About me

I am a research scientist at Huawei and lead a creative team. Previously, I was a post-doctoral researcher at Max Planck Institute for Informatics, working closely with Prof. Bernt Schiele. Before that, I obtained my PhD degree from South China University of Technology, supervised by Prof. Jian Chen and Prof. Mingkui Tan. My research interests include machine learning and computer vision.

[Hiring!] Actively recruiting research interns, scientists, and engineers, who would like to work in Shanghai. Please feel free to contact me!

Research Interests

  • Image Restoration
  • Model Compression
  • Model Robustness

Recent News

  • 2026/01    Two papers are accepted by ICLR in 2026.
  • 2025/11    Two papers are accepted by TIP in 2025.
  • 2025/11    Three papers are accepted by AAAI 2026.
  • 2025/09    Five papers are accepted by NeurIPS 2025.
  • 2025/06    Two papers are accepted by ICCV 2025.
  • 2025/05    Two papers are accepted by ICML 2025.
  • 2025/02    Four papers are accepted by CVPR 2025.
  • 2025/01    Our work GPD for distillation is accepted by ICLR 2025;

Selected Publications

Conference Paper

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution

Accepted by CVPR, 2020
PDF Code Poster Slides

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Accepted by NeurIPS, 2019
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MambaIRv2: Attentive State Space Restoration

Accepted by CVPR, 2025
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Discrimination-aware Channel Pruning for Deep Neural Networks

Accepted by NeurIPS, 2018
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Robustifying Token Attention for Vision Transformers

Accepted by ICCV, 2023
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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Accepted by ICML, 2020
PDF Code Poster Slides

Contrastive Neural Architecture Search with Neural Architecture Comparators

Accepted by CVPR, 2021 $~~~~$(co-first author)
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Journal Paper

Towards Accurate and Compact Architectures via Neural Architecture Transformer

Accepted by TPAMI, 2021
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Towards Lightweight Super-Resolution with Dual Regression Learning

Accepted by TPAMI, 2024
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Discrimination-aware Network Pruning for Deep Model Compression

Accepted by TPAMI, 2021
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Improving Generative Adversarial Networks with Local Coordinate Coding

Accepted by TPAMI, 2020 $~~~~$(co-first author)
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DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Accepted by IEEE Robotics and Automation Letters, 2024
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Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation

Accepted by TIP, 2024
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Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

Accepted by TMM, 2019
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Honor & Award

  • Assistant Chief Scientist at Huawei, 2024
  • MSRA Fellowship Nomination Award, 2018
  • Oral Presentation at ECCV in Tel Aviv, 2022
  • Oral Presentation at ICML in Stockholm, 2018
  • Oral Presentation at AAAI in New Orleans, 2018
  • National Scholarship, 2019 & 2020
  • Principle's Scholarship of SCUT, 2019 & 2020
  • Excellent Doctoral Innovation Fund of SCUT, 2019
  • Excellent Papers of Computer Academy of Guangdong (First Prize), 2021
  • Excellent Degree Dissertations of SCUT (Bachelor Degree), 2016

Internship & Collaboration

I am looking for self-motivated intern students that have an interest in my research areas. There is always room for new ideas and projects and I am happy to discuss them with you. When you are highly motivated, please send your CV to my email guoyongcs@gmail.com.

What you can get as an intern:

  • In-depth guidance towards publishing papers in top-tier conferences/journals
  • Sufficient computational resources
  • Competitive internship salary