Li, Wenbin

37 publications

CoRL 2025 AT-Drone: Benchmarking Adaptive Teaming in Multi-Drone Pursuit Yang Li, Junfan Chen, Feng Xue, Jiabin Qiu, Wenbin Li, Qingrui Zhang, Ying Wen, Wei Pan

ICCV 2025 Adapting In-Domain Few-Shot Segmentation to New Domains Without Source Domain Retraining Qi Fan, Kaiqi Liu, Nian Liu, Hisham Cholakkal, Rao Muhammad Anwer, Wenbin Li, Yang Gao

NeurIPS 2025 DON’T NEED RETRAINING: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection Changhan Liu, Xunzhi Xiang, Zixuan Duan, Wenbin Li, Qi Fan, Yang Gao

ICCV 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning Borui Kang, Lei Wang, Zhiping Wu, Tao Feng, Yawen Li, Yang Gao, Wenbin Li

AAAI 2025 Effective and Efficient Representation Learning for Flight Trajectories Shuo Liu, Wenbin Li, Di Yao, Jingping Bi

NeurIPS 2025 Efficient Last-Iterate Convergence in Solving Extensive-Form Games Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Shangdong Yang, Tianyu Ding, Wenbin Li, Bo An, Yang Gao

CVPR 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, Wenbin Li

NeurIPS 2025 Last-Iterate Convergence of Smooth Regret Matching$^+$ Variants in Learning Nash Equilibria Linjian Meng, Youzhi Zhang, Zhenxing Ge, Tianyu Ding, Shangdong Yang, Zheng Xu, Wenbin Li, Yang Gao

ICML 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games Linjian Meng, Wubing Chen, Wenbin Li, Tianpei Yang, Youzhi Zhang, Yang Gao

AAAI 2025 Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi

IJCAI 2024 DTS-TPT: Dual Temporal-Sync Test-Time Prompt Tuning for Zero-Shot Activity Recognition Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang, Tieniu Tan

CVPR 2024 Exploiting Inter-Sample and Inter-Feature Relations in Dataset Distillation Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao

ICLR 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao

AAAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao

IJCAI 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao

ICML 2024 Safe and Robust Subgame Exploitation in Imperfect Information Games Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao

NeurIPS 2023 Efficient Subgame Refinement for Extensive-Form Games Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao

AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao

ICCV 2023 MAP: Towards Balanced Generalization of IID and OOD Through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang

CVPR 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao

TMLR 2023 Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

ECCV 2022 Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang

ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao

ICCV 2021 Manifold Alignment for Semantically Aligned Style Transfer Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao

IJCAI 2020 Asymmetric Distribution Measure for Few-Shot Learning Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo

IJCAI 2020 Biased Feature Learning for Occlusion Invariant Face Recognition Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao

AAAI 2020 Deep Embedded Complementary and Interactive Information for Multi-View Classification Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han

IJCAI 2020 Joint Multi-View 2D Convolutional Neural Networks for 3D Object Classification Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han

AAAI 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao

IJCAI 2020 Learning Task-Aware Local Representations for Few-Shot Learning Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao

AAAI 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo

ECCVW 2018 Answering Visual What-if Questions: From Actions to Predicted Scene Descriptions Misha Wagner, Hector Basevi, Rakshith Shetty, Wenbin Li, Mateusz Malinowski, Mario Fritz, Ales Leonardis

AAAI 2017 Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

WACV 2016 Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Wenbin Li, Mario Fritz

WACV 2014 Robust Optical Flow Estimation for Continuous Blurred Scenes Using RGB-Motion Imaging and Directional Filtering Wenbin Li, Yang Chen, JeeHang Lee, Gang Ren, Darren Cosker

CVPR 2013 Optical Flow Estimation Using Laplacian Mesh Energy Wenbin Li, Darren Cosker, Matthew Brown, Rui Tang

ECCV 2012 Recognizing Materials from Virtual Examples Wenbin Li, Mario Fritz