CV

Contact

Email: wurz1990 # gmail.com

Short Bio

I currently lead User Profiling Group of Fuxi AI Lab, NetEase Inc. My interests cover a wide range of domains like user modeling, personalization, behavior analysis, and AI for novel applications. I have published 30+ top-tier AI conference/journal papers like KDD, AAAI, ICDE, CIKM, TKDE, TKDD, TOIS etc., and served as SPC/PC/reviewer for top-tier conferences and journals. Our research outcomes have been successfully applied and integrated into many top online games released by NetEase Games.

Education

• B.S. in Computer Science, University of Science and Technology of China, 2013
• Visiting Student in Advanced Analytics Institute, University of Technology, Sydney, Australia Jan 2016 - Jan 2017 (Supervisor: Prof. Guandong Xu)
• Ph.D in Computer Science, University of Science and Technology of China, 2018 (Supervisor: Prof. Enhong Chen, Prof. Qi Liu)
• PostDoc in Computer Science, Zhejiang University, Jul 2021 - Jul 2023 (expected) (Supervisor: Prof. Yunjun Gao)

Work experience

• Aug 2018 - Nov 2020: AI Researcher, Fuxi AI Lab, NetEase Games
• Nov 2020 - Present: Chief AI Researcher, Fuxi AI Lab, NetEase Games

Projects

• Quality Control in Crowdsourcing (2020-Present)
• Cheat Detection in Online Games (2020-Present)
• Bundle Recommendation in Online Games (2020-Present)
• Matchmaking in Online Games (2020-Present)
• Churn Prediction and Explainable Analysis & Intervention (2018-2020)
• Event Prediction in Online Games (2018-2019)

Working Research Topics

• Credit Assignment (Reward Decomposition)
• XAI & Causal Inference
• Combinational Optimization with ML methods
• Data Quality
• Self-/Un- supervised Anomaly Detection

Skills

• Research Focus for ML/DM and Data Science
• Good Coding (Python/Matlab/CPP)
• Sound English Writing & Reading
• Basic Oral English
• Research Team Management

Service and leadership

• PC/SPC Reviewer for SIGKDD2021/2022, TheWebConf2020/2021/2022, AAAI2021/2022, IJCAI2021/2022, ICDM2020/2021, CIKM2019/2021, SDM2022, etc
• Journal Reviewer for AI Jounal, IEEE Trans. on Games, Cell Patterns, etc
• IEEE BigData Cup 2021: RL4RS Challenge & Workshop Chair

Talks

• Nov 2020 AI Pioneer Summit 2020 大数据画像技术在游戏中的研究与应用
• Mar 2020 AICUG Online Talk 时序点过程在游戏玩家行为事件预测中的应用 url
• Apr 2017 WWW`2017 Oral Presentation Knowledge or gaming? Cognitive modelling based on multiple-attempt response
• Aug 2015 IJCAI`2015 Oral&Poster Presentation Cognitive modelling for predicting examinee performance

Selected Publications

Journals

• Qiling Deng, Minghao Zhao, Kai Wang, Runze Wu*, Xudong Shen, Jianrong Tao and Changjie Fan, “Find Your Organization in MMORPGs”, IEEE Trans. on Games

• Minghao Zhao, Qilin Deng, Kai Wang, Runze Wu*, Jianrong Tao, Changjie Fan, Liang Chen and Peng Cui, “Bilateral Filtering Graph Convolutional Network for Social Recommendation in Power-Law Networks”, ACM TOIS

• Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen and Guoping Hu, Fuzzy cognitive diagnosis for modelling examinee performance, ACM TIST

Conferences

• Xianyang Qi, Jiashu Pu, Shiwei Zhao, Jianrong Tao and Runze Wu*, A GNN-Enhanced Game Bot Detection Model for MMORPGs, PAKDD’2022

• Jiashu Pu, Jianshi Lin, Xiaoxi Mao, Xudong Shen, Jianrong Tao, Yue Shang and Runze Wu* Unsupervised representation learning of player behavioral data with Confidence Guided Masking, WWW’2022

• Chuang Zhao, Hongke Zhao, Yong Ge, Runze Wu* and Xudong Shen, Winning Tracker: A New Model for Real-time Winning Prediction in MOBA Games, WWW’2022

• Chuang Zhao, Hongke Zhao, Runze Wu*, Qiling Deng, Yu Ding, Jianrong Tao and Changjie Fan, Multi-dimensional Prediction of Guild Health in Online Games: A Stability-AwareMulti-task Learning Approach, AAAI’2022

• Sha Zhao, Junwei Fang, Shiwei Zhao, Runze Wu*, Jianrong Tao, Shijian Li and Gang Pan, T-Detector: A Trajectory based Pre-trained Model for Game Bot Detection in MMORPGs, ICDE’2022

• Manhu Qu, Jie Huang, Hao Deng, Runze Wu*, Xudong Shen, Jianrong Tao and Tangjie Lyu, EasySM: A data-driven intelligent decision support system for server merge, AAAI’2022 Demo

• Qiling Deng, Kai Wang, Minghao Zhao, Runze Wu*, Yu Ding, Zhene Zou, Yue Shang, Jianrong Tao and Changjie Fan, Build Your Own Bundle - A Neural Combinatorial Optimization Method, ACMMM’2021

• Qiling Deng & Hao Li, Kai Wang, Zhipeng Hu, Runze Wu*, Linxia Gong, Jianrong Tao, Changjie Fan and Peng Cui, “Globally Optimized Matchmaking in Online Games”, KDD’2021

• Runze Wu, Guandong Xu, Enhong Chen, Qi Liu and Wan Ng, Knowledge or gaming? Cognitive modelling based on multiple-attempt response, WWW’2017

• Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen and Guoping Hu, Cognitive modelling for predicting examinee performance, IJCAI’2015

”*” denotes corresponding author. Please refer to the full list of my publications here.