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.
I am now working closely with Zongsheng Yue and Shangchen Zhou at Nanyang Technological University and Kelvin C.K. Chan at Google Research. Besides, I have been fortunate to work with Lei Yang at SenseTime, Xin Deng at Beihang University and Yuhang Song at University of Oxford.

Publications

Preprints

• Exploiting Diffusion Prior for Real-World Image Super-Resolution,
  Jianyi Wang, Zongsheng Yue, Shangchen Zhou, Kelvin C.K. Chan, Chen Change Loy,
  Preprints, 2023.
  [PDF]   [Project]   [Code]

Conference Papers

(* : Co-first author)

• 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]

• 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]

• 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]

• 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

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

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

Professional Service

Conference Reviewer

• CVPR2022, 2023
• ICCV2023
• AAAI2023
• ECCV2022

Journal Reviewer

• IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• IEEE Transactions on Image Processing (TIP)
• IEEE Transactions on Multimedia (TMM)
• IEEE Journal of Selected Topics in Signal Processing (JSTSP)
• IEEE/CAA Journal of Automatica Sinica (JAS)

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.