Wang, Shuaiqiang

17 publications

ICLR 2026 CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang

ICLR 2026 Solving the Granularity Mismatch: Hierarchical Preference Learning for Long-Horizon LLM Agents Heyang Gao, Zexu Sun, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Xu Chen

ICLR 2026 ZeroGR: A Generalizable and Scalable Framework for Zero-Shot Generative Retrieval Weiwei Sun, Keyi Kong, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren, Yiming Yang

ICLR 2025 From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

NeurIPS 2025 Improving Retrieval-Augmented Generation Through Multi-Agent Reinforcement Learning Yiqun Chen, Lingyong Yan, Weiwei Sun, Xinyu Ma, Yi Zhang, Shuaiqiang Wang, Dawei Yin, Yiming Yang, Jiaxin Mao

NeurIPS 2024 Cross-Model Control: Improving Multiple Large Language Models in One-Time Training Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao

NeurIPS 2024 G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models Pengyue Jia, Yiding Liu, Xiaopeng Li, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao

MLJ 2024 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

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

ECML-PKDD 2024 HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang

IJCAI 2024 MPGraf: A Modular and Pre-Trained Graphformer for Learning to Rank at Web-Scale (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

ECML-PKDD 2024 PSP: Pre-Training and Structure Prompt Tuning for Graph Neural Networks Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin

NeurIPSW 2023 Exploring the Potential of Large Language Models (LLMs) in Learning on Graph Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

NeurIPS 2023 Learning to Tokenize for Generative Retrieval Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, Zhaochun Ren

ECML-PKDD 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

NeurIPS 2022 A Large Scale Search Dataset for Unbiased Learning to Rank Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin

AAAI 2011 CCRank: Parallel Learning to Rank with Cooperative Coevolution Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw