Li, Huaxiong

10 publications

ICLR 2026 Scalable In-Context Q-Learning Jinmei Liu, Fuhong Liu, Zhenhong Sun, Jianye Hao, Huaxiong Li, Bo Wang, Daoyi Dong, Chunlin Chen, Zhi Wang

AAAI 2025 Adaptive-Grained Label Distribution Learning Yunan Lu, Weiwei Li, Dun Liu, Huaxiong Li, Xiuyi Jia

ACML 2025 Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning Lecheng Cao, Junhao Zhang, Xiaohan Zhang, Huaxiong Li

AAAI 2025 Fast Incomplete Multi-View Clustering with Adaptive Similarity Completion and Reconstruction Deng Xu, Chao Zhang, Cong Guo, Chunlin Chen, Huaxiong Li

ICLR 2024 Attention-Guided Contrastive Role Representations for Multi-Agent Reinforcement Learning Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding, Zhi Wang

IJCAI 2024 Continual Multi-View Clustering with Consistent Anchor Guidance Chao Zhang, Deng Xu, Xiuyi Jia, Chunlin Chen, Huaxiong Li

AAAI 2024 Learning Cluster-Wise Anchors for Multi-View Clustering Chao Zhang, Xiuyi Jia, Zechao Li, Chunlin Chen, Huaxiong Li

AAAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen

ICML 2023 Model-Aware Contrastive Learning: Towards Escaping the Dilemmas Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen

MLJ 2023 Ranking-Preserved Generative Label Enhancement Yunan Lu, Weiwei Li, Huaxiong Li, Xiuyi Jia