Yong Guo

guoyongcs@gmail.com

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.

Research Interests

AIGC Efficient Foundation Models
Model Compression
Image/Video Restoration

Selected Publications

Conference Paper

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

Accepted by CVPR, 2020

Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan

PDF Code Poster Slides

NAT: Neural Architecture Transformer for Accurate and Compact Architectures

Accepted by NeurIPS, 2019

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang

PDF Code Poster Slides

MambaIRv2: Attentive State Space Restoration

Accepted by CVPR, 2025

Hang Guo*, Yong Guo*, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

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Discrimination-aware Channel Pruning for Deep Neural Networks

Accepted by NeurIPS, 2018

Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu

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Robustifying Token Attention for Vision Transformers

Accepted by ICCV, 2023

Yong Guo, David Stutz, Bernt Schiele

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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search

Accepted by ICML, 2020

Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan

PDF Code Poster Slides

Contrastive Neural Architecture Search with Neural Architecture Comparators

Accepted by CVPR, 2021 (co-first author)

Yaofo Chen^*, Yong Guo^*, Qi Chen, Minli Li, Yaowei Wang, Wei Zeng, Mingkui Tan

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Journal Paper

Towards Accurate and Compact Architectures via Neural Architecture Transformer

Accepted by TPAMI, 2021

Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang

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Towards Lightweight Super-Resolution with Dual Regression Learning

Accepted by TPAMI, 2024

Yong Guo, Mingkui Tan, Zeshuai Deng, Jingdong Wang, Qi Chen, Jiezhang Cao, Yanwu Xu, Jian Chen

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Discrimination-aware Network Pruning for Deep Model Compression

Accepted by TPAMI, 2021

Jing Liu, Bohan Zhuang, Zhuangwei Zhuang, Yong Guo, Junzhou Huang, Jinhui Zhu, Mingkui Tan

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Improving Generative Adversarial Networks with Local Coordinate Coding

Accepted by TPAMI, 2020 (co-first author)

Jiezhang Cao^*, Yong Guo^*, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan

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DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

Accepted by IEEE Robotics and Automation Letters, 2024

Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee K. Wong, Zhenguo Li, Hengshuang Zhao

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Enhanced Long-Tailed Recognition with Contrastive CutMix Augmentation

Accepted by TIP, 2024

Haolin Pan^*, Yong Guo^*, Mianjie Yu, Jian Chen

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Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

Accepted by TMM, 2019

Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, Mingkui Tan

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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