Yehui Tang

Huawei Noah's Ark Lab, Beijing, China

26 papers at tracked venues · 20 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-0322-4283 ↗

Venues

ICML ×10 AAAI ×4 ECCV ×4 NeurIPS ×3 NAACL ×2 ACL ×1 ICLR ×1 WWW ×1

Frequent coauthors

Yunhe Wang

×22

Kai Han

×17

Xinghao Chen

×6

Shibo Jie

×4

Zhi-Hong Deng

×4

Chengcheng Wang

×3

Yunsheng Ni

×3

Chuanjian Liu

×3

Ning Ding

×3

Zhiwei Hao

×3

Chang Xu

×3

Zhenliang Ni

×2

Papers

GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection
AAAI 2026 ·
Zhenliang Ni
,
Qiangyu Yan
,
Mouxiao Huang
,
Tianning Yuan
, Yehui Tang,
Hailin Hu
,
Xinghao Chen
,
Yunhe Wang
Multi-Granularity Semantic Revision for Large Language Model Distillation
ACL 2026 ·
Xiaoyu Liu
,
Yun Zhang
,
Wei Li
,
Simiao Li
,
Xudong Huang
,
Hanting Chen
, Yehui Tang,
Jie Hu
,
Zhiwei Xiong
,
Yunhe Wang
PocketLLM: Ultimate Compression of Large Language Models via Meta Networks
AAAI 2026 ·
Ye Tian
,
Chengcheng Wang
,
Jing Han
, Yehui Tang,
Kai Han
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025 ·
Xin Ding
,
Xiaoyu Liu
,
Zhijun Tu
,
Yun Zhang
,
Wei Li
,
Jie Hu
,
Hanting Chen
, Yehui Tang,
Zhiwei Xiong
,
Baoqun Yin
,
Yunhe Wang
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
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models
NAACL 2025 ·
Yunsheng Ni
,
Chuanjian Liu
, Yehui Tang,
Kai Han
,
Yunhe Wang
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts
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
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
WWW 2025 ·
Ning Ding
, Yehui Tang,
Zhongqian Fu
,
Chao Xu
,
Kai Han
,
Yunhe Wang
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
Mixture of Lookup Experts
ICML 2025 ·
Shibo Jie
, Yehui Tang,
Kai Han
,
Yitong Li
,
Duyu Tang
,
Zhi-Hong Deng
,
Yunhe Wang
SlimLLM: Accurate Structured Pruning for Large Language Models
ICML 2025 ·
Jialong Guo
,
Xinghao Chen
, Yehui Tang,
Yunhe Wang
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
ICML 2025 ·
Shibo Jie
, Yehui Tang,
Kai Han
,
Zhi-Hong Deng
,
Jing Han
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025 ·
Han Shu
,
Wenshuo Li
, Yehui Tang,
Yiman Zhang
,
Yihao Chen
,
Houqiang Li
,
Yunhe Wang
,
Xinghao Chen
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
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation
ECCV 2024 ·
Zhenliang Ni
,
Xinghao Chen
,
Yingjie Zhai
, Yehui Tang,
Yunhe Wang
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
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking
ICML 2024 ·
Wenshuo Li
,
Xinghao Chen
,
Han Shu
, Yehui Tang,
Yunhe Wang
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
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
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
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
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization
ICML 2024 ·
Jialong Guo
,
Xinghao Chen
, Yehui Tang,
Yunhe Wang
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
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
Visual Prompting via Partial Optimal Transport
ECCV 2024 ·
Mengyu Zheng
,
Zhiwei Hao
, Yehui Tang,
Chang Xu