Chen, Hanting

39 publications

ICLR 2025 AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution Yun Zhang, Wei Li, Simiao Li, Hanting Chen, Zhijun Tu, Bingyi Jing, Shaohui Lin, Jie Hu, Wenjia Wang

ICLR 2025 CBQ: Cross-Block Quantization for Large Language Models Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang

NeurIPS 2025 DeepDiver: Adaptive Web-Search Intensity Scaling via Reinforcement Learning Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Hanting Chen, Xiaozhe Ren, Yasheng Wang, Lu Hou, Lifeng Shang

CVPR 2025 DiC: Rethinking Conv3x3 Designs in Diffusion Models Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen

AAAI 2025 GIM: A Million-Scale Benchmark for Generative Image Manipulation Detection and Localization Yirui Chen, Xudong Huang, Quan Zhang, Wei Li, Mingjian Zhu, Qiangyu Yan, Simiao Li, Hanting Chen, Hailin Hu, Jie Yang, Wei Liu, Jie Hu

ICLR 2025 Knowledge Distillation with Multi-Granularity Mixture of Priors for Image Super-Resolution Simiao Li, Yun Zhang, Wei Li, Hanting Chen, Wenjia Wang, Bingyi Jing, Shaohui Lin, Jie Hu

ICLR 2025 Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang

ICML 2025 MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles Jing Han, Binwei Yan, Tianyu Guo, Zheyuan Bai, Mengyu Zheng, Hanting Chen, Ying Nie

CVPR 2025 RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler Xin Ding, Lei Yu, Xin Li, Zhijun Tu, Hanting Chen, Jie Hu, Zhibo Chen

NeurIPS 2025 U-REPA: Aligning Diffusion U-Nets to ViTs Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang

ICML 2024 DiJiang: Efficient Large Language Models Through Compact Kernelization Hanting Chen, Liu Zhicheng, Xutao Wang, Yuchuan Tian, Yunhe Wang

CVPR 2024 Distilling Semantic Priors from SAM to Efficient Image Restoration Models Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang

NeurIPS 2024 Enhancing Large Language Models Through Adaptive Tokenizers Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

CVPR 2024 Image Processing GNN: Breaking Rigidity in Super-Resolution Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang

ECCV 2024 Learning Quantized Adaptive Conditions for Diffusion Models Yuchen Liang, Yuchuan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

ICLR 2024 Multiscale Positive-Unlabeled Detection of AI-Generated Texts Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang, Ruifeng Li, Chao Xu, Yunhe Wang

ECCV 2024 PQ-SAM: Post-Training Quantization for Segment Anything Model Xiaoyu Liu, Xin Ding, Lei Yu, Yuanyuan Xi, Wei Li, Zhijun Tu, Jie Hu, Hanting Chen, Baoqun Yin, Zhiwei Xiong

NeurIPS 2024 U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

TMLR 2023 Complementary Sparsity: Accelerating Sparse CNNs with High Accuracy on General-Purpose Computing Platforms Kang Zhao, Yijun Tan, Kai Han, Ting Hu, Hanting Chen, Tao Yuan, Yunhe Wang, Jun Yao

TMLR 2023 Deep Plug-and-Play Clustering with Unknown Number of Clusters An Xiao, Hanting Chen, Tianyu Guo, Qinghua Zhang, Yunhe Wang

NeurIPS 2023 GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image Mingjian Zhu, Hanting Chen, Qiangyu Yan, Xudong Huang, Guanyu Lin, Wei Li, Zhijun Tu, Hailin Hu, Jie Hu, Yunhe Wang

CVPRW 2023 NTIRE 2023 Challenge on Image Denoising: Methods and Results 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

NeurIPS 2023 PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

CVPR 2023 RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang

CVPR 2023 Toward Accurate Post-Training Quantization for Image Super Resolution Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang

NeurIPS 2023 Towards Higher Ranks via Adversarial Weight Pruning Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

NeurIPS 2023 VanillaNet: The Power of Minimalism in Deep Learning Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao

CVPR 2022 Brain-Inspired Multilayer Perceptron with Spiking Neurons Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang

ICML 2022 Federated Learning with Positive and Unlabeled Data Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

NeurIPS 2021 Adder Attention for Vision Transformer Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang

CVPR 2021 AdderSR: Towards Energy Efficient Image Super-Resolution Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

CVPR 2021 Data-Free Knowledge Distillation for Image Super-Resolution Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

CVPR 2021 Learning Student Networks in the Wild Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

CVPR 2021 Pre-Trained Image Processing Transformer Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao

ICML 2021 Winograd Algorithm for AdderNet Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

AAAI 2020 Distilling Portable Generative Adversarial Networks for Image Translation Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

IJCAI 2019 Crafting Efficient Neural Graph of Large Entropy Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

ICML 2019 LegoNet: Efficient Convolutional Neural Networks with Lego Filters Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu

NeurIPS 2019 Positive-Unlabeled Compression on the Cloud Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu