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ORCIDJie Hu 0019
Person information
- affiliation: Meituan Group, Beijing, China
- affiliation: Chinese Academy of Sciences, Institute of Software, China
- affiliation: University of Chinese Academy of Sciences, China
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
![[0000-0002-5157-0172]](https://dblp.org/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 0020 — Zhejiang University, School of International Studies, Department of Linguistics, Hangzhou, China
- Jie Hu 0021 — Huawei Noah's Ark Lab
- 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, Department of Computer Science and Engineering, Rochester, 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
[c16]Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Denoising with a Joint-Embedding Predictive Architecture. ICLR 2025- [c15]Huijie Liu, Jingyun Wang, Shuai Ma, Jie Hu, Xiaoming Wei, Guoliang Kang:
Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models. ACM Multimedia 2025: 9227-9236 - [i22]Huijie Liu, Jingyun Wang, Shuai Ma, Jie Hu, Xiaoming Wei, Guoliang Kang:
Separate Motion from Appearance: Customizing Motion via Customizing Text-to-Video Diffusion Models. CoRR abs/2501.16714 (2025) - [i21]Huijie Liu, Bingcan Wang, Jie Hu, Xiaoming Wei, Guoliang Kang:
Omni-Dish: Photorealistic and Faithful Image Generation and Editing for Arbitrary Chinese Dishes. CoRR abs/2504.09948 (2025) - [i20]Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Xiaoming Wei, Enhua Wu:
Image Editing with Diffusion Models: A Survey. CoRR abs/2504.13226 (2025) - [i19]Jia Wang, Jie Hu, Xiaoqi Ma, Hanghang Ma, Yanbing Zeng, Xiaoming Wei:
MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation. CoRR abs/2509.10260 (2025) - 2024
- [j2]Xingzhe Su, Wenwen Qiang, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. 132(11): 5192-5216 (2024) - [c14]Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Real3D: The Curious Case of Neural Scene Degeneration. AAAI 2024: 1028-1036 - [c13]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI 2024: 1959-1967 - [c12]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI 2024: 12810-12820 - [i18]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR abs/2403.01549 (2024) - [i17]Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Deformable 3D Shape Diffusion Model. CoRR abs/2407.21428 (2024) - [i16]Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Fine-gained Zero-shot Video Sampling. CoRR abs/2407.21475 (2024) - [i15]Jiajun Liu, Yibing Wang, Hanghang Ma, Xiaoping Wu, Xiaoqi Ma, Xiaoming Wei, Jianbin Jiao, Enhua Wu, Jie Hu:
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input. CoRR abs/2408.15542 (2024) - [i14]Dengsheng Chen, Jie Hu, Xiaoming Wei, Enhua Wu:
Denoising with a Joint-Embedding Predictive Architecture. CoRR abs/2410.03755 (2024) - [i13]Dengsheng Chen, Jie Hu, Tiezhu Yue, Xiaoming Wei:
High-Resolution Image Synthesis via Next-Token Prediction. CoRR abs/2411.14808 (2024) - [i12]Lichen Ma, Tiezhu Yue, Pei Fu, Yujie Zhong, Kai Zhou, Xiaoming Wei, Jie Hu:
CharGen: High Accurate Character-Level Visual Text Generation Model with MultiModal Encoder. CoRR abs/2412.17225 (2024) - [i11]Xiaoping Wu, Jie Hu, Xiaoming Wei:
RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction. CoRR abs/2412.18390 (2024) - 2023
- [c11]Dengsheng Chen, Vince Junkai Tan, Zhilin Lu, Enhua Wu, Jie Hu:
OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework. CVPR Workshops 2023: 5018-5026 - [c10]Dengsheng Chen, Jie Hu, Vince Junkai Tan, Xiaoming Wei, Enhua Wu:
Elastic Aggregation for Federated Optimization. CVPR 2023: 12187-12197 - [c9]Jie Hu, Mengze Zeng, Enhua Wu:
Bag of Tricks with Quantized Convolutional Neural Networks for Image Classification. ICASSP 2023: 1-5 - [c8]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. ICLR 2023 - [i10]Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR abs/2303.05240 (2023) - [i9]Jie Hu, Mengze Zeng, Enhua Wu:
Bag of Tricks with Quantized Convolutional Neural Networks for image classification. CoRR abs/2303.07080 (2023) - [i8]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR abs/2312.10401 (2023) - 2022
- [c7]Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Networks. AAAI 2022: 942-950 - [i7]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. CoRR abs/2209.15278 (2022) - 2021
- [c6]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-Iterative and Lifelong Manner. CVPR 2021: 1225-1234 - [c5]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CVPR 2021: 12321-12330 - [c4]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. ICCV 2021: 12272-12281 - [i6]Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen:
Involution: Inverting the Inherence of Convolution for Visual Recognition. CoRR abs/2103.06255 (2021) - [i5]Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu:
Learning the Superpixel in a Non-iterative and Lifelong Manner. CoRR abs/2103.10681 (2021) - [i4]Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang:
Unifying Nonlocal Blocks for Neural Networks. CoRR abs/2108.02451 (2021) - [i3]Jie Hu, Ziheng Wu, Vince Junkai Tan, Zhilin Lu, Mengze Zeng, Enhua Wu:
Elastic-Link for Binarized Neural Network. CoRR abs/2112.10149 (2021) - 2020
- [j1]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu:
Squeeze-and-Excitation Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 2011-2023 (2020)
2010 – 2019
- 2018
- [c3]Jie Hu, Li Shen, Gang Sun:
Squeeze-and-Excitation Networks. CVPR 2018: 7132-7141 - [c2]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi:
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. NeurIPS 2018: 9423-9433 - [i2]Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi:
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks. CoRR abs/1810.12348 (2018) - 2017
- [i1]Jie Hu, Li Shen, Gang Sun:
Squeeze-and-Excitation Networks. CoRR abs/1709.01507 (2017) - 2016
- [c1]Wangjiang Zhu, Jie Hu, Gang Sun, Xudong Cao, Yu Qiao:
A Key Volume Mining Deep Framework for Action Recognition. CVPR 2016: 1991-1999
Coauthor Index
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last updated on 2026-02-10 22:53 CET by the dblp team
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