Hanting Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 67

Top Topics

Super Resolution

High Dynamic Range Imaging

Image Processing

Top Venues

Publications

Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang
IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions. CoRR (2024)
Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin
LIPT: Latency-aware Image Processing Transformer. CoRR (2024)
Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang
DiJiang: Efficient Large Language Models through Compact Kernelization. CoRR (2024)
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 (2024)
Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu
Collaboration of Teachers for Semi-supervised Object Detection. CoRR (2024)
Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. CoRR (2024)
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 (2024)
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)
Xianing Chen, Hanting Chen, Hailin Hu
Omni-Dimensional Frequency Learner for General Time Series Analysis. CoRR (2024)
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)
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 (2023)
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) (2023)
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 (2023)
Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang
GenDet: Towards Good Generalizations for AI-Generated Image Detection. CoRR (2023)
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)
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)
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 (2023)
Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. CoRR (2023)
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)
Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR (2023)
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 (2023)
Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang
Towards Higher Ranks via Adversarial Weight Pruning. NeurIPS (2023)
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 (2023)
Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao
VanillaNet: the Power of Minimalism in Deep Learning. NeurIPS (2023)
Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang
Towards Higher Ranks via Adversarial Weight Pruning. CoRR (2023)
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 (2023)
Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang
PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference. NeurIPS (2023)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CVPR (2022)
Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang
Brain-inspired Multilayer Perceptron with Spiking Neurons. CoRR (2022)
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
Federated Learning with Positive and Unlabeled Data. ICML (2022)
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 (2021)
Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang
Adder Attention for Vision Transformer. NeurIPS (2021)
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)
Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang
Federated Learning with Positive and Unlabeled Data. CoRR (2021)
Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
Winograd Algorithm for AdderNet. ICML (2021)
Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang
Data-Free Knowledge Distillation for Image Super-Resolution. CVPR (2021)
Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang
Winograd Algorithm for AdderNet. CoRR (2021)
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang
Adder Neural Networks. CoRR (2021)
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
Learning Student Networks via Feature Embedding. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang
Learning Student Networks in the Wild. CVPR (2021)
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR (2021)
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 (2020)
Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR (2020)
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 (2020)
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)
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)
Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian
Widening and Squeezing: Towards Accurate and Efficient QNNs. CoRR (2020)
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)
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)
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 (2020)
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 (2020)
Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
Co-Evolutionary Compression for Unpaired Image Translation. CoRR (2019)
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)
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
Positive-Unlabeled Compression on the Cloud. NeurIPS (2019)
Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR (2019)
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)
Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
Crafting Efficient Neural Graph of Large Entropy. IJCAI (2019)
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 (2019)
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 (2019)
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)
Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
Positive-Unlabeled Compression on the Cloud. CoRR (2019)
Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
Learning Student Networks via Feature Embedding. CoRR (2018)