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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.uni-trier.de/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
- 2024
[j13]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): 6746-6756 (2024)- [i120]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. CoRR abs/2401.00028 (2024) - [i119]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 abs/2402.02791 (2024) - [i118]Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang:
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR abs/2402.03749 (2024) - [i117]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i116]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 abs/2402.17133 (2024) - [i115]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 abs/2403.00818 (2024) - [i114]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 abs/2403.01960 (2024) - [i113]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 abs/2403.16368 (2024) - [i112]Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR abs/2403.19928 (2024) - [i111]Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang:
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. CoRR abs/2404.00633 (2024) - [i110]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i109]Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Kai Han, Yunhe Wang:
Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting. CoRR abs/2404.18911 (2024) - [i108]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR abs/2405.02730 (2024) - [i107]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. CoRR abs/2405.05615 (2024) - [i106]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR abs/2405.06228 (2024) - [i105]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. CoRR abs/2405.07542 (2024) - [i104]Yingjie Zhai, Wenshuo Li, Yehui Tang, Xinghao Chen, Yunhe Wang:
No Time to Waste: Squeeze Time into Channel for Mobile Video Understanding. CoRR abs/2405.08344 (2024) - [i103]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. CoRR abs/2405.11582 (2024) - 2023
- [j12]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) - [j11]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) - [j10]Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu:
Improving Lightweight AdderNet via Distillation From ℓ2 to ℓ1-norm. IEEE Trans. Image Process. 32: 5524-5536 (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) - [c102]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 - [c101]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 - [c100]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c99]Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang:
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR 2023: 8244-8253 - [c98]Ning Ding, Yehui Tang, Kai Han, Chao Xu, Yunhe Wang:
Network Expansion For Practical Training Acceleration. CVPR 2023: 20269-20279 - [c97]Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. ICCV 2023: 6651-6660 - [c96]Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han:
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. INTERSPEECH 2023: 226-230 - [c95]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023 - [c94]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 - [c93]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 - [c92]Wei He, Kai Han, Ying Nie, Chengcheng Wang, Yunhe Wang:
Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition. NeurIPS 2023 - [c91]Xinhong Ma, Yiming Wang, Hao Liu, Tianyu Guo, Yunhe Wang:
When Visual Prompt Tuning Meets Source-Free Domain Adaptive Semantic Segmentation. NeurIPS 2023 - [c90]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. NeurIPS 2023 - [c89]Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang:
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. NeurIPS 2023 - [c88]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 - [c87]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 - [i102]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) - [i101]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang:
Less is More: Focus Attention for Efficient DETR. CoRR abs/2307.12612 (2023) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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 abs/2309.15019 (2023) - [i89]Xinjian Wu, Fanhu Zeng, Xiudong Wang, Yunhe Wang, Xinghao Chen:
PPT: Token Pruning and Pooling for Efficient Vision Transformers. CoRR abs/2310.01812 (2023) - [i88]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 abs/2310.19444 (2023) - [i87]Zheyuan Bai, Xinduo Liu, Hailin Hu, Tianyu Guo, Qinghua Zhang, Yunhe Wang:
Data-Free Distillation of Language Model by Text-to-Text Transfer. CoRR abs/2311.01689 (2023) - [i86]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. CoRR abs/2311.17493 (2023) - [i85]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 abs/2312.00674 (2023) - [i84]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 abs/2312.03441 (2023) - [i83]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 abs/2312.07950 (2023) - [i82]Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang:
GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR abs/2312.08880 (2023) - [i81]Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang:
DECO: Query-Based End-to-End Object Detection with ConvNets. CoRR abs/2312.13735 (2023) - [i80]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 abs/2312.13789 (2023) - [i79]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 abs/2312.17276 (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]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CVPR 2020: 1826-1835 - [c30]Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. CVPR 2020: 8382-8390 - [c29]Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR 2020: 11402-11411 - [c28]Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. ECCV (6) 2020: 614-630 - [c27]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. ICML 2020: 4017-4026 - [c26]Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu:
Neural Architecture Search in A Proxy Validation Loss Landscape. ICML 2020: 5853-5862 - [c25]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. IJCAI 2020: 2326-2332 - [c24]Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian:
Discernible Image Compression. ACM Multimedia 2020: 1561-1569 - [c23]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. NeurIPS 2020 - [c22]Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu:
Adapting Neural Architectures Between Domains. NeurIPS 2020 - [c21]Guilin Li, Junlei Zhang, Yunhe Wang, Chuanjian Liu, Matthias Tan, Yunfeng Lin, Wei Zhang, Jiashi Feng, Tong Zhang:
Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts. NeurIPS 2020 - [c20]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS 2020 - [c19]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS 2020 - [c18]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS 2020 - [i41]Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian:
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR abs/2002.00555 (2020) - [i40]Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao:
On Positive-Unlabeled Classification in GAN. CoRR abs/2002.01136 (2020) - [i39]Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu:
Discernible Compressed Images via Deep Perception Consistency. CoRR abs/2002.06810 (2020) - [i38]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 abs/2002.11022 (2020) - [i37]Han Shu, Yunhe Wang:
Automatically Searching for U-Net Image Translator Architecture. CoRR abs/2002.11581 (2020) - [i36]Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
Distilling portable Generative Adversarial Networks for Image Translation. CoRR abs/2003.03519 (2020) - [i35]Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu:
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR abs/2003.11818 (2020) - [i34]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 abs/2005.06821 (2020) - [i33]Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu:
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR abs/2005.14446 (2020) - [i32]Yunhe Wang, Yixing Xu, Dacheng Tao:
DC-NAS: Divide-and-Conquer Neural Architecture Search. CoRR abs/2005.14456 (2020) - [i31]Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu:
Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR abs/2007.05146 (2020) - [i30]Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu:
Multi-Task Pruning for Semantic Segmentation Networks. CoRR abs/2007.08386 (2020) - [i29]Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. CoRR abs/2009.00902 (2020) - [i28]Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu:
Searching for Low-Bit Weights in Quantized Neural Networks. CoRR abs/2009.08695 (2020) - [i27]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR abs/2009.08891 (2020) - [i26]Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang:
Kernel Based Progressive Distillation for Adder Neural Networks. CoRR abs/2009.13044 (2020) - [i25]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu:
Training Binary Neural Networks through Learning with Noisy Supervision. CoRR abs/2010.04871 (2020) - [i24]Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu:
SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR abs/2010.10732 (2020) - [i23]Kai Han, Yunhe Wang, Qiulin Zhang, Wei Zhang, Chunjing Xu, Tong Zhang:
Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets. CoRR abs/2010.14819 (2020) - [i22]Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang:
VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR abs/2011.01507 (2020) - [i21]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. CoRR abs/2012.00364 (2020) - [i20]Mingjian Zhu, Kai Han, Changbin Yu, Yunhe Wang:
Dynamic Feature Pyramid Networks for Object Detection. CoRR abs/2012.00779 (2020) - [i19]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 abs/2012.12556 (2020)
2010 – 2019
- 2019
- [j3]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Packing Convolutional Neural Networks in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2495-2510 (2019) - [c17]Mingjian Zhu, Kai Han, Chao Zhang, Jinlong Lin, Yunhe Wang:
Low-resolution Visual Recognition via Deep Feature Distillation. ICASSP 2019: 3762-3766 - [c16]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. ICCV 2019: 3234-3243 - [c15]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. ICCV 2019: 3513-3521 - [c14]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. ICCV Workshops 2019: 2041-2044 - [c13]Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu:
LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML 2019: 7005-7014 - [c12]Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. IJCAI 2019: 2244-2250 - [c11]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI 2019: 2456-2462 - [c10]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI 2019: 3001-3007 - [c9]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. NeurIPS 2019: 2561-2570 - [i18]Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian:
Data-Free Learning of Student Networks. CoRR abs/1904.01186 (2019) - [i17]Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu:
Co-Evolutionary Compression for Unpaired Image Translation. CoRR abs/1907.10804 (2019) - [i16]Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu:
Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR abs/1907.11837 (2019) - [i15]Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu:
Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR abs/1907.11840 (2019) - [i14]Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu:
Full-Stack Filters to Build Minimum Viable CNNs. CoRR abs/1908.02023 (2019) - [i13]Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu:
CARS: Continuous Evolution for Efficient Neural Architecture Search. CoRR abs/1909.04977 (2019) - [i12]Mingzhu Shen, Kai Han, Chunjing Xu, Yunhe Wang:
Searching for Accurate Binary Neural Architectures. CoRR abs/1909.07378 (2019) - [i11]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. CoRR abs/1909.09757 (2019) - [i10]Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang:
Efficient Residual Dense Block Search for Image Super-Resolution. CoRR abs/1909.11409 (2019) - [i9]Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu:
Balanced Binary Neural Networks with Gated Residual. CoRR abs/1909.12117 (2019) - [i8]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 abs/1910.01523 (2019) - [i7]Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu:
GhostNet: More Features from Cheap Operations. CoRR abs/1911.11907 (2019) - [i6]Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu:
AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR abs/1912.13200 (2019) - 2018
- [c8]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Adversarial Learning of Portable Student Networks. AAAI 2018: 4260-4267 - [c7]Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu:
Autoencoder Inspired Unsupervised Feature Selection. ICASSP 2018: 2941-2945 - [c6]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutionary Compression. KDD 2018: 2476-2485 - [c5]Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao:
Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS 2018: 1615-1625 - [i5]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. CoRR abs/1812.06597 (2018) - 2017
- [j2]Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao:
DCT Regularized Extreme Visual Recovery. IEEE Trans. Image Process. 26(7): 3360-3371 (2017) - [c4]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond RPCA: Flattening Complex Noise in the Frequency Domain. AAAI 2017: 2761-2767 - [c3]Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Beyond Filters: Compact Feature Map for Portable Deep Model. ICML 2017: 3703-3711 - [c2]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. IJCAI 2017: 3336-3342 - [i4]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Privileged Multi-label Learning. CoRR abs/1701.07194 (2017) - [i3]Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao:
Towards Evolutional Compression. CoRR abs/1707.08005 (2017) - 2016
- [j1]Yunhe Wang, Miaojing Shi, Shan You, Chao Xu:
DCT Inspired Feature Transform for Image Retrieval and Reconstruction. IEEE Trans. Image Process. 25(9): 4406-4420 (2016) - [c1]Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu:
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. NIPS 2016: 253-261 - [i2]Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao:
Streaming Label Learning for Modeling Labels on the Fly. CoRR abs/1604.05449 (2016) - [i1]Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu:
Parts for the Whole: The DCT Norm for Extreme Visual Recovery. CoRR abs/1604.05451 (2016)
Coauthor Index
[i118] [i113] [i112] [i111] [i108] [j12] [c102] [c100] [c99] [c95] [c90] [c89] [c87] [i101] [i99] [i97] [i92] [i90] [i86] [i83] [i82] [i79] [c86] [c72] [i74] [j4] [c55] [c54] [c52] [c51] [c49] [c43] [i64] [i56] [i55] [i52] [c38] [c35] [c33] [c32] [i41] [i36] [i34] [i27] [i21] [i19] [c16] [c15] [c13] [c12] [c9] [i18] [i17] [i11] [i8] [i6] [i5]
[j13] [i120] [i119] [i118] [i117] [i116] [i115] [i114] [i110] [i109] [i107] [i105] [j12] [c101] [c98] [c96] [c94] [c93] [c92] [c88] [i102] [i100] [i98] [i96] [i94] [i93] [i91] [i88] [i85] [i79] [j8] [j6] [j5] [c85] [c84] [c81] [c80] [c79] [c77] [c71] [c68] [c67] [c66] [c65] [c64] [i78] [i77] [i71] [i69] [i68] [i67] [c60] [c59] [c58] [c57] [c46] [c45] [c42] [c41] [c40] [i65] [i64] [i63] [i62] [i59] [i58] [i54] [i53] [i51] [i50] [i49] [i48] [i47] [i45] [i44] [i43] [c34] [c29] [c27] [c23] [c18] [i41] [i35] [i28] [i25] [i23] [i22] [i20] [i19] [c17] [c16] [c14] [c11] [c10] [c9] [i17] [i16] [i15] [i14] [i12] [i11] [i9] [i8] [i7] [c7]
[i119] [i117] [i116] [i115] [i110] [i109] [i107] [i106] [i105] [i104] [i103] [j12] [c101] [c98] [c93] [i102] [i98] [i88] [i85] [i83] [i80] [i79] [c85] [c82] [c81] [c80] [c79] [c73] [c71] [c70] [c68] [c64] [i78] [i72] [i71] [i69] [i68] [c57] [c56] [c46] [c42] [i62] [i61] [i58] [i54] [i50] [i49] [i48] [i45] [i43] [c37] [c33] [c32] [c20] [i38] [i34] [i24] [i19] [i8]
[i118] [j11] [j10] [j9] [c94] [c93] [i100] [i88] [j8] [j7] [j6] [c85] [c81] [c80] [c79] [c73] [c69] [c64] [i77] [i69] [i68] [j4] [c62] [c61] [c59] [c58] [c57] [c56] [c55] [c53] [c52] [c51] [c50] [c48] [c47] [c46] [c44] [c42] [c39] [i62] [i61] [i60] [i59] [i55] [i54] [i50] [i48] [i46] [i45] [i44] [i43] [i42] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c22] [c20] [c19] [c18] [i40] [i39] [i38] [i36] [i35] [i34] [i33] [i31] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i21] [j3] [c16] [c15] [c13] [c12] [c11] [c10] [c9] [i18] [i17] [i16] [i15] [i14] [i13] [i11] [i10] [i9] [i8] [i7] [i6] [c8] [c6] [c5] [i5] [j2] [c4] [c3] [c2] [i4] [i3] [c1] [i2] [i1]
[c98] [c90] [i99] [i98] [i86] [i79] [c85] [c82] [c81] [c80] [c72] [c64] [i72] [i69] [j4] [c56] [c55] [c53] [c52] [c46] [i61] [i55] [i54] [i52] [i50] [i45] [i43] [c38] [c37] [c35] [c33] [c32] [c31] [c30] [c24] [c20] [c18] [i40] [i39] [i38] [i36] [i34] [i33] [i28] [i24] [i21] [j3] [c15] [c13] [i18] [i13] [i6] [c8] [c7] [c6] [c5] [i5] [j2] [c4] [c3] [c2] [i4] [i3] [j1] [c1] [i2] [i1]
[j12] [j8] [j6] [i77] [c59] [c58] [c57] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c45] [c42] [i65] [i64] [i63] [i62] [i60] [i59] [i56] [i55] [i48] [i47] [i44] [i42] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c28] [c27] [c24] [c23] [c20] [c19] [c18] [i41] [i38] [i36] [i34] [i33] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i19] [c16] [c15] [c14] [c13] [c11] [c10] [c9] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [i8] [i7] [i6] [c5]
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