Yuchen Li

According to our database, Yuchen Li authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective.

Haoyi Xiong, Xuhong Li, Xiaofei Zhang, Jiamin Chen, Xinhao Sun, Yuchen Li, Zeyi Sun, Mengnan Du

CoRR, 2024

2023

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.

Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin

IEEE Trans. Knowl. Data Eng., December, 2023

MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking.

Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Fanqin Xu, Guihai Chen, Minglu Li

IEEE Trans. Serv. Comput., 2023

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.

Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

S²phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.

Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.

Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

Proceedings of the IEEE International Conference on Data Mining, 2023

GS²P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.

Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs.

Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

Learning-based congestion control simulator for mobile internet education.

Junqin Huang, Linghe Kong, Jiejian Wu, Yutong Liu, Yuchen Li, Zhe Wang

Proceedings of the MobiArch@MobiCom 2021: Proceedings of the 16th ACM Workshop on Mobility in the Evolving Internet Architecture, 2021

2018

Adaptively Shaping Reinforcement Learning Agents via Human Reward.

Chao Yu, Dongxu Wang, Tianpei Yang, Wenxuan Zhu, Yuchen Li, Hongwei Ge, Jiankang Ren

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018