News
Projects
Biography
Advising
Awards
Publications

 Biography

Jianrong Tao  (陶建容) 

Senior Artificial Intelligence Researcher (April 2017~present)

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

Mobile Data Mining Researcher (April 2014~March 2017)

College of Computer Science and Technology, Zhejiang University

hztaojianrong@corp.netease.com
Research Interests: Data Mining, Machine Learning, User Modeling.
Google Scholar Research Gate

I am currently a senior artificial intelligence researcher and director of user persona group in NetEase Fuxi AI Lab, Hanzhou, China. I received the MA.Sc. degree in computer science from Zhejiang University under the supervision of Prof. Gang Pan 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 personas, such as anomaly detection, match making, player ranking, recommender system, event prediction, model interpretation, social influence, network embeding, etc. 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, etc.

 News

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

2019/11/03: I will give 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]


 Publications

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]


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) [Accepted]


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]


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]


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]


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)


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 = 4.337) (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 = 3.557) (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]



Kai Wang, Hao Li, Jianrong Tao, Changjie Fan and Peng Cui. Dynamic Win Analytics: A Unified Framework for Win Prediction and Performance Evaluation. (WWW 2020)  (CCF Rank: A) [Under Review]


Minghao Zhao, Qilin Deng, Wai Wang, Jianrong Tao, Changjie Fan, Liang Chen and Peng Cui. Social Recommendation with Multifaceted Relations via Hybrid Multi-Graph Attention Network. (WWW 2020) (CCF Rank: A) [Under Review]

​​​​​​​​​​​

Runze Wu, Qian Zhong, Jianrong Tao, Wenyuan Xu, Kai Wang, Changjie Fan and Peng Cui. Hetero-temporal Self-Attention Networks for Modeling Irregular and Interdependent Event Stream. (WWW 2020) (CCF Rank: A) [Under Review] 


Linxia Gong, Dezhi Ye, Jianrong Tao, Changjie Fan and Peng Cui. Multi-Aspect Higher-Order Interactions Learning for Optimal Team Composition and Comparison in Games. (AAAI 2020) (CCF Rank: A) [Under Review]


Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan and Peng Cui. Multi-level Temporality Preserved Behavior Embedding for Tracing MMORPG Players. (AAAI 2020) (CCF Rank: A) [Under Review]


Yu Ang, Liang Chen, Jianrong Tao and Changjie Fan. Keep You from Leaving: Churn Prediction in Online Games. (AAAI 2020) (CCF Rank: A) [Under Review]


Yang Liu, Liang Chen, Jianrong Tao and Changjie Fan. Metapath-free Graph Neural Network for Recommendation. (AAAI 2020) (CCF Rank: A) [Under Review]


Sha Zhao, Yizhi Xu, Zhiling Luo, Jianrong Tao, Shijian Li, Changjie Fan, and Gang Pan. Player Behavior Modeling for Enhancing Role-Playing Game Engagement. (T-CIAIG)  [Under Review]


Meng Xi, Zhiling Luo, Naibo Wang, Jianrong Tao, Changjie Fan, and Jianwei Yin. A Latent Feelings-aware RNN Model for User Churn Prediction with Behavioral Data. ACM Transactions on Knowledge Discovery from Data (TKDD [Under Review]


Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao and Jiangang Lu. NGUARD+: A General Framework for Game Bot Detection. ACM Transactions on Knowledge Discovery and Data Engineering (TKDE) [Under Review]


Shize Zhang, Jianyu Wang , Jianrong Tao, Jianshi Lin and Changjie Fan. Beating Game Bots with Explainable Evidences in NetEase FPS. (CVPR 2020​)  (CCF Rank: A) [Working Paper]


Runze Wu, Wenyuan Xu, Jianrong Tao, Changjie Fan, and Peng Cui. Bi-View Marked Temporal Point Process.  (IJCAI 2020) (CCF Rank: A) [Working Paper]


Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, and Wei Zeng. PPPNE: Personalized Proximity Preserved Network Embedding. (DASFAA 2020) (CCF Rank: B) [Working Paper]


Yu Xiong, Shiwei Zhao, Jianrong Tao, Changjie Fan and Sha Zhao. Churn Analysis by Explaining Black-box Model in Online Games. (Ubicomp 2020​)  (CCF Rank: A) [Working Paper]


Qilin Deng, Kai Wang, Jianrong Tao, Changjie Fan and Peng Cui. Bundle Generation and Recommendation with Deep Collaborative Network in Online Games. (KDD 2020​)  (CCF Rank: A) [Working Paper]


Kai Wang, Zhene Zou, Jianrong Tao, Changjie Fan and Peng Cui. Goal Rather Than Reward: Deep Reinforcement Learning with Universal Value Function for Item Recommendation. (KDD 2020​)  (CCF Rank: A) [Working Paper]


 Projects

DiTing (谛听)

​​​​​​​个性化推荐算法根据用户的属性特征实现千人千面

FuMo (伏魔)

​​​​​​​基于玩家行为、图谱、轨迹、键鼠等识别异常群体​

HeTu (河图)

​​​​​​​根据数据画像,获得精准的数值评估以及数值预估

XuanTian (玄天)​

​​​​​​​设计最优的分组匹配策略多目标优化游戏战斗场景

​BaGuaLu (八卦录)​

用户画像服务平台

ShengBu (生簿)

​​​​​​​深度挖掘并解释游戏玩家行为背后的本质原因

YuYi (羽衣)​

​​​​​​​围绕游戏的生命周期对用户行为进行精准预测

 Awards

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

2015, 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, awarded National Scholarship

2011, awarded National Scholarship


Conference Organization: TBD

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

Academic Awards: Ubicomp2016(Best Paper)


Industry Awards: TBD

 Advising

Frontier Research Researchers:

Linxia Gong, 2rd year, MA.Sc., Telecom ParisTech

Jianshi Lin, 2rd year, MA.Sc., Zhejiang University

Kai Wang, 2rd year, MA.Sc., University of Electronic Science and Technology of China

Qilin Deng, 2rd year, MA.Sc., Nanjing University

Yu Xiong, 2rd year, MA.Sc., Nanjing University

Runze Wu, 1st year, Ph.D., University of Science and Technology of China

Hao Li, 1st year, MA.Sc., Zhejiang University

Yuhong Xu, 1st year, MA.Sc., Zhejiang University

Minghao Zhao, 1st year, MA.Sc., Zhejiang University of Technology

Shiwei Zhao, 1st year, MA.Sc., Zhejiang University


Technical Transformation Engineers: 

Song Xue, 2rd year, MA.Sc., Beijing University of Posts and Telecommunications

Jiaheng Qi, 1st year, MA.Sc., Zhejiang University

Zhene Zou, 1st year, MA.Sc., Beihang University

Xudong Shen, 3rd year, MA.Sc., University of Science and Technology of China

Han Yan, 1st year, MA.Sc., Central South University

Manhu Qu, 1st year, MA.Sc., Suzhou University

Xiaochuan Feng, 1st year, MA.Sc., Xidian University

Yue Shang, 1st year, MA.Sc., Zhejiang University

Hao Deng, 1st year, MA.Sc., National University of Singapore

Shize Zhang, 1st year, MA.Sc., Peking University


R&D Assistants: 

Jianyu Wang, 1st year, Ph.D., Zhejiang University