Rong-Hua Li - RankMe

228 papers A* 40A 8B 2C 1Journal 160Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Topology-Aware Positive Sample Set Construction and Feature Optimization Method in Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	AlgBench: To What Extent Do Large Reasoning Models Understand Algorithms? CoRR Henan Sun, Kaichi Yu, Yuyao Wang, Bowen Liu, Xunkai Li, Rong-Hua Li, Nuo Chen, Jia Li
2026	J	`jnl`	BoostFGL: Boosting Fairness in Federated Graph Learning. CoRR Zekai Chen, Kairui Yang, Xunkai Li, Henan Sun, Zhihan Zhang, Jia Li, Qiangqiang Dai, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	DANCE: Dynamic, Available, Neighbor-gated Condensation for Federated Text-Attributed Graphs. CoRR Zekai Chen, Haodong Lu, Xunkai Li, Henan Sun, Jia Li, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	DOGMA: Weaving Structural Information into Data-centric Single-cell Transcriptomics Analysis. CoRR Ru Zhang, Xunkai Li, Yaxin Deng, Sicheng Liu, Daohan Su, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang, Jia Li
2026	J	`jnl`	Dual-Tree LLM-Enhanced Negative Sampling for Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Effective Bug Detection in Graph Database Engines: An LLM-Based Approach. IEEE Trans. Knowl. Data Eng. Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Hongchao Qin, Guoren Wang
2026	J	`jnl`	GRPCI: Harnessing Temporal-Spatial Dynamics for Graph Representation Learning. IEEE Trans. Knowl. Data Eng. Xiang Wu, Rong-Hua Li, Zhaoxin Fan, Kai Chen, Yujin Gao, Hongchao Qin, Guoren Wang
2026	J	`jnl`	LION: A Clifford Neural Paradigm for Multimodal-Attributed Graph Learning. CoRR Xunkai Li, Zhengyu Wu, Zekai Chen, Henan Sun, Daohan Su, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	MM-OpenFGL: A Comprehensive Benchmark for Multimodal Federated Graph Learning. CoRR Xunkai Li, Yuming Ai, Yinlin Zhu, Haodong Lu, Yi Zhang, Guohao Fu, Bowen Fan, Qiangqiang Dai, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	NCSAC: Effective Neural Community Search via Attribute-Augmented Conductance. IEEE Trans. Knowl. Data Eng. Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2026	J	`jnl`	OpenDDI: A Comprehensive Benchmark for DDI Prediction. CoRR Xinmo Jin, Bowen Fan, Xunkai Li, Henan Sun, YuXin Zeng, Zekai Chen, Yuxuan Sun, Jia Li, Qiangqiang Dai, Hongchao Qin, Rong-Hua Li, Guoren Wang
2026	A*	`conf`	PAGE: A Unified Approach for Federated Graph Unlearning. AAAI Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Pseudoarboricity-Based Skyline Important Community Search in Large Networks. IEEE Trans. Knowl. Data Eng. Jiaqi Jiang, Rong-Hua Li, Longlong Lin, Yalong Zhang, Yue Zeng, Xiaowei Ye, Guoren Wang
2026	J	`jnl`	RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search. CoRR Zhiqiu Zou, Ziqi Yin, Rong-Hua Li, Hongchao Qin, Qiangqiang Dai, Guoren Wang
2026	J	`jnl`	Scalable Similarity Search Over Large Attributed Bipartite Graphs. IEEE Trans. Knowl. Data Eng. Xi Ou, Longlong Lin, Zeli Wang, Pingpeng Yuan, Rong-Hua Li
2026	J	`jnl`	Scalable Topology-Preserving Graph Coarsening with Graph Collapse. CoRR Xiang Wu, Rong-Hua Li, Xunkai Li, Kangfei Zhao, Hongchao Qin, Guoren Wang
2026	A*	`conf`	Scalable and Provable Biclique-Preserving Clustering: The Power of Counting-based Approaches. WWW Longlong Lin, Zeli Wang, Rong-Hua Li, Xiaohai Dai, Li Ni, Jin Zhao
2026	J	`jnl`	Scaling up Electrical Closeness Centrality Computation. IEEE Trans. Knowl. Data Eng. Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Guoren Wang
2026	J	`jnl`	TFPS: A Temporal Filtration-enhanced Positive Sample Set Construction Method for Implicit Collaborative Filtering. CoRR Jiayi Wu, Zhengyu Wu, Xunkai Li, Rong-Hua Li, Guoren Wang
2026	J	`jnl`	Theoretically and Practically Efficient Resistance Distance Computation on Large Graphs. CoRR Yichun Yang, Longlong Lin, Rong-Hua Li, Meihao Liao, Guoren Wang
2026	A*	`conf`	Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs. WWW Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	A Comprehensive Data-centric Overview of Federated Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Zekai Chen, Guochen Yan, Yanyu Yan, Hao Zhang, Yuming Ai, Xinmo Jin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	A Computationally Efficient Framework for Overlapping Community Detection in Large Bipartite Graphs. CoRR Yue Zeng, Rong-Hua Li, Qiangqiang Dai, Guoren Wang
2025	J	`jnl`	BD-Index: Scalable Biharmonic Distance Queries on Large Graphs via Divide-and-Conquer Indexing. CoRR Yueyang Pan, Meihao Liao, Rong-Hua Li
2025	J	`jnl`	Colorful Star Motif Counting: Concepts, Algorithms and Applications. IEEE Trans. Knowl. Data Eng. Hongchao Qin, Gao Sen, Rong-Hua Li, Hongzhi Chen, Ye Yuan, Guoren Wang
2025	A*	`conf`	Counting Cohesive Subgraphs with Hereditary Properties. WWW Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang
2025	J	`jnl`	Density Decomposition of Bipartite Graphs. Proc. ACM Manag. Data Yalong Zhang, Rong-Hua Li, Qi Zhang, Hongchao Qin, Lu Qin, Guoren Wang
2025	J	`jnl`	Density decomposition on large static and dynamic graphs: algorithms and applications. VLDB J. Qi Zhang, Rong-Hua Li, Yalong Zhang, Hongchao Qin, Guoren Wang
2025	A	`conf`	DiRW: Path-Aware Digraph Learning for Heterophily. CIKM Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Effective Personalized Search With Heterogeneous Graph Based Hawkes Process. IEEE Trans. Big Data Xiang Wu, Hongchao Qin, Rong-Hua Li, Yuchen Meng, Huanzhong Duan, Yanxiong Lu, Yujing Gao, Fusheng Jin, Guoren Wang
2025	J	`jnl`	Effective and Efficient Conductance-Based Community Search at Billion Scale. IEEE Trans. Big Data Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia
2025	J	`jnl`	Effective and Efficient Conductance-based Community Search at Billion Scale. CoRR Longlong Lin, Yue He, Wei Chen, Pingpeng Yuan, Rong-Hua Li, Tao Jia
2025	J	`jnl`	Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: A Labelling Approach. Proc. ACM Manag. Data Meihao Liao, Yueyang Pan, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Efficient Exact Resistance Distance Computation on Small-Treewidth Graphs: a Labelling Approach. CoRR Meihao Liao, Yueyang Pan, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs. Proc. ACM Manag. Data Meihao Liao, Cheng Li, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Efficient Maximum Fair Clique Search Over Large Networks. ICDE Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang
2025	J	`jnl`	Fast Optimal Group Steiner Tree Search using GPUs. Proc. ACM Manag. Data Jiayu Li, Yahui Sun, Bojing Ma, Libang Chen, Mengxi Hu, Feng Zhang, Rong-Hua Li
2025	J	`jnl`	FedBook: A Unified Federated Graph Foundation Codebook with Intra-domain and Inter-domain Knowledge Modeling. CoRR Zhengyu Wu, Yinlin Zhu, Xunkai Li, Ziang Qiu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	FedC4: Graph Condensation Meets Client-Client Collaboration for Efficient and Private Federated Graph Learning. CoRR Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Federated Graph Unlearning. CoRR Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Federated Prototype Graph Learning. CoRR Zhengyu Wu, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	J	`jnl`	GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments. CoRR Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Improved Algorithms for Effective Resistance Computation on Graphs. CoRR Yichun Yang, Rong-Hua Li, Meihao Liao, Guoren Wang
2025	J	`jnl`	Integral Densest Subgraph Search on Directed Graphs. Proc. ACM Manag. Data Yalong Zhang, Rong-Hua Li, Longlong Lin, Qi Zhang, Lu Qin, Guoren Wang
2025	J	`jnl`	MagicDock: Toward Docking-oriented De Novo Ligand Design via Gradient Inversion. CoRR Zekai Chen, Xunkai Li, Sirui Zhang, Henan Sun, Jia Li, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	NCSAC: Effective Neural Community Search via Attribute-augmented Conductance. CoRR Longlong Lin, Quanao Li, Miao Qiao, Zeli Wang, Jin Zhao, Rong-Hua Li, Xin Luo, Tao Jia
2025	A*	`conf`	On Temporal-Constraint Subgraph Matching. ICDE Xiaoyu Leng, Guang Zeng, Hongchao Qin, Longlong Lin, Rong-Hua Li
2025	J	`jnl`	One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor. Proc. ACM Manag. Data Junjie Zhou, Meihao Liao, Rong-Hua Li, Longlong Lin, Guoren Wang
2025	J	`jnl`	OpenGU: A Comprehensive Benchmark for Graph Unlearning. CoRR Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Optimal (α,β)-Dense Subgraph Search in Bipartite Graphs. CoRR Yalong Zhang, Rong-Hua Li, Qi Zhang, Guoren Wang
2025	J	`jnl`	Provable Higher-Order Graph Clustering: The Power of Peeling-Based Approaches. IEEE Trans. Knowl. Data Eng. Longlong Lin, Zeli Wang, Rong-Hua Li, Qiyu Liu, Hongchao Qin, Jin Zhao
2025	A	`conf`	Rethinking Client-oriented Federated Graph Learning. CIKM Zekai Chen, Xunkai Li, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning. CoRR Xiang Wu, Xunkai Li, Rong-Hua Li, Kangfei Zhao, Guoren Wang
2025	J	`jnl`	Scalable Similarity Search over Large Attributed Bipartite Graphs. CoRR Xi Ou, Longlong Lin, Zeli Wang, Pingpeng Yuan, Rong-Hua Li
2025	J	`jnl`	Scalable and Provable Kemeny Constant Computation on Static and Dynamic Graphs: A 2-Forest Sampling Approach. CoRR Cheng Li, Meihao Liao, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Scaling Up k-Clique Percolation Community Detection. Proc. ACM Manag. Data Yue Zeng, Miao Qiao, Rong-Hua Li, Hongchao Qin, Guoren Wang
2025	J	`jnl`	State Space Models over Directed Graphs. CoRR Junzhi She, Xunkai Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	The Power of Core Clique Removal for Exact Clique Enumeration. Proc. ACM Manag. Data Xiaowei Ye, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Theoretically and Practically Efficient Maximum Biclique Search. Proc. ACM Manag. Data Qiangqiang Dai, Rong-Hua Li, Lianpeng Qiao, Donghang Cui, Guoren Wang
2025	A*	`conf`	Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. ICML Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward Data-centric Directed Graph Learning: An Entropy-driven Approach. CoRR Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang
2025	A*	`conf`	Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. WWW Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach. CoRR Xunkai Li, Daohan Su, Zhengyu Wu, Guang Zeng, Hongchao Qin, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward General Digraph Contrastive Learning: A Dual Spatial Perspective. CoRR Daohan Su, Yang Zhang, Xunkai Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Toward General and Robust LLM-enhanced Text-attributed Graph Learning. CoRR Zihao Zhang, Xunkai Li, Rong-Hua Li, Bing Zhou, Zhenjun Li, Guoren Wang
2025	J	`jnl`	Toward Scalable Graph Unlearning: A Node Influence Maximization based Approach. CoRR Xunkai Li, Bowen Fan, Zhengyu Wu, Zhiyu Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Towards Unbiased Federated Graph Learning: Label and Topology Perspectives. CoRR Zhengyu Wu, Boyang Pang, Xunkai Li, Yinlin Zhu, Daohan Su, Bowen Fan, Rong-Hua Li, Guoren Wang, Chenghu Zhou
2025	A*	`conf`	Triangle Counting Over Signed Graphs with Differential Privacy. ICDE Zening Li, Rong-Hua Li, Fusheng Jin
2025	J	`jnl`	Two Facets of the Same Optimization Coin: Model Degradation and Representation Collapse in Graph Foundation Models. CoRR Xunkai Li, Daohan Su, Sicheng Liu, Ru Zhang, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	Unveiling the Vulnerability of Graph-LLMs: An Interpretable Multi-Dimensional Adversarial Attack on TAGs. CoRR Bowen Fan, Zhilin Guo, Xunkai Li, Yihan Zhou, Bing Zhou, Zhenjun Li, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	When LLM Agents Meet Graph Optimization: An Automated Data Quality Improvement Approach. CoRR Zhihan Zhang, Xunkai Li, Yilong Zuo, Zhaoxin Fan, Zhenjun Li, Bing Zhou, Rong-Hua Li, Guoren Wang
2025	J	`jnl`	When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty. CoRR Yanzhe Wen, Xunkai Li, Qi Zhang, Zhu Lei, Guang Zeng, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. ICDE Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity. CoRR Xunkai Li, Zhengyu Wu, Wentao Zhang, Henan Sun, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. ICDE Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Counting Cohesive Subgraphs with Hereditary Properties. CoRR Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang
2024	J	`jnl`	DiRW: Path-Aware Digraph Learning for Heterophily. CoRR Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Efficient $k$k-Clique Counting on Large Graphs: The Power of Color-Based Sampling Approaches. IEEE Trans. Knowl. Data Eng. Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang
2024	J	`jnl`	Efficient Antagonistic k-plex Enumeration in Signed Graphs. CoRR Lantian Xu, Rong-Hua Li, Dong Wen, Qiangqiang Dai, Guoren Wang, Lu Qin
2024	J	`jnl`	Efficient Maximal Biplex Enumerations with Improved Worst-Case Time Guarantee. Proc. ACM Manag. Data Qiangqiang Dai, Rong-Hua Li, Donghang Cui, Meihao Liao, Yu-Xuan Qiu, Guoren Wang
2024	A*	`conf`	Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach. KDD Xiaowei Ye, Rong-Hua Li, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang
2024	J	`jnl`	Efficient and Provable Effective Resistance Computation on Large Graphs: An Index-based Approach. Proc. ACM Manag. Data Meihao Liao, Junjie Zhou, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Guoren Wang
2024	J	`jnl`	Encoding Group Interests With Persistent Homology for Personalized Search. IEEE Trans. Syst. Man Cybern. Syst. Yuchen Meng, Rong-Hua Li, Hongchao Qin, Xiang Wu, Huanzhong Duan, Yanxiong Lu, Guoren Wang
2024	J	`jnl`	Fast Biclique Counting on Bipartite Graphs: A Node Pivot-based Approach. CoRR Xiaowei Ye, Rong-Hua Li, Longlong Lin, Shaojie Qiao, Guoren Wang
2024	J	`jnl`	FedGTA: Topology-aware Averaging for Federated Graph Learning. CoRR Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. IJCAI Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning. CoRR Yinlin Zhu, Xunkai Li, Zhengyu Wu, Di Wu, Miao Hu, Rong-Hua Li
2024	J	`jnl`	Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks. CoRR Xunkai Li, Zhengyu Wu, Jiayi Wu, Hanwen Cui, Jishuo Jia, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	I/O Efficient Max-Truss Computation in Large Static and Dynamic Graphs. ICDE Jiaqi Jiang, Qi Zhang, Rong-Hua Li, Qiangqiang Dai, Guoren Wang
2024	J	`jnl`	Internal Consistency and Self-Feedback in Large Language Models: A Survey. CoRR Xun Liang, Shichao Song, Zifan Zheng, Hanyu Wang, Qingchen Yu, Xunkai Li, Rong-Hua Li, Feiyu Xiong, Zhiyu Li
2024	J	`jnl`	K-stars LDP: A Novel Framework for (p, q)-clique Enumeration under Local Differential Privacy. CoRR Henan Sun, Zhengyu Wu, Rong-Hua Li, Guoren Wang, Zening Li
2024	J	`jnl`	LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning. CoRR Xunkai Li, Meihao Liao, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Mining Quasi-Periodic Communities in Temporal Network. ICDE Yue Zeng, Hongchao Qin, Rong-Hua Li, Kai Wang, Guoren Wang, Xuemin Lin
2024	J	`jnl`	On Density-based Local Community Search. Proc. ACM Manag. Data Yizhou Dai, Miao Qiao, Rong-Hua Li
2024	J	`jnl`	OpenFGL: A Comprehensive Benchmarks for Federated Graph Learning. CoRR Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. KDD Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li
2024	J	`jnl`	PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. CoRR Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li
2024	A	`conf`	Privacy-Preserving Graph Embedding based on Local Differential Privacy. CIKM Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang
2024	J	`jnl`	QTCS: Efficient Query-Centered Temporal Community Search. Proc. VLDB Endow. Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia
2024	A*	`conf`	Rethinking Node-wise Propagation for Large-scale Graph Learning. WWW Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Rethinking Node-wise Propagation for Large-scale Graph Learning. CoRR Xunkai Li, Jingyuan Ma, Zhengyu Wu, Daohan Su, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach. CoRR Yichun Yang, Rong-Hua Li, Meihao Liao, Longlong Lin, Guoren Wang
2024	J	`jnl`	Towards Data-centric Machine Learning on Directed Graphs: a Survey. CoRR Henan Sun, Xunkai Li, Daohan Su, Junyi Han, Rong-Hua Li, Guoren Wang
2024	A*	`conf`	Towards Effective and General Graph Unlearning via Mutual Evolution. AAAI Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2024	J	`jnl`	Towards Effective and General Graph Unlearning via Mutual Evolution. CoRR Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification. CoRR Henan Sun, Xunkai Li, Zhengyu Wu, Daohan Su, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Computing Significant Cliques in Large Labeled Networks. IEEE Trans. Big Data Yu-Xuan Qiu, Dong Wen, Rong-Hua Li, Lu Qin, Michael Yu, Xuemin Lin
2023	J	`jnl`	Core Decomposition on Uncertain Graphs Revisited. IEEE Trans. Knowl. Data Eng. Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan
2023	J	`jnl`	Densest Periodic Subgraph Mining on Large Temporal Graphs. IEEE Trans. Knowl. Data Eng. Hongchao Qin, Rong-Hua Li, Ye Yuan, Yongheng Dai, Guoren Wang
2023	J	`jnl`	Efficient Biclique Counting in Large Bipartite Graphs. Proc. ACM Manag. Data Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongchao Qin, Guoren Wang
2023	J	`jnl`	Efficient Maximum Fair Clique Search over Large Networks. CoRR Qi Zhang, Rong-Hua Li, Zifan Zheng, Hongchao Qin, Ye Yuan, Guoren Wang
2023	J	`jnl`	Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches. Proc. ACM Manag. Data Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang
2023	J	`jnl`	Efficient Resistance Distance Computation: The Power of Landmark-based Approaches. Proc. ACM Manag. Data Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Hongchao Qin, Guoren Wang
2023	A*	`conf`	Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. ICDE Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai
2023	J	`jnl`	Fairness-Aware Maximal Clique in Large Graphs: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Qun Tian, Guoren Wang
2023	A*	`conf`	Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. ICDE Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs. CoRR Ziqi Yin, Qi Zhang, Wentao Zhang, Rong-Hua Li, Guoren Wang
2023	J	`jnl`	Hereditary Cohesive Subgraphs Enumeration on Bipartite Graphs: The Power of Pivot-based Approaches. Proc. ACM Manag. Data Qiangqiang Dai, Rong-Hua Li, Xiaowei Ye, Meihao Liao, Weipeng Zhang, Guoren Wang
2023	J	`jnl`	Locally Differentially Private Graph Embedding. CoRR Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang
2023	J	`jnl`	Maximal Defective Clique Enumeration. Proc. ACM Manag. Data Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Guoren Wang
2023	J	`jnl`	Maximal Quasi-Cliques Mining in Uncertain Graphs. IEEE Trans. Big Data Lianpeng Qiao, Rong-Hua Li, Zhiwei Zhang, Ye Yuan, Guoren Wang, Hongchao Qin
2023	A*	`conf`	Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. ICDE Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang
2023	J	`jnl`	Parallel Colorful h-star Core Maintenance in Dynamic Graphs. Proc. VLDB Endow. Sen Gao, Hongchao Qin, Rong-Hua Li, Bingsheng He
2023	J	`jnl`	Query-Centered Temporal Community Search via Time-Constrained Personalized PageRank. CoRR Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia
2023	J	`jnl`	Scalable Algorithms for Laplacian Pseudo-inverse Computation. CoRR Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Hongyang Chen, Guoren Wang
2023	J	`jnl`	Stable Subgraph Isomorphism Search in Temporal Networks. IEEE Trans. Knowl. Data Eng. Qi Zhang, Rong-Hua Li, Hongchao Qin, Guoren Wang, Zhiwei Zhang, Ye Yuan
2023	J	`jnl`	Temporal Graph Cube. IEEE Trans. Knowl. Data Eng. Guoren Wang, Yue Zeng, Rong-Hua Li, Hongchao Qin, Xuanhua Shi, Yubin Xia, Xuequn Shang, Liang Hong
2022	J	`jnl`	Approximating Probabilistic Group Steiner Trees in Graphs. Proc. VLDB Endow. Shuang Yang, Yahui Sun, Jiesong Liu, Xiaokui Xiao, Rong-Hua Li, Zhewei Wei
2022	A*	`conf`	Colorful h-star Core Decomposition. ICDE Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang
2022	J	`jnl`	Computing K-Cores in Large Uncertain Graphs: An Index-Based Optimal Approach. IEEE Trans. Knowl. Data Eng. Dong Wen, Bohua Yang, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li
2022	A*	`conf`	Core Decomposition on Uncertain Graphs Revisited (Extended Abstract). ICDE Qiangqiang Dai, Rong-Hua Li, Guoren Wang, Rui Mao, Zhiwei Zhang, Ye Yuan
2022	—	`conf`	Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach. SIGMOD Conference Meihao Liao, Rong-Hua Li, Qiangqiang Dai, Guoren Wang
2022	A*	`conf`	Efficient Top-k Ego-Betweenness Search. ICDE Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan
2022	A*	`conf`	Fairness-aware Maximal Clique Enumeration. ICDE Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang
2022	J	`jnl`	Fast Algorithm for Maximal k-plex Enumeration. CoRR Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang
2022	—	`conf`	Fast Maximal Clique Enumeration on Uncertain Graphs: A Pivot-based Approach. SIGMOD Conference Qiangqiang Dai, Rong-Hua Li, Meihao Liao, Hongzhi Chen, Guoren Wang
2022	A*	`conf`	Filtration-Enhanced Graph Transformation. IJCAI Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang
2022	J	`jnl`	I/O-Efficient Algorithms for Degeneracy Computation on Massive Networks. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Qiushuo Song, Xiaokui Xiao, Lu Qin, Guoren Wang, Jeffrey Xu Yu, Rui Mao
2022	J	`jnl`	Index-Based Intimate-Core Community Search in Large Weighted Graphs. IEEE Trans. Knowl. Data Eng. Longxu Sun, Xin Huang, Rong-Hua Li, Byron Choi, Jianliang Xu
2022	A*	`conf`	Lightning Fast and Space Efficient k-clique Counting. WWW Xiaowei Ye, Rong-Hua Li, Qiangqiang Dai, Hongzhi Chen, Guoren Wang
2022	J	`jnl`	Mining Diversified Top-$r$r Lasting Cohesive Subgraphs on Temporal Networks. IEEE Trans. Big Data Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Hai Jin
2022	—	`conf`	Mining Periodic k-Clique from Real-World Sparse Temporal Networks. APWeb/WAIM (1) Zebin Ren, Hongchao Qin, Rong-Hua Li, Yongheng Dai, Guoren Wang, Yanhui Li
2022	J	`jnl`	Mining Stable Communities in Temporal Networks by Density-Based Clustering. IEEE Trans. Big Data Hongchao Qin, Rong-Hua Li, Guoren Wang, Xin Huang, Ye Yuan, Jeffrey Xu Yu
2022	J	`jnl`	Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin
2022	J	`jnl`	Periodic Communities Mining in Temporal Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Weihua Yang, Lu Qin
2022	J	`jnl`	Scalable and Effective Conductance-based Graph Clustering. CoRR Longlong Lin, Rong-Hua Li, Tao Jia
2022	A	`conf`	Scaling Up Maximal CIKM Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang
2022	J	`jnl`	Target-Aware Holistic Influence Maximization in Spatial Social Networks. IEEE Trans. Knowl. Data Eng. Taotao Cai, Jianxin Li, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu
2021	J	`jnl`	Dynamic Community Evolution Analysis Framework for Large-Scale Complex Networks Based on Strong and Weak Events. IEEE Trans. Syst. Man Cybern. Syst. Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Heli Sun, Xindong Wu
2021	J	`jnl`	Efficient Top-k Ego-Betweenness Search. CoRR Qi Zhang, Rong-Hua Li, Minjia Pan, Yongheng Dai, Guoren Wang, Ye Yuan
2021	J	`jnl`	Fairness-aware Maximal Clique Enumeration. CoRR Minjia Pan, Rong-Hua Li, Qi Zhang, Yongheng Dai, Qun Tian, Guoren Wang
2021	A	`conf`	Scaling Up Distance-generalized Core Decomposition. CIKM Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan
2021	J	`jnl`	Signed Clique Search in Signed Networks: Concepts and Algorithms. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao
2020	—	`conf`	Butterfly-Based Higher-Order Clustering on Bipartite Networks. KSEM (1) Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li
2020	B	`conf`	CFGAT: A Coarse-to-Fine Graph Attention Network for Semi-supervised Node Classification. ICTAI Dongmei Cui, Fusheng Jin, Rong-Hua Li, Guoren Wang
2020	A*	`conf`	Efficient Top-k Edge Structural Diversity Search. ICDE Qi Zhang, Rong-Hua Li, Qixuan Yang, Guoren Wang, Lu Qin
2020	J	`jnl`	Finding skyline communities in multi-valued networks. VLDB J. Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng
2020	J	`jnl`	Scaling Up Distanced-generalized Core Decomposition. CoRR Qiangqiang Dai, Rong-Hua Li, Lu Qin, Guoren Wang, Weihua Yang, Zhiwei Zhang, Ye Yuan
2020	J	`jnl`	Where to go: An effective point-of-interest recommendation framework for heterogeneous social networks. Neurocomputing Xi Xiong, Shaojie Qiao, Nan Han, Fei Xiong, Zhan Bu, Rong-Hua Li, Kun Yue, Guan Yuan
2019	J	`jnl`	ADPDF: A Hybrid Attribute Discrimination Method for Psychometric Data With Fuzziness. IEEE Trans. Syst. Man Cybern. Syst. Xi Xiong, Shaojie Qiao, YuanYuan Li, Haiqing Zhang, Ping Huang, Nan Han, Rong-Hua Li
2019	J	`jnl`	Anti- Appl. Math. Comput. Xiaxia Guan, Shurong Zhang, Rong-Hua Li, Lin Chen, Weihua Yang
2019	J	`jnl`	Direction-based multiple views on data. World Wide Web Xi Guo, Jeffrey Xu Yu, Rong-Hua Li, Xue Miao
2019	A*	`conf`	Discrete Overlapping Community Detection with Pseudo Supervision. ICDM Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, Jeffrey Xu Yu
2019	—	`conf`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. SIGMOD Conference Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	J	`jnl`	Efficient Estimation of Heat Kernel PageRank for Local Clustering. CoRR Renchi Yang, Xiaokui Xiao, Zhewei Wei, Sourav S. Bhowmick, Jun Zhao, Rong-Hua Li
2019	J	`jnl`	Efficient Structural Clustering on Probabilistic Graphs. IEEE Trans. Knowl. Data Eng. Yu-Xuan Qiu, Rong-Hua Li, Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao
2019	J	`jnl`	Evidence-driven dubious decision making in online shopping. World Wide Web Qiao Tian, Jianxin Li, Lu Chen, Ke Deng, Rong-Hua Li, Mark Reynolds, Chengfei Liu
2019	B	`conf`	Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. WISE Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu
2019	J	`jnl`	Fast Algorithms for Intimate-Core Group Search in Weighted Graphs. CoRR Longxu Sun, Xin Huang, Rong-Hua Li, Jianliang Xu
2019	A*	`conf`	Improved Algorithms for Maximal Clique Search in Uncertain Networks. ICDE Rong-Hua Li, Qiangqiang Dai, Guoren Wang, Zhong Ming, Lu Qin, Jeffrey Xu Yu
2019	A*	`conf`	Index-Based Optimal Algorithm for Computing K-Cores in Large Uncertain Graphs. ICDE Bohua Yang, Dong Wen, Lu Qin, Ying Zhang, Lijun Chang, Rong-Hua Li
2019	J	`jnl`	Mining Bursting Communities in Temporal Graphs. CoRR Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Ye Yuan, Zhiwei Zhang
2019	A*	`conf`	Mining Periodic Cliques in Temporal Networks. ICDE Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan
2019	J	`jnl`	Structure fault tolerance of Theor. Comput. Sci. Lu Miao, Shurong Zhang, Rong-Hua Li, Weihua Yang
2018	J	`jnl`	A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization. IEEE Trans. Knowl. Data Eng. Shaojie Qiao, Nan Han, Yunjun Gao, Rong-Hua Li, Jianbin Huang, Jun Guo, Louis Alberto Gutierrez, Xindong Wu
2018	—	`conf`	An Optimized MBE Algorithm on Sparse Bipartite Graphs. SmartCom Yu He, Rong-Hua Li, Rui Mao
2018	J	`jnl`	Discovering Hierarchical Subgraphs of K-Core-Truss. Data Sci. Eng. Zhenjun Li, Yunting Lu, Wei-Peng Zhang, Rong-Hua Li, Jun Guo, Xin Huang, Rui Mao
2018	A*	`conf`	Efficient Signed Clique Search in Signed Networks. ICDE Rong-Hua Li, Qiangqiang Dai, Lu Qin, Guoren Wang, Xiaokui Xiao, Jeffrey Xu Yu, Shaojie Qiao
2018	A*	`conf`	Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks. ICDE Jianxin Li, Taotao Cai, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu
2018	A*	`conf`	Persistent Community Search in Temporal Networks. ICDE Rong-Hua Li, Jiao Su, Lu Qin, Jeffrey Xu Yu, Qiangqiang Dai
2018	J	`jnl`	Predicting Long-Term Trajectories of Connected Vehicles via the Prefix-Projection Technique. IEEE Trans. Intell. Transp. Syst. Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, Xindong Wu
2018	—	`conf`	Skyline Community Search in Multi-valued Networks. SIGMOD Conference Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, Zibin Zheng
2018	J	`jnl`	SocialMix: A familiarity-based and preference-aware location suggestion approach. Eng. Appl. Artif. Intell. Shaojie Qiao, Nan Han, Jiliu Zhou, Rong-Hua Li, Cheqing Jin, Louis Alberto Gutierrez
2017	—	`conf`	Discovering Hierarchical Subgraphs of K-Core-Truss. WISE (1) Zhenjun Li, Wei-Peng Zhang, Rong-Hua Li, Jun Guo, Xin Huang, Rui Mao
2017	—	`conf`	Efficient Order-Sensitive Activity Trajectory Search. WISE (1) Kaiyang Guo, Rong-Hua Li, Shaojie Qiao, Zhenjun Li, Weipeng Zhang, Minhua Lu
2017	J	`jnl`	Efficient distance-based representative skyline computation in 2D space. World Wide Web Rui Mao, Taotao Cai, Rong-Hua Li, Jeffrey Xu Yu, Jianxin Li
2017	J	`jnl`	Finding influential communities in massive networks. VLDB J. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao
2017	J	`jnl`	Finding weighted k-truss communities in large networks. Inf. Sci. Zibin Zheng, Fanghua Ye, Rong-Hua Li, Guohui Ling, Tan Jin
2017	—	`conf`	Incremental Structural Clustering for Dynamic Networks. WISE (1) Yazhong Chen, Rong-Hua Li, Qiangqiang Dai, Zhenjun Li, Shaojie Qiao, Rui Mao
2017	—	`conf`	Querying Intimate-Core Groups in Weighted Graphs. ICSC Dong Zheng, Jianquan Liu, Rong-Hua Li, Çigdem Aslay, Yi-Cheng Chen, Xin Huang
2016	—	`conf`	Efficient and Progressive Group Steiner Tree Search. SIGMOD Conference Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao
2016	J	`jnl`	Exploring Hierarchies in Online Social Networks. IEEE Trans. Knowl. Data Eng. Can Lu, Jeffrey Xu Yu, Rong-Hua Li, Hao Wei
2016	J	`jnl`	Optimal Multi-Meeting-Point Route Search. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao
2016	J	`jnl`	Recursive Stratified Sampling: A New Framework for Query Evaluation on Uncertain Graphs. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin
2015	J	`jnl`	A topic-biased user reputation model in rating systems. Knowl. Inf. Syst. Baichuan Li, Rong-Hua Li, Irwin King, Michael R. Lyu, Jeffrey Xu Yu
2015	C	`conf`	Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Space. APWeb Taotao Cai, Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Yadi Cai
2015	J	`jnl`	Exploring Hierarchies in Online Social Networks. CoRR Can Lu, Jeffrey Xu Yu, Rong-Hua Li, Hao Wei
2015	J	`jnl`	Influential Community Search in Large Networks. Proc. VLDB Endow. Rong-Hua Li, Lu Qin, Jeffrey Xu Yu, Rui Mao
2015	A*	`conf`	Locally Densest Subgraph Discovery. KDD Lu Qin, Rong-Hua Li, Lijun Chang, Chengqi Zhang
2015	A*	`conf`	On random walk based graph sampling. ICDE Rong-Hua Li, Jeffrey Xu Yu, Lu Qin, Rui Mao, Tan Jin
2015	J	`jnl`	Top-K structural diversity search in large networks. VLDB J. Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu
2015	J	`jnl`	Triangle minimization in large networks. Knowl. Inf. Syst. Rong-Hua Li, Jeffrey Xu Yu
2014	J	`jnl`	Efficient Core Maintenance in Large Dynamic Graphs. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Jeffrey Xu Yu, Rui Mao
2014	A*	`conf`	Efficient and accurate query evaluation on uncertain graphs via recursive stratified sampling. ICDE Rong-Hua Li, Jeffrey Xu Yu, Rui Mao, Tan Jin
2014	J	`jnl`	Measuring the impact of MVC attack in large complex networks. Inf. Sci. Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang
2014	A*	`conf`	Random-walk domination in large graphs. ICDE Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2013	J	`jnl`	Co-occurrence prediction in a large location-based social network. Frontiers Comput. Sci. Rong-Hua Li, Jianquan Liu, Jeffrey Xu Yu, Hanxiong Chen, Hiroyuki Kitagawa
2013	J	`jnl`	Random-walk domination in large graphs: problem definitions and fast solutions CoRR Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2013	J	`jnl`	Scalable Diversified Ranking on Large Graphs. IEEE Trans. Knowl. Data Eng. Rong-Hua Li, Jeffrey Xu Yu
2013	J	`jnl`	Top-K Structural Diversity Search in Large Networks. Proc. VLDB Endow. Xin Huang, Hong Cheng, Rong-Hua Li, Lu Qin, Jeffrey Xu Yu
2012	J	`jnl`	A Framework of Algorithms: Computing the Bias and Prestige of Nodes in Trust Networks CoRR Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2012	J	`jnl`	Cognitive Garment Panel Design Based on BSG Representation and Matching. Int. J. Softw. Sci. Comput. Intell. Shuang Liang, Rong-Hua Li, George Baciu
2012	J	`jnl`	Efficient Core Maintenance in Large Dynamic Graphs CoRR Rong-Hua Li, Jeffrey Xu Yu
2012	J	`jnl`	Estimating Node Influenceability in Social Networks CoRR Rong-Hua Li, Jeffrey Xu Yu, Zechao Shang
2012	J	`jnl`	Evolution of cooperation in spatial traveler's dilemma game CoRR Rong-Hua Li, Jeffrey Xu Yu, Jiyuan Lin
2012	A	`conf`	Measuring robustness of complex networks under MVC attack. CIKM Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng, Zechao Shang
2012	A	`conf`	Robust Reputation-Based Ranking on Bipartite Rating Networks. SDM Rong-Hua Li, Jeffrey Xu Yu, Xin Huang, Hong Cheng
2011	—	`conf`	A graph modeling and matching method for sketch-based garment panel design. IEEE ICCI*CC Shuang Liang, Rong-Hua Li, George Baciu
2011	J	`jnl`	Equivalence Between LDA/QR and Direct LDA. Int. J. Cogn. Informatics Nat. Intell. Rong-Hua Li, Shuang Liang, George Baciu, Eddie C. L. Chan
2011	A	`conf`	Link prediction: the power of maximal entropy random walk. CIKM Rong-Hua Li, Jeffrey Xu Yu, Jianquan Liu
2011	A*	`conf`	Scalable Diversified Ranking on Large Graphs. ICDM Rong-Hua Li, Jeffrey Xu Yu
2010	J	`jnl`	A visual attention model for robot object tracking. Int. J. Autom. Comput. Jinkui Chu, Rong-Hua Li, Qing-Ying Li, Hongbin Wang
2010	—	`conf`	Cognitive garment design interface using user behavior tree model. IEEE ICCI Shuang Liang, Eddie C. L. Chan, George Baciu, Rong-Hua Li
2010	—	`conf`	DLDA and LDA/QR equivalence framework for human face recognition. IEEE ICCI Rong-Hua Li, Eddie C. L. Chan, George Baciu
2010	—	`conf`	Partial matching of garment panel shapes with dynamic sketching design. AH Shuang Liang, Rong-Hua Li, George Baciu, Eddie C. L. Chan, Dejun Zheng
2009	—	`conf`	Pseudo-inverse Locality Preserving Projections. CIS (1) Rong-Hua Li, Zhiping Luo, Guoqiang Han
2007	J	`jnl`	A Protocol for a Private Set-Operation. J. Comput. Sci. Technol. Rong-Hua Li, Chuan-Kun Wu