Biography Publications Preprints Students Teaching Awards Services

Wenbin Li, PhD  

Associate Professor

State Key Laboratory for Novel Software Technology
Institute of Brain-Inspired Intelligence
School of Intelligence Science and Technology
Reasoning and Learning Research Group
Nanjing University, Suzhou Campus, China

Email: liwenbin@nju.edu.cn; liwenbin.nju@gmail.com

Wenbin Li

Biography

I am currently a Tenure-Track Associate Professor of School of Intelligence Science and Technology at Nanjing University and a member of Reasoning and Learning Research Group, led by Prof. Yang Gao. I received my Ph.D. degree in School of Computer Science in December 2019 from Nanjing University. I visited the VIStA group from December 2017 to June 2019 at the University of Rochester, under the supervision of Prof. Jiebo Luo.

Research Interests

My research interests encompass,

  • Brain-inspired Artificial Intelligence: I am particularly focused on few-shot concept learning, continual learning, and brain-inspired cognitive computation models, aiming to advance human-level cognitive intelligence.
  • Efficient Generative AI System: My attention is directed towards hardware-software codesign, model compression, LLM quantization, machine learning compilation, and their practical applications in generative AI models for robotics.
  • Multimodal Foundation Models: In addition, I also have a broad interest in multimodal foundation models, model merging, multi-modal reasoning, as well as the deployment and acceleration of large-scale models on edge devices.

    • News

    Open Source Projects

    Two examples per class in a support set help classify a query LibFewShot A library for training and benchmarking few-shot learning methods. Few-shot Learning
    GitHub arXiv
    Three sequential tasks add new classes while retaining earlier ones LibContinual A framework for implementing and evaluating continual learning methods. Continual Learning
    GitHub arXiv
    Harness CL Continual adaptation for agents by updating their harnesses beyond model parameters. Agent continual learning
    GitHub arXiv
    RSHR-Bench project illustration RSHR-Bench A remote sensing benchmark with images up to 300 megapixels, spanning single-image, multi-image, and multi-turn understanding and reasoning. Remote Sensing Benchmark
    Hugging FacearXiv
    UHR-BAT project illustration UHR-BAT A budget-aware vision-language model preserving tiny, query-critical evidence through multi-scale token selection and region-faithful compression. Budget-aware VLM
    Hugging FacearXiv
    NJU-HARD project illustration NJU-HARD An ultra-high-resolution aerial dataset supporting object detection, object tracking, and visual question answering. Ultra-high-resolution Dataset
    Hugging FacearXiv

    Selected Preprints

    1. Harness Continual Learning: Continual Adaptation Beyond Model Parameters
      Borui Kang, Jinrui Gu, Junhan Lv, Wenbin Li*, Lei Wang, Yang Gao.
      arXiv:2608.19013, 2026
      Code arXiv
    2. When Muon Meets Task Interference: A Spectral Perspective on Continual Learning and Model Merging
      Shangge Liu, Yuehan Yin, Yinghuan Shi, Lei Wang, Wenbin Li*.
      arXiv:2608.27518, 2026
      arXiv
    3. LibContinual: A Comprehensive Library towards Realistic Continual Learning
      Wenbin Li, Shangge Liu, Borui Kang, Yiyang Chen, KaXuan Lew, Yang Chen, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo.
      arXiv:2512.22029, 2026
      Code arXiv
    4. Understanding Dynamic Scenes at Gigapixel Scale: Wide-Area Spatio-Temporal Perception from UAVs
      Yuhang Zhu, Meiyi Zhu, Yunkai Dang, Zhangnan Li, Yuxuan Wang, Wenbin Li*, Hongbing Pan.
      arXiv:2609.18210, 2026
      HuggingFace arXiv
    5. A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs
      Yunkai Dang, Meiyi Zhu, Donghao Wang, Yizhuo Zhang, Jiacheng Yang, Qi Fan, Yuekun Yang, Wenbin Li*,
      Feng Miao, Yang Gao.
      arXiv:2512.17319, 2025
      HuggingFace arXiv

    Selected Journal Publications [Full Publications]

    ( # indicates equal contribution, * indicates corresponding authorship)
    1. 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. (IF = 18.6)
      PDF Code arXiv
    2. 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. (IF = 18.6)
      PDF Code arXiv
    3. 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. (IF = 18.6)
      PDF Code arXiv
    4. 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
    5. 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. (IF = 8.9)
      PDF arXiv

    Selected Conference Publications [Full Publications]

    ( # indicates equal contribution, * indicates corresponding authorship)
    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. 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
    3. 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
    4. 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
    5. Understanding and Enforcing Weight Disentanglement in Task Arithmetic
      Shangge Liu, Yuehan Yin, Lei Wang, Qi Fan, Yinghuan Shi, Wenbin Li*, Yang Gao, Dacheng Tao. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (AC Rate = 25.42%) [Oral]
      PDF Code arXiv
    6. 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*.
      International Conference on Computer Vision (ICCV), 2025. (AC Rate = 24.0%)
      PDF Code
    7. 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*.
      Computer Vision and Pattern Recognition (CVPR), 2025. (AC Rate = 22.1%)
      PDF Code
    8. 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.
      Computer Vision and Pattern Recognition (CVPR), 2024. (AC Rate = 23.6%)
      PDF Code arXiv
    9. Efficient Subgame Refinement for Extensive-form Games
      Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li*, and Yang Gao*.
      Neural Information Processing Systems (NeurIPS), 2023. (AC Rate = 26.1%)
      PDF
    10. Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
      Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao.
      IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. (AC Rate = 25.8%)
      PDF Code arXiv
    11. LoFGAN: Fusing Local Representations for Few-shot Image Generation
      Zheng Gu#, Wenbin Li#, Jing Huo, Lei Wang, Yang Gao.
      International Conference on Computer Vision (ICCV), 2021. (AC Rate = 26.2%)
      PDF Code
    12. 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
    13. 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 Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (AC Rate = 25.2%)
      PDF Code arXiv
    14. 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

    Student Mentoring & Supervision

    († indicates co-supervision with Prof. Yang Gao.)
    Name Department Starting Graduated Program First Job
    Dongdong Ren† ESE 2021.9 2025.6 Ph.D. 吉利汽车
    Yuhang Zhu† ESE 2023.9 in progress Ph.D. -
    Zhiping Wu† ESE 2024.9 in progress Ph.D. -
    Yunchen Wu† CS 2024.9 in progress Ph.D. -
    Borui Kang IS 2025.9 in progress Ph.D.
    Liuyuan Wen IS 2025.9 in progress Ph.D. -
    Yunkai Dang IS 2025.9 in progress Ph.D. -
    Jiacheng Yang IS 2025.9 in progress Ph.D. -
    Shangge Liu IS 2026.9 in progress Ph.D.
    Jingyao Gong IS 2026.9 in progress Ph.D. -
    Chengyu Zhouyang IS 2026.9 in progress Ph.D. -
    Ziyi Wang CS 2020.9 2023.6 M.S. 壁仞科技
    Xuesong Yang CS 2020.9 2023.6 M.S. 壁仞科技
    Boyao Shi CS 2020.9 2023.6 M.S. 农业银行
    Jiayan Chen CS 2020.9 2023.6 M.S. 华为
    Mengying Sun CS 2021.9 2024.6 M.S. 美团
    Yakun Xiong CS 2021.9 2024.6 M.S. 地平线
    Zhichen Fan CS 2021.9 2024.6 M.S. 中国电信
    Wenxiao Deng CS 2022.9 2025.6 M.S. 阿里淘天
    Yiyang Chen CS 2023.9 2026.6 M.S. 快手
    Wei Lai CS 2023.9 2026.6 M.S. 字节跳动
    Bing Li CS 2023.9 2026.6 M.S. 中国移动
    Shangge Liu CS 2024.9 2026.9 M.S. 硕转博
    Jiaxin Li IS 2025.9 in progress M.S. -
    Zhengjie Zhang IS 2025.9 in progress M.S. -
    Yang Chen IS 2025.9 in progress M.S.
    Yiru Shi IS 2026.9 in progress M.S. -

    Teaching

    Awards

    Services

    © 2026 Wenbin Li | Last update: Aug. 2026