Jianrong Tao  (陶建容) 

Senior Artificial Intelligence Researcher (April 2017~present)

User Profiling Group, NetEase Fuxi AI Lab, Hangzhou, China 

Mobile Data Mining Researcher (April 2014~March 2017)

College of Computer Science and Technology, Zhejiang University
Research Interests: Data Mining, Machine Learning, User Modeling.
Google Scholar Research Gate

I am now a PhD student in engineering college from Zhejiang University under the supervision of Prof. Gang Pan. I received the MA.Sc. degree in computer science from Zhejiang University in 2017,  and the B.S. degree in computer science from Huazhong University of Science and Technology in 2014.  My research interests include data mining and machine learning, with an emphasis on applying computational models to addressing problems in game-related user profiling, such as anomaly detection, match making, recommender system, event prediction, model interpretation, causal analysis, network embedding, social influence, federated learning, etc. I am currently a senior artificial intelligence researcher and director of the user profiling group in NetEase Fuxi AI Lab, Hangzhou, China. I focused on frontier research and technology transformation in online games and my work has been successfully applied to a number of important games in NetEase, such as: Justice PC, Ghosts PC, Ghosts Mobile, Revelation PC, Knives Out PC, Fever Basketball, UNO, etc.


2020/3/16: I was invited to the 2020 Game Developers Conference (GDC 2020) in San Francisco, CA. [URL]

2019/11/06: I organized a session named "online and user behaviors" at the CIKM 2019 in Beijing, China. [URL]

2019/11/03: I gave a talk at the CIKM 2019 in Beijing, China. [URL]

2019/08/06: I was invited to the KDD 2019 in Anchorage, Alaska. [URL]

2019/03/16: I was invited to the 2019 Game Developers Conference (GDC 2019) in San Francisco, CA. [URL]

2018/11/22: I gave a talk at the 2018 GPU Technology Conference (GTC China 2018) in Suzhou. [URL]

2018/11/03: I gave a talk at the AICUG Artificial Intelligence Technical Salon in NetEase, Hangzhou. [URL]

2018/08/22: I was invited to the KDD 2018 in London, UK. [URL]

2018/01/06: I gave a talk at the Inspur-NVIDIA AI Training Camp in Shenzhen. [URL]


Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, and Zhou Zhao. NGUARD: A Game Bot Detection Framework for NetEase MMORPGs. The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2018) (CCF Rank: A) [PDF] [URL] [DATA][CODE]

Jianrong Tao, Jianshi Lin, Shize Zhang, Sha Zhao, Runze Wu, Changjie Fan, and Peng Cui. MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games. The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2019) (CCF Rank: A) [PDF] [URL] [DATA][CODE]

Linxia Gong, Xiaochuan Feng, Dezhi Ye, Hao Li, Runze Wu, Jianrong Tao, Changjie Fan, and Peng Cui. OptMatch: Optimized MatchMaking via Modeling the High-Order Interactions on the Arena. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020) (CCF Rank: A[PDF] [URL] [DATA] [CODE]

Jianrong Tao, Linxia Gong, Changjie Fan, Longbiao Chen, Dezhi Ye and Sha Zhao. GMTL: A GART Based Multi-task Learning Model for Multi-Social-Temporal Prediction in Online Games. The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019) (CCF Rank: B) [PDF] [URL] [DATA][CODE]

Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu and Liang Chen. Deep Behavior Tracing with Multi-level Temporality Preserved Embedding. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (CCF Rank: B[PDF] [URL] [DATA] [CODE]

Kai Wang, Hao Li, Linxia Gong, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen and Peng Cui. Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (CCF Rank: B[PDF] [URL] [DATA] [CODE]

Qilin Deng, Kai Wang, Minghao Zhao, Zhene Zou, Runze Wu, Jianrong Tao, Changjie Fan and Liang Chen. Personalized Bundle Recommendation in Online Games. The 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) (CCF Rank: B[PDF] [URL] [DATA] [CODE]

Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, and Anind Dey. Discovering Different Kinds of Smartphone Users Through Their Application Usage Behaviors. The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016) [Best Paper Award] (CCF Rank: A) [PDF] [URL] [DATA][CODE]

Angyu Zheng, Liang Chen, Fenfang Xie, Jianrong Tao, Changjie Fan and Zibin Zheng. Kepp You from Leaving: Churn Prediction in Online Games. The 25th International Conference on Database Systems for Advanced Applications(DASFAA 2020)(CCF Rank: B) [PDF] [URL] [DATA][CODE]

Kun Kuang, Peng Cui, Hao Zou, Bo Li, Jianrong Tao, Fei Wu, Shiqiang Yang. Data-Driven Variable Decomposition for Treatment Effect Estimation. IEEE Transactions on Knowledge and Data Engineering (IF = 3.857)(JCR Section I) [PDF] [URL] [DATA] [CODE] 

Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao, Jiangang Lu. NGUARD+: An Attention-based Game Bot Detection  Framework via Player Behavior SequencesACM Transactions on Knowledge Discovery from Data (IF = 2.538)(JCR Section II) [PDF] [URL] [DATA] [CODE] 

Gang Pan, ShaZhao, Jianrong Tao, Zhiling Luo, Shijian Li. Understanding Smartphone Users from Installed App Lists Using Boolean Matrix Factorization. IEEE Transactions on Cybernetics (IF = 10.387)(JCR Section I) [PDF] [URL] [DATA][CODE]

Jianrong Tao, Yu Xiong, Shiwei Zhao, Yuhong Xu, Jianshi Lin, Runze Wu and Changjie Fan. XAI-driven explainable Multi-view Game Cheating Detection. The 2020 IEEE Conference on Games (CoG 2020[Best Paper Award] [PDF] [URL] [DATA] [CODE]

Shiwei Zhao, Runze Wu, Jianrong Tao, Manhu Qu, Hao Li and Changjie Fan. Multi-source Data Multi-task Learning for Profiling Players in Online Games. The 2020 IEEE Conference on Games (CoG 2020[PDF] [URL] [DATA] [CODE]

Jianrong Tao, Linxia Gong. The AI Knows You Better Than Yourself: Mining Player Pursuits in Justice Online. The Game Developers Conference (GDC 2020) [PDF] [URL] [DATA][CODE] 

Linxia Gong, Jianrong TaoFind the Right Match: AI for Team Composition and Matchmaking. The Game Developers Conference (GDC 2020) [PDF] [URL] [DATA][CODE] 

Ruiying Guo, Zhihan Jiang, Jingchun Huang, Jianrong Tao, Cheng Wang, Jonathan Li and Longbiao Chen. BikeNet: Accurate Bike Demand Prediction Using Graph Neural Networks for Station Rebalancing. The 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2019) (CCF Rank: C) [PDF] [URL] [DATA][CODE]

Meng Xi, Zhiling Luo, Naibo Wang, Jianrong Tao, Ying Li and Jianwei Yin. A Latent Feelings-aware RNN Model for User Churn Prediction with only Behavior Data. (IEEE SmartDataServices 2020) [Best Paper Award] [PDF] [URL] [DATA][CODE] 

Yunzhe Li, Kun Kuang, Bo Li, Peng Cui, Jianrong Tao, Hongxia Yang and Fei Wu. Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. (The 2020 ACM SIGKDD Workshop on Causal Discovery). [PDF] [URL] [DATA][CODE] 

Sha Zhao, Gang Pan, Yifan Zhao, Jianrong Tao, Jinlai Chen, Shijian Li, and Zhaohui Wu. Mining User Attributes Using Large-scale APP lists of Smartphones. IEEE SYSTEMS JOURNAL (IF = 4.463) (JCR Section II) [PDF] [URL][DATA][CODE]

Sha Zhao, Zhe Zhao, Runhe Huang, Zhiling Luo, Shijian Li, Jianrong Tao, Shiwei Cheng, Jing Fan, and Gang Pan. Discovering Individual Life Style from Anonymized WiFi Scan Lists on Smartphones. IEEE Access (IF = 4.098) (JCR Section II) [PDF] [URL] [DATA][CODE]

Sha Zhao, Julian Ramos, Jianrong Tao, Ziwen Jiang, Shijian Li, Zhaohui Wu, Gang Pan, and Anind Dey. Who Are the Smartphone Users? -- Identifying User Groups with Apps Usage Behaviors. ACM SIGMOBILE Mobile Computing and Communications Review [PDF] [URL] [DATA][CODE] 


I managed an entrepreneurial team and co-developed an APP named Love Note. (May 2011).

managed an entrepreneurial team and co-founded a smart toy company named Xiao Hei. (April 2012).

managed an entrepreneurial team and co-developed a 3D model display website. (June 2015).


Conference PC Members: CIKM2019(SPC), KDD2019(PC), ICDM2020(PC)

Academic Awards: Ubicomp2016(Best Paper), CoG2020(Best Paper Candidate)

Conference Organization: TBD

Industry Awards: TBD

Students Awards:

2017, awarded Excellent Graduate of Zhejiang University with MA.Cs. degree.

2017, awarded best graduation thesis of Zhejiang University.

2016, awarded National Scholarship.

2014, awarded Excellent Graduate of Huazhong University of Science and Technology with B.S. degree.

2014, awarded best graduation thesis of Huazhong University of Science and Technology.

2013, awarded National Scholarship.

2012, Finalist, "LanQiaoBei" ACM Programming Competition.

2011, Finalist, "ZhongZiBei" Business Plan Competition.


CN201810317254-CN108537592A [URL]

CN201810573598-CN108875817A [URL]

CN201810592491-CN108905209A [URL]

CN201811315157-CN109464807A [URL]

CN201811083771-CN109091871A [URL]

CN201811315159-CN109464808A​ [URL]

CN201811549260-CN109603159A [URL]

CN201910037037-CN109754290A [URL]

CN201910037504-CN109767269A [URL]

CN201910054620-CN109821244A [URL]

CN201910142466-CN109815631A [URL]