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ORCIDJie Hu 0021
Person information
- affiliation: Huawei Noah's Ark Lab
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
![[0000-0002-5157-0172]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5157-0172")
— University of Electronic Science and Technology of China, Chengdu (and 1 more) - Jie Hu 0002 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China (and 1 more)
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0007 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0013 — China University of Geosciences, Wuhan, China (and 1 more)
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016 — Guizhou University, Guiyang, China (and 2 more)
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018 — Xiamen University, School of Information Science and Engineering, China
- Jie Hu 0019 — Meituan Group, Beijing, China (and 2 more)
- Jie Hu 0020 — Zhejiang University, School of International Studies, Department of Linguistics, Hangzhou, China
- Jie Hu 0022 — Peking University, Center for Data Science, Beijing, China
- Jie Hu 0023 — Jiangxi Agricultural University, Nanchang, China
- Jie Hu 0024 — Wuhan University, Wuhan, China
- Jie Hu 0025 — China Telecom Research Institute, Beijing, China
- Jie Hu 0026 — Beijing Jiaotong University, Beijing, China
- Jie Hu 0027 — Oakland University, MI, USA (and 1 more)
- Jie Hu 0028 — Taiyuan University of Technology, Taiyuan, Shanxi, China
- Jie Hu 0029 — Southern University of Science and Technology, Shenzhen, China
- Jie Hu 0030 — Xi'an Technological University, China
- Jie Hu 0031 — University of California Riverside, Riverside, CA, USA
- Jie Hu 0032 — Southwest University, Chongqing, China
- Jie Hu 0033 — University of Science and Technology of China, Hefei, Anhui, China
- Jie Hu 0034 — University of Zurich, Zurich, Switzerland
- Jie Hu 0035 — Xiamen University, Fujian, China
- Jie Hu 0036 — Purple Mountain Observatory, Chinese Academy of Sciences, Nanjing, China
- Jie Hu 0037 — Wuhan University of Technology, Wuhan, Hubei, China
- Jie Hu 0038 — Xihua University, Sichuan, China
- Jie Hu 0039 — Karlsruhe Institute of Technology, Karlsruhe, Germany
- Jie Hu 0040 — Jiangxi Agricultural University, Nanchang, China
- Jie Hu 0041 — Wenzhou University, Wenzhou, China
- Jie Hu 0042 — Wuhan University, Wuhan, China
- Jie Hu 0043 — Fujian Normal University, Fuzhou, China
- Jie Hu 0044 — Wuhan University, Wuhan, Hubei, China
- Jie Hu 0045 — University of Wisconsin-Madison, Madison, WI, USA
- Jie Hu 0046 — Hefei University of Technology, Hefei, China
- Jie Hu 0047 — Texas A&M University, TX, USA
- Jie Hu 0048 — Northeastern University, Shenyang, China
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2020 – today
- 2025
[j2]Junbo Qiao, Shaohui Lin, Yulun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma:
DCS-RISR: Dynamic channel splitting for efficient real-world image super-resolution. Neural Networks 184: 107119 (2025)- [j1]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) - [c15]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 - [c14]Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
Effective Diffusion Transformer Architecture for Image Super-Resolution. AAAI 2025: 2455-2463 - [c13]Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin:
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration. AAAI 2025: 10861-10869 - [c12]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 - [c11]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 - [c10]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 - [i27]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) - [i26]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) - [i25]Xue Wu, Jingwei Xin, Zhijun Tu, Jie Hu, Jie Li, Nannan Wang, Xinbo Gao:
One-Step Diffusion-based Real-World Image Super-Resolution with Visual Perception Distillation. CoRR abs/2506.02605 (2025) - [i24]Junbo Qiao, Miaomiao Cai, Wei Li, Yutong Liu, Xudong Huang, Gaoqi He, Jiao Xie, Jie Hu, Xinghao Chen, Shaohui Lin:
RealSR-R1: Reinforcement Learning for Real-World Image Super-Resolution with Vision-Language Chain-of-Thought. CoRR abs/2506.16796 (2025) - [i23]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) - [i22]Yan Chen, Yi Wen, Wei Li, Junchao Liu, Yong Guo, Jie Hu, Xinghao Chen:
RDDM: Practicing RAW Domain Diffusion Model for Real-world Image Restoration. CoRR abs/2508.19154 (2025) - 2024
- [c9]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 - [c8]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 - [c7]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 - [c6]Yuchuan Tian, Zhijun Tu, Hanting Chen, Jie Hu, Chao Xu, Yunhe Wang:
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers. NeurIPS 2024 - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]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) - [i12]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) - [i11]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) - [i10]Kun Cheng, Lei Yu, Zhijun Tu, Xiao He, Liyu Chen, Yong Guo, Mingrui Zhu, Nannan Wang, Xinbo Gao, Jie Hu:
Effective Diffusion Transformer Architecture for Image Super-Resolution. CoRR abs/2409.19589 (2024) - [i9]Junbo Qiao, Jincheng Liao, Wei Li, Yulun Zhang, Yong Guo, Yi Wen, Zhangxizi Qiu, Jiao Xie, Jie Hu, Shaohui Lin:
Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution. CoRR abs/2410.10140 (2024) - [i8]Yunshuai Zhou, Junbo Qiao, Jincheng Liao, Wei Li, Simiao Li, Jiao Xie, Yunhang Shen, Jie Hu, Shaohui Lin:
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration. CoRR abs/2412.08939 (2024) - 2023
- [c5]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 - [c4]Zhijun Tu, Jie Hu, Hanting Chen, Yunhe Wang:
Toward Accurate Post-Training Quantization for Image Super Resolution. CVPR 2023: 5856-5865 - [c3]Xudong Huang, Wei Li, Jie Hu, Hanting Chen, Yunhe Wang:
RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis. CVPR 2023: 8244-8253 - [c2]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 - [i7]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) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - 2022
- [c1]Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding:
ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. AAAI 2022: 2786-2794 - [i2]Junbo Qiao, Shaohui Lin, Yunlun Zhang, Wei Li, Jie Hu, Gaoqi He, Changbo Wang, Lizhuang Ma:
DCS-RISR: Dynamic Channel Splitting for Efficient Real-world Image Super-Resolution. CoRR abs/2212.07613 (2022) - 2021
- [i1]Zerun Wang, Liuyu Xiang, Fan Yang, Jinzhao Qian, Jie Hu, Haidong Huang, Jungong Han, Yuchen Guo, Guiguang Ding:
LODE: Deep Local Deblurring and A New Benchmark. CoRR abs/2109.09149 (2021)
Coauthor Index
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