Adaptively Shaping Reinforcement Learning Agents via Human Reward. - Chao Yu 004; Dongxu Wang; Tianpei Yang; Wenxuan Zhu; Yuchen Li 006; Hongwei Ge; Jiankang Ren (PRICAI (1), 2018)

Learning-based congestion control simulator for mobile internet education. - Junqin Huang; Linghe Kong; Jiejian Wu; Yutong Liu; Yuchen Li 006; Zhe Wang 015 (MobiArch, 2021)

Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Rui Zhang; Dejing Dou; Guihai Chen (ECML/PKDD (6), 2022)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (ICDM, 2023)

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Qingzhong Wang; Shuaiqiang Wang; Guihai Chen; Dawei Yin (KDD, 2023)

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Shuaiqiang Wang; Zeyi Sun 001; Hongyang Chen; Guihai Chen; Dawei Yin (ECML/PKDD (6), 2023)

MHRR: MOOCs Recommender Service With Meta Hierarchical Reinforced Ranking. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Rui Zhang; Fanqin Xu; Guihai Chen; Minglu Li 001 (IEEE Trans. Serv. Comput., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. - Yuchen Li 006; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu 026; Haifang Li 003; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2023)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (IJCAI, 2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (IJCAI, 2024)

HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links. - Haizhou Du; Yijian Chen; Ryan Yang; Yuchen Li 006; Linghe Kong (NeurIPS, 2024)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective. - Haoyi Xiong; Xuhong Li 002; Xiaofei Zhang; Jiamin Chen; Xinhao Sun; Yuchen Li 006; Zeyi Sun 001; Mengnan Du (CoRR, 2024)

Towards Automated Data Sciences with Natural Language and SageCopilot: Practices and Lessons Learned. - Yuan Liao; Jiang Bian 003; Yuhui Yun; Shuo Wang; Yubo Zhang; Jiaming Chu; Tao Wang; Kewei Li; Yuchen Li 006; Xuhong Li 002; Shilei Ji; Haoyi Xiong (CoRR, 2024)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Zeyi Sun 001; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (CoRR, 2024)

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (CoRR, 2024)

Pre-trained Molecular Language Models with Random Functional Group Masking. - Tianhao Peng 002; Yuchen Li 006; Xuhong Li 002; Jiang Bian 003; Zeke Xie; Ning Sui; Shahid Mumtaz; Yanwu Xu 001; Linghe Kong; Haoyi Xiong (CoRR, 2024)

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning. - Ning Wang 004; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Shahid Mumtaz; Linghe Kong; Haoyi Xiong (Nat. Mac. Intell., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges. - Haoyi Xiong; Jiang Bian 003; Yuchen Li 006; Xuhong Li 002; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. - Yuchen Li 006; Haoyi Xiong; Linghe Kong; Jiang Bian 003; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Mach. Learn., 2024)

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning. - Tianhao Peng 002; Xuhong Li 002; Haitao Yuan 002; Yuchen Li 006; Haoyi Xiong (AAAI, 2025)

M2oERank: Multi-Objective Mixture-of-Experts Enhanced Ranking for Satisfaction-Oriented Web Search. - Yuchen Li 006; Hao Zhang; Yongqi Zhang; Xinyu Ma; Wenwen Ye; Naifei Song; Shuaiqiang Wang; Haoyi Xiong; Dawei Yin; Lei Chen (ICDE, 2025)

RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. - Yuchen Li 006; Haoyi Xiong; Yongqi Zhang; Jiang Bian 003; Tianhao Peng 002; Xuhong Li 002; Shuaiqiang Wang; Linghe Kong; Dawei Yin (KDD (1), 2025)

TagRec: Temporal-Aware Graph Contrastive Learning With Theoretical Augmentation for Sequential Recommendation. - Tianhao Peng 002; Haitao Yuan 002; Yongqi Zhang; Yuchen Li 006; Peihong Dai; Qunbo Wang; Senzhang Wang; Wenjun Wu 001 (IEEE Trans. Knowl. Data Eng., 2025)

Towards AI Search Paradigm. - Yuchen Li 006; Hengyi Cai; Rui Kong; Xinran Chen; Jiamin Chen; Jun Yang; Haojie Zhang; Jiayi Li; Jiayi Wu; Yiqun Chen; Changle Qu; Keyi Kong; et al. (CoRR, 2025)

UCMM: Unsupervised Convolutional Networks for Accurate and Efficient Map Matching With Mobile Cellular Data. - Mingxin Cai; Chen Ma 001; Yuchen Li 006; Zhonghao Lyu; Yutong Liu; Linghe Kong; Guihai Chen (IEEE Trans. Mob. Comput., 2025)