主要研究方向
分布式數據管理、圖數據深度學習和應用
目前的研究重點在于圖神經網絡的關鍵技術和系統框架，以及圖神經網絡在購物網絡、社交網絡中的推薦、異常檢測等應用，組内基礎環境和研究氛圍良好，多名同學碩轉博。
歡迎對此方向感興趣、有志于攻讀博士學位的同學聯系。希望同學責任心強，動手能力強，思路清晰。
兩位博士畢業生獲評阿裡星。
主要科研項目
l國家重點研發課題，基于圖神經網絡的社交網絡分析，2019-2021
l之江實驗室開放項目，基于圖神經網絡的異常實體發現，2019-2021
l自然基金重點課題，新型數據管理系統，2019-2023
l北大-阿裡巴巴合作項目，多智能體機器學習，2019.3-2020.3
l北大-阿裡巴巴合作項目，圖神經網絡關鍵技術研究，2018.3-2019.3
l北大-阿裡巴巴合作項目，基于大規模圖計算的商家大數據算法應用研究（二期），2017.3-2018.3
l國家重點研發計劃，大數據驅動的航天航空裝備創新研發與應用示範--制造業圖數據管理關鍵技術研究及系統研制，2016.7-2019.7
l國家自然科學基金，大規模圖數據集成關鍵技術，2016.01-2019.12
l深圳市基礎研究項目，大規模高擴展的圖數據管理分析方法研究，2016.01-2018.12
l北大-阿裡巴巴合作項目，基于大規模圖計算的商家大數據算法應用研究，2016.3-2017.3
l華為創新研究計劃，大數據環境下社會網絡圖數據查詢的理論與算法研究，2014.01 -2014.12
l國家自然科學基金，基于分布式計算框架的大圖數據描述性查詢關鍵技術研究，2013.01-2016.12
主要學術任職
中國計算機學數據庫專業委員會委員
Selected Publications
lJun Gao, Jiazun Chen(2021年9月博士生入學), 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
