主要研究方向
分布式数据管理、图数据深度学习和应用
目前的研究重点在于图神经网络的关键技术和系统框架，以及图神经网络在购物网络、社交网络中的推荐、异常检测等应用，组内基础环境和研究氛围良好，多名同学硕转博。
欢迎对此方向感兴趣、有志于攻读博士学位的同学联系。希望同学责任心强，动手能力强，思路清晰。
两位博士毕业生获评阿里星。
主要科研项目
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
l 北大-阿里巴巴合作项目，图神经网络关键技术研究，2018.3-2019.3
l 北大-阿里巴巴合作项目，基于大规模图计算的商家大数据算法应用研究（二期），2017.3-2018.3
l 国家重点研发计划，大数据驱动的航天航空装备创新研发与应用示范 --制造业图数据管理关键技术研究及系统研制，2016.7-2019.7
l 国家自然科学基金，大规模图数据集成关键技术，2016.01-2019.12
l 深圳市基础研究项目，大规模高扩展的图数据管理分析方法研究，2016.01-2018.12
l 北大-阿里巴巴合作项目，基于大规模图计算的商家大数据算法应用研究，2016.3-2017.3
l 华为创新研究计划，大数据环境下社会网络图数据查询的理论与算法研究，2014.01 -2014.12
l 国家自然科学基金，基于分布式计算框架的大图数据描述性查询关键技术研究，2013.01-2016.12
主要学术任职
中国计算机学数据库专业委员会委员
Selected Publications
l Jun Gao, Jiazun Chen(2021年9月博士生入学), Zhao Li, and Ji Zhang. ICS-GNN: Lightweight Interactive Community Search via Graph Neural Network. PVLDB, 14(6):1006 - 1018, 2021.
l 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
l 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.
l 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
l 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
l 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
l 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
l Jinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao: Personalized Bundle List Recommendation. WWW 2019: 60-71
l 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)
l 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
l Jun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu: Jun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu. VLDB J,2017
l Xiongcai Luo, Jun Gao, Chang Zhou, Jeffery Xu Yu. UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. ICDE 2017.
l Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu and Jun Gao(*). Scalable Graph Embedding For Asymmetric Proximity, in AAAI 2017.
l Yuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan: GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. CIKM 2016: 479-488
l Jun Gao, Chang Zhou, Jeffrey Xu Yu: Toward continuous pattern detection over evolving large graph with snapshot isolation. VLDB J. 25(2): 269-290 (2016)
l Jun Gao, Jiashuai Zhou, Jeffrey Xu Yu, Tengjiao Wang:Shortest Path Computing in Relational DBMSs. IEEE Trans. Knowl. Data Eng. 26(4): 997-1011 (2014)
l Jun Gao, Jiashuai Zhou, Chang Zhou, Jeffrey Xu Yu: GLog: A high level graph analysis system using MapReduce. ICDE 2014: 544-555
l Jun Gao, Chang Zhou, Jiashuai Zhou, Jeffrey Xu Yu: Continuous pattern detection over billion-edge graph using distributed framework. ICDE 2014: 556-567
l Chang Zhou, Jun Gao, Binbin Sun, Jeffrey Xu Yu:MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing. PVLDB 8(4): 377-388 (2014)
l Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang: Outsourcing shortest distance computing with privacy protection. VLDB J. 22(4): 543-559 (2013)
l Jun Gao, Jeffrey Xu Yu, Huida Qiu, Xiao Jiang, Tengjiao Wang, Dongqing Yang:Holistic Top-k Simple Shortest Path Join in Graphs. IEEE Trans. Knowl. Data Eng. 24(4): 665-677 (2012)
l Jun Gao, Ruoming Jin, Jiashuai Zhou, Jeffrey Xu Yu, Xiao Jiang, Tengjiao Wang: Relational Approach for Shortest Path Discovery over Large Graphs. PVLDB 5(4): 358-369 (2011)
l Jun Gao, Jeffrey Xu Yu, Ruoming Jin, Jiashuai Zhou, Tengjiao Wang, Dongqing Yang: Neighborhood-privacy protected shortest distance computing in cloud. SIGMOD Conference 2011: 409-420
l Jun Gao, Huida Qiu, Xiao Jiang, Tengjiao Wang, Dongqing Yang: Fast top-k simple shortest paths discovery in graphs. CIKM 2010: 509-518
