Xiang Chen (陈 翔)

Ph.D. Candidate

School of Computer Science and Engineering
Nanjing University of Science and Technology

Email: chenxiang@njust.edu.cn
[Google Scholar] [Github] [ORCID] [DBLP]

Biography

I am currently a 3rd-year Ph.D. candidate at Intelligent Media Analysis Group (IMAG Lab), School of Computer Science and Engineering, Nanjing University of Science and Technology (NJUST), under the supervision of Prof. Jinshan Pan. I also serve as the founder and CEO of EntroVision. My research interests include image processing and computer vision, mainly focusing on image deraining and low-level vision problems. If you are interested in my research, please feel free to contact me (any question / suggestion / collaboration).

News

Selected Publications [Full List] (^Co-first author; *Corresponding author)

 

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

Xiang Chen, Jinshan Pan*, Jiangxin Dong, Jinhui Tang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
[Paper] [Project] [Code]

 

DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments

Shuhong Liu, Xiang Chen, Hongming Chen, Quanfeng Xu, Mingrui Li*
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Project] [Code]

 

Collaborative Feedback Discriminative Propagation for Video Super-Resolution

Hao Li, Xiang Chen, Jiangxin Dong, Jinhui Tang, Jinshan Pan*
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 (Minor Revision).
[Paper] [Code]

 

Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video

Junkai Fan, Kun Wang, Zhiqiang Yan, Xiang Chen, Shangbing Gao, Jun Li*, Jian Yang*
AAAI Conference on Artificial Intelligence (AAAI), 2025.
[Paper] [Code]

 

Bidirectional Multi-Scale Implicit Neural Representations for Image Deraining

Xiang Chen, Jinshan Pan*, Jiangxin Dong
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
[Paper][Code]

 

FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration

Hao Li^, Xiang Chen^, Jiangxin Dong, Jinhui Tang, Jinshan Pan*
arXiv preprint arXiv: 2412.01427 (arXiv), 2024.
[Paper] [Project] [Code]

 

Towards Ultra-High-Definition Image Deraining: A Benchmark and An Efficient Method

Hongming Chen^, Xiang Chen^, Chen Wu, Zhuoran Zheng, Jinshan Pan, Xianping Fu*
arXiv preprint arXiv: 2405.17074 (arXiv), 2024.
[Paper] [Code]

 

Rethinking Multi-Scale Representations in Deep Deraining Transformer

Hongming Chen, Xiang Chen*, Jiyang Lu, Yufeng Li*
AAAI Conference on Artificial Intelligence (AAAI), 2024.
[Paper][Code]

 

Learning A Spiking Neural Network for Efficient Image Deraining

Tianyu Song, Guiyue Jin, Pengpeng Li, Kui Jiang, Xiang Chen, Jiyu Jin*
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
[Paper][Code]

 

Learning A Sparse Transformer Network for Effective Image Deraining

Xiang Chen, Hao Li, Mingqiang Li, Jinshan Pan*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Code]

 

Hybrid CNN-Transformer Feature Fusion for Single Image Deraining

Xiang Chen, Jinshan Pan*, Jiyang Lu, Zhentao Fan, Hao Li
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[Paper] [Code]

 

Unpaired Deep Image Deraining Using Dual Contrastive Learning

Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li*, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
[Paper] [Code]

 

Unpaired Deep Image Dehazing Using Contrastive Disentanglement Learning

Xiang Chen^, Zhentao Fan^, Pengpeng Li, Longgang Dai, Caihua Kong, Zhuoran Zheng, Yufeng Huang, Yufeng Li*
European Conference on Computer Vision (ECCV), 2022.
[Paper] [Code]

Selected Honors

2022.09-Present (Nanjing University of Science and Technology):

2019.09-2022.06 (Shenyang Aerospace University):

Competition Awards

Fundings

Invited Talks

Professional Services

Area Chair:

  • ACM International Conference on Multimedia (ACM MM 2025)
  • International Joint Conference on Neural Networks (IJCNN 2025)

Editorial Board Member:

  • Deep Learning and Pattern Recognition (DLPR)

Journal Reviewer:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • IEEE Transactions on Geoscience and Remote Sensing (TGRS)
  • Pattern Recognition (PR)
  • Engineering Applications of Artificial Intelligence (EAAI)
  • Science China Information Sciences (SCIS)
  • Machine Intelligence Research (MIR)
  • Computer Vision and Image Understanding (CVIU)
  • IEEE Signal Processing Letters (SPL)
  • IEEE Geoscience and Remote Sensing Letters (GRSL)
  • Scientific Reports
  • International Journal of Digital Earth (IJDE)
  • Multimedia Systems
  • The Visual Computer (TVCJ)
  • The Journal of Supercomputing
  • Machine Vision and Applications
  • Optics Communication (Opt Commun)
  • Signal, Image and Video Processing (SIVP)
  • Journal of Electronic Imaging (JEI)
  • Journal of Circuits, Systems, and Computers (JCSC)
  • KSII Transactions on Internet and Information Systems

Conference Reviewer:

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022-2025)
  • IEEE International Conference on Computer Vision (ICCV 2023, 2025)
  • European Conference on Computer Vision (ECCV 2022, 2024)
  • International Conference on Machine Learning (ICML 2024-2025)
  • Annual Conference on Neural Information Processing Systems (NeurIPS 2023-2025)
  • International Conference on Learning Representations (ICLR 2024-2025)
  • AAAI Conference on Artificial Intelligence (AAAI 2023-2025)
  • International Joint Conference on Artificial Intelligence (IJCAI 2023-2025)
  • ACM International Conference on Multimedia (ACM MM 2022-2024)
  • Medical Image Computing and Computer-Assisted Intervention (MICCAI 2023-2025)
  • European Conference on Artifical Intelligence (ECAI 2024-2025)
  • Asian Conference on Computer Vision (ACCV 2022, 2024)
  • IEEE Winter Conference on Applications of Computer Vision (WACV 2023-2025)
  • International Conference on Artificial Intelligence and Statistics (AISTATS 2025)

Collaborators