高军

主要研究方向

目前的研究重点在于深度图神经网络、强化学习、语言模型等应用研究，尤其是深度网络和数据管理技术的结合、和社交网络分析的结合，和异常分析的结合。

科研课题

l 自然基金课题，基于异构图神经网络的网络空间行为分析，2023-2026
l 北大-电信合作项目，数据编织关键技术，2023.1-2023.12
l 北大-华为合作项目，基于强化学习的查询调度，2023.1-2023.12
l 北大-中兴合作项目，自适应性数据库学习优化器，2022.11-2023.11
l 北大-中兴合作项目，数据库学习优化器，2021.11-2022.11
l 北大国家重点研发课题，基于图神经网络的社交网络分析，2019-2021
l 国家重点研发课题，基于图神经网络的社交网络分析，2019-2021
l 之江实验室开放项目，基于图神经网络的异常实体发现，2019-2021
l 自然基金重点课题，新型数据管理系统，2019-2023
l 北大-阿里巴巴合作项目，多智能体机器学习，2019.3-2020.3

负责课程

• 数据库概念，本科生实验班

• 数据库原理与技术 研究生课程

  
  

部分毕业学生

• 周畅：阿里巴巴

• 白金泽：阿里巴巴

• 宋军帅：腾讯，拼多多

Selected Publications

Tianyi Chen, Jun Gao, Hedui Chen, Yaofen Tu. LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans. Accepted by VLDB 2023
Jianzun Chen, Yikuan Xia, Jun Gao.  CommunityAF: An Example-based Community Search Method via  Autoregressive Flow. Accepted by VLDB 2023
Jialin Wang, Xiaoru Qu, Jinze Bai, Zhao Li, Ji Zhang, Jun Gao: SAGES: Scalable Attributed Graph Embedding With Sampling for Unsupervised Learning. IEEE Trans. Knowl. Data Eng. 35(5): 5216-5229 (2023)
Jiazun Chen, Jun Gao, Bin Cui: ICS-GNN+: lightweight interactive community search via graph neural network. VLDB J. 32(2): 447-467 (2023)
Li Zheng, Zhao Li, Jun Gao, Zhenpeng Li, Jia Wu, Chuan Zhou: Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce. ECIR (2) 2023: 304-318
Zhao Li, Junshuai Song, Zehong Hu, Zhen Wang, Jun Gao: Constrained Dual-Level Bandit for Personalized Impression Regulation in Online Ranking Systems. ACM Trans. Knowl. Discov. Data 16(2): 23:1-23:23 (2022)
Wentao Zhang, Zeang Sheng, Ziqi Yin, Yuezihan Jiang, Yikuan Xia, Jun Gao, Zhi Yang, Bin Cui: Model Degradation Hinders Deep Graph Neural Networks. KDD 2022: 2493-2503
Jiazun Chen, Jun Gao: VICS-GNN: A Visual Interactive System for Community Search via Graph Neural Network. ICDE 2022: 3150-3153
Junshuai Song, Xiaoru Qu, Zehong Hu, Zhao Li, Jun Gao, Ji Zhang: A subgraph-based knowledge reasoning method for collective fraud detection in E-commerce. Neurocomputing 461: 587-597 (2021)
Jun Gao, Jiazun Chen, Zhao Li, and Ji Zhang. ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. PVLDB, 14(6):1006 - 1018, 2021.
Jinze Bai, Jialin Wang, Zhao Li*, Donghui Ding, Ji Zhang, Jun Gao. ATJ-Net: Auto-Table-Join Network for Automatic Learning on Relational Databases. In Proc. of WWW 2021
Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao*: Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. In Proc. of CIKM, 2020, Pages 2693-2700.
Jinze Bai, Jialin Wang, Zhao Li, Donghui Ding, Jiaming Huang, Pengrui Hui, Jun Gao, Ji Zhang, and Zujie Ren. Recommendation on Heterogeneous Information Network with Type-sensitive Sampling. In Proc. of DASFAA, 2020, Pages 673-684. CCF B
Junshuai Song, Zhao Li, Zehong Hu, Yucheng Wu, Zhenpeng Li, Jian Li and Jun Gao. PoisonRec: An Adaptive Data Poisoning Framework for Attacking Black-box Recommender Systems. In Proc of ICDE 2020
Zhao Li, Junshuai Song, Shichang Hu, Shasha Ruan, Long Zhang, Zehong Hu, Jun Gao: FAIR: Fraud Aware Impression Regulation System in Large-Scale Real-Time E-Commerce Search Platform. ICDE 2019: 1898-1903
Li Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao: AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. IJCAI 2019: 4419-4425
Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao: Personalized Bundle List Recommendation. WWW 2019: 60-71
Junshuai Song, Xiongcai Luo, Jun Gao, Chang Zhou, Hu Wei, Jeffrey Xu Yu: UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. IEEE Trans. Knowl. Data Eng. 30(5): 992-1006 (2018)
Chang Zhou, Jinze Bai, Junshuai Song, Xiaofei Liu, Zhengchao Zhao, Xiusi Chen, Jun Gao: ATRank: An Attention-Based User Behavior Modeling Framework for Recommendation. AAAI 2018