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ORCIDCong Wang 0018
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (former): Dalian University of Technology, School of Mathematical Sciences, China
Other persons with the same name
- Cong Wang — disambiguation page
- Cong Wang 0001
![[0000-0003-0547-315X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0547-315X")
— City University of Hong Kong, Department of Computer Science, Hong Kong (and 1 more) - Cong Wang 0002 — Simon Fraser University, Burnaby, Canada
- Cong Wang 0003 — Beijing University of Posts and Telecommunications, School of Software Engineering, China
- Cong Wang 0004 — Tianjin University of Science and Technology, College of Computer Science and Information Engineering, China (and 1 more)
- Cong Wang 0005 — Harbin Institute of Technology, School of Electronics and Information Engineering, China (and 1 more)
- Cong Wang 0006 — George Mason University, USA (and 2 more)
- Cong Wang 0007 — Shandong University, School of Control Science and Engineering, Jinan, China (and 3 more)
- Cong Wang 0008 — Army Engineering University of PLA, College of Communications Engineering, Nanjing, China
- Cong Wang 0009 — Northeastern University at Qinhuangdao, School of Computer and Communication Engineering, China
- Cong Wang 0010 — École Polytechnique Fédérale de Lausanne, Switzerland
- Cong Wang 0011 — Southeast University, National Mobile Commutation Research Laboratory, Nanjing, China (and 1 more)
- Cong Wang 0012 — University of California Santa Cruz, CA, USA (and 2 more)
- Cong Wang 0013 — Northwestern Polytechnical University, School of Computer Science, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Xi'an, China
- Cong Wang 0014 — University of North Carolina at Chapel Hill, NC, USA (and 1 more)
- Cong Wang 0015 — New Jersey Institute of Technology, Newark, NJ, USA (and 1 more)
- Cong Wang 0016 — Wright State University, Dayton, OH, USA
- Cong Wang 0017 — Tianjin University, College of Intelligence and Computing, China
- Cong Wang 0019 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Cong Wang 0020 — Tsinghua University, School of Software, KLISS, BNRist, Beijing, China
- Cong Wang 0021 — University of Queensland, Queensland Brain Institute, Saint Lucia, QLD, Australia (and 1 more)
- Cong Wang 0022 — Macquarie University, Department of Economics, Sydney, NSW, Australia
- Cong Wang 0023 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Cong Wang 0024 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 1 more)
- Cong Wang 0025 — Singapore-MIT Alliance for Research and Technology, Singapore (and 1 more)
- Cong Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China (and 1 more)
- Cong Wang 0027 — Chinese Academy of Sciences, Shenyang Institute of Automation, China (and 1 more)
- Cong Wang 0028 — Nanjing University of Aeronautics and Astronautics, Department of Biomedical Engineering, China
- Cong Wang 0029 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 1 more)
- Cong Wang 0030 — China University of Mining and Technology, School of Mechanical, Electronic and Information Engineering, Beijing, China
- Cong Wang 0031 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, Jiangsu Key Laboratory of Medical Optics, China (and 1 more)
- Cong Wang 0032 (aka: Cherry Cong Wang) — University of Washington, Information School, Seattle, WA, USA
- Cong Wang 0033 — Northwestern Polytechnical University, School of Artificial Intelligence, OPtics and ElectroNics, iOPEN, Xi'an, China (and 2 more)
- Cong Wang 0034 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Cong Wang 0035 — Jilin University, College of Communication Engineering, Changchun, China
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2020 – today
- 2024
[j21]Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Zhixun Su:
Coarse-to-fine mechanisms mitigate diffusion limitations on image restoration. Comput. Vis. Image Underst. 248: 104118 (2024)- [j20]Cheng Yang, Cong Wang, Lijing Liang, Zhixun Su:
Real-world image denoising via efficient diffusion model with controllable noise generation. J. Electronic Imaging 33(4) (2024) - [j19]Yakun Ju, Muwei Jian, Cong Wang, Cong Zhang, Junyu Dong, Kin-Man Lam:
Estimating High-Resolution Surface Normals via Low-Resolution Photometric Stereo Images. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2512-2524 (2024) - [j18]Bo Fu, Yunyun Jiang, Di Wang, Jiaxin Gao, Cong Wang, Ximing Li:
Uncertainty-Aware Sparse Transformer Network for Single-Image Deraindrop. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j17]Yue Shen, Wanshu Fan, Cong Wang, Wenfei Liu, Wei Wang, Qiang Zhang, Dongsheng Zhou:
Dual-Guided Prototype Alignment Network for Few-Shot Medical Image Segmentation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c18]Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Wei Wang, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. AAAI 2024: 5327-5335 - [c17]Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. AAAI 2024: 5336-5344 - [c16]Houcheng Su, Weihao Luo, Daixian Liu, Mengzhu Wang, Jing Tang, Junyang Chen, Cong Wang, Zhenghan Chen:
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization. AAAI 2024: 15091-15099 - [c15]Wangzi Qi, Wei Wang, Chao Huang, Jie Wen, Cong Wang:
Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation. ICML 2024 - [c14]Cong Wang, Wei Wang, Chengjin Yu, Jie Mu:
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. IJCAI 2024: 1371-1379 - [c13]Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao:
Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. IJCAI 2024: 1407-1415 - [c12]Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu, Cong Wang, Xiaochun Cao:
Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning. IJCAI 2024: 1753-1761 - [c11]Cong Wang, Chengjin Yu, Jie Mu, Wei Wang:
PercepLIE: A New Path to Perceptual Low-Light Image Enhancement. ACM Multimedia 2024: 6530-6539 - [c10]Cong Wang, Liyan Wang, Jie Mu, Chengjin Yu, Wei Wang:
Progressive Local and Non-Local Interactive Networks with Deeply Discriminative Training for Image Deraining. ACM Multimedia 2024: 10326-10335 - [i12]Hao Li, Wei Wang, Cong Wang, Zhigang Luo, Xinwang Liu, Kenli Li, Xiaochun Cao:
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection. CoRR abs/2402.01304 (2024) - [i11]Cong Wang, Jinshan Pan, Yeying Jin, Liyan Wang, Wei Wang, Gang Fu, Wenqi Ren, Xiaochun Cao:
How Powerful Potential of Attention on Image Restoration? CoRR abs/2403.10336 (2024) - [i10]Cong Wang, Jinshan Pan, Wei Wang, Gang Fu, Siyuan Liang, Mengzhu Wang, Xiao-Ming Wu, Jun Liu:
Correlation Matching Transformation Transformers for UHD Image Restoration. CoRR abs/2406.00629 (2024) - [i9]Cong Wang, Wei Wang, Chengjin Yu, Jie Mu:
Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks. CoRR abs/2406.00721 (2024) - [i8]Liyan Wang, Cong Wang, Jinshan Pan, Weixiang Zhou, Xiaoran Sun, Wei Wang, Zhixun Su:
Ultra-High-Definition Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution. CoRR abs/2406.13607 (2024) - 2023
- [j16]Wei Wang, Mengzhu Wang, Xiao Dong, Long Lan, Quannan Zu, Xiang Zhang, Cong Wang:
Class-specific and self-learning local manifold structure for domain adaptation. Pattern Recognit. 142: 109654 (2023) - [c9]Cong Wang, Jinshan Pan, Wei Wang, Jiangxin Dong, Mengzhu Wang, Yakun Ju, Junyang Chen:
PromptRestorer: A Prompting Image Restoration Method with Degradation Perception. NeurIPS 2023 - [i7]Cong Wang, Jinshan Pan, Wanyu Lin, Jiangxin Dong, Xiao-Ming Wu:
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency. CoRR abs/2303.07033 (2023) - [i6]Liyan Wang, Qinyu Yang, Cong Wang, Wei Wang, Jinshan Pan, Zhixun Su:
Learning A Coarse-to-Fine Diffusion Transformer for Image Restoration. CoRR abs/2308.08730 (2023) - 2022
- [j15]Cong Wang, Honghe Zhu, Wanshu Fan, Xiao-Ming Wu, Junyang Chen:
Single image rain removal using recurrent scale-guide networks. Neurocomputing 467: 242-255 (2022) - [j14]Xin Cui, Cong Wang, Dongwei Ren, Yunjin Chen, Pengfei Zhu:
Semi-Supervised Image Deraining Using Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8327-8341 (2022) - [j13]Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu:
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6737-6748 (2022) - [j12]Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu:
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7079-7090 (2022) - [c8]Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Online-Updated High-Order Collaborative Networks for Single Image Deraining. AAAI 2022: 2406-2413 - [c7]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Kang-Wook Kim, Younggeun Kim, Jae-Young Lee, Zechao Li, Jinshan Pan, Dongseok Shim, Ki-Ung Song, Jinhui Tang, Cong Wang, Zhihao Zhao:
NTIRE 2022 Challenge on Learning the Super-Resolution Space. CVPR Workshops 2022: 785-796 - [i5]Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Online-updated High-order Collaborative Networks for Single Image Deraining. CoRR abs/2202.06568 (2022) - [i4]Cong Wang, Jinshan Pan, Xiao-Ming Wu:
Structural Prior Guided Generative Adversarial Transformers for Low-Light Image Enhancement. CoRR abs/2207.07828 (2022) - 2021
- [j11]Wanshu Fan, Yutong Wu, Cong Wang:
Single image rain streak removal via layer similarity prior. Appl. Intell. 51(8): 5822-5835 (2021) - [j10]Guangle Yao, Cong Wang, Yutong Wu, Yang Wang:
Pyramid fully residual network for single image de-raining. Neurocomputing 456: 168-178 (2021) - [j9]Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Ming Yang, Cong Wang:
TAM: Targeted Analysis Model With Reinforcement Learning on Short Texts. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2772-2781 (2021) - [j8]Cong Wang, Xiaoying Xing, Guangle Yao, Zhixun Su:
Single image deraining via deep shared pyramid network. Vis. Comput. 37(7): 1851-1865 (2021) - [c6]Zhen Wang, Cong Wang, Zhixun Su, Junyang Chen:
Dense Feature Pyramid Grids Network for Single Image Deraining. ICASSP 2021: 2025-2029 - 2020
- [j7]Cong Wang, Yutong Wu, Yu Cai, Guangle Yao, Zhixun Su, Hongyan Wang:
Single image deraining via deep pyramid network with spatial contextual information aggregation. Appl. Intell. 50(5): 1437-1447 (2020) - [j6]Cong Wang, Wanshu Fan, Honghe Zhu, Zhixun Su:
Single image deraining via nonlocal squeeze-and-excitation enhancing network. Appl. Intell. 50(9): 2932-2944 (2020) - [j5]Cong Wang, Wanshu Fan, Yutong Wu, Zhixun Su:
Weakly supervised single image dehazing. J. Vis. Commun. Image Represent. 72: 102897 (2020) - [j4]Cong Wang, Man Zhang, Zhixun Su, Guangle Yao:
Densely connected multi-scale de-raining net. Multim. Tools Appl. 79(27-28): 19595-19614 (2020) - [c5]Honghe Zhu, Cong Wang, Yajie Zhang, Zhixun Su, Guohui Zhao:
Physical Model Guided Deep Image Deraining. ICME 2020: 1-6 - [c4]Cong Wang, Xiaoying Xing, Yutong Wu, Zhixun Su, Junyang Chen:
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. ACM Multimedia 2020: 1643-1651 - [c3]Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen:
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. ACM Multimedia 2020: 2517-2525 - [c2]Junyang Chen, Zhiguo Gong, Wei Wang, Xiao Dong, Wei Wang, Weiwen Liu, Cong Wang, Xian Chen:
Inductive Document Representation Learning for Short Text Clustering. ECML/PKDD (3) 2020: 600-616 - [i3]Honghe Zhu, Cong Wang, Yajie Zhang, Zhixun Su, Guohui Zhao:
Physical Model Guided Deep Image Deraining. CoRR abs/2003.13242 (2020) - [i2]Cong Wang, Xiaoying Xing, Zhixun Su, Junyang Chen:
DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal. CoRR abs/2008.00767 (2020) - [i1]Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen:
Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network. CoRR abs/2008.02763 (2020)
2010 – 2019
- 2019
- [j3]Cong Wang, Man Zhang, Zhixun Su, Guangle Yao, Yan Wang, Xiyan Sun, Xiaonan Luo:
From Coarse to Fine: A Stage-Wise Deraining Net. IEEE Access 7: 84420-84428 (2019) - [j2]Cong Wang, Man Zhang, Jinshan Pan, Zhixun Su:
Single image rain removal via densely connected contextual and semantic correlation net. J. Electronic Imaging 28(3): 033018 (2019) - [j1]Cong Wang, Man Zhang, Zhixun Su, Yutong Wu, Guangle Yao, Hongyan Wang:
Learning a multi-level guided residual network for single image deraining. Signal Process. Image Commun. 78: 206-215 (2019) - [c1]Cong Wang, Hongyan Wang, Zhixun Su, Yan Yang:
Embedding Non-Local Mean in Squeeze-and-Excitation Network for Single Image Deraining. ICME Workshops 2019: 264-269
Coauthor Index
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