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ORCIDYunhe Wang 0001
王云鹤
Person information
- unicode name: 王云鹤
- affiliation: Noah's Ark Lab, Huawei Technologie, Beijing, China
- affiliation (PhD 2018): Peking University, China
Other persons with the same name
- Yunhe Wang 0002
![[0000-0002-0013-4530]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0013-4530")
— Hebei University of Technology, School of Artificial Intelligence, Tianjin, China (and 2 more) - Yunhe Wang 0003 — Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Science, Beijing, China
- Yunhe Wang 0004 — Chinese Academy of Sciences, Institute of Oceanology, Key Laboratory of Marine Geology and Environment, Qingdao, China
- Yunhe Wang 0006 — Jilin University, School of Artificial Intelligence, Changchun, China
- Yunhe Wang 0007 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
- Yunhe Wang 0008 — University of Science and Technology Liaoning, School of Computer Science and Software Engineering, China (and 1 more)
- Yunhe Wang 0009 — Hunan Normal University, College of Information Science and Engineering, Changsha, China
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2020 – today
- 2023
[j11]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): 87-110 (2023)- [j10]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7595-7610 (2023) - [j9]Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu:
Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1639-1650 (2023) - [c91]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: 1905-1921 - [c90]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han:
Masked Image Modeling with Local Multi-Scale Reconstruction. CVPR 2023: 2122-2131 - [c89]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c88]Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang:
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR 2023: 8244-8253 - [c87]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [i90]Haoqing Wang, Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhi-Hong Deng, Kai Han:
Masked Image Modeling with Local Multi-Scale Reconstruction. CoRR abs/2303.05251 (2023) - [i89]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - [i88]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 abs/2305.15781 (2023) - [i87]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 abs/2305.18149 (2023) - [i86]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 abs/2306.00693 (2023) - [i85]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 abs/2306.08571 (2023) - [i84]Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu:
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks. CoRR abs/2306.14525 (2023) - [i83]Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. CoRR abs/2307.12612 (2023) - [i82]Quan Tang, Chuanjian Liu, Fagui Liu, Yifan Liu, Jun Jiang, Bowen Zhang, Kai Han, Yunhe Wang:
Category Feature Transformer for Semantic Segmentation. CoRR abs/2308.05581 (2023) - [i81]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 abs/2309.11331 (2023) - [i80]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 abs/2309.14162 (2023) - [i79]Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang:
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. CoRR abs/2309.14183 (2023) - 2022
- [j8]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): 1050-1069 (2022) - [j7]Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu:
Neural architecture tuning with policy adaptation. Neurocomputing 485: 196-204 (2022) - [j6]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): 7731-7746 (2022) - [j5]Ying Nie, Kai Han, Zhenhua Liu, Chuanjian Liu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. Trans. Mach. Learn. Res. 2022 (2022) - [c86]Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang:
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR 2022: 773-783 - [c85]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: 816-826 - [c84]Chuanjian Liu, Kai Han, An Xiao, Ying Nie, Wei Zhang, Yunhe Wang:
Network Amplification with Efficient MACs Allocation. CVPR Workshops 2022: 1932-1941 - [c83]Wenshuo Li, Xinghao Chen, Jinyu Bai, Xuefei Ning, Yunhe Wang:
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks. CVPR Workshops 2022: 1942-1951 - [c82]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CVPR 2022: 7202-7212 - [c81]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: 10925-10934 - [c80]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CVPR 2022: 12155-12164 - [c79]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu:
CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR 2022: 12165-12175 - [c78]Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang:
Multimodal Token Fusion for Vision Transformers. CVPR 2022: 12176-12185 - [c77]Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao:
Instance-Aware Dynamic Neural Network Quantization. CVPR 2022: 12424-12433 - [c76]Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang:
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. ECCV (11) 2022: 379-395 - [c75]Xinghao Chen, Yiman Zhang, Yunhe Wang:
MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks. ICME 2022: 1-6 - [c74]Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, Yunhe Wang:
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. ICME 2022: 1-6 - [c73]Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu:
Spatial-Channel Token Distillation for Vision MLPs. ICML 2022: 12685-12695 - [c72]Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang:
Federated Learning with Positive and Unlabeled Data. ICML 2022: 13344-13355 - [c71]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. NeurIPS 2022 - [c70]Yuqiao Liu, Yehui Tang, Zeqiong Lv, Yunhe Wang, Yanan Sun:
Bridge the Gap Between Architecture Spaces via A Cross-Domain Predictor. NeurIPS 2022 - [c69]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Random Normalization Aggregation for Adversarial Defense. NeurIPS 2022 - [c68]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 - [c67]Zhishan Li, Ying Nie, Kai Han, Jianyuan Guo, Lei Xie, Yunhe Wang:
A Transformer-Based Object Detector with Coarse-Fine Crossing Representations. NeurIPS 2022 - [c66]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. NeurIPS 2022 - [c65]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 - [c64]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS 2022 - [c63]Yixing Xu, Xinghao Chen, Yunhe Wang:
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. NeurIPS 2022 - [i78]Kai Han, Jianyuan Guo, Yehui Tang, Yunhe Wang:
PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture. CoRR abs/2201.00978 (2022) - [i77]Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian:
GhostNets on Heterogeneous Devices via Cheap Operations. CoRR abs/2201.03297 (2022) - [i76]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. CoRR abs/2201.11679 (2022) - [i75]Min Zhong, Xinghao Chen, Xiaokang Chen, Gang Zeng, Yunhe Wang:
MaskGroup: Hierarchical Point Grouping and Masking for 3D Instance Segmentation. CoRR abs/2203.14662 (2022) - [i74]Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang:
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR abs/2203.14679 (2022) - [i73]Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang:
Multimodal Token Fusion for Vision Transformers. CoRR abs/2204.08721 (2022) - [i72]Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao:
Source-Free Domain Adaptation via Distribution Estimation. CoRR abs/2204.11257 (2022) - [i71]Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu:
Vision GNN: An Image is Worth Graph of Nodes. CoRR abs/2206.00272 (2022) - [i70]Zhijun Tu, Xinghao Chen, Pengju Ren, Yunhe Wang:
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets. CoRR abs/2208.08084 (2022) - [i69]Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang:
GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR abs/2211.12905 (2022) - [i68]Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu:
FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR abs/2212.06593 (2022) - [i67]Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang:
Redistribution of Weights and Activations for AdderNet Quantization. CoRR abs/2212.10200 (2022) - [i66]Yixing Xu, Xinghao Chen, Yunhe Wang:
BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons. CoRR abs/2212.14158 (2022) - 2021
- [j4]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. IEEE Trans. Neural Networks Learn. Syst. 32(1): 25-35 (2021) - [c62]Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu:
Adversarial Robustness through Disentangled Representations. AAAI 2021: 3145-3153 - [c61]Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu:
One-shot Graph Neural Architecture Search with Dynamic Search Space. AAAI 2021: 8510-8517 - [c60]Ying Nie, Kai Han, Yunhe Wang:
Multi-bit Adaptive Distillation for Binary Neural Networks. BMVC 2021: 61 - [c59]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CVPR 2021: 2154-2164 - [c58]Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang:
Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR 2021: 2653-2662 - [c57]Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu:
ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR 2021: 4411-4420 - [c56]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CVPR 2021: 5018-5028 - [c55]Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang:
Learning Student Networks in the Wild. CVPR 2021: 6428-6437 - [c54]Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang:
Data-Free Knowledge Distillation for Image Super-Resolution. CVPR 2021: 7852-7861 - [c53]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR 2021: 10896-10906 - [c52]Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao:
Pre-Trained Image Processing Transformer. CVPR 2021: 12299-12310 - [c51]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR 2021: 15648-15657 - [c50]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV 2021: 4288-4297 - [c49]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. ICML 2021: 6307-6315 - [c48]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS 2021: 6894-6905 - [c47]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Towards Stable and Robust AdderNets. NeurIPS 2021: 13255-13265 - [c46]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. NeurIPS 2021: 15316-15327 - [c45]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. NeurIPS 2021: 15908-15919 - [c44]Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu:
Handling Long-tailed Feature Distribution in AdderNets. NeurIPS 2021: 17902-17912 - [c43]Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang:
Adder Attention for Vision Transformer. NeurIPS 2021: 19899-19909 - [c42]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS 2021: 25553-25565 - [c41]Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. NeurIPS 2021: 27319-27330 - [c40]Zhenhua Liu, Yunhe Wang, Kai Han, Wei Zhang, Siwei Ma, Wen Gao:
Post-Training Quantization for Vision Transformer. NeurIPS 2021: 28092-28103 - [c39]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. NeurIPS 2021: 29578-29589 - [i65]Ying Nie, Kai Han, Zhenhua Liu, An Xiao, Yiping Deng, Chunjing Xu, Yunhe Wang:
GhostSR: Learning Ghost Features for Efficient Image Super-Resolution. CoRR abs/2101.08525 (2021) - [i64]Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao:
AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence. CoRR abs/2101.10015 (2021) - [i63]Kai Han, An Xiao, Enhua Wu, Jianyuan Guo, Chunjing Xu, Yunhe Wang:
Transformer in Transformer. CoRR abs/2103.00112 (2021) - [i62]Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
Learning Frequency Domain Approximation for Binary Neural Networks. CoRR abs/2103.00841 (2021) - [i61]Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu:
Manifold Regularized Dynamic Network Pruning. CoRR abs/2103.05861 (2021) - [i60]Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang:
Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR abs/2103.08357 (2021) - [i59]Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu:
Distilling Object Detectors via Decoupled Features. CoRR abs/2103.14475 (2021) - [i58]Mingjian Zhu, Kai Han, Yehui Tang, Yunhe Wang:
Visual Transformer Pruning. CoRR abs/2104.08500 (2021) - [i57]Jiahao Wang, Han Shu, Weihao Xia, Yujiu Yang, Yunhe Wang:
Coarse-to-Fine Searching for Efficient Generative Adversarial Networks. CoRR abs/2104.09223 (2021) - [i56]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. CoRR abs/2105.05530 (2021) - [i55]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i54]Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao:
Patch Slimming for Efficient Vision Transformers. CoRR abs/2106.02852 (2021) - [i53]Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang:
Dynamic Resolution Network. CoRR abs/2106.02898 (2021) - [i52]Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang:
Federated Learning with Positive and Unlabeled Data. CoRR abs/2106.10904 (2021) - [i51]Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao:
Post-Training Quantization for Vision Transformer. CoRR abs/2106.14156 (2021) - [i50]Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang:
Augmented Shortcuts for Vision Transformers. CoRR abs/2106.15941 (2021) - [i49]Ding Jia, Kai Han, Yunhe Wang, Yehui Tang, Jianyuan Guo, Chao Zhang, Dacheng Tao:
Efficient Vision Transformers via Fine-Grained Manifold Distillation. CoRR abs/2107.01378 (2021) - [i48]Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang:
CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR abs/2107.06263 (2021) - [i47]Chuanjian Liu, Kai Han, An Xiao, Yiping Deng, Wei Zhang, Chunjing Xu, Yunhe Wang:
Greedy Network Enlarging. CoRR abs/2108.00177 (2021) - [i46]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Neural Architecture Dilation for Adversarial Robustness. CoRR abs/2108.06885 (2021) - [i45]Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang:
Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR abs/2108.13341 (2021) - [i44]Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao:
Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR abs/2109.09310 (2021) - [i43]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 abs/2111.12294 (2021) - [i42]Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang:
An Empirical Study of Adder Neural Networks for Object Detection. CoRR abs/2112.13608 (2021) - 2020
- [c38]Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling Portable Generative Adversarial Networks for Image Translation. AAAI 2020: 3585-3592 - [c37]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: 5964-5971 - [c36]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. AAAI 2020: 12007-12014 - [c35]Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020: 1465-1474 - [c34]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features From Cheap Operations. CVPR 2020: 1577-1586 - [c33]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: 1638-1647 - [c32]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: 1807-1816 - [c31]