Yunhe Wang

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 238

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)
Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han
Large OCR Model: An Empirical Study of Scaling Law for OCR. CoRR (2024)
Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. CoRR (2024)
Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. 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)
Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang
Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation. 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)
Keyu Li, Nannan Wang, Jingwei Xin, Xinrui Jiang, Jie Li, Xinbo Gao, Kai Han, Yunhe Wang
Local Means Binary Networks for Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR (2024)
Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
A robust audio deepfake detection system via multi-view feature. 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)
Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR (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)
Ying Nie, Binwei Yan, Tianyu Guo, Hao Liu, Haoyu Wang, Wei He, Binfan Zheng, Weihao Wang, Qiang Li, Weijian Sun, Yunhe Wang, Dacheng Tao
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models. 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)
Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR (2024)
Yujie Yang, Haochen Qin, Hang Zhou, Chengcheng Wang, Tianyu Guo, Kai Han, Yunhe Wang
A Robust Audio Deepfake Detection System via Multi-View Feature. ICASSP (2024)
Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. CoRR (2024)
Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang
Distilling Semantic Priors from SAM to Efficient Image Restoration Models. CoRR (2024)
Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang
Multiscale Positive-Unlabeled Detection of AI-Generated Texts. ICLR (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)
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. NeurIPS (2023)
Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang
Multiscale Positive-Unlabeled Detection of AI-Generated Texts. CoRR (2023)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Kai Han, Yunhe Wang
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. CoRR (2023)
Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. NeurIPS (2023)
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)
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR (2023)
Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image. CoRR (2023)
Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang
GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR (2023)
Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. CoRR (2023)
Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao
Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms. Trans. Mach. Learn. Res. 2023 (2023)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
-norm. IEEE Trans. Image Process. 32 (2023)
Zheyuan Bai, Xinduo Liu, Hailin Hu, Tianyu Guo, Qinghua Zhang, Yunhe Wang
Data-Free Distillation of Language Model by Text-to-Text Transfer. CoRR (2023)
Xinjian Wu, Fanhu Zeng, Xiudong Wang, Yunhe Wang, Xinghao Chen
PPT: Token Pruning and Pooling for Efficient Vision Transformers. CoRR (2023)
Yawei Li, Yulun Zhang, Radu Timofte, Luc Van Gool, Zhijun Tu, Kunpeng Du, Hailing Wang, Hanting Chen, Wei Li, Xiaofei Wang, Jie Hu, Yunhe Wang, Xiangyu Kong, Jinlong Wu, Dafeng Zhang, Jianxing Zhang, Shuai Liu, Furui Bai, Chaoyu Feng, Hao Wang, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Rongjian Xu, Zhilu Zhang, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qi Wu, Mingyan Han, Shen Cheng, Haipeng Li, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Jinting Luo, Wenjie Lin, Lei Yu, Haoqiang Fan, Shuaicheng Liu, Aditya Arora, Syed Waqas Zamir, Javier Vazquez-Corral, Konstantinos G. Derpanis, Michael S. Brown, Hao Li, Zhihao Zhao, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Bo Yang, Jingxiang Chen, Chenghua Li, Xi Zhang, Zhao Zhang, Jiahuan Ren, Zhicheng Ji, Kang Miao, Suiyi Zhao, Huan Zheng, Yanyan Wei, Kangliang Liu, Xiangcheng Du, Sijie Liu, Yingbin Zheng, Xingjiao Wu, Cheng Jin, Rajeev Irny, Sriharsha Koundinya, Vighnesh Kamath, Gaurav Khandelwal, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Shijie Chen, Chengqiang Zhao, Huabin Yang, Zhongjian Zhang, Junjia Huang, Yanru Zhang
NTIRE 2023 Challenge on Image Denoising: Methods and Results. CVPR Workshops (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)
Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR (2023)
Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR (2023)
Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH (2023)
Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. 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)
Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang, Changxin Gao
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. CoRR (2023)
An Xiao, Hanting Chen, Tianyu Guo, Qinghua Zhang, Yunhe Wang
Deep Plug-and-Play Clustering with Unknown Number of Clusters. Trans. Mach. Learn. Res. 2023 (2023)
Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang
Less is More: Focus Attention for Efficient DETR. ICCV (2023)
Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR (2023)
Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang
Network Expansion For Practical Training Acceleration. CVPR (2023)
Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. 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)
Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang
Category Feature Transformer for Semantic Segmentation. CoRR (2023)
Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu, Yunhe Wang, Kai Han
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism. NeurIPS (2023)
Hailing Wang, Wei Li, Yuanyuan Xi, Jie Hu, Hanting Chen, Longyu Li, Yunhe Wang
IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging. CoRR (2023)
Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang
Less is More: Focus Attention for Efficient DETR. 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)
Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang
Towards Higher Ranks via Adversarial Weight Pruning. NeurIPS (2023)
Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang
Data Upcycling Knowledge Distillation for Image Super-Resolution. CoRR (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS (2023)
Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang
Towards Higher Ranks via Adversarial Weight Pruning. CoRR (2023)
Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. NeurIPS (2023)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR (2022)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR (2022)
Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
Patch Slimming for Efficient Vision Transformers. CVPR (2022)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. CoRR (2022)
Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. ECCV (11) (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)
Yixing Xu, Xinghao Chen, Yunhe Wang
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. CoRR (2022)
Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. CoRR (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)
Yixing Xu, Xinghao Chen, Yunhe Wang
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. NeurIPS (2022)
Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao
Instance-Aware Dynamic Neural Network Quantization. CVPR (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)
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR (2022)
Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS (2022)
Xinghao Chen, Yiman Zhang, Yunhe Wang
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks. ICME (2022)
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
Federated Learning with Positive and Unlabeled Data. ICML (2022)
Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
Neural architecture tuning with policy adaptation. Neurocomputing 485 (2022)
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
Multimodal Token Fusion for Vision Transformers. CoRR (2022)
Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao
Source-Free Domain Adaptation via Distribution Estimation. CVPR (2022)
Yijun Tan, Kai Han, Kang Zhao, Xianzhi Yu, Zidong Du, Yunji Chen, Yunhe Wang, Jun Yao
Accelerating Sparse Convolution with Column Vector-Wise Sparsity. NeurIPS (2022)
Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, Yunhe Wang
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. ICME (2022)
Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. 130 (4) (2022)
Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
Random Normalization Aggregation for Adversarial Defense. NeurIPS (2022)
Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang
Multimodal Token Fusion for Vision Transformers. CVPR (2022)
Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR (2022)
Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. 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)
Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. CVPR Workshops (2022)

Yunhe Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yunhe Wang