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Kai Han
Huawei Technologies, Noah's Ark Lab
22 papers at tracked venues · 18 at CORE A* · active 2024–2026
DBLP profile ↗
ORCID 0000-0002-9761-2702 ↗
Homepage ↗
Venues
ICML
×8
AAAI
×3
NeurIPS
×3
CVPR
×2
ECCV
×2
NAACL
×2
ACL
×1
WWW
×1
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
MATCH: Modulating Attention via In-Context Retrieval for Long-Context Transformers
BibTeX ⧉
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
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
BibTeX ⧉
AAAI 2026
·
Ye Tian
,
Chengcheng Wang
,
Jing Han
,
Yehui Tang
,
Kai Han
DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models
BibTeX ⧉
NAACL 2025
·
Wei He
,
Kai Han
,
Yehui Tang
,
Chengcheng Wang
,
Yujie Yang
,
Tianyu Guo
,
Yunhe Wang
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
BibTeX ⧉
NAACL 2025
·
Yunsheng Ni
,
Chuanjian Liu
,
Yehui Tang
,
Kai Han
,
Yunhe Wang
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
BibTeX ⧉
AAAI 2025
·
Miao Rang
,
Zhenni Bi
,
Chuanjian Liu
,
Yehui Tang
,
Kai Han
,
Yunhe Wang
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning
BibTeX ⧉
ICML 2025
·
Zhenni Bi
,
Kai Han
,
Chuanjian Liu
,
Yehui Tang
,
Yunhe Wang
GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task
BibTeX ⧉
WWW 2025
·
Ning Ding
,
Yehui Tang
,
Zhongqian Fu
,
Chao Xu
,
Kai Han
,
Yunhe Wang
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
BibTeX ⧉
AAAI 2025
·
Jialong Zuo
,
Ying Nie
,
Tianyu Guo
,
Huaxin Zhang
,
Jiahao Hong
,
Nong Sang
,
Changxin Gao
,
Kai Han
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
BibTeX ⧉
ICML 2025
·
Yang Yu
,
Kai Han
,
Hang Zhou
,
Yehui Tang
,
Kaiqi Huang
,
Yunhe Wang
,
Dacheng Tao
Mixture of Lookup Experts
BibTeX ⧉
ICML 2025
·
Shibo Jie
,
Yehui Tang
,
Kai Han
,
Yitong Li
,
Duyu Tang
,
Zhi-Hong Deng
,
Yunhe Wang
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
BibTeX ⧉
ICML 2025
·
Shibo Jie
,
Yehui Tang
,
Kai Han
,
Zhi-Hong Deng
,
Jing Han
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models
BibTeX ⧉
ECCV 2024
·
Mengyu Zheng
,
Yehui Tang
,
Zhiwei Hao
,
Kai Han
,
Yunhe Wang
,
Chang Xu
An Empirical Study of Scaling Law for Scene Text Recognition
BibTeX ⧉
CVPR 2024
·
Miao Rang
,
Zhenni Bi
,
Chuanjian Liu
,
Yunhe Wang
,
Kai Han
Data-efficient Large Vision Models through Sequential Autoregression
BibTeX ⧉
ICML 2024
·
Zhiwei Hao
,
Jianyuan Guo
,
Chengcheng Wang
,
Yehui Tang
,
Han Wu
,
Han Hu
,
Kai Han
,
Chang Xu
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
BibTeX ⧉
ICML 2024
·
Ding Jia
,
Jianyuan Guo
,
Kai Han
,
Han Wu
,
Chao Zhang
,
Chang Xu
,
Xinghao Chen
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting
BibTeX ⧉
NeurIPS 2024
·
Fangcheng Liu
,
Yehui Tang
,
Zhenhua Liu
,
Yunsheng Ni
,
Duyu Tang
,
Kai Han
,
Yunhe Wang
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
BibTeX ⧉
ICML 2024
·
Shibo Jie
,
Yehui Tang
,
Ning Ding
,
Zhi-Hong Deng
,
Kai Han
,
Yunhe Wang
MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers
BibTeX ⧉
NeurIPS 2024
·
Ning Ding
,
Yehui Tang
,
Haochen Qin
,
Zhenli Zhou
,
Chao Xu
,
Lin Li
,
Kai Han
,
Heng Liao
,
Yunhe Wang
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks
BibTeX ⧉
CVPR 2024
·
Kai Han
,
Yunhe Wang
,
Jianyuan Guo
,
Enhua Wu
Rethinking Optimization and Architecture for Tiny Language Models
BibTeX ⧉
ICML 2024
·
Yehui Tang
,
Kai Han
,
Fangcheng Liu
,
Yunsheng Ni
,
Yuchuan Tian
,
Zheyuan Bai
,
Yi-Qi Hu
,
Sichao Liu
,
Shangling Jui
,
Yunhe Wang
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
BibTeX ⧉
NeurIPS 2024
·
Hang Zhou
,
Yehui Tang
,
Haochen Qin
,
Yujie Yang
,
Renren Jin
,
Deyi Xiong
,
Kai Han
,
Yunhe Wang
Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning
BibTeX ⧉
ECCV 2024
·
Shibo Jie
,
Yehui Tang
,
Jianyuan Guo
,
Zhi-Hong Deng
,
Kai Han
,
Yunhe Wang