Xiong, Kai

7 publications

ICLR 2026 Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-Free Curricular Meaningful Learning Kai Xiong, Xiao Ding, Yixin Cao, Li Du, Jiahao Ying, Yang Zhao, Bing Qin, Ting Liu

NeurIPS 2025 UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection Yang Zhao, Kai Xiong, Xiao Ding, Li Du, YangouOuyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu

NeurIPS 2024 Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao

ECCV 2024 PACE: Pose Annotations in Cluttered Environments Yang You, Kai Xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou Fang, Adam Harley, Leonidas Guibas, Cewu Lu

IJCAI 2017 Linear Manifold Regularization with Adaptive Graph for Semi-Supervised Dimensionality Reduction Kai Xiong, Feiping Nie, Junwei Han

IJCAI 2017 Orthogonal and Nonnegative Graph Reconstruction for Large Scale Clustering Junwei Han, Kai Xiong, Feiping Nie

IJCAI 2016 Robust and Sparse Fuzzy K-Means Clustering Jinglin Xu, Junwei Han, Kai Xiong, Feiping Nie