Hanting Chen

According to our database, Hanting Chen authored at least 75 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models.

Zhijun Tu, Hanting Chen, Siqi Liu, Chuanjian Liu, Jian Li, Jie Hu, Yunhe Wang

CoRR, August, 2025

Pangu DeepDiver: Adaptive Search Intensity Scaling via Open-Web Reinforcement Learning.

Wenxuan Shi, Haochen Tan, Chuqiao Kuang, Xiaoguang Li, Xiaozhe Ren, Chen Zhang, Hanting Chen, Yasheng Wang, Lifeng Shang, Fisher Yu, Yunhe Wang

CoRR, May, 2025

Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition.

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

CoRR, May, 2025

Pangu Pro MoE: Mixture of Grouped Experts for Efficient Sparsity.

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

CoRR, May, 2025

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs.

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

CoRR, May, 2025

DSPO: Direct Semantic Preference Optimization for Real-World Image Super-Resolution.

Miaomiao Cai, Simiao Li, Wei Li, Xudong Huang, Hanting Chen, Jie Hu, Yunhe Wang

CoRR, April, 2025

A Physics-guided Multimodal Transformer Path to Weather and Climate Sciences.

Jing Han, Hanting Chen, Kai Han, Xiaomeng Huang, Yongyun Hu, Wenjun Xu, Dacheng Tao, Ping Zhang

CoRR, April, 2025

Transferable text data distillation by trajectory matching.

Rong Yao, Hailin Hu, Yifei Fu, Hanting Chen, Wenyi Fang, Fanyi Du, Kai Han, Yunhe Wang

CoRR, April, 2025

U-REPA: Aligning Diffusion U-Nets to ViTs.

Yuchuan Tian, Hanting Chen, Mengyu Zheng, Yuchen Liang, Chao Xu, Yunhe Wang

CoRR, March, 2025

Autoregressive Image Generation Guided by Chains of Thought.

Miaomiao Cai, Guanjie Wang, Wei Li, Zhijun Tu, Hanting Chen, Shaohui Lin, Jie Hu

CoRR, February, 2025

Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression.

Haoyu Wang, Tong Teng, Tianyu Guo, An Xiao, Duyu Tang, Hanting Chen, Yunhe Wang

CoRR, February, 2025

LIPT: Latency-Aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Jie Hu, Shaohui Lin, Jungong Han

IEEE Trans. Image Process., 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Linear Multistep Solver Distillation for Fast Sampling of Diffusion Models.

Yuchen Liang, Xiangzhong Fang, Hanting Chen, Yunhe Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic Frequency-Adaptive Knowledge Distillation for Speech Enhancement.

Xihao Yuan, Siqi Liu, Hanting Chen, Lu Zhou, Jian Li, Jie Hu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

DiC: Rethinking Conv3x3 Designs in Diffusion Models.

Yuchuan Tian, Jing Han, Chengcheng Wang, Yuchen Liang, Chao Xu, Hanting Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

CoRR, 2024

One Step Diffusion-based Super-Resolution with Time-Aware Distillation.

Xiao He, Huaao Tang, Zhijun Tu, Junchao Zhang, Kun Cheng, Hanting Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu

CoRR, 2024

Omni-Dimensional Frequency Learner for General Time Series Analysis.

Xianing Chen, Hanting Chen, Hailin Hu

CoRR, 2024

Multi-Granularity Semantic Revision for Large Language Model Distillation.

Xiaoyu Liu, Yun Zhang, Wei Li, Simiao Li, Xudong Huang, Hanting Chen, Yehui Tang, Jie Hu, Zhiwei Xiong, Yunhe Wang

CoRR, 2024

Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulation.

Yuchuan Tian, Jianhong Han, Hanting Chen, Yuanyuan Xi, Guoyang Zhang, Jie Hu, Chao Xu, Yunhe Wang

CoRR, 2024

Collaboration of Teachers for Semi-supervised Object Detection.

Liyu Chen, Huaao Tang, Yi Wen, Hanting Chen, Wei Li, Junchao Liu, Jie Hu

CoRR, 2024

LIPT: Latency-aware Image Processing Transformer.

Junbo Qiao, Wei Li, Haizhen Xie, Hanting Chen, Yunshuai Zhou, Zhijun Tu, Jie Hu, Shaohui Lin

CoRR, 2024

IPT-V2: Efficient Image Processing Transformer using Hierarchical Attentions.

Zhijun Tu, Kunpeng Du, Hanting Chen, Hailing Wang, Wei Li, Jie Hu, Yunhe Wang

CoRR, 2024

DiJiang: Efficient Large Language Models through Compact Kernelization.

Hanting Chen, Zhicheng Liu, Xutao Wang, Yuchuan Tian, Yunhe Wang

CoRR, 2024

Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang

CoRR, 2024

Enhancing Large Language Models through Adaptive Tokenizers.

Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers.

Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DiJiang: Efficient Large Language Models through Compact Kernelization.

Hanting Chen, Liuzhi Cheng, Xutao Wang, Yuchuan Tian, Yunhe Wang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Image Processing GNN: Breaking Rigidity in Super-Resolution.

Yuchuan Tian, Hanting Chen, Chao Xu, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Trans. Mach. Learn. Res., 2023

Deep Plug-and-Play Clustering with Unknown Number of Clusters.

An Xiao, Hanting Chen, Tianyu Guo, Qinghua Zhang, Yunhe Wang

Trans. Mach. Learn. Res., 2023

A Survey on Vision Transformer.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2023

PanGu-π: Enhancing Language Model Architectures via Nonlinearity Compensation.

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

CoRR, 2023

GenDet: Towards Good Generalizations for AI-Generated Image Detection.

Mingjian Zhu, Hanting Chen, Mouxiao Huang, Wei Li, Hailin Hu, Jie Hu, Yunhe Wang

CoRR, 2023

IFT: Image Fusion Transformer for Ghost-free High Dynamic Range Imaging.

Hailing Wang, Wei Li, Yuanyuan Xi, Jie Hu, Hanting Chen, Longyu Li, Yunhe Wang

CoRR, 2023

Data Upcycling Knowledge Distillation for Image Super-Resolution.

Yun Zhang, Wei Li, Simiao Li, Jie Hu, Hanting Chen, Hailing Wang, Zhijun Tu, Wenjia Wang, Bingyi Jing, Yunhe Wang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PUe: Biased Positive-Unlabeled Learning Enhancement by Causal Inference.

Xutao Wang, Hanting Chen, Tianyu Guo, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Higher Ranks via Adversarial Weight Pruning.

Yuchuan Tian, Hanting Chen, Tianyu Guo, Chao Xu, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

VanillaNet: the Power of Minimalism in Deep Learning.

Hanting Chen, Yunhe Wang, Jianyuan Guo, Dacheng Tao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toward Accurate Post-Training Quantization for Image Super Resolution.

Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis.

Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Federated Learning with Positive and Unlabeled Data.

Xinyang Lin, Hanting Chen, Yixing Xu, Chao Xu, Xiaolin Gui, Yiping Deng, Yunhe Wang

Proceedings of the International Conference on Machine Learning, 2022

Brain-inspired Multilayer Perceptron with Spiking Neurons.

Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning Student Networks via Feature Embedding.

Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2021

Adder Neural Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang

CoRR, 2021

AdderNet and its Minimalist Hardware Design for Energy-Efficient Artificial Intelligence.

Yunhe Wang, Mingqiang Huang, Kai Han, Hanting Chen, Wei Zhang, Chunjing Xu, Dacheng Tao

CoRR, 2021

Adder Attention for Vision Transformer.

Han Shu, Jiahao Wang, Hanting Chen, Lin Li, Yujiu Yang, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Winograd Algorithm for AdderNet.

Wenshuo Li, Hanting Chen, Mingqiang Huang, Xinghao Chen, Chunjing Xu, Yunhe Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Data-Free Knowledge Distillation for Image Super-Resolution.

Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AdderSR: Towards Energy Efficient Image Super-Resolution.

Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Student Networks in the Wild.

Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Survey on Visual Transformer.

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

CoRR, 2020

Widening and Squeezing: Towards Accurate and Efficient QNNs.

Chuanjian Liu, Kai Han, Yunhe Wang, Hanting Chen, Chunjing Xu, Qi Tian

CoRR, 2020

A Semi-Supervised Assessor of Neural Architectures.

Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

AdderNet: Do We Really Need Multiplications in Deep Learning?

Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Frequency Domain Compact 3D Convolutional Neural Networks.

Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

RNAS: Architecture Ranking for Powerful Networks.

Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu

CoRR, 2019

Positive-Unlabeled Compression on the Cloud.

Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Crafting Efficient Neural Graph of Large Entropy.

Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 36th International Conference on Machine Learning, 2019

Co-Evolutionary Compression for Unpaired Image Translation.

Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Data-Free Learning of Student Networks.

Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019