PPaperPicks

Kai Han

Huawei Technologies, Noah's Ark Lab

22 papers at tracked venues · 18 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Yehui Tang
×17
Yunhe Wang
×16
Chuanjian Liu
×4
Shibo Jie
×4
Zhi-Hong Deng
×4
Jianyuan Guo
×4
Chengcheng Wang
×3
Yunsheng Ni
×3
Zhenni Bi
×3
Ning Ding
×3
Chang Xu
×3
Xinghao Chen
×2

Papers

  1. MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
    ACL 2026 ·
    Linrui Ma
    ,
    Chun Hei Lo
    ,
    Xinyu Wang
    ,
    Peng Lu
    ,
    Xihao Yuan
    ,
    Hanting Chen
    , Kai Han,
    Xinghao Chen
    ,
    Chengjun Zhan
    ,
    Hanlin Xu
    ,
    Yichun Yin
    ,
    Lifeng Shang
    ,
    Feng Wen
    ,
    Boxing Chen
    ,
    Yufei Cui
  2. PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
    AAAI 2026 ·
    Ye Tian
    ,
    Chengcheng Wang
    ,
    Jing Han
    ,
    Yehui Tang
    , Kai Han
  3. DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models
    NAACL 2025 ·
    Wei He
    , Kai Han,
    Yehui Tang
    ,
    Chengcheng Wang
    ,
    Yujie Yang
    ,
    Tianyu Guo
    ,
    Yunhe Wang
  4. EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
    NAACL 2025 ·
    Yunsheng Ni
    ,
    Chuanjian Liu
    ,
    Yehui Tang
    , Kai Han,
    Yunhe Wang
  5. Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
    AAAI 2025 ·
    Miao Rang
    ,
    Zhenni Bi
    ,
    Chuanjian Liu
    ,
    Yehui Tang
    , Kai Han,
    Yunhe Wang
  6. Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
    ICML 2025 ·
    Zhenni Bi
    , Kai Han,
    Chuanjian Liu
    ,
    Yehui Tang
    ,
    Yunhe Wang
  7. GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task
    WWW 2025 ·
    Ning Ding
    ,
    Yehui Tang
    ,
    Zhongqian Fu
    ,
    Chao Xu
    , Kai Han,
    Yunhe Wang
  8. L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
    AAAI 2025 ·
    Jialong Zuo
    ,
    Ying Nie
    ,
    Tianyu Guo
    ,
    Huaxin Zhang
    ,
    Jiahao Hong
    ,
    Nong Sang
    ,
    Changxin Gao
    , Kai Han
  9. LLM Data Selection and Utilization via Dynamic Bi-level Optimization
    ICML 2025 ·
    Yang Yu
    , Kai Han,
    Hang Zhou
    ,
    Yehui Tang
    ,
    Kaiqi Huang
    ,
    Yunhe Wang
    ,
    Dacheng Tao
  10. Mixture of Lookup Experts
    ICML 2025 ·
    Shibo Jie
    ,
    Yehui Tang
    , Kai Han,
    Yitong Li
    ,
    Duyu Tang
    ,
    Zhi-Hong Deng
    ,
    Yunhe Wang
  11. SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
    ICML 2025 ·
    Shibo Jie
    ,
    Yehui Tang
    , Kai Han,
    Zhi-Hong Deng
    ,
    Jing Han
  12. Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
    ECCV 2024 ·
    Mengyu Zheng
    ,
    Yehui Tang
    ,
    Zhiwei Hao
    , Kai Han,
    Yunhe Wang
    ,
    Chang Xu
  13. An Empirical Study of Scaling Law for Scene Text Recognition
    CVPR 2024 ·
    Miao Rang
    ,
    Zhenni Bi
    ,
    Chuanjian Liu
    ,
    Yunhe Wang
    , Kai Han
  14. Data-efficient Large Vision Models through Sequential Autoregression
    ICML 2024 ·
    Zhiwei Hao
    ,
    Jianyuan Guo
    ,
    Chengcheng Wang
    ,
    Yehui Tang
    ,
    Han Wu
    ,
    Han Hu
    , Kai Han,
    Chang Xu
  15. GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
    ICML 2024 ·
    Ding Jia
    ,
    Jianyuan Guo
    , Kai Han,
    Han Wu
    ,
    Chao Zhang
    ,
    Chang Xu
    ,
    Xinghao Chen
  16. Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
    NeurIPS 2024 ·
    Fangcheng Liu
    ,
    Yehui Tang
    ,
    Zhenhua Liu
    ,
    Yunsheng Ni
    ,
    Duyu Tang
    , Kai Han,
    Yunhe Wang
  17. Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
    ICML 2024 ·
    Shibo Jie
    ,
    Yehui Tang
    ,
    Ning Ding
    ,
    Zhi-Hong Deng
    , Kai Han,
    Yunhe Wang
  18. MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
    NeurIPS 2024 ·
    Ning Ding
    ,
    Yehui Tang
    ,
    Haochen Qin
    ,
    Zhenli Zhou
    ,
    Chao Xu
    ,
    Lin Li
    , Kai Han,
    Heng Liao
    ,
    Yunhe Wang
  19. ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks
    CVPR 2024 · Kai Han,
    Yunhe Wang
    ,
    Jianyuan Guo
    ,
    Enhua Wu
  20. Rethinking Optimization and Architecture for Tiny Language Models
    ICML 2024 ·
    Yehui Tang
    , Kai Han,
    Fangcheng Liu
    ,
    Yunsheng Ni
    ,
    Yuchuan Tian
    ,
    Zheyuan Bai
    ,
    Yi-Qi Hu
    ,
    Sichao Liu
    ,
    Shangling Jui
    ,
    Yunhe Wang
  21. Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
    NeurIPS 2024 ·
    Hang Zhou
    ,
    Yehui Tang
    ,
    Haochen Qin
    ,
    Yujie Yang
    ,
    Renren Jin
    ,
    Deyi Xiong
    , Kai Han,
    Yunhe Wang
  22. Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning
    ECCV 2024 ·
    Shibo Jie
    ,
    Yehui Tang
    ,
    Jianyuan Guo
    ,
    Zhi-Hong Deng
    , Kai Han,
    Yunhe Wang