About Me

He is currently an applied machine learning researcher at Tencent. Before that, he worked as a research intern at Fuxi AI Lab. He received his M.Sc. degree in Computer Science at University of Electronic Science and Technology of China (UESTC), and received his B.Sc. degree in Information and Computing Science and B.B.M. degree in Financial Management at Sichuan Agricultural University (SICAU).

Research Interests:

Mechine Learning, Data Mining, Deep Learning and Recommender Systems.

🔥 News

• 2024.06:  🎉🎉 We have a full paper accepted by CSCW 24.
• 2024.06:  🎉🎉 We have a full paper accepted by Research.

📝 Publications

CSCW 2024

CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System

Proceedings of the ACM on Human-Computer Interaction / ACM Conference on Computer Supported Cooperative Work

Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu.

• Appeared in CSCW 24
• Applied in a popular MOBA game

IEEE TNSE

Improving Rating Prediction in Multi-criteria Recommender Systems via a Collective Factor Model

IEEE Transactions on Network Science and Engineering

Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Yingjie Li, Victor C. M. Leung.

• A short version has appeared in DeMaL @ The Web Conference 2021, PDF

ASE 2022

MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

IEEE/ACM International Conference on Automated Software Engineering

Ge Fan, Chaoyun Zhang, Junyang Chen, Kai Wang.

• Applied in Tencent Recommender Systems.

ICDE 2022

Field-aware Variational Autoencoders for Billion-scale User Representation Learning

IEEE International Conference on Data Engineering

Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong.

• Applied in Tencent Recommender Systems.

Neurocomputing

PPPNE: Personalized proximity preserved network embedding

Neurocomputing

Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, and Wei Zeng.

ASOC

Collaborative filtering via heterogeneous neural networks

Applied Soft Computing

Wei Zeng*, Ge Fan* (co-first authors), Shan Sun, Biao Geng, Weiyi Wang, Jiacheng Li, and Weibo Liu.

• EMNLP 2023 findings MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization.
  Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao.

• CIKM 2023 Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models.
  Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Zhixu Li, Yanghua Xiao, Dongmei Zhang.

• CIKM 2023 Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models.
  Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Zhixu Li, Yanghua Xiao, Dongmei Zhang.

• DSE A Neural Inference of User Social Interest for Item Recommendation.
  Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong, Ou Liu, Wenfeng Du, Zhenghua Xu, Zhiguo Gong.

• DASFAA 2023 A Topic-aware Graph-based Neural Network for User Interest Summarization and Item Recommendation in Social Media.
  Junyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li, Victor C.M. Leung, Mengzhu Wang, Ming Yang .

• CIKM 2022 QuickSkill: Novice Skill Estimation in Online Multiplayer Games.
  Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng.

• IEEE TNSE Meta-path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation.
  Junyang Chen, Zhiguo Gong,Yuanman li, Huanjian Zhang, Hongyong Yu, Junzhang Zhu, Ge Fan, Xiaoming Wu, Kaishun Wu.

• KAIS Preference modeling by exploiting latent components of ratings.
  Junhua Chen, Wei Zeng, Junming Shao, Ge Fan.

🎖 Honors and Awards

• 2017, First-Class Award from China Postgraduate Mathematic Contest in Modeling .
• 2016, First-Class Academic Scholarship from UESTC.
• 2016, Excellent Program Award from SICAU.
• 2016, Special Contest Award from SICAU.
• 2015, Honorable Mentions for The Interdisciplinary Contest in Modeling (ICM).
• 2015, Secend-class Award from China Undergraduate Mathematical Contest in Modeling Sichuan Area. (CUMCM).

💻 Work Experience

• 2019.07 - 2024.05, Tencent (Shenzhen, China), Senior Researcher
• 2019.03 - 2019.04, Tencent (Shenzhen, China), Research intern
• 2018.07 - 2018.12, Netease Games (Hangzhou, China), Research intern