Yu, Fei

30 publications

ICLR 2026 A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Alex Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

ICLR 2026 Invert4TVG: A Temporal Video Grounding Framework with Inversion Tasks Preserving Action Understanding Ability Chenzhaoyu, Hongnan Lin, Yongwei Nie, Fei Ma, Xuemiao Xu, Fei Yu, Chengjiang Long

ICLR 2026 Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Zhaoqian Dai, Ma Shuguang, Fei Yu, Jiaqing Liang, Yanghua Xiao

ICLR 2026 Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking Jinyi Han, Ying Huang, Ying Liao, Haiquan Zhao, Zishang Jiang, Xinyi Wang, Xikun Lu, Guanghao Zhou, Sihang Jiang, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

AAAI 2025 CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation Yuxuan Wang, Yijun Liu, Fei Yu, Chen Huang, Kexin Li, Zhiguo Wan, Wanxiang Che, Hongyang Chen

ICML 2025 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu

ICCV 2025 PVChat: Personalized Video Chat with One-Shot Learning Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yucheng Chen, Zhenxi Li, Fei Yu, Ming Li, Si Yong Yeo

UAI 2025 Periodical Moving Average Accelerates Gradient Accumulation for Post-Training Yumou Liu, An Li, Chaojie Li, Fei Yu, Benyou Wang

NeurIPS 2025 QFFT, Question-Free Fine-Tuning for Adaptive Reasoning Wanlong Liu, Junxiao Xu, Fei Yu, Yukang Lin, Ke Ji, Wenyu Chen, Lifeng Shang, Yasheng Wang, Yan Xu, Benyou Wang

NeurIPS 2025 ReDit: Reward Dithering for Improved LLM Policy Optimization Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu

NeurIPS 2025 RoMa: A Robust Model Watermarking Scheme for Protecting IP in Diffusion Models Yingsha Xie, Rui Min, Zeyu Qin, Fei Ma, Li Shen, Fei Yu, Xiaochun Cao

NeurIPS 2025 Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Jun-hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Yu

ICLRW 2025 Scaling Flaws of Verifier-Guided Search in Mathematical Reasoning Fei Yu, Yingru Li, Benyou Wang

NeurIPS 2025 Universal Visuo-Tactile Video Understanding for Embodied Interaction Yifan Xie, Mingyang Li, Shoujie Li, Xingting Li, Guangyu Chen, Fei Ma, Fei Yu, Wenbo Ding

IJCAI 2025 VideoHumanMIB: Unlocking Appearance Decoupling for Video Human Motion In-Betweening Haiwei Xue, Zhensong Zhang, Minglei Li, Zonghong Dai, Fei Yu, Fei Ma, Zhiyong Wu

ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Yu

AAAI 2024 A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao, Fei Yu, Zhiguo Wan

IJCAI 2024 ABM: Attention Before Manipulation Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao, Xilong Sun

NeurIPSW 2024 Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Yu

NeurIPSW 2024 Flexora: Flexible Low-Rank Adaptation for Large Language Models Chenxing Wei, Yao Shu, Ying Tiffany He, Fei Yu

AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

ICCV 2023 Accurate 3D Face Reconstruction with Facial Component Tokens Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li

ICCV 2023 MODA: Mapping-Once Audio-Driven Portrait Animation with Dual Attentions Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li

IJCAI 2022 Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao, Fei Yu, Bin Dong, Li Zhang

AAAI 2021 DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang

AAAI 2021 ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graphs Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

ICCVW 2019 Multi-Level Domain Adaptive Learning for Cross-Domain Detection Rongchang Xie, Fei Yu, Jiachao Wang, Yizhou Wang, Li Zhang

MLJ 2017 Maximum Margin Partial Label Learning Fei Yu, Min-Ling Zhang

ACML 2015 Maximum Margin Partial Label Learning Fei Yu, Min-Ling Zhang

IJCAI 2015 Solving the Partial Label Learning Problem: An Instance-Based Approach Min-Ling Zhang, Fei Yu