Wei. Exploring Hierarchies in Online Social Networks. IEEE Transactions on Knowledge and Data Engineering 28(8): 2086-2100 (2016)
Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Efficient and Progressive Group Steiner Tree Search. SIGMOD Conference 2016: 91-106
Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao. Influential Community Search in Large Networks. PVLDB 8(5): 509-520 (2015)
Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K structural diversity search in large networks. VLDB Journal 24(3): 319-343 (2015)
Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin. On random walk based graph sampling. ICDE 2015: 927-938
Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang. Locally Densest Subgraph Discovery. KDD 2015: 965-974
Rong-Hua Li, Jeffrey Xu Yu, Rui Mao. Efficient Core Maintenance in Large Dynamic Graphs. IEEE Transactions on Knowledge and Data Engineering 26(10): 2453-2465 (2014)
Rong-Hua Li Jeffrey Xu Yu, Xin Huang, Hong Cheng. Random-walk domination in large graphs. ICDE 2014: 736-747
Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin. Efficient and accurate query evaluation on uncertain graphs via recursive stratified sampling. ICDE 2014: 892-903
Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu. Top-K Structural Diversity Search in Large Networks. PVLDB 6(13): 1618-1629 (2013)
Rong-Hua Li, Jeffrey Xu Yu. Scalable Diversified Ranking on Large Graphs. IEEE Transactions on Knowledge and Data Engineering 25(9): 2133-2146 (2013)
Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng. Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM 2012: 612-623
Rong-Hua Li, Jeffrey Xu Yu, Jianquan Liu. Link prediction: the power of maximal entropy random walk. CIKM 2011: 1147-1156
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