秦宏超 - 北京理工大学

个人简介

秦宏超，预聘助理教授、特别副研究员，硕士生导师。2013年、2015、2020年于东北大学获得学士、硕士和博士学位。2020-2022在北京理工大学从事博士后工作，2016年在新加坡管理大学担任研究助理。主要研究方向包括社区挖掘、新型图挖掘、知识图谱等。至今录用/发表了论文二十余篇，在SIGMOD、VLDB、ICDE、IEEE TKDE等CCF A类期刊/会议发表论文十余篇。主持/参与多项国家自然科学基金和国家重点研发计划课题。担任TKDE、KAIS、ICDE等期刊/会议的审稿人。承担科研情况国家自然科学基金青年基金：面向时序超图的稠密子图挖掘技术研究，主持国家重点研发计划项目子课题：基于云边端协同的智能产线管控理论和方法研究，主持科技创新2030-重大项目：亿级节点时序图谱实时智能分析关键技术与系统，参与国家自然科学基金联合重点基金：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，参与 CCF-华为胡杨林基金：面向时序超图的稠密子图挖掘技术研究，参与腾讯犀牛鸟微信专项：基于用户行为的搜索个性化排序，参与

研究领域

社区挖掘、新型图挖掘、知识图谱、数据库系统、新硬件计算系统等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Lu Qin, Zhiwei Zhang: Mining Bursting Core in Large Temporal Graph. PVLDB 15(13): 3911 - 3923. (CCF A) Hongchao Qin, Rong-Hua Li, Ye Yuan, Guoren Wang, Yongheng Dai: Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach. To appear in ICDE 2023. (CCF A) Hongchao Qin, Rong-Hua Li, Ye Yuan, Yongheng Dai, Guoren Wang : Densest Periodic Subgraph Mining on Large Temporal Graphs. Accept by IEEE Trans. Knowl. Data Eng. (CCF A) 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). (CCF A) Hongchao Qin, Rong-Hua Li, Guoren Wang, Lu Qin, Yurong Cheng, Ye Yuan. Mining Periodic Cliques in Temporal Networks. ICDE 2019: 1130-1141. (CCF A) 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). (JCR Q1) Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Group Identity Matching Across Heterogeneous Social Networks. WISE 2018: 230-246. (CCF C) Hongchao Qin, Ye Yuan, Feida Zhu, Guoren Wang. Efficient Community Maintenance for Dynamic Social Networks. APWeb 2016: 478-482. (CCF C) Xiaowei Ye, Rong-Hua Li, Qiangqiang dai, Hongchao Qin, Guoren Wang. Efficient Biclique Counting in Large Bipartite Graphs. SIGMOD 2023. (CCF A) 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. (CCF A) 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. (CCF A) 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.: DOI: 10.1109/TKDE.2022.3175800. (CCF A) Qi Zhang, Rong-Hua Li, Hongchao Qin, Yongheng Dai, Ye Yuan, Guoren Wang: Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications. To appear in ICDE 2023. (CCF A) Sen Gao, Rong-Hua Li, Hongchao Qin, Hongzhi Chen, Ye Yuan, Guoren Wang: Colorful h-star Core Decomposition. ICDE 2022: 2588-2601. (CCF A) Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang: Filtration-Enhanced Graph Transformation. IJCAI 2022: 1987-1993. (CCF A) Qiangqiang Dai, Rong-Hua Li, Hongchao Qin, Meihao Liao, Guoren Wang: Scaling Up Maximal k-plex Enumeration. CIKM 2022: 345-354. (CCF B) Zebin Ren, Hongchao Qin, Rong-Hua Li, Yongheng Dai, Guoren Wang, Yanhui Li: Mining Periodic k-Clique from Real-World Sparse Temporal Networks. To appear in APWeb/WAIM 2022. (CCF C) Yi Zheng, Hongchao Qin, Jun Zheng, Fusheng Jin, Rong-Hua Li: Butterfly-Based Higher-Order Clustering on Bipartite Networks. KSEM (1) 2020: 485-497. (CCF C)