Ge Fan 樊哿

Biography

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).

There is his Chinese resume.

Research Interests:

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

Selected Publications

Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Yingjie Li, Victor C. M. Leung. Improving Rating Prediction in Multi-criteria Recommender Systems via a Collective Factor Model. IEEE Transactions on Network Science and Engineering (2023).

Junyang Chen, Ge Fan, Zhiguo Gong, Xueliang Li, Victor C.M. Leung, Mengzhu Wang, Ming Yang . A Topic-aware Graph-based Neural Network for User Interest Summarization and Item Recommendation in Social Media. International Conference on Database Systems for Advanced Applications (DASFAA 2023).

Ge Fan, Chaoyun Zhang, Junyang Chen, Kai Wang. MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation. IEEE/ACM International Conference on Automated Software Engineering (ASE 2022).

Chaoyun Zhang, Kai Wang, Hao Chen, Ge Fan, Yingjie Li, Lifang Wu, Bingchao Zheng. QuickSkill: Novice Skill Estimation in Online Multiplayer Games. ACM International Conference on Information and Knowledge Management (CIKM 2022).

Ge Fan, Chaoyun Zhang, Junyang Chen, Paul Li, Zenglin Xu, Yingjie Li, Luyu Peng, Zhiguo Gong. Field-aware Variational Autoencoders for Billion-scale User Representation Learning. IEEE International Conference on Data Engineering (ICDE 2022).

Junyang Chen, Zhiguo Gong,Yuanman li, Huanjian Zhang, Hongyong Yu, Junzhang Zhu, Ge Fan, Xiaoming Wu, Kaishun Wu. Meta-path Based Neighbors for Behavioral Target Generalization in Sequential Recommendation. IEEE Transactions on Network Science and Engineering (2022).

Ge Fan, Biao Geng, Jianrong Tao, Kai Wang, Changjie Fan, and Wei Zeng. PPPNE: Personalized proximity preserved network embedding. Neurocomputing 472 (2022): 103-112.

Wei Zeng*, Ge Fan* (co-first authors), Shan Sun, Biao Geng, Weiyi Wang, Jiacheng Li, and Weibo Liu. Collaborative filtering via heterogeneous neural networks. Applied Soft Computing (2021): 107516. [pdf]

Ge Fan, Chaoyun Zhang, Junyang Chen, and Kaishun Wu. Predicting ratings in multi-criteria recommender systems via a collective factor model. Demal @ The Web Conference (2021)

AWARDS & HONORS