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2020 – today
- 2025
[j5]Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Jie Hu, Shaohui Lin
, Jungong Han:
LIPT: Latency-Aware Image Processing Transformer. IEEE Trans. Image Process. 34: 3056-3069 (2025)- [c37]Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu:
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. AAAI 2025: 2311-2319 - [c36]Xihao Yuan, Siqi Liu, Hanting Chen, Lu Zhou, Jian Li, Jie Hu:
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement. ICASSP 2025: 1-5 - [c35]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 - [c34]Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu:
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. ICLR 2025 - [c33]Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang:
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution. ICLR 2025 - [i53]Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen:
DiC: Rethinking Conv3x3 Designs in Diffusion Models. CoRR abs/2501.00603 (2025) - [i52]Xihao Yuan, Siqi Liu, Hanting Chen, Lu Zhou, Jian Li, Jie Hu:
Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement. CoRR abs/2502.04711 (2025) - [i51]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) - [i50]Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu:
Autoregressive Image Generation Guided by Chains of Thought. CoRR abs/2502.16965 (2025) - [i49]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) - [i48]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) - [i47]Jing Han, Hanting Chen, Kai Han, Xiaomeng Huang, Yongyun Hu, Wenjun Xu, Dacheng Tao, Ping Zhang:
A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences. CoRR abs/2504.14174 (2025) - [i46]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) - [i45]Haizhen Xie, Kunpeng Du, Qiangyu Yan, Sen Lu, Jianhong Han, Hanting Chen, Hailin Hu, Jie Hu:
EAM: Enhancing Anything with Diffusion Transformers for Blind Super-Resolution. CoRR abs/2505.05209 (2025) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - 2024
- [c32]Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang:
Image Processing GNN: Breaking Rigidity in Super-Resolution. CVPR 2024: 24108-24117 - [c31]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 - [c30]Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen:
Learning Quantized Adaptive Conditions for Diffusion Models. ECCV (81) 2024: 358-374 - [c29]Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong:
PQ-SAM: Post-training Quantization for Segment Anything Model. ECCV (10) 2024: 420-437 - [c28]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 - [c27]Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. ICML 2024 - [c26]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. NeurIPS 2024 - [c25]Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang:
Enhancing Large Language Models through Adaptive Tokenizers. NeurIPS 2024 - [i40]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) - [i39]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) - [i38]Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang:
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR abs/2403.19928 (2024) - [i37]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) - [i36]Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu:
Knowledge Distillation with Multi-granularity Mixture of Priors for Image Super-Resolution. CoRR abs/2404.02573 (2024) - [i35]Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin:
LIPT: Latency-aware Image Processing Transformer. CoRR abs/2404.06075 (2024) - [i34]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) - [i33]Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu:
Collaboration of Teachers for Semi-supervised Object Detection. CoRR abs/2405.13374 (2024) - [i32]Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu:
GIM: A Million-scale Benchmark for Generative Image Manipulation Detection and Localization. CoRR abs/2406.16531 (2024) - [i31]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) - [i30]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) - [i29]Xianing Chen, Hanting Chen, Hailin Hu:
Omni-Dimensional Frequency Learner for General Time Series Analysis. CoRR abs/2407.10419 (2024) - [i28]Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
One Step Diffusion-based Super-Resolution with Time-Aware Distillation. CoRR abs/2408.07476 (2024) - [i27]Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen:
Learning Quantized Adaptive Conditions for Diffusion Models. CoRR abs/2409.17487 (2024) - 2023
- [j4]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) - [j3]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) - [j2]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) - [c24]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 - [c23]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c22]Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang:
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR 2023: 8244-8253 - [c21]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS 2023 - [c20]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. NeurIPS 2023 - [c19]Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang:
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. NeurIPS 2023 - [c18]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 - [i26]Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao:
VanillaNet: the Power of Minimalism in Deep Learning. CoRR abs/2305.12972 (2023) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang:
Towards Higher Ranks via Adversarial Weight Pruning. CoRR abs/2311.17493 (2023) - [i20]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) - [i19]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) - [i18]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
- [c17]Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang:
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR 2022: 773-783 - [c16]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 - [i17]Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang:
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR abs/2203.14679 (2022) - 2021
- [j1]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) - [c15]Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang:
Learning Student Networks in the Wild. CVPR 2021: 6428-6437 - [c14]Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang:
Data-Free Knowledge Distillation for Image Super-Resolution. CVPR 2021: 7852-7861 - [c13]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 - [c12]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR 2021: 15648-15657 - [c11]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. ICML 2021: 6307-6315 - [c10]Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang:
Adder Attention for Vision Transformer. NeurIPS 2021: 19899-19909 - [i16]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) - [i15]Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang:
Winograd Algorithm for AdderNet. CoRR abs/2105.05530 (2021) - [i14]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang:
Adder Neural Networks. CoRR abs/2105.14202 (2021) - [i13]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) - 2020
- [c9]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 - [c8]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 - [c7]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 - [c6]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 - [i12]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) - [i11]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) - [i10]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) - [i9]Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao:
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR abs/2009.08891 (2020) - [i8]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) - [i7]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
- [c5]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 - [c4]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 - [c3]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 - [c2]Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu:
Crafting Efficient Neural Graph of Large Entropy. IJCAI 2019: 2244-2250 - [c1]Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu:
Positive-Unlabeled Compression on the Cloud. NeurIPS 2019: 2561-2570 - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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
- [i1]Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao:
Learning Student Networks via Feature Embedding. CoRR abs/1812.06597 (2018)
Coauthor Index
[c35] [i51] [i49] [i48] [i46] [i44] [i43] [i42] [i41] [c32] [c31] [c28] [c27] [c26] [c25] [i40] [i39] [i38] [i37] [i34] [i31] [i30] [j4] [j3] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [c17] [c16] [i17] [j1] [c15] [c14] [c13] [c12] [c11] [c10] [i16] [i15] [i14] [i13] [c9] [c8] [c7] [c6] [i12] [i11] [i10] [i9] [i8] [i7] [c5] [c4] [c3] [c2] [c1] [i6] [i5] [i4] [i3] [i2] [i1]
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