Yehui Tang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 73

Top Topics

Frequency Domain

Neural Architecture

Top Venues

Publications

Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. CoRR (2024)
Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR (2024)
Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang
Multi-Granularity Semantic Revision for Large Language Model Distillation. CoRR (2024)
Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
Data-efficient Large Vision Models through Sequential Autoregression. CoRR (2024)
Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR (2024)
Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang
DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models. CoRR (2024)
Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR (2024)
Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR (2024)
Yehui Tang, Hao Xiong, Nianzu Yang, Tailong Xiao, Junchi Yan
Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark. ICLR (2024)
Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan
Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space. ICLR (2024)
Chengcheng Wang, Zhiwei Hao, Yehui Tang, Jianyuan Guo, Yujie Yang, Kai Han, Yunhe Wang
SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution. CoRR (2024)
Yingjie Zhai, Wenshuo Li, Yehui Tang, Xinghao Chen, Yunhe Wang
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding. CoRR (2024)
Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. CoRR (2024)
Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR (2024)
Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao
A Survey on Transformer Compression. CoRR (2024)
Yehui Tang, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Kai Han, Yunhe Wang
Rethinking Optimization and Architecture for Tiny Language Models. CoRR (2024)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Vision Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang
GPT4Image: Can Large Pre-trained Models Help Vision Models on Perception Tasks? CoRR (2023)
Ying Nie, Wei He, Kai Han, Yehui Tang, Tianyu Guo, Fanyi Du, Yunhe Wang
LightCLIP: Learning Multi-Level Interaction for Lightweight Vision-Language Models. CoRR (2023)
Xin Ding, Xiaoyu Liu, Yun Zhang, Zhijun Tu, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
CBQ: Cross-Block Quantization for Large Language Models. CoRR (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR (2023)
Han Shu, Wenshuo Li, Yehui Tang, Yiman Zhang, Yihao Chen, Houqiang Li, Yunhe Wang, Xinghao Chen
TinySAM: Pushing the Envelope for Efficient Segment Anything Model. CoRR (2023)
Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang
Network Expansion For Practical Training Acceleration. CVPR (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR (2023)
Yunhe Wang, Hanting Chen, Yehui Tang, Tianyu Guo, Kai Han, Ying Nie, Xutao Wang, Hailin Hu, Zheyuan Bai, Yun Wang, Fangcheng Liu, Zhicheng Liu, Jianyuan Guo, Sinan Zeng, Yinchen Zhang, Qinghua Xu, Qun Liu, Jun Yao, Chao Xu, Dacheng Tao
PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation. CoRR (2023)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CVPR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS (2022)
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation. CoRR (2022)
Yehui Tang, Junchi Yan
GraphQNTK: Quantum Neural Tangent Kernel for Graph Data. NeurIPS (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR (2022)
Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. NeurIPS (2022)
Yehui Tang, Junchi Yan, Edwin R. Hancock
From Quantum Graph Computing to Quantum Graph Learning: A Survey. CoRR (2022)
Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
Spatial-Channel Token Distillation for Vision MLPs. ICML (2022)
Zhiwei Hao, Jianyuan Guo, Ding Jia, Kai Han, Yehui Tang, Chao Zhang, Han Hu, Yunhe Wang
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS (2022)
Yehui Tang, Junchi Yan, Guoqiang Hu, Baohua Zhang, Jinzan Zhou
Recent progress and perspectives on quantum computing for finance. Serv. Oriented Comput. Appl. 16 (4) (2022)
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation. CVPR (2022)
Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR (2022)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS (2022)
Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu
Vision GNN: An Image is Worth Graph of Nodes. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR (2022)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR (2022)
Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR (2022)
Ge Yan, Yehui Tang, Junchi Yan
Towards a Native Quantum Paradigm for Graph Representation Learning: A Sampling-based Recurrent Embedding Approach. KDD (2022)
Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR (2021)
Yuqiao Liu, Yehui Tang, Yanan Sun
Homogeneous Architecture Augmentation for Neural Predictor. ICCV (2021)
Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR (2021)
Yuqiao Liu, Yehui Tang, Yanan Sun
Homogeneous Architecture Augmentation for Neural Predictor. CoRR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR (2021)
Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang
Visual Transformer Pruning. CoRR (2021)
Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR (2021)
Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR (2021)
Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR (2021)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CoRR (2021)
Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
Augmented Shortcuts for Vision Transformers. CoRR (2021)
Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
Manifold Regularized Dynamic Network Pruning. CVPR (2021)
Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS (2021)
Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
Augmented Shortcuts for Vision Transformers. NeurIPS (2021)
Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
Manifold Regularized Dynamic Network Pruning. CoRR (2021)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
A Semi-Supervised Assessor of Neural Architectures. CVPR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR (2020)
Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi
Neuromorphic Camera Guided High Dynamic Range Imaging. CVPR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR (2020)
Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
Frequency Domain Compact 3D Convolutional Neural Networks. CVPR (2020)
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, Zhaohui Yang, Yiman Zhang, Dacheng Tao
A Survey on Visual Transformer. CoRR (2020)
Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS (2020)
Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang
Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI (2020)
Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu
Bringing Giant Neural Networks Down to Earth with Unlabeled Data. CoRR (2019)
Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
RNAS: Architecture Ranking for Powerful Networks. CoRR (2019)