Yinfeng Li

李银峰

yf-li15 AT tsinghua DOT org DOT cn

About Me

I am now a recommendation algorithm engineer at Kuaishou (快star, the special technical talent plan). Prior to that, I obtained my M.S. degree in the Department of E.E. from Tsinghua University in 2022 (advised by Prof. Yong Li and Prof. Depeng Jin). Before that, I received my B.E. degree from the Department of E.E., Tsinghua University in 2019.

Research Interests

Machine Learning and Deep Learning
Recommender System
Spatiotemporal Data Mining
Information Retrieval

Selected Publications

Inverse Learning with Extremely Sparse Feedback for Recommendation.

Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li

Proceedings of the 17th ACM International Conference on Web Search and Data Mining.

WSDM, 2024. (CCF-B, Core A, Accept Rate: 18.2%)

[paper]
Spatiotemporal-aware Session-based Recommendation with Graph Neural Networks.

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the 31st ACM International Conference on Information and Knowledge Management.

CIKM, 2022. (CCF-B, Core A, Accept Rate: 23.3%)

[paper] [code]
Automatically Discovering User Consumption Intents in Meituan.

Yinfeng Li, Chen Gao, Xiaoyi Du, Huazhou Wei, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.

KDD, 2022. (CCF-A, Core A*, Accept Rate: 26%)

[paper] [code]
Enhancing Hypergraph Neural Networks with Intent Disentanglement for Session-based Recommendation.

Yinfeng Li, Chen Gao, Hengliang Luo, Depeng Jin, Yong Li

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

SIGIR, 2022. (CCF-A, Core A*, Accept Rate: 24.7%)

[paper] [code]
Dual Contrastive Network for Sequential Recommendation.

Guanyu Lin, Chen Gao, Yinfeng Li, Yu Zheng, Zhiheng Li, Depeng Jin, Yong Li

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

SIGIR, 2022. (CCF-A, Core A*, Accept Rate: 24.7%)

[paper]
DisenHCN: Disentangled Hypergraph Convolutional Networks for Spatiotemporal Activity Prediction.

Yinfeng Li, Chen Gao, Quanming Yao, Tong Li, Depeng Jin, Yong Li

Proceedings of IEEE 38th International Conference on Data Engineering.

ICDE, 2022. (CCF-A, Core A*, Accept Rate: 27%)

[paper] [code]
Progressive Feature Interaction Search for Deep Sparse Network.

Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li

Part of Advances in Neural Information Processing Systems 34 (NeurIPS 2021).

NeurIPS, 2021. (CCF-A, Core A*, Accept Rate: 26%)

[paper]

Survey

A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions. TORS, 2022.

Chen Gao, Yu Zheng, Nian Li, Yinfeng Li, Yingrong Qin, Jinghua Piao, Yuhan Quan, Jianxin Chang, Depeng Jin, Xiangnan He, Yong Li

ACM Transactions on Recommender Systems 2022.

TORS, 2022.

[paper] [code repositories]

Open Source Projects

Factorization Machine models in PyTorch (pytorch-fm)
- A PyTorch implementation of factorization machine models and common datasets in CTR prediction
- Role: One of the Main Contributors
- API Documentation

Academic Service

Conference Program Committee Member (PC Member):
- AAAI (AAAI Conference on Artificial Intelligence): 2023-now
- KDD (SIGKDD Conference on Knowledge Discovery and Data Mining): 2023-now
- SDM (SIAM International Conference on Data Mining): 2024-now
- IJCAI (International Joint Conference on Artificial Intelligence): 2024-now
- ACM MM (ACM International Conference on Multimedia): 2024-now
Journal Reviewer:
- Neural Networks