He, Wei

28 publications

ICLR 2026 AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Jiaqi Liu, Honglin Guo, Yajie Yang, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang

ICLR 2026 R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai

ICLR 2026 VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-World Applications Wei He, Yueqing Sun, Hongyan Hao, Xueyuan Hao, Zhikang Xia, Qi Gu, Hui Su, Xunliang Cai

NeurIPS 2025 CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models Xiao An, Jiaxing Sun, Zihan Gui, Wei He

ICLR 2025 Exploring a Principled Framework for Deep Subspace Clustering Xianghan Meng, Zhiyuan Huang, Wei He, Xianbiao Qi, Rong Xiao, Chun-Guang Li

ICML 2025 LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization Wenzhe Niu, Zongxia Xie, Yanru Sun, Wei He, Man Xu, Chao Hao

ICCV 2025 MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration Zhehui Wu, Yong Chen, Naoto Yokoya, Wei He

WACV 2025 Wavelength- and Depth-Aware Deep Image Prior for Blind Hyperspectral Imagery Deblurring with Coarse Depth Guidance Jiahuan Li, Xiaoyu Dong, Wei He, Naoto Yokoya

MLJ 2024 DPG: A Model to Build Feature Subspace Against Adversarial Patch Attack Yunsheng Xue, Mi Wen, Wei He, Weiwei Li

CPAL 2024 Deep Self-Expressive Learning Chen Zhao, Chun-Guang Li, Wei He, Chong You

CVPR 2024 Learning Without Exact Guidance: Updating Large-Scale High-Resolution Land Cover Maps from Low-Resolution Historical Labels Zhuohong Li, Wei He, Jiepan Li, Fangxiao Lu, Hongyan Zhang

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2023 Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han

NeurIPS 2023 Species196: A One-Million Semi-Supervised Dataset for Fine-Grained Species Recognition Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang

ECCV 2022 BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation Sanqing Qu, Guang Chen, Jing Zhang, Zhijun Li, Wei He, Dacheng Tao

IJCAI 2022 Enhancing Sequential Recommendation with Graph Contrastive Learning Yixin Zhang, Yong Liu, Yonghui Xu, Hao Xiong, Chenyi Lei, Wei He, Lizhen Cui, Chunyan Miao

ECCV 2022 Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang

WACV 2021 CAP: Context-Aware Pruning for Semantic Segmentation Wei He, Meiqing Wu, Mingfu Liang, Siew-Kei Lam

CVPRW 2021 Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang

ECCV 2020 Guided Deep Decoder: Unsupervised Image Pair Fusion Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, Wei He

CVPR 2019 Guaranteed Matrix Completion Under Multiple Linear Transformations Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao

CVPR 2019 Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao

ICLR 2018 A New Method of Region Embedding for Text Classification Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu

IJCAI 2017 Adaptive Hypergraph Learning for Unsupervised Feature Selection Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang, Rongyao Hu, Wei He

AAAI 2017 One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

IJCAI 2016 Agreement-Based Joint Training for Bidirectional Attention-Based Neural Machine Translation Yong Cheng, Shiqi Shen, Zhongjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu

AAAI 2016 Improved Neural Machine Translation with SMT Features Wei He, Zhongjun He, Hua Wu, Haifeng Wang

ICCV 2009 SURF Tracking Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong Lao