Journal Publications

  1. Adaptive conductance optimization for suppressing wire-resistance-induced errors in crossbar arrays
    Yichen Zhao, Cong Wang, Zhiping Wu, Dehe Kong, Wei Wei, Shuo Ding, Xing-Jian Yangdong, Yu Shen, Yu Wang, Jun Zhang, Wenbin Li*, Shi-Jun Liang*, Feng Miao*
    Cell Device, 2026.
    PDF
  2. Training-free video editing via optical flow-enhanced score distillation
    Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao
    Pattern Recognition (PR), 2026.
    PDF Code arXiv
  3. Unsupervised few-shot learning with object-aware and attribute-consistent augmentation
    Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Wenbin Li*, Yang Gao, Xingqun Jiang
    Pattern Recognition (PR), 2026.
    PDF Code arXiv
  4. In-sensor wireless computing for intelligent remote sensing
    Yong Wang, Yuekun Yang, Ni Yang, Tianjiao Jiao, Wentao Yu, Zhangnan Li, Wenbin Li, Quan Liu, Chenyang Li, Zhoujie Zeng, Xing-Jian Yangdong, Gong-Jie Ruan, Pengfei Wang, Chen Pan, Yi Wan, Lain-Jong Li, Shi-Jun Liang, Feng Miao
    Nature Sensors, 2026.
    PDF Code arXiv
  5. FISN: FInding Spatial Neighborhoods for Generalizable Novel View Synthesis
    Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yang Gao
    IEEE Transactions on Visualization and Computer Graphics (TVCG), 2026.
    PDF Code arXiv
  6. A continual learning framework with long-term and multiple short-term memory networks
    Shangge Liu, Lei Wang, Rui Yan, Jing Huo, Wenbin Li*, Yang Gao
    Neural Networks (NN), 2026.
    PDF Code arXiv
  7. REST: A resolution preserving network for photorealistic style transfer via semantic distillation
    Jing Huo, Zheng Gu, Jiulin Zhang, Xiangde Liu, Shiyin Jin, Pingzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
    Computer Vision and Image Understanding (CVIU), 2025.
    PDF Code arXiv
  8. AMPL: An adaptive meta-prompt learner for few-shot image classification
    Zhiping Wu, Lian Huai, Tong Liu, Zeyu Shangguan, Lei Wang, Jing Huo, Wenbin Li*, Yang Gao, Xingqun Jiang
    Neural Networks (NN), 2025.
    PDF Code arXiv
  9. Coordinating multi-agent reinforcement learning via dual collaborative constraints
    Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao
    Neural Networks (NN), 2025.
    PDF Code arXiv
  10. Dictionary based generative adversarial network for multi-collection style transfer
    Jing Huo, Shiyin Jin, Jiashen Li, Pinzhuo Tian, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
    IEEE Transactions on Multimedia (TMM), 2025.
    PDF Code arXiv
  11. ONNXPruner: ONNX-Based General Model Pruning Adapter
    Dongdong Ren, Wenbin Li*, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, and Yang Gao.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
    PDF Code arXiv
  12. Weakmedsam: Weakly-supervised medical image segmentation via sam with sub-class exploration and prompt affinity mining
    Haoran Wang, Lian Huai, Wenbin Li, Lei Qi, Xingqun Jiang, Yinghuan Shi
    IEEE Transactions on Medical Imaging (TMI), 2025.
    PDF Code arXiv
  13. Leveraging Frequency Analysis for Image Denoising Network Pruning
    Dongdong Ren, Wenbin Li*, Tianyu Ding, Jing Huo, Lei Wang, Hongbing Pan, and Yang Gao.
    IEEE Transactions on Image Processing (TIP), 2025.
    PDF Code arXiv
  14. 3d gaussian splatting: Survey, technologies, challenges, and opportunities
    Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
    IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2025.
    PDF Code arXiv
  15. Multi-task multi-agent reinforcement learning with interaction and task representations
    Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Tianyu Ding, Wenbin Li, Yang Gao
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
    PDF Code arXiv
  16. Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning
    Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
    Neural Networks (NN), 2024.
    PDF Code arXiv
  17. Attention-based investigation and solution to the trade-off issue of adversarial training
    Changbin Shao, Wenbin Li, Jing Huo, Zhenhua Feng, Yang Gao
    Neural Networks (NN), 2024.
    PDF Code arXiv
  18. Learning multi-intersection traffic signal control via coevolutionary multi-agent reinforcement learning
    Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao
    IEEE Transactions on Intelligent Transportation Systems (TITS), 2024.
    PDF Code arXiv
  19. Towards efficient image and video style transfer via distillation and learnable feature transformation
    Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
    Computer Vision and Image Understanding (CVIU), 2024.
    PDF Code arXiv
  20. MetaLayer: a meta-learned BSDF model for layered materials
    Jie Guo, Zeru Li, Xueyan He, Beibei Wang, Wenbin Li, Yanwen Guo, Ling-Qi Yan
    ACM Transactions on Graphics (TOG), 2023.
    PDF Code arXiv
  21. WToE: Learning when to explore in multiagent reinforcement learning
    Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
    IEEE Transactions on Cybernetics (TCYB), 2023.
    PDF Code arXiv
  22. Defensive Few-shot Learning
    Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    PDF Code arXiv
  23. LibFewShot: A Comprehensive Library for Few-shot Learning
    Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao and Jiebo Luo.
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
    PDF Code arXiv
  24. Global-and local-aware feature augmentation with semantic orthogonality for few-shot image classification
    Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao
    Pattern Recognition (PR), 2023.
    PDF Code arXiv
  25. A Multilayer Framework for Online Metric Learning
    Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
    PDF Code arXiv
  26. Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings
    Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao and Jiebo Luo.
    Transactions on Machine Learning Research (TMLR), 2023.
    PDF Code arXiv
  27. Online Passive-Aggressive Active Learning for Trapezoidal Data Streams
    Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
    PDF Code arXiv
  28. CAST: Learning both geometric and texture style transfers for effective caricature generation
    Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo
    IEEE Transactions on Image Processing (TIP), 2022.
    PDF Code arXiv
  29. Local descriptor-based multi-prototype network for few-shot learning
    Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao
    Pattern Recognition (PR), 2021.
    PDF Code arXiv
  30. Temperature network for few-shot learning with distribution-aware large-margin metric
    Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo
    Pattern Recognition (PR), 2021.
    PDF Code arXiv
  31. Carime: Unpaired caricature generation with multiple exaggerations
    Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
    IEEE Transactions on Multimedia (TMM), 2021.
    PDF Code arXiv
  32. Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning
    Pinzhuo Tian, Wenbin Li, Yang Gao
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021.
    PDF Code arXiv
  33. Carigan: Caricature generation through weakly paired adversarial learning
    Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
    Neural Networks (NN), 2020.
    PDF Code arXiv
  34. OPML: A one-pass closed-form solution for online metric learning
    Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
    Pattern Recognition (PR), 2018.
    PDF Code arXiv

Conference Publications

  1. HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework
    Jiacheng Yang, Anqi Chen, Yunkai Dang, Qi Fan, Cong Wang, Wenbin Li*, Feng Miao, Yang Gao.
    European Conference on Computer Vision (ECCV), 2026. (AC Rate = 27.5%)
    PDF Code arXiv
  2. SEERBench: A Spatial Ego-Exo Reasoning Benchmark for MLLMs with a Simple Yet Effective Baseline
    Fengyuan Lu, Jiahe Feng, Zhengyang Zhou, Shaofeng Zhang, Wenbin Li, Qi Fan, Yang Gao.
    European Conference on Computer Vision (ECCV), 2026. (AC Rate = 27.5%)
    PDF Code arXiv
  3. VideoTIR: Accurate Understanding for Long Videos with Efficient Tool-Integrated Reasoning
    Zhe Gao, Shiyu Shen, Taifeng Chai, Weinong Wang, Haotian Xu, Xing W, Wenbin Li, Qi Fan, Yang Gao, Dacheng Tao.
    European Conference on Computer Vision (ECCV), 2026. (AC Rate = 27.5%)
    PDF Code arXiv
  4. Don't Forget Why You Started: Tackling Dual Forgetting in Vision-Language Continual Learning
    Borui Kang, Jinrui Gu, Tao Feng, Qi Fan, Yinghuan Shi, Lei Wang, Wenbin Li*, Yang Gao.
    International Conference on Machine Learning (ICML), 2026. (AC Rate = 26.6%)
    PDF Code arXiv
  5. SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
    Zhengxuan Wei, Yi Dong, Zonghui Li, Xianhui Lin, Xing Liu, Hong Gu, Shaofeng Zhang, Wenbin Li, Qi Fan.
    International Conference on Machine Learning (ICML), 2026. (AC Rate = 26.6%)
    PDF Code arXiv
  6. The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
    Liuyuan Wen, Xun Zhu, Lihao Huang, Wenbin Li*, Yang Gao.
    International Conference on Machine Learning (ICML), 2026. (AC Rate = 26.6%)
    PDF Code arXiv
  7. UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing
    Yunkai Dang, Minxin Dai, Yuekun Yang, Zhangnanli, Wenbin Li*, Feng Miao, Yang Gao.
    International Conference on Machine Learning (ICML), 2026. (AC Rate = 26.6%)
    PDF Code arXiv
  8. Prompt-Free Universal Region Proposal Network
    Qihong Tang, Changhan Liu, Shaofeng Zhang,Wenbin Li, Qi Fan, Yang Gao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (AC Rate = 25.42%)
    PDF Code arXiv
  9. SAME: Sparse and Anchored Model Editing for Heterogeneous Incremental Learning under Limited Data
    Zixuan Duan, Zeyu Zhang, Fengyuan Lu, Shaofeng Zhang, Wenbin Li, Qi Fan, Yang Gao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (AC Rate = 25.42%) [Highlight]
    PDF Code arXiv
  10. Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation
    Junyuan Ma, Xunzhi Xiang, Wenbin Li, Qi Fan, Yang Gao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (AC Rate = 25.42%)
    PDF Code arXiv
  11. Understanding and Enforcing Weight Disentanglement in Task Arithmetic
    Shangge Liu, Yuehan Yin, Lei Wang, Qi Fan, Yinghuan Shi, Wenbin Li*, Yang Gao, Dacheng Tao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (AC Rate = 25.42%) [Oral]
    PDF Code arXiv
  12. Faster Parameter-Free Regret Matching Algorithms
    Linjian Meng, Youzhi Zhang, Shangdong Yang, Wenbin Li, Tianyu Ding, Yang Gao.
    International Conference on Learning Representations (ICLR), 2026. (AC Rate = 27.4%)
    PDF Code arXiv
  13. QPrompt-R1: Real-Time Reasoning for Domain-Generalized Semantic Segmentation via Group-Relative Query Alignment
    Fengyuan Lu, Zixuan Duan, Xunzhi Xiang, Zhicheng Zhang, Wenbin Li, Yang Gao, Qi Fan.
    International Conference on Learning Representations (ICLR), 2026. (AC Rate = 27.4%)
    PDF Code arXiv
  14. Retain and Adapt: Auto-Balanced Model Editing for Open-Vocabulary Object Detection under Domain Shifts
    Zixuan Duan, Fengyuan Lu, Xunzhi Xiang, Wenbin Li, Yang Gao, Qi Fan.
    International Conference on Learning Representations (ICLR), 2026. (AC Rate = 27.4%)
    PDF Code arXiv
  15. Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models
    Ziwei Liu#, Borui Kang#, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Jun Luo, Yifan Zhu, Tao Feng.
    AAAI Conference on Artificial Intelligence (AAAI), 2026. (AC Rate = 17.6%)
    PDF Code arXiv
  16. Don’t Need Retraining: A Mixture of DETR and Vision Foundation Models for Cross-Domain Few-Shot Object Detection
    Chang-Han Liu, Xunzhi Xiang, Zixuan Duan, Wenbin Li, Yang Gao, Qi Fan.
    Conference on Neural Information Processing Systems (NeurIPS), 2025. (AC Rate = 24.52%)
    PDF Code arXiv
  17. Efficient Last-Iterate Convergence in Solving Extensive-Form Games
    Linjian Meng, Youzhi Zhang, Shangdong Yang, Tianyu Ding, Zhenxing Ge, Wenbin Li, Tianpei Yang, Bo An, Yang Gao.
    Conference on Neural Information Processing Systems (NeurIPS), 2025. (AC Rate = 24.52%)
    PDF Code arXiv
  18. 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.
    Conference on Neural Information Processing Systems (NeurIPS), 2025. (AC Rate = 24.52%)
    PDF Code arXiv
  19. Robust dataset distillation by matching adversarial trajectories
    Wei Lai, Yuhang Zhu, Wenbin Li*
    International Conference on Data Science and Intelligent Systems (DSIS), 2025.
    PDF Code arXiv
    [Best student paper award]
  20. Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining
    Qi Fan, Kai-Qi Liu, Nian Liu, Hisham Cholakkal, Rao Muhammad Anwer, Wenbin Li, Yang Gao.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (AC Rate = 24.0%)
    PDF Code arXiv
  21. 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*.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2025. (AC Rate = 24.0%)
    PDF Code arXiv
  22. 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.
    Conference on Robot Learning (CoRL), 2025. (AC Rate = 35.7%)
    PDF Code arXiv
  23. Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games
    Linjian Meng, Youzhi Zhang, Wubing Chen, Wenbin Li, Tianpei Yang, and Yang Gao.
    International Conference on Machine Learning (ICML), 2025. (AC Rate = 26.9%) [Spotlight poster]
    PDF Code arXiv
  24. Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration
    Yiyang Chen, Tianyu Ding, Lei Wang, Jing Huo, Yang Gao, and Wenbin Li*.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025. (AC Rate = 22.1%)
    PDF Code arXiv
  25. Text and image are mutually beneficial: Enhancing training-free few-shot classification with clip
    Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi
    AAAI Conference on Artificial Intelligence (AAAI), 2025. (AC Rate = 23.4%)
    PDF Code arXiv
  26. DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition
    Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li*, Jinghui Tang, Tieniu Tan.
    International Joint Conference on Artificial Intelligence (IJCAI), 2024. (AC Rate = 14.3%)
    PDF Code arXiv
  27. 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*.
    International Joint Conference on Artificial Intelligence (IJCAI), 2024. (AC Rate = 14.3%)
    PDF Code arXiv
  28. Safe and Robust Subgame Exploitation in Imperfect Information Games
    Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, and Yang Gao.
    International Conference on Machine Learning (ICML), 2024. (AC Rate = 27.5%)
    PDF Code arXiv
  29. Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation
    Wenxiao Deng, Wenbin Li*, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, and Yang Gao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. (AC Rate = 23.6%)
    PDF Code arXiv
  30. InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
    Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, and Yang Gao.
    International Conference on Learning Representations (ICLR), 2024. (AC Rate = 30.96%)
    PDF Code arXiv
  31. 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.
    AAAI Conference on Artificial Intelligence (AAAI), 2024. (AC Rate = 23.75%)
    PDF Code arXiv
  32. Efficient Subgame Refinement for Extensive-form Games
    Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li*, and Yang Gao*.
    Conference on Neural Information Processing Systems (NeurIPS), 2023. (AC Rate = 26.1%)
    PDF Code arXiv
  33. Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs
    Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, and Yang Gao.
    ACM International Conference on Multimedia (ACM MM), 2023. (AC Rate = 24.6%)
    PDF Code arXiv
  34. MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
    Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023. (AC Rate = 26.7%) [Oral]
    PDF Code arXiv
  35. Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
    Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (AC Rate = 25.8%)
    PDF Code arXiv
  36. Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning
    Wubing Chen, Wenbin Li*, Xiao Liu, Shangdong Yang, Yang Gao.*
    AAAI Conference on Artificial Intelligence (AAAI), 2023. (AC Rate = 19.6%) [Oral]
    PDF Code arXiv
  37. Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
    Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang.
    European Conference on Computer Vision (ECCV), 2022. (AC Rate = 28.4%)
    PDF Code arXiv
  38. LoFGAN: Fusing Local Representations for Few-shot Image Generation
    Zheng Gu#, Wenbin Li#, Jing Huo, Lei Wang, Yang Gao.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (AC Rate = 26.2%)
    PDF Code arXiv
  39. Manifold Alignment for Semantically Aligned Style Transfer
    Jing Huo, Shiyin Jin, Wenbin Li*, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao.
    IEEE/CVF International Conference on Computer Vision (ICCV), 2021. (AC Rate = 26.2%)
    PDF Code arXiv
  40. Asymmetric Distribution Measure for Few-shot Learning
    Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo.
    International Joint Conference on Artificial Intelligence (IJCAI), 2020. (AC Rate = 12.6%)
    PDF Code arXiv
  41. Biased Feature Learning for Occlusion Invariant Face Recognition
    Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao.
    International Joint Conference on Artificial Intelligence (IJCAI), 2020. (AC Rate = 12.6%)
    PDF Code arXiv
  42. Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification
    Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han.
    International Joint Conference on Artificial Intelligence (IJCAI), 2020. (AC Rate = 12.6%)
    PDF Code arXiv
  43. Learning Task-aware Local Representations for Few-shot Learning
    Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao.
    International Joint Conference on Artificial Intelligence (IJCAI), 2020. (AC Rate = 12.6%)
    PDF Code arXiv
  44. Deep Embedded Complementary and Interactive Information for Multi-view Classification
    Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han.
    AAAI Conference on Artificial Intelligence (AAAI), 2020. (AC Rate = 20.6%)
    PDF Code arXiv
  45. Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio
    Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao.
    AAAI Conference on Artificial Intelligence (AAAI), 2020. (AC Rate = 20.6%)
    PDF Code arXiv
  46. Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
    Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo.
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (AC Rate = 25.2%)
    PDF Code arXiv
  47. Distribution Consistency based Covariance Metric Networks for Few-shot Learning
    Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo.
    AAAI Conference on Artificial Intelligence (AAAI), 2019. (AC Rate = 16.2%) [Oral]
    PDF Code arXiv
  48. A Joint Local and Global Deep Metric Learning Method for Caricature Recognition
    Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
    Asian Conference on Computer Vision (ACCV), 2018. (AC Rate = 28.0%)
    PDF Code arXiv
  49. WebCaricature: A Benchmark for Caricature Face Recognition
    Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
    British Machine Vision Conference (BMVC), 2018. (AC Rate = 29.5%)
    PDF Code arXiv
  50. Beyond IId: Learning to combine non-iid metrics for vision tasks
    Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen
    AAAI Conference on Artificial Intelligence (AAAI), 2017. (AC Rate = 24.63%)
    PDF Code arXiv
  51. Interactive image segmentation via cascaded metric learning
    Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao
    IEEE International Conference on Image Processing (ICIP), 2015. (AC Rate = 45%)
    PDF Code arXiv