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2020 – today
- 2024
[j88]Yue He, Longlong Lin
, Pingpeng Yuan, Ronghua Li, Tao Jia, Zeli Wang:
CCSS: Towards conductance-based community search with size constraints. Expert Syst. Appl. 250: 123915 (2024)- [j87]Yizhou Dai, Miao Qiao, Rong-Hua Li:
On Density-based Local Community Search. Proc. ACM Manag. Data 2(2): 88 (2024) - [j86]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. Proc. ACM Manag. Data 2(3): 133 (2024) - [j85]Qiangqiang Dai, Rong-Hua Li, Donghang Cui, Meihao Liao, Yu-Xuan Qiu, Guoren Wang:
Efficient Maximal Biplex Enumerations with Improved Worst-Case Time Guarantee. Proc. ACM Manag. Data 2(3): 135 (2024) - [j84]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chun-Xue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. 17(6): 1187-1199 (2024) - [j83]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Ronghua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. Proc. VLDB Endow. 17(7): 1542-1551 (2024) - [j82]Ronghua Li, Haibo Hu, Qingqing Ye:
RFTrack: Stealthy Location Inference and Tracking Attack on Wi-Fi Devices. IEEE Trans. Inf. Forensics Secur. 19: 5925-5939 (2024) - [j81]Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches. IEEE Trans. Knowl. Data Eng. 36(4): 1518-1536 (2024) - [c65]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. AAAI 2024: 13682-13690 - [c64]Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang:
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. ICDE 2024: 2379-2392 - [c63]Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin:
Mining Quasi-Periodic Communities in Temporal Network. ICDE 2024: 2476-2488 - [c62]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. ICDE 2024: 2517-2530 - [c61]Jiujian Chen, Kai Wang, Ronghua Li, Hongchao Qin, Xuemin Lin, Guoren Wang:
Maximal Biclique Enumeration: A Prefix Tree Based Approach. ICDE 2024: 2544-2556 - [c60]Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang:
I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs. ICDE 2024: 3217-3229 - [c59]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW 2024: 560-569 - [i32]Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang:
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. CoRR abs/2401.11750 (2024) - [i31]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR abs/2401.11755 (2024) - [i30]Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Towards Effective and General Graph Unlearning via Mutual Evolution. CoRR abs/2401.11760 (2024) - [i29]Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. CoRR abs/2401.11772 (2024) - [i28]Jiayi Wu, Zhengyu Wu, Ronghua Li, Hongchao Qin, Guoren Wang:
Effective Bug Detection in Graph Database Engines: An LLM-based Approach. CoRR abs/2402.00292 (2024) - [i27]Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Rethinking Node-wise Propagation for Large-scale Graph Learning. CoRR abs/2402.06128 (2024) - [i26]Henan Sun, Zhengyu Wu, Rong-Hua Li, Guoren Wang, Zening Li:
K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local Differential Privacy. CoRR abs/2403.01788 (2024) - [i25]Xiaowei Ye, Miao Qiao, Ronghua Li, Qi Zhang, Guoren Wang:
Scalable k-clique Densest Subgraph Search. CoRR abs/2403.05775 (2024) - [i24]Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li:
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR abs/2404.14061 (2024) - [i23]Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang:
Counting Cohesive Subgraphs with Hereditary Properties. CoRR abs/2405.04823 (2024) - [i22]Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li:
PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. CoRR abs/2406.07357 (2024) - [i21]Lantian Xu, Rong-Hua Li, Dong Wen, Qiangqiang Dai, Guoren Wang, Lu Qin:
Efficient Antagonistic k-plex Enumeration in Signed Graphs. CoRR abs/2406.16268 (2024) - 2023
- [j80]Weiguo Yi, Siwei Ma, Ronghua Li:
Insulator and Defect Detection Model Based on Improved Yolo-S. IEEE Access 11: 93215-93226 (2023) - [j79]Yulong Wei, Ronghua Li, Weihua Yang:
Hybrid Fault Diagnosis Capability Analysis of Highly Connected Graphs. Comput. J. 66(1): 221-228 (2023) - [j78]Yingfu Zhao, Fusheng Jin, Ronghua Li, Hongchao Qin, Peng Cui, Guoren Wang:
Self-attention Hypergraph Pooling Network. Int. J. Softw. Informatics 13(4): 379-397 (2023) - [j77]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) - [j76]Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Guoren Wang:
Maximal Defective Clique Enumeration. Proc. ACM Manag. Data 1(1): 77:1-77:26 (2023) - [j75]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) - [j74]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. Proc. ACM Manag. Data 1(2): 138:1-138:26 (2023) - [j73]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) - [j72]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) - [j71]Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Ronghua Li, Guoren Wang:
FedGTA: Topology-aware Averaging for Federated Graph Learning. Proc. VLDB Endow. 17(1): 41-50 (2023) - [j70]Xuxin Zhang, Jingjun Lou, Shijian Zhu, Jinfang Lu, Ronghua Li:
Sound Field Reconstruction Using Prolate Spheroidal Wave Functions and Sparse Regularization. Sensors 23(19): 8312 (2023) - [j69]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) - [j68]Yu-Xuan Qiu, Dong Wen, Rong-Hua Li, Lu Qin, Michael Yu, Xuemin Lin:
Computing Significant Cliques in Large Labeled Networks. IEEE Trans. Big Data 9(3): 904-917 (2023) - [j67]Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan:
Core Decomposition on Uncertain Graphs Revisited. IEEE Trans. Knowl. Data Eng. 35(1): 196-210 (2023) - [j66]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) - [j65]Hongchao Qin, Rong-Hua Li, Ye Yuan, Yongheng Dai, Guoren Wang:
Densest Periodic Subgraph Mining on Large Temporal Graphs. IEEE Trans. Knowl. Data Eng. 35(11): 11259-11273 (2023) - [j64]Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-Aware Maximal Clique in Large Graphs: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. 35(11): 11368-11387 (2023) - [j63]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) - [c58]Longlong Lin, Ronghua Li, Tao Jia:
Scalable and Effective Conductance-Based Graph Clustering. AAAI 2023: 4471-4478 - [c57]Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai:
Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. ICDE 2023: 245-257 - [c56]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 - [c55]Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. ICDE 2023: 1665-1677 - [c54]Miaomiao Cheng, Jiujian Chen, Cheng Zhao, Cheng Chen, Yongmin Hu, Xiaoliang Cong, Liang Qin, Hexiang Lin, Ronghua Li, Guoren Wang, Shuai Zhang, Lei Zhang:
ByteGAP: A Non-continuous Distributed Graph Computing System using Persistent Memory. VLDB Workshops 2023 - [i20]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chun-Xue Zhu, Hongchao Qin, Hai Jin, Tao Jia:
Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank. CoRR abs/2302.08740 (2023) - [i19]Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang:
Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. CoRR abs/2303.03705 (2023) - [i18]Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang:
Locally Differentially Private Graph Embedding. CoRR abs/2310.11060 (2023) - [i17]Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Guoren Wang:
Scalable Algorithms for Laplacian Pseudo-inverse Computation. CoRR abs/2311.10290 (2023) - [i16]Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang:
Efficient Maximum Fair Clique Search over Large Networks. CoRR abs/2312.04088 (2023) - [i15]Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang:
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. CoRR abs/2312.04111 (2023) - 2022
- [j62]Shurong Zhang, Dongyue Liang, Lin Chen, Ronghua Li, Weihua Yang:
The Component Diagnosability of Hypercubes with Large-Scale Faulty Nodes. Comput. J. 65(5): 1129-1143 (2022) - [j61]Yu-Xuan Qiu, Dong Wen, Lu Qin, Wentao Li, Ronghua Li, Ying Zhang:
Efficient Shortest Path Counting on Large Road Networks. Proc. VLDB Endow. 15(10): 2098-2110 (2022) - [j60]Hongchao Qin, Ronghua Li, Ye Yuan, Guoren Wang, Lu Qin, Zhiwei Zhang:
Mining Bursting Core in Large Temporal Graph. Proc. VLDB Endow. 15(13): 3911-3923 (2022) - [j59]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) - [j58]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) - [j57]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin:
Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Trans. Big Data 8(6): 1537-1549 (2022) - [j56]Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu:
Target-Aware Holistic Influence Maximization in Spatial Social Networks. IEEE Trans. Knowl. Data Eng. 34(4): 1993-2007 (2022) - [j55]Dong Wen, Bohua Yang, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li:
Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach. IEEE Trans. Knowl. Data Eng. 34(7): 3126-3138 (2022) - [j54]Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Trans. Knowl. Data Eng. 34(7): 3335-3348 (2022) - [j53]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) - [j52]Longxu Sun, Xin Huang, Rong-Hua Li, Byron Choi, Jianliang Xu:
Index-Based Intimate-Core Community Search in Large Weighted Graphs. IEEE Trans. Knowl. Data Eng. 34(9): 4313-4327 (2022) - [j51]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) - [c53]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 - [c52]Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang:
Scaling Up Maximal k-plex Enumeration. CIKM 2022: 345-354 - [c51]Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-aware Maximal Clique Enumeration. ICDE 2022: 259-271 - [c50]Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan:
Efficient Top-k Ego-Betweenness Search. ICDE 2022: 380-392 - [c49]Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan:
Core Decomposition on Uncertain Graphs Revisited (Extended Abstract). ICDE 2022: 1515-1516 - [c48]Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang:
Colorful h-star Core Decomposition. ICDE 2022: 2588-2601 - [c47]Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang:
Filtration-Enhanced Graph Transformation. IJCAI 2022: 1987-1993 - [c46]Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Hongzhi Chen, Guoren Wang:
Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach. SIGMOD Conference 2022: 2034-2047 - [c45]Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Guoren Wang:
Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach. SIGMOD Conference 2022: 2048-2061 - [c44]Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang:
Lightning Fast and Space Efficient k-clique Counting. WWW 2022: 1191-1202 - [i14]Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang:
Fast Algorithm for Maximal k-plex Enumeration. CoRR abs/2203.10760 (2022) - [i13]Longlong Lin, Rong-Hua Li, Tao Jia:
Scalable and Effective Conductance-based Graph Clustering. CoRR abs/2211.12511 (2022) - 2021
- [j50]Yulong Wei, Ronghua Li, Weihua Yang:
The g-Extra Edge-Connectivity of Balanced Hypercubes. J. Interconnect. Networks 21(4): 2142008:1-2142008:9 (2021) - [j49]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) - [j48]Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, 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) - [c43]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 - [i12]Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang:
Fairness-aware Maximal Clique Enumeration. CoRR abs/2107.10025 (2021) - [i11]Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan:
Efficient Top-k Ego-Betweenness Search. CoRR abs/2107.10052 (2021) - 2020
- [j47]Ronghua Li, Huai Wei, Weixuan Qin, Zehang Ma, Chengtian Tang, Bin Li, Li Pei:
Synchronous Multi-Wavelength Ultra-Short-Pulse Laser With Arbitrary Wavelength Interval. IEEE Access 8: 167308-167318 (2020) - [j46]Xi Xiong, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Rong-Hua Li, Kun Yue, Guan Yuan:
Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. Neurocomputing 373: 56-69 (2020) - [j45]Ronghua Li, Sen Gao, Lu Qin, Guoren Wang, Weihua Yang, Jeffrey Xu Yu:
Ordering Heuristics for k-clique Listing. Proc. VLDB Endow. 13(11): 2536-2548 (2020) - [j44]Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng:
Finding skyline communities in multi-valued networks. VLDB J. 29(6): 1407-1432 (2020) - [c42]Ronghua Li, Zhidong Wang, Jingshan Yang, Qi Lu:
Research on automatic cleaning method for hole work-piece in rail transit by intelligent robot. CACRE 2020: 43-47 - [c41]Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin:
Efficient Top-k Edge Structural Diversity Search. ICDE 2020: 205-216 - [c40]Dongmei Cui, Fusheng Jin, Rong-Hua Li, Guoren Wang:
CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification. ICTAI 2020: 1020-1027 - [c39]Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li:
Butterfly-Based Higher-Order Clustering on Bipartite Networks. KSEM (1) 2020: 485-497 - [i10]Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan:
Scaling Up Distanced-generalized Core Decomposition. CoRR abs/2006.03372 (2020)
2010 – 2019
- 2019
- [j43]Xiaxia Guan, Shurong Zhang, Rong-Hua Li, Lin Chen, Weihua Yang:
Anti-k-labeling of graphs. Appl. Math. Comput. 363 (2019) - [j42]Lu Miao, Shurong Zhang, Rong-Hua Li, Weihua Yang:
Structure fault tolerance of k-ary n-cube networks. Theor. Comput. Sci. 795: 213-218 (2019) - [j41]Yu-Xuan Qiu, Rong-Hua Li, Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
Efficient Structural Clustering on Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. 31(10): 1954-1968 (2019) - [j40]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. Syst. Man Cybern. Syst. 49(1): 265-278 (2019) - [j39]Xi Guo, Jeffrey Xu Yu, Rong-Hua Li, Xue Miao:
Direction-based multiple views on data. World Wide Web 22(1): 185-219 (2019) - [j38]Qiao Tian, Jianxin Li, Lu Chen, Ke Deng, Rong-Hua Li, Mark Reynolds, Chengfei Liu:
Evidence-driven dubious decision making in online shopping. World Wide Web 22(6): 2883-2899 (2019) - [c38]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 - [c37]Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan:
Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141 - [c36]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 - [c35]Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu:
Discrete Overlapping Community Detection with Pseudo Supervision. ICDM 2019: 708-717 - [c34]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 - [c33]Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu:
Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. WISE 2019: 728-744 - [i9]Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li:
Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR abs/1904.02707 (2019) - [i8]Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu:
Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. CoRR abs/1908.11788 (2019) - [i7]Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Ye Yuan, Zhiwei Zhang:
Mining Bursting Communities in Temporal Graphs. CoRR abs/1911.02780 (2019) - 2018
- [j37]