Di Wang (王迪) Ph.D. Candidate School of Software Technology, Dalian University of Technology Office: Information building B-48 Email: diwang1211@mail.dlut.edu.cn

About Me

I'm Di Wang, currently a 3rd-year Ph.D. Candidate at Dalian University of Technology in DUT MEDIA LAB, supervised by Prof. Xin Fan and worked closely with Prof. Risheng Liu. Before that, I received my Master degree in Computer Science from the Nanjing University of Science and Technology (NJUST) in 2021, under the supervision of Prof. Jinshan Pan and Prof. Jinhui Tang. My researches mainly focus on Deep Learning and its applications in Image Restoration and Enhancement.

Education

Dalian University Technology, China (Sep. 2021 - Now)

• Doctor of philosophy (Ph. D.), Software Engineering
• Advisor: Prof. Xin Fan

Nanjing University of Science and Technology, China (Sep. 2018 - Apr. 2021)

• Master of philosophy (M.S.), Computer Science
• Advisor: Prof. Jinshan Pan

Liaoning Normal University, China (Sep. 2014 - Jun. 2018)

• Bachelor of Engineering (B.E.), Digital Media Technology
• Graduated with Excellent Thesis Award

News

• 2023.06: We received the honorary title of "Academic New Star" in the 2023 IJCAI YES Conference !
• 2023.05: One paper about cross-modality image fusion accepted to Information Fusion (JCR Q1) !
• 2022.09: One paper about image deraining is accepted to JCST (JCR Q2) !
• 2022.04: One paper about cross-modality image fusion is accepted to IJCAI'22 !
• 2022.02: One paper about underwater image enhancement is accepted to IEEE ICRA'22 !
• 2021.11: One paper about image denoising is accepted to Journal of Software !
• 2021.03: One paper about image deraining is accepted to IEEE ICME'21 !

Research Interests

• Computer Vision: Image Restoration, Underwater Image Enhancement, Multimodal Image Registration and Fusion

Publications

2021

Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration
Di Wang, Jinyuan Liu, Long Ma, Risheng Liu, and Xin Fan*
Under Review
[PDF][Code]

An Interactively Reinforced Paradigm for Joint Infrared-Visible Image Fusion and Saliency Object Detection
Di Wang, Jinyuan Liu, Risheng Liu, and Xin Fan*
Information Fusion (IF, JCR Q1)
[PDF][Code]

Single Image Deraining Using Residual Channel Attention Networks
Di Wang, Jinshan Pan*, and Jinhui Tang
Journal of Computer Science and Technology (JCST, JCR Q2)
[PDF][Code]

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration
Di Wang, Jinyuan Liu, Xin Fan, and Risheng Liu*
IJCAI 2022 (CCF-A, Oral Presentation, Acceptance Rate ≤ 3.75%)
[PDF][Code]

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement
Di Wang, Long Ma, Risheng Liu, and Xin Fan*
IEEE ICRA (CCF-B), 2022
[PDF][Code]

Two-scale Real Image Blind Denoising with Self-supervised Constraints
Di Wang, Jinshan Pan, and Jinhui Tang
Journal of Software (CCF-A), 2021
[PDF][Code]

Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining
Di Wang*, Hao Tang*, Jinshan Pan, and Jinhui Tang
IEEE ICME (CCF-B), 2021
[PDF][Code]

• The honorary title of "Academic New Star" in the IJCAI YES 2023
• Excellent Master's Thesis of Jiangsu Province, 2022
• Second Prize Scholarship of Dalian University of Technology, 2022
• Excellent Master's Thesis of Nanjing University of Science and Technology, 2022
• Thrid Prize Scholarship of Nanjing University of Science and Technology, 2020
• Second Prize Scholarship of Nanjing University of Science and Technology, 2019
• First Prize Scholarship of Nanjing University of Science and Technology, 2018

• Journal Reviewer:
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
Information Fusion (IF)
Pattern Recognition (PR)
Knowledge-Based Systems (KBS)
The Visual Computer (TVC)
Image and Vision Computing (IVC)

• Conference Reviewer:
Association for the Advancement of Artificial Intelligence (AAAI): 2024
ACM International Conference on Multimedia (ACM MM): 2023-2024