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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.dagstuhl.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
- Yunhe Wang 0010 — Chongqing University of Telecommunications and Posts, Chongqing Key Laboratory of Computational Intelligence, China
- Yunhe Wang 0011 — Wuhan University, School of Computer Science, China
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2020 – today
- 2024
[j15]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)- [c117]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for Scene Text Recognition. CVPR 2024: 15619-15629 - [c116]Kai Han, Yunhe Wang, Jianyuan Guo, Enhua Wu:
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks. CVPR 2024: 15751-15761 - [c115]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. CVPR 2024: 22010-22019 - [c114]Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang:
Image Processing GNN: Breaking Rigidity in Super-Resolution. CVPR 2024: 24108-24117 - [c113]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. CVPR 2024: 25409-25419 - [c112]Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Token Compensator: Altering Inference Cost of Vision Transformer Without Re-tuning. ECCV (16) 2024: 76-94 - [c111]Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu:
Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) 2024: 109-125 - [c110]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. ECCV (52) 2024: 239-255 - [c109]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: 13131-13135 - [c108]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 - [c107]Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. ICML 2024 - [c106]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. ICML 2024 - [c105]Shibo Jie, Yehui Tang, Ning Ding, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning. ICML 2024 - [c104]Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang:
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. ICML 2024 - [c103]Yehui Tang, Kai Han, Fangcheng Liu, Yunsheng Ni, Yuchuan Tian, Zheyuan Bai, Yi-Qi Hu, Sichao Liu, Shangling Jui, Yunhe Wang:
Rethinking Optimization and Architecture for Tiny Language Models. ICML 2024 - [i129]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. CoRR abs/2401.00028 (2024) - [i128]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) - [i127]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) - [i126]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i125]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) - [i124]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) - [i123]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) - [i122]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) - [i121]Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR abs/2403.19928 (2024) - [i120]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) - [i119]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i118]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) - [i117]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) - [i116]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) - [i115]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR abs/2405.06228 (2024) - [i114]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) - [i113]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) - [i112]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) - [i111]Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang:
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. CoRR abs/2406.11257 (2024) - [i110]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 abs/2407.00676 (2024) - [i109]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 abs/2407.02301 (2024) - [i108]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 abs/2407.10068 (2024) - [i107]Shibo Jie, Yehui Tang, Jianyuan Guo, Zhi-Hong Deng, Kai Han, Yunhe Wang:
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning. CoRR abs/2408.06798 (2024) - [i106]Kai Han, Jianyuan Guo, Yehui Tang, Wei He, Enhua Wu, Yunhe Wang:
Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs. CoRR abs/2410.10441 (2024) - [i105]Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu, Lin Li, Kai Han, Heng Liao, Yunhe Wang:
MemoryFormer: Minimize Transformer Computation by Removing Fully-Connected Layers. CoRR abs/2411.12992 (2024) - [i104]Hang Zhou, Xiaoxu Zheng, Yunhe Wang, Michael Bi Mi, Deyi Xiong, Kai Han:
GhostRNN: Reducing State Redundancy in RNN with Cheap Operations. CoRR abs/2411.14489 (2024) - [i103]Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang:
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning. CoRR abs/2411.14497 (2024) - 2023
- [j14]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) - [j13]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) - [j12]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) - [j11]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) - [j10]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) - [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]