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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
- 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 0005 — Xi'an University of Technology, 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
Other persons with a similar name
- Yun-He Wang 0001 — Chinese People's Public Security University, China
- Yun-He Wang 0002 — Chung Yuan Christian University, Taiwan
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2020 – today
- 2026
[j19]Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang:
Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall. IEEE Trans. Pattern Anal. Mach. Intell. 48(1): 542-556 (2026)- [c138]Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang:
GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection. AAAI 2026: 15582-15590 - [c137]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. ACL (1) 2026: 4637-4658 - [i171]Yingte Shu, Yuchuan Tian, Chao Xu, Yunhe Wang, Hanting Chen:
Deferred Commitment Decoding for Diffusion Language Models. CoRR abs/2601.02076 (2026) - [i170]Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang:
Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion. CoRR abs/2601.13599 (2026) - [i169]Yunhe Wang, Kai Han, Huiling Zhen, Yuchuan Tian, Hanting Chen, Yongbing Huang, Yufei Cui, Yingte Shu, Shan Gao, Ismail Elezi, Roy Vaughan Miles, Songcen Xu, Feng Wen, Chao Xu, Sinan Zeng, Dacheng Tao:
Top 10 Open Challenges Steering the Future of Diffusion Language Model and Its Variants. CoRR abs/2601.14041 (2026) - [i168]Zhongqian Fu, Tianyi Zhao, Kai Han, Hang Zhou, Xinghao Chen, Yunhe Wang:
An Empirical Study of World Model Quantization. CoRR abs/2602.02110 (2026) - [i167]Zhentao Tang, Yuqi Cui, Shixiong Kai, Wenqian Zhao, Ke Ye, Xing Li, Anxin Tian, Zehua Pei, Hui-Ling Zhen, Shoubo Hu, Xiaoguang Li, Yunhe Wang, Mingxuan Yuan:
ReThinker: Scientific Reasoning by Rethinking with Guided Reflection and Confidence Control. CoRR abs/2602.04496 (2026) - [i166]Hui-Ling Zhen, Weizhe Lin, Renxi Liu, Kai Han, Yiming Li, Yuchuan Tian, Hanting Chen, Xiaoguang Li, Xiaosong Li, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Youliang Yan, Peifeng Qin, Jun Wang, Yu Wang, Dacheng Tao, Yunhe Wang:
DLLM Agent: See Farther, Run Faster. CoRR abs/2602.07451 (2026) - [i165]Binwei Yan, Yifei Fu, Mingjian Zhu, Hanting Chen, Mingxuan Yuan, Yunhe Wang, Hailin Hu:
C-MOP: Integrating Momentum and Boundary-Aware Clustering for Enhanced Prompt Evolution. CoRR abs/2602.10874 (2026) - [i164]Linrui Ma, Yufei Cui, Kai Han, Yunhe Wang:
Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs. CoRR abs/2603.15803 (2026) - [i163]Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu:
MemDLM: Memory-Enhanced DLM Training. CoRR abs/2603.22241 (2026) - [i162]Miao Rang, Zhenni Bi, Hang Zhou, Kai Han, Xuechun Wang, An Xiao, Xinghao Chen, Yunhe Wang, Hanting Chen:
Near-Policy: Accelerating On-Policy Distillation via Asynchronous Generation and Selective Packing. CoRR abs/2605.05940 (2026) - [i161]Mengyu Zheng, Kai Han, Boxun Li, Haiyang Xu, Yuchuan Tian, Wei He, Hang Zhou, Jianyuan Guo, Hailin Hu, Lin Ma, Chao Xu, Guohao Dai, Lixue Xia, Yunchao Wei, Yunhe Wang, Yu Wang:
Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks. CoRR abs/2606.12344 (2026) - [i160]Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Cheng Fan, Tingzhang Luo, Hongguang Li, Ying Gao, Hefei Mei, Jiankun Peng, Rongjian Xu, Minjing Dong, Han Wu, Mengyu Zheng, Kai Han, Shiqi Wang, Chang Xu, Yunhe Wang:
From Question Answering to Task Completion: A Survey on Agent System and Harness Design. CoRR abs/2606.20683 (2026) - [i159]Xinchen Liu, Hang Zhou, Yingjie Zong, Yuchuan Tian, Liuyang Song, Shuo Zhang, Yulong Li, Wei He, Mengyu Zheng, Runke Liu, Siyang Cheng, Xiang Kuang, Hailin Hu, Kai Han, Yunhe Wang:
Agentic Routing: The Harness-Native Data Flywheel. CoRR abs/2607.11399 (2026) - [i158]Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang:
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. CoRR abs/2607.13428 (2026) - [i157]Yuchuan Tian, Yingte Shu, Wei He, Shuo Zhang, Tianchen Zhao, Chao Xu, Xinghao Chen, Yunhe Wang, Hanting Chen, Yu Wang:
Convolution for Large Language Models. CoRR abs/2607.18413 (2026) - 2025
- [j18]Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu:
Adversarially Robust Neural Architectures. IEEE Trans. Pattern Anal. Mach. Intell. 47(5): 4183-4197 (2025) - [j17]Quan Tang, Chuanjian Liu, Fagui Liu, Jun Jiang, Bowen Zhang, C. L. Philip Chen, Kai Han, Yunhe Wang:
Rethinking Feature Reconstruction via Category Prototype in Semantic Segmentation. IEEE Trans. Image Process. 34: 1036-1047 (2025) - [j16]Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang:
ScaleNet: Scaling up Pretrained Neural Networks With Incremental Parameters. IEEE Trans. Image Process. 34: 7109-7122 (2025) - [c136]Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. AAAI 2025: 6694-6702 - [c135]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. AAAI 2025: 20470-20478 - [c134]Xinghao Chen, Siwei Li, Yijing Yang, Yunhe Wang:
DECO: Unleashing the Potential of ConvNets for Query-based Detection and Segmentation. ICLR 2025 - [c133]Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang:
CBQ: Cross-Block Quantization for Large Language Models. ICLR 2025 - [c132]Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang:
Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models. ICLR 2025 - [c131]Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao:
LLM Data Selection and Utilization via Dynamic Bi-level Optimization. ICML 2025 - [c130]Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang:
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. ICML 2025 - [c129]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SlimLLM: Accurate Structured Pruning for Large Language Models. ICML 2025 - [c128]Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang:
Mixture of Lookup Experts. ICML 2025 - [c127]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. NAACL (Long Papers) 2025: 876-891 - [c126]Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, Yunhe Wang:
DenseSSM: State Space Models with Dense Hidden Connection for Efficient Large Language Models. NAACL (Long Papers) 2025: 9243-9254 - [c125]Yunsheng Ni, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
EMS-SD: Efficient Multi-sample Speculative Decoding for Accelerating Large Language Models. NAACL (Long Papers) 2025: 9307-9320 - [c124]Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang:
U-REPA: Aligning Diffusion U-Nets to ViTs. NeurIPS 2025 - [c123]Ning Ding, Yehui Tang, Zhongqian Fu, Chao Xu, Kai Han, Yunhe Wang:
GPT4Image: Large Pre-trained Models Help Vision Models Learn Better on Perception Task. WWW (Companion Volume) 2025: 2056-2065 - [i156]Miao Rang, Zhenni Bi, Chuanjian Liu, Yehui Tang, Kai Han, Yunhe Wang:
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts. CoRR abs/2501.04322 (2025) - [i155]Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang:
GenVidBench: A Challenging Benchmark for Detecting AI-Generated Video. CoRR abs/2501.11340 (2025) - [i154]Haoyu Wang, Tong Teng, Tianyu Guo, An Xiao, Duyu Tang, Hanting Chen, Yunhe Wang:
Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression. CoRR abs/2502.14477 (2025) - [i153]Shibo Jie, Yehui Tang, Kai Han, Yitong Li, Duyu Tang, Zhi-Hong Deng, Yunhe Wang:
Mixture of Lookup Experts. CoRR abs/2503.15798 (2025) - [i152]Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang:
U-REPA: Aligning Diffusion U-Nets to ViTs. CoRR abs/2503.18414 (2025) - [i151]Yao Tao, Yehui Tang, Yun Wang, Mingjian Zhu, Hailin Hu, Yunhe Wang:
Saliency-driven Dynamic Token Pruning for Large Language Models. CoRR abs/2504.04514 (2025) - [i150]Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu:
Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR abs/2504.07866 (2025) - [i149]Rong Yao, Hailin Hu, Yifei Fu, Hanting Chen, Wenyi Fang, Fanyi Du, Kai Han, Yunhe Wang:
Transferable text data distillation by trajectory matching. CoRR abs/2504.09818 (2025) - [i148]Miaomiao Cai, Simiao Li, Wei Li, Xudong Huang, Hanting Chen, Jie Hu, Yunhe Wang:
DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution. CoRR abs/2504.15176 (2025) - [i147]Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan:
Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR abs/2505.04519 (2025) - [i146]Hanting Chen, Jiarui Qin, Jialong Guo, Tao Yuan, Yichun Yin, Huiling Zhen, Yasheng Wang, Jinpeng Li, Xiaojun Meng, Meng Zhang, Rongju Ruan, Zheyuan Bai, Yehui Tang, Can Chen, Xinghao Chen, Fisher Yu, Ruiming Tang, Yunhe Wang:
Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. CoRR abs/2505.20155 (2025) - [i145]Yehui Tang, Xiaosong Li, Fangcheng Liu, Wei Guo, Hang Zhou, Yaoyuan Wang, Kai Han, Xianzhi Yu, Jinpeng Li, Hui Zang, Fei Mi, Xiaojun Meng, Zhicheng Liu, Hanting Chen, Binfan Zheng, Can Chen, Youliang Yan, Ruiming Tang, Peifeng Qin, Xinghao Chen, Dacheng Tao, Yunhe Wang:
Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity. CoRR abs/2505.21411 (2025) - [i144]Hanting Chen, Yasheng Wang, Kai Han, Dong Li, Lin Li, Zhenni Bi, Jinpeng Li, Haoyu Wang, Fei Mi, Mingjian Zhu, Bin Wang, Kaikai Song, Yifei Fu, Xu He, Yu Luo, Chong Zhu, Quan He, Xueyu Wu, Wei He, Hailin Hu, Yehui Tang, Dacheng Tao, Xinghao Chen, Yunhe Wang:
Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition. CoRR abs/2505.22375 (2025) - [i143]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SlimLLM: Accurate Structured Pruning for Large Language Models. CoRR abs/2505.22689 (2025) - [i142]Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Xiaozhe Ren, Chen Zhang, Hanting Chen, Yasheng Wang, Lifeng Shang, Fisher Yu, Yunhe Wang:
Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning. CoRR abs/2505.24332 (2025) - [i141]Zhongqian Fu, Ning Ding, Kai Han, Xianzhi Yu, Xiaosong Li, Xinghao Chen, Yehui Tang, Yunhe Wang:
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization. CoRR abs/2506.13329 (2025) - [i140]Yang Yu, Kai Han, Hang Zhou, Yehui Tang, Kaiqi Huang, Yunhe Wang, Dacheng Tao:
LLM Data Selection and Utilization via Dynamic Bi-level Optimization. CoRR abs/2507.16178 (2025) - [i139]Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang:
Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models. CoRR abs/2508.06974 (2025) - [i138]Miao Rang, Zhenni Bi, Hang Zhou, Hanting Chen, An Xiao, Tianyu Guo, Kai Han, Xinghao Chen, Yunhe Wang:
Revealing the Power of Post-Training for Small Language Models via Knowledge Distillation. CoRR abs/2509.26497 (2025) - [i137]Zhiwei Hao, Jianyuan Guo, Li Shen, Kai Han, Yehui Tang, Han Hu, Yunhe Wang:
ScaleNet: Scaling up Pretrained Neural Networks with Incremental Parameters. CoRR abs/2510.18431 (2025) - [i136]Wei He, Kai Han, Hang Zhou, Hanting Chen, Zhicheng Liu, Xinghao Chen, Yunhe Wang:
ROOT: Robust Orthogonalized Optimizer for Neural Network Training. CoRR abs/2511.20626 (2025) - [i135]Hanting Chen, Chong Zhu, Kai Han, Yuchuan Tian, Yuchen Liang, Tianyu Guo, Xinghao Chen, Dacheng Tao, Yunhe Wang:
Nexus: Higher-Order Attention Mechanisms in Transformers. CoRR abs/2512.03377 (2025) - [i134]Yuchuan Tian, Yuchen Liang, Jiacheng Sun, Shuo Zhang, Guangwen Yang, Yingte Shu, Sibo Fang, Tianyu Guo, Kai Han, Chao Xu, Hanting Chen, Xinghao Chen, Yunhe Wang:
From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs. CoRR abs/2512.06776 (2025) - [i133]Ying Nie, Kai Han, Hongguang Li, Hang Zhou, Tianyu Guo, Enhua Wu, Xinghao Chen, Yunhe Wang:
VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse. CoRR abs/2512.14531 (2025) - [i132]Zehua Pei, Hui-Ling Zhen, Shixiong Kai, Sinno Jialin Pan, Yunhe Wang, Mingxuan Yuan, Bei Yu:
SCOPE: Prompt Evolution for Enhancing Agent Effectiveness. CoRR abs/2512.15374 (2025) - [i131]Weizhe Lin, Hui-Ling Zhen, Shuai Yang, Xian Wang, Renxi Liu, Hanting Chen, Wangze Zhang, Chuansai Zhou, Yiming Li, Chen Chen, Xing Li, Zhiyuan Yang, Xiaosong Li, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan, Yunhe Wang:
Towards Efficient Agents: A Co-Design of Inference Architecture and System. CoRR abs/2512.18337 (2025) - 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) - [c122]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for Scene Text Recognition. CVPR 2024: 15619-15629 - [c121]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 - [c120]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 - [c119]Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang:
Image Processing GNN: Breaking Rigidity in Super-Resolution. CVPR 2024: 24108-24117 - [c118]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 - [c117]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 - [c116]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 - [c115]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. ECCV (52) 2024: 239-255 - [c114]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 - [c113]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 - [c112]Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. ICML 2024: 7103-7117 - [c111]Jialong Guo, Xinghao Chen, Yehui Tang, Yunhe Wang:
SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization. ICML 2024: 16802-16812 - [c110]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: 22062-22074 - [c109]Wenshuo Li, Xinghao Chen, Han Shu, Yehui Tang, Yunhe Wang:
ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking. ICML 2024: 27575-27588 - [c108]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: 47743-47756 - [c107]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. NeurIPS 2024 - [c106]Fangcheng Liu, Yehui Tang, Zhenhua Liu, Yunsheng Ni, Duyu Tang, Kai Han, Yunhe Wang:
Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exiting. NeurIPS 2024 - [c105]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. NeurIPS 2024 - [c104]Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang:
Enhancing Large Language Models through Adaptive Tokenizers. NeurIPS 2024 - [c103]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. NeurIPS 2024 - [i130]Miao Rang, Zhenni Bi, Chuanjian Liu, Yunhe Wang, Kai Han:
An Empirical Study of Scaling Law for OCR. CoRR abs/2401.00028 (2024) - [i129]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) - [i128]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) - [i127]Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han, Hailin Hu, Dacheng Tao:
A Survey on Transformer Compression. CoRR abs/2402.05964 (2024) - [i126]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) - [i125]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) - [i124]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) - [i123]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) - [i122]Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR abs/2403.19928 (2024) - [i121]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) - [i120]Zhenhua Liu, Zhiwei Hao, Kai Han, Yehui Tang, Yunhe Wang:
GhostNetV3: Exploring the Training Strategies for Compact Models. CoRR abs/2404.11202 (2024) - [i119]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) - [i118]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) - [i117]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) - [i116]Zhenliang Ni, Xinghao Chen, Yingjie Zhai, Yehui Tang, Yunhe Wang:
Context-Guided Spatial Feature Reconstruction for Efficient Semantic Segmentation. CoRR abs/2405.06228 (2024) - [i115]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) - [i114]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) - [i113]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) - [i112]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) - [i111]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) - [i110]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) - [i109]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) - [i108]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) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]Zhenni Bi, Kai Han, Chuanjian Liu, Yehui Tang, Yunhe Wang:
Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning. CoRR abs/2412.09078 (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]Xin-Jian 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: Article 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 H. Y. 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
[c137] [i171] [i169] [i166] [i165] [i162] [i158] [i157] [c133] [c132] [c124] [i154] [i152] [i149] [i148] [i146] [i145] [i144] [i142] [i139] [i138] [i136] [i135] [i134] [i131] [c119] [c118] [c113] [c112] [c105] [c104] [i128] [i123] [i122] [i121] [i118] [i111] [i109] [j14] [j11] [j10] [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]
[c138] [i168] [i162] [i157] [c135] [c134] [c129] [i155] [i146] [i145] [i144] [i143] [i141] [i138] [i136] [i135] [i134] [i133] [c115] [c111] [c109] [i116] [i114] [i113] [i112] [j14] [j12] [c97] [i95] [i89] [i81] [i80] [c85] [c83] [c79] [c78] [c76] [c75] [c74] [c73] [c69] [c63] [i75] [i73] [i70] [i66] [c59] [c58] [c54] [c53] [c49] [c48] [c47] [c44] [i59] [i56] [i45] [i42] [c31] [c29] [c28] [c19] [i35] [i33] [i31] [i30] [i26] [i22] [i19] [i13]
[j19] [i161] [i160] [j16] [i137] [c121] [c117] [i128] [i127] [i126] [i108] [i107] [j14] [c101] [c95] [c94] [c93] [c88] [i102] [i101] [i100] [i96] [i93] [i88] [i79] [j8] [c86] [c85] [c81] [c80] [c79] [c71] [c68] [c67] [c64] [i78] [i77] [i74] [i71] [i69] [i68] [c59] [c58] [c53] [c45] [i63] [i59] [i54] [i49] [i48] [i45] [i43] [c34] [c29] [i35] [i33] [i19] [i7]
[j19] [i170] [i169] [i168] [i166] [i164] [i162] [i161] [i160] [i159] [j17] [j16] [c136] [c131] [c130] [c128] [c126] [c125] [c123] [i156] [i153] [i149] [i145] [i144] [i141] [i140] [i138] [i137] [i136] [i135] [i134] [i133] [j15] [c122] [c121] [c117] [c116] [c114] [c110] [c108] [c107] [c106] [c103] [i130] [i129] [i128] [i127] [i126] [i125] [i124] [i120] [i119] [i117] [i115] [i108] [i107] [i106] [i105] [i104] [i103] [j14] [j10] [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]
[c138] [c137] [j16] [c136] [c135] [c133] [c131] [c130] [c129] [c128] [c126] [c125] [c123] [i156] [i155] [i153] [i151] [i150] [i147] [i146] [i145] [i143] [i141] [i140] [i137] [c117] [c116] [c115] [c111] [c110] [c109] [c108] [c107] [c106] [c103] [i129] [i127] [i126] [i125] [i120] [i119] [i117] [i116] [i115] [i114] [i113] [i112] [i109] [i108] [i107] [i106] [i104] [i103] [j14] [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]
[i169] [i166] [c131] [c127] [i145] [i144] [i140] [i135] [i127] [i110] [j14] [c95] [i101] [i79] [j6] [c82] [c80] [i72] [j4] [c56] [c53] [c51] [i64] [i61] [i54] [i49] [i44] [c30] [c20] [c18] [i40] [i33] [i32] [i28] [i27] [i24] [i19] [j3] [c9] [i14] [i11] [c8] [c6] [c5] [i5] [j2] [c4] [c3] [c2] [i4] [i3] [c1] [i2] [i1]
[j19] [i160] [j18] [c116] [c104] [i128] [j13] [j12] [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]
[i171] [i169] [i161] [i157] [c124] [c123] [i152] [i134] [c119] [c113] [c107] [c105] [i118] [i111] [i106] [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]
[j14] [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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last updated on 2026-08-18 00:12 CEST by the dblp team
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