赵康菲 - 北京理工大学

个人简介

赵康菲，北京理工大学准聘教授、博士生导师，入选国家高层次人才。2014于中国科学技术大学计算机学院获工学学士学位，2019年于香港中文大学系统工程与工程管理学系获博士学位。2023年加入北京理工大学，此前先后于香港中文大学担任博士后研究员、腾讯人工智能实验室（Tencent AI Lab）担任高级研究员。主要研究方向为数据库、数据挖掘、人工智能。已发表计算机学会(CCF)推荐A类论文近20篇，其中包括数据库及数据挖掘领域顶级会议ACM SIGMOD、VLDB、ICDE, NeurIPS, 以及顶级期刊VLDB Journal、TKDE等。所获奖励 NeurIPS 2022 Open Catalyst Challenge, 1st Winner, 2022 Google China Anita Borg Scholarship (30 in China Mainland) , 2013 社会兼职程序委员：DASFAA’20, DASFAA’23, WSDM’22, PAKDD’21, PAKDD’22, VLDB’22, VLDB’24, KDD’22, KDD’23 CIKM’22, ICDE’23 审稿人：EEE TKDE, IEEE TPAMI, Information Science

研究领域

ML/DL for Graphs and Database System, In-Databases ML Graph Analytics, Graph Data Management, Graph Algorithms

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）

ICDE Community Search: A Meta Learning Approach Shuheng Fang, Kangfei Zhao, Guanghua Li, and 1 more author In 39th IEEE International Conference on Data Engineering, ICDE 2023 2023 ICDE Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport Jianheng Tang, Weiqi Zhang, Jiajin Li, and 3 more authors In 39th IEEE International Conference on Data Engineering, ICDE 2023 2023 VLDB Journal Learned sketch for subgraph counting: a holistic approach Kangfei Zhao, Jeffrey Xu Yu, Qiyan Li, and 2 more authors The VLDB Journal 2023 TKDE Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling Lingling Zhang, Zhiwei Zhang, Guoren Wang, and 2 more authors IEEE Transactions on Knowledge and Data Engineering 2023 DASFAA Learning with Small Data: Subgraph Counting Queries Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, and 1 more author In Database Systems for Advanced Applications - 26th International Conference, DASFAA 2023, Proceedings, Part II 2023 TKDE Finding Critical Users in Social Communities via Graph Convolutions Kangfei Zhao, Zhiwei Zhang, Yu Rong, and 2 more authors IEEE Trans. Knowl. Data Eng. 2023 VLDB Query Driven-Graph Neural Networks for Community Search: From Non-Attributed, Attributed, to Interactive Attributed Yuli Jiang, Yu Rong, Hong Cheng, and 3 more authors Proc. VLDB Endow. 2022 ICDE Demo How Learning Can Help Complex Cyclic Join Decomposition Hao Zhang, Qiyan Li, Kangfei Zhao, and 2 more authors In 38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022 2022 SIGMOD Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process Kangfei Zhao, Jeffrey Xu Yu, Zongyan He, and 2 more authors In SIGMOD ’22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022 2022 SIGMOD Parallel Query Processing: To Separate Communication from Computation Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, and 1 more author In SIGMOD ’22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022 2022 TKDE SQL-G: Efficient Graph Analytics by SQL Kangfei Zhao, Jiao Su, Jeffrey Xu Yu, and 1 more author IEEE Trans. Knowl. Data Eng. 2021 DASFAA Towards Expectation-Maximization by SQL in RDBMS Kangfei Zhao, Jeffrey Xu Yu, Yu Rong, and 2 more authors In Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part II 2021 IJCNN Towards Feature-free TSP Solver Selection: A Deep Learning Approach Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, and 1 more author In International Joint Conference on Neural Networks, IJCNN 2021, Shenzhen, China, July 18-22, 2021 2021 SIGMOD A Learned Sketch for Subgraph Counting Kangfei Zhao, Jeffrey Xu Yu, Hao Zhang, and 2 more authors In SIGMOD ’21: International Conference on Management of Data, Virtual Event, China, June 20-25, 2021 2021 WISE Graph Ordering: Towards the Optimal by Learning Kangfei Zhao, Yu Rong, Jeffrey Xu Yu, and 3 more authors In Web Information Systems Engineering - WISE 2021 - 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26-29, 2021, Proceedings, Part I 2021 VLDB Distributed Subgraph Counting: A General Approach Hao Zhang, Jeffrey Xu Yu, Yikai Zhang, and 2 more authors Proc. VLDB Endow. 2020 NeurIPS Dirichlet Graph Variational Autoencoder Jia Li, Jianwei Yu, Jiajin Li, and 5 more authors In Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual 2020 Inf. Sci. Interactive natural language question answering over knowledge graphs Weiguo Zheng, Hong Cheng, Jeffrey Xu Yu, and 2 more authors Inf. Sci. 2019 CIKM Natural Language Question/Answering: Let Users Talk With The Knowledge Graph Weiguo Zheng, Hong Cheng, Lei Zou, and 2 more authors In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017 2017 SIGMOD All-in-One: Graph Processing in RDBMSs Revisited Kangfei Zhao, and Jeffrey Xu Yu In Proceedings of the 2017 ACM International Conference on Management of Data, SIGMOD Conference 2017, Chicago, IL, USA, May 14-19, 2017 2017 Data Eng. Bull. Graph Processing in RDBMSs Kangfei Zhao, and Jeffrey Xu Yu IEEE Data Eng. Bull. 2017