职称：教授
联系电话：
E-mail：lironghuabit@126.com
通信地址：北京市海淀区中关村南大街5号中心教学楼1233
个人信息
李荣华，男，博士，教授，博士生导师，国家级青年人才。李博士于2013年毕业于香港中文大学，同年9月入职深圳大学计算机与软件学院，后于2018年3月加入北京理工大学计算机学院。他长期致力于图数据管理与挖掘、图论算法设计与分析、谱图理论的基础研究，并系统性地开展了知识图谱、图学习与大模型、高维向量检索及其在金融、制造、生命科学等交叉领域的应用研究。至今，他已在相关领域发表CCF A类长文100多篇，研究成果荣获CCF自然科学二等奖、中国电子学会自然科学一等奖等。在人才培养方面，其指导的博士生荣获“CCF优博”、“博新计划”等荣誉。在科研项目方面，他主持了国家自然科学联合基金重点项目、面上项目及国家重点研发计划课题等。具体信息详见个人主页(https://ronghuali.github.io)和实验室主页(https://gdilab.cn)。
News: 每年计划招收博士生1人、硕士研究生3-4人，同时也欢迎优秀的高年级本科生加入实验室，表现优秀者将推荐至美国、澳洲、新加坡、中国香港等地继续深造 （注：符合以下条件之一的申请人将获优先考虑：1. 踏实勤奋、自我驱动力强；2. 拥有ACM-ICPC等程序设计竞赛经验）。有意加入本课题组的学生请将个人简历发送至： lironghuabit@126.com
科研方向
图数据管理与挖掘，图论算法的设计与分析、谱图理论、向量检索、知识图谱、图学习与大模型、大模型Agent、大模型RAG、AI4Science、图计算及其在金融、制造、生命科学等交叉领域的应用。
代表性学术成果
Enjun Du(本科生), Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li*, Guoren Wang. GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments. NeurIPS 2025 (Spotlight).
Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Zhu Lei, Guang Zeng, Rong-Hua Li*, Guoren Wang. OpenGU: A Comprehensive Benchmark for Graph Unlearning. NeurIPS 2025.
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.
Yichun Yang, Rong-Hua Li*, Meihao Liao, Guoren Wang. Improved Algorithms for Effective Resistance Computation on Graphs. COLT 2025.
Meihao Liao, Cheng Li, Rong-Hua Li*, Guoren Wang. Efficient Index Maintenance for Effective Resistance Computation on Evolving Graphs. SIGMOD 2025.
Yalong Zhang(本科生), Rong-Hua Li*, Qi Zhang, Hongchao Qin, Lu Qin, Guoren Wang. Density Decomposition of Bipartite Graphs. SIGMOD 2025.
Yalong Zhang(本科生), Rong-Hua Li*, Longlong Lin, Qi Zhang, Lu Qin, Guoren Wang. Integral Densest Subgraph Search on Directed Graphs. SIGMOD 2025.
Qiangqiang Dai, Rong-Hua Li*, Donghang Cui, Guoren Wang. Theoretically and Practically Efficient Maximum Defective Clique Search. SIGMOD 2025.
Hongchao Qin, Guang Zeng, Rong-Hua Li*, Longlong Lin, Ye Yuan, Guoren Wang*. Truss Decomposition in Hypergraphs. VLDB 2025.
Qi Zhang, Yalong Zhang(本科生), Rong-Hua Li*, Guoren Wang. Approximate Anchored Densest Subgraph Search on Large Static and Dynamic Graphs. VLDB 2025.
Xunkai Li, Yinlin Zhu, Boyang Pang, Guochen Yan, Yeyu Yan, Zening Li, Zhengyu Wu, Wentao Zhang, Rong-Hua Li*, Guoren Wang. OpenFGL: A Comprehensive Benchmark for Federated Graph Learning. VLDB 2025.
Yuchen Meng, Rong-Hua Li*, Longlong Lin, Xunkai Li, Guoren Wang. Topology-preserving Graph Coarsening: An Elementary Collapse-based Approach. VLDB 2025.
Rong-Hua Li, Xiaowei Ye, Fusheng Jin, Yu-Ping Wang, Ye Yuan, Guoren Wang. Counting Cohesive Subgraphs with Hereditary Properties. WWW 2025.
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.
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. SIGMOD 2024.
Qiangqiang Dai, Rong-Hua Li*, Donghang Cui, Meihao Liao, Yu-Xuan Qiu, Guoren Wang. Efficient Maximal Biplex Enumerations with Improved Worst-Case Time Guarantee. SIGMOD 2024.
Yalong Zhang(本科生), Rong-Hua Li*, Qi Zhang, Hongchao Qin, Guoren Wang. Efficient Algorithms for Density Decomposition on Large Static and Dynamic Graphs. VLDB 2024.
Yalong Zhang(本科生), Rong-Hua Li*, Qi Zhang, Hongchao Qin, Lu Qin, Guoren Wang. Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs. VLDB 2024.
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. VLDB 2024.
Longlong Lin, Pingpeng Yuan*, Rong-Hua Li*, Chunxue Zhu, Hongchao Qin, Hai Jin, Tao Jia. QTCS: Efficient Query-Centered Temporal Community Search, VLDB 2024.
Xiaowei Ye, Rong-Hua Li*, Lei Liang, Zhizhen Liu, Longlong Lin, Guoren Wang. Efficient and Effective Anchored Densest Subgraph Search: A Convex-programming based Approach. KDD 2024.
Longlong Lin, Tao Jia, Zeli Wang, Jin Zhao, Rong-Hua Li*. PSMC: Provable and Scalable Algorithms for Motif Conductance Based Graph Clustering. KDD 2024.
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.
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.
Xunkai Li, Zhengyu Wu, Wentao Zhang, Yinlin Zhu, Rong-Hua Li*, Guoren Wang. FedGTA: Topology-aware Averaging for Federated Graph Learning. VLDB 2023.
Sen Gao, Hongchao Qin, Rong-Hua Li*, Bingsheng He. Parallel Colorful h-star Core Maintenance in Dynamic Graphs. VLDB 2023.
承担科研情况
1. 基于原生图模型的分布式图存储和图计算方法与技术研究，国家自然科学基金联合基金重点项目
2. 云边端协同管控系统的体系架构与安全评估，国家重点研发计划课题
3. 面向大规模时序图数据的子图匹配查询处理研究，国家自然科学基金面上项目
4. 面向大规模时态图数据的社区搜索关键技术研究，国家自然科学基金面上项目
5. 大规模图数据的最大k边连通子图查询处理研究，国家自然科学基金青年基金项目
所获奖励
中国电子学会自然一等奖，2024
中国计算机学会自然二等奖，2023
日内瓦国际发明金奖，2024
纽伦堡国际发明金奖，2024
国家教学成果二等奖，2023
北京市教学成果一等奖，2022
指导博士生获得CCF优博和博新计划
指导学生获得Oceanbase数据库大赛冠军