About me

Hi! My name is Yuchen Li. I am a final-year Ph.D. candidate in Department of Computer Science and Engineering at Shanghai Jiao Tong University, where I am advised by Prof. Linghe Kong and Prof. Guihai Chen. Since September 2021, I have been doing my internship in Big Data Laboratory at Baidu Inc., where I am mentored by Dr. Haoyi Xiong.
Research interests:
My research mainly focuses on information retrieval, recommender systems and data mining. In particular, I am interested in the application of learing to rank & pre-training for large-scale web search, large lanugage models and recommender systems.

Publications

[Journal]

1. [MLJ] Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin.
   GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
   Machine Learning, 2024. (IEEE DSAA Best Paper Award - Journal Track, JCR-Q1, CCF-B)
2. [NMI] Ning Wang, Jiang Bian, Yuchen Li, Xuhong Li, Shahid Mumtaz, Linghe Kong, Haoyi Xiong.
   Multi-purpose RNA Language Modeling with Motif-aware Pre-training and Type-guided Fine-tuning.
   Nature Machine Intelligence, 2024. (JCR-Q1, IF:25.9)
3. [TKDE] Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin.
   COLTR: Semi-supervised Learning to Rank with Co-training and Over-parameterization for Web Search.
   IEEE Transactions on Knowledge and Data Engineering, 2023. (JCR-Q1, CCF-A)
4. [TSC] Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fangqin Xu, Guihai Chen, Minglu Li.
   MOOCs Recommender Service with Meta Hierarchical Reinforced Ranking.
   IEEE Transactions on Services Computing, 2023. (JCR-Q1, CCF-A)

5. [KDD'23] Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin.
   S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
   The 29th SIGKDD Conference on Knowledge Discovery and Data Mining, 2023. (CCF-A)
   
6. [ICDM'23] Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin.
   MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.
   The 23rd IEEE International Conference on Data Mining, 2023. (Acceptance Rate 9.37%) (Best Student Paper Award, CCF-B)
   
7. [ECML PKDD'23] Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin.
   LtrGCN: Large-Scale Graph Convolutional Networks-based Learning to Rank for Web Search.
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2023. (CCF-B)
   
8. [DSAA'23] Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin.
   GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.
   The 10th IEEE International Conference on Data Science and Advanced Analytics, 2023. (CCF-C)
   
9. [ECML PKDD'22] Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen.
   Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.
   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. (CCF-B)
   
10. [MOBICOM'21@Workshop] Junqin Huang, Linghe Kong, Jiejian Wu, Yutong Liu, Yuchen Li, Zhe Wang.
    Learning-based Congestion Control Simulator for Mobile Internet Education.
    MobiArch Workshop, 2021. (held with ACM MOBICOM)
    
11. [PRICAI'18] Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren.
    Adaptively Shaping Reinforcement Learning Agents via Human Reward.
    The 15th Pacific Rim International Conference on Artificial Intelligence, 2018. (Best Paper Nomination) (CCF-C)