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老版大阳城网站-阿里巴巴合作项目，多智能体机器学习，2019.3-2020.3
l老版大阳城网站-阿里巴巴合作项目，图神经网络关键技术研究，2018.3-2019.3
l老版大阳城网站-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老版大阳城网站-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
lJun 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.
lJinze 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
lXiaoru 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.
lJinze 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
lJunshuai 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
lZhao 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
lLi Zheng, Zhenpeng Li, Jian Li, Zhao Li, Jun Gao: AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN. IJCAI 2019: 4419-4425
lJinze Bai, Chang Zhou, Junshuai Song, Xiaoru Qu, Weiting An, Zhao Li, Jun Gao: Personalized Bundle List Recommendation. WWW 2019: 60-71
lJunshuai 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)
lChang 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
lJun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu: Jun Gao, Yuqiong Liu, Chang Zhou, Jeffrey Xu Yu. VLDB J,2017
lXiongcai Luo, Jun Gao, Chang Zhou, Jeffery Xu Yu. UniWalk: Unidirectional Random Walk Based Scalable SimRank Computation over Large Graph. ICDE 2017.
lChang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu and Jun Gao(*). Scalable Graph Embedding For Asymmetric Proximity, in AAAI 2017.
lYuqiong Liu, Chang Zhou, Jun Gao, Zhiguo Fan: GiraphAsync: Supporting Online and Offline Graph Processing via Adaptive Asynchronous Message Processing. CIKM 2016: 479-488
lJun Gao, Chang Zhou, Jeffrey Xu Yu: Toward continuous pattern detection over evolving large graph with snapshot isolation. VLDB J. 25(2): 269-290 (2016)
lJun Gao, Jiashuai Zhou, Jeffrey Xu Yu, Tengjiao Wang:Shortest Path Computing in Relational DBMSs. IEEE Trans. Knowl. Data Eng. 26(4): 997-1011 (2014)
lJun Gao, Jiashuai Zhou, Chang Zhou, Jeffrey Xu Yu: GLog: A high level graph analysis system using MapReduce. ICDE 2014: 544-555
lJun Gao, Chang Zhou, Jiashuai Zhou, Jeffrey Xu Yu: Continuous pattern detection over billion-edge graph using distributed framework. ICDE 2014: 556-567
lChang Zhou, Jun Gao, Binbin Sun, Jeffrey Xu Yu:MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing. PVLDB 8(4): 377-388 (2014)
lJun 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)
lJun 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)
lJun 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)
lJun 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
lJun Gao, Huida Qiu, Xiao Jiang, Tengjiao Wang, Dongqing Yang: Fast top-k simple shortest paths discovery in graphs. CIKM 2010: 509-518
