Yin, Dawei

38 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

CVPR 2025 Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization Zefeng Zhang, Hengzhu Tang, Jiawei Sheng, Zhenyu Zhang, Yiming Ren, Zhenyang Li, Dawei Yin, Duohe Ma, Tingwen Liu

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

ICML 2025 Hgformer: Hyperbolic Graph Transformer for Collaborative Filtering Xin Yang, Xingrun Li, Heng Chang, Yang Jinze, Xihong Yang, Shengyu Tao, Maiko Shigeno, Ningkang Chang, Junfeng Wang, Dawei Yin, Erxue Min

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

AAAI 2025 InverseCoder: Self-Improving Instruction-Tuned Code LLMs with Inverse-Instruct Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen

NeurIPS 2025 Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Zhengliang Shi, Lingyong Yan, Dawei Yin, Suzan Verberne, Maarten de Rijke, Zhaochun Ren

ICLR 2025 MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

AAAI 2025 Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation Shicheng Wang, Hengzhu Tang, Li Gao, Shu Guo, Suqi Cheng, Junfeng Wang, Dawei Yin, Tingwen Liu, Lihong Wang

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

ICML 2024 Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification Xixun Lin, Wenxiao Zhang, Fengzhao Shi, Chuan Zhou, Lixin Zou, Xiangyu Zhao, Dawei Yin, Shirui Pan, Yanan Cao

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

ECCV 2024 Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li

NeurIPS 2023 Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, 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

AAAI 2023 Feature-Level Debiased Natural Language Understanding Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren

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

IJCAI 2020 Exemplar Guided Neural Dialogue Generation Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin

AAAI 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation Hengyi Cai, Hongshen Chen, Cheng Zhang, Yonghao Song, Xiaofang Zhao, Yangxi Li, Dongsheng Duan, Dawei Yin

IJCAI 2020 Modeling Topical Relevance for Multi-Turn Dialogue Generation Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin

AAAI 2020 Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network Shaoxiong Feng, Hongshen Chen, Kan Li, Dawei Yin

IJCAI 2019 Semi-Supervised User Profiling with Heterogeneous Graph Attention Networks Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang

AAAI 2019 Spectral Clustering in Heterogeneous Information Networks Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin

IJCAI 2018 Learning Tag Dependencies for Sequence Tagging Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin

AAAI 2016 Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu

IJCAI 2016 Timeline Summarization from Social Media with Life Cycle Models Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu

AAAI 2015 Causal Inference via Sparse Additive Models with Application to Online Advertising Wei Sun, Pengyuan Wang, Dawei Yin, Jian Yang, Yi Chang

AISTATS 2015 Consistent Collective Matrix Completion Under Joint Low Rank Structure Suriya Gunasekar, Makoto Yamada, Dawei Yin, Yi Chang

AISTATS 2013 Convex Collective Matrix Factorization Guillaume Bouchard, Dawei Yin, Shengbo Guo

AAAI 2011 Temporal Dynamics of User Interests in Tagging Systems Dawei Yin, Liangjie Hong, Zhenzhen Xue, Brian D. Davison