About Me

I am currently a Ph.D. student at MMLab@NTU starting from 2021 Fall, supervised by Prof. Chen Change Loy. Previously, I received my M.Eng. degree (2021) and B.Eng. degree (2018) from MC2 Lab@Beihang University, supervised by Prof. Mai Xu.
I am broadly interested in computer vision and deep learning.
My current research mainly focuses on low-level vision.

Publications

Preprints

Conference Papers

(* : Co-first author)

• SeedVR: Seeding Infinity in Diffusion Transformer Towards Generic Video Restoration,
  Jianyi Wang, Zhijie Lin, Meng Wei, Yang Zhao, Ceyuan Yang, Chen Change Loy, Lu Jiang,
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  [PDF]   [Project]

• Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution,
  Shangchen Zhou^*, Peiqing Yang^*, Jianyi Wang, Yihang Luo, Chen Change Loy,
  Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (Highlight).
   
  [PDF]   [Project]   [Code]   [Video]

• ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting,
  Zongsheng Yue, Jianyi Wang, Chen Change Loy,
  Conference on Neural Information Processing Systems (NeurIPS), 2023 (Spotlight).
  [PDF]   [Project]   [Code]

• [CLIP-IQA] Exploring CLIP for Assessing the Look and Feel of Images,
  Jianyi Wang, Kelvin C.K. Chan, Chen Change Loy,
   
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
  [PDF]   [Code]

• Smoothnet: A plug-and-play network for refining human poses in videos,
  Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu,
  European Conference on Computer Vision (ECCV), 2022.
  [PDF]   [Code]

• HiNet: Deep Image Hiding by Invertible Network,
  Junpeng Jing, Xin Deng, Mai Xu, Jianyi Wang, Zhenyu Guan,
  Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  [PDF]   [Code]

• [MW-GAN] Multi-level wavelet-based generative adversarial network for perceptual quality enhancement of compressed video,
  Jianyi Wang, Xin Deng, Mai Xu, Congyong Chen, Yuhang Song,
  European Conference on Computer Vision (ECCV), 2020.
  [PDF]   [Code]

• Arena: A general evaluation platform and building toolkit for multi-agent intelligence,
  Yuhang Song, Andrzej Wojcicki, Thomas Lukasiewicz, Jianyi Wang, Abi Aryan, Zhenghua Xu, Mai Xu, Zihan Ding, Lianlong Wu,
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.
  [PDF]   [Code]

• Mega-reward: Achieving human-level play without extrinsic rewards,
  Yuhang Song, Jianyi Wang, Thomas Lukasiewicz, Zhenghua Xu, Shangtong Zhang, Andrzej Wojcicki, Mai Xu,
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020.
  [PDF]   [Code]

• [DEHRL] Diversity-driven extensible hierarchical reinforcement learning,
  Yuhang Song^*, Jianyi Wang^*, Thomas Lukasiewicz, Zhenghua Xu, Mai Xu,
  Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2019 (Oral).
  [PDF]   [Code]

Journal Papers

• Efficient Diffusion Model for Image Restoration by Residual Shifting,
  Zongsheng Yue, Jianyi Wang, Chen Change Loy,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
   
  [PDF]   [Project]   [Code]   [Video]

• [StableSR] Exploiting Diffusion Prior for Real-World Image Super-Resolution,
  Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy,
  International Journal of Computer Vision (IJCV), 2024.
   
  [PDF]   [Project]   [Code]   [Video]

• MW-GAN+ for Perceptual Quality Enhancement on Compressed Video,
  Jianyi Wang, Mai Xu, Xin Deng, Liquan Shen, Yuhang Song,
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021.
  [PDF]   [Code]

• Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360 Videos,
  Jianyi Wang, Mai Xu, Lai Jiang, Yuhang Song,
  IEEE Transactions on Multimedia (TMM), 2020.
  [PDF]

• Predicting head movement in panoramic video: A deep reinforcement learning approach,
  Mai Xu, Yuhang Song, Jianyi Wang, MingLang Qiao, Liangyu Huo, Zulin Wang,
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
  [PDF]   [Code]

Education Background

Ph.D.
Aug. 2021 - Present | School of Computer Science and Engineering | Nanyang Technological University
Advisor: Prof. Chen Change Loy

M.Eng.
Sep. 2018 - Jan. 2021 | School of Electronics and Information Engineering | Beihang University
Advisor: Prof. Mai Xu

B.Eng.
Sep. 2015 - July 2018 | School of Electronics and Information Engineering | Beihang University
Sep. 2013 - July 2015 | School of Energy and Power Engineering | Beihang University
Advisor: Prof. Mai Xu

Experience

Research Intern
Jun. 2024 - Present | Seed-Vision@ByteDance, Singapore
Working with: Dr. Lu Jiang

Research Intern
Jan. 2021 - Aug. 2021 | SenseTime X Lab, China
Working with: Dr. Lei Yang

Research Intern
Mar. 2020 - Aug. 2020 | Bytedance AI Lab, China
Working with: Mr. Qian He and Mr. Siyu Zhou

Professional Service

Conference Reviewer

• CVPR2022, 2023, 2024 (Outstanding Reviewer, Top 2%), 2025
• ICCV2023 (Outstanding Reviewer), 2025
• AAAI2023, 2024, 2025
• ECCV2022, 2024
• NeurIPS2024, 2025
• ICLR2025

Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• International Journal of Computer Vision (IJCV)
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Multimedia (TMM)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Transactions on Broadcasting (TBC)
• IEEE Journal of Selected Topics in Signal Processing (JSTSP)
• IEEE/CAA Journal of Automatica Sinica (JAS)
• ACM Transactions on Graphics (TOG)
• Pattern Recognition (PR)
• Neurocomputing

Selected Awards

• 2022 AISG Research PhD Fellowship Award
• 2020 China National Scholarship
• 2016 China “Challenge Cup” National Entrepreneurship Competition (1st Prize)

Teaching

• NTU CX2006:Software Engineering, Teaching Assistant, Spring 2022 & Fall 2022.