Yong Guo

guoyongcs@gmail.com

PostDoc Researcher in MPI

Google Scholar

About me

I am a post-doctoral researcher at Max Planck Institute for Informatics (MPI-INF), working with Prof. Bernt Schiele. I obtained my PhD degree with the School from South China University of Technology. My research interests include machine learning and computer vision. I also served as the reviewer for several top-tier conferences and journals, such as NeurIPS, CVPR, ICML, TPAMI, TIP, TNNLS.

Research Interests

Model Robustness & Compact Architecture Design
Image Super-Resolution
Generative Models

Education & Research

PostDoc Researcher, 2021 ~ Now

Max Planck Institute for Informatics (MPI-INF)
Ph.D. in Software Engineering, 2016 ~ 2021

South China University of Technology (SCUT)
BSc in Software Engineering, 2012 ~ 2016

South China University of Technology (SCUT)

Publications

Conference Paper

Robustifying Token Attention for Vision Transformers

Accepted by ICCV, 2023

Yong Guo, David Stutz, Bernt Schiele

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Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images

Accepted by ICCV, 2023

Bingna Xu$^*$, Yong Guo$^*$, Luoqian Jiang, MianJie Yu, Jian Chen

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Improving Robustness of Vision Transformers by Reducing Sensitivity to Patch Corruptions

Accepted by CVPR, 2023

Yong Guo, David Stutz, Bernt Schiele

PDF Code Poster Slides

Improving Robustness by Enhancing Weak Subnets

Accepted by ECCV, 2022

Yong Guo, David Stutz, Bernt Schiele

PDF Code Poster Video

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

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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Double Forward Propagation for Memorized Batch Normalization

Accepted by AAAI (Oral), 2018

Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen, Mingkui Tan

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Adversarial Learning with Local Coordinate Coding

Accepted by ICML (Oral), 2018 $~~~~$(co-first author)

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

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Dynamic Extension Nets for Few-shot Semantic Segmentation

Accepted by ACM MM, 2020 $~~~~$(co-first author)

Lizhao Liu$^*$, Junyi Cao$^*$, Minqian Liu$^*$, Yong Guo$^*$, Qi Chen, Mingkui Tan

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AdaXpert: Adapting Neural Architecture for Growing Data

Accepted by ICML, 2021

Shuaicheng Niu, Jiaxiang Wu, Guanghui Xu, Yifan Zhang, Yong Guo, Peilin Zhao, Peng Wang, Mingkui Tan

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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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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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Content-Aware Convolutional Neural Networks

Accepted by Neural Networks, 2021

Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang

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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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Multi-way Backpropagation for Training Compact Deep Neural Networks

Accepted by Neural Networks, 2020

Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, Qinfeng Shi, 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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Disturbance-immune Weight Sharing for Neural Architecture Search

Accepted by Neural Networks, 2021

Shuaicheng Niu, Jiaxiang Wu, Yifan Zhang, Yong Guo, Peilin Zhao, Junzhou Huang, Mingkui Tan

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Hierarchical Neural Architecture Search for Single Image Super-Resolution

Accepted by IEEE SPL, 2020

Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen

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Conditional Automated Channel Pruning for Deep Neural Networks

Accepted by IEEE SPL, 2021 $~~~~$(co-first author)

Yixin Liu$^*$, Yong Guo$^*$, Jiaxin Guo, Luoqian Jiang, 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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Deep View Synthesis via Self-Consistent Generative Network

Accepted by TMM, 2021

Zhuoman Liu, Wei Jia, Ming Yang, Peiyao Luo, Yong Guo, Mingkui Tan

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Online Feature Selection of Class Imbalance via PA Algorithm

Accepted by JCST, 2016

Chao Han, Yun-Kun Tan, Jin-Hui Zhu, Yong Guo, Jian Chen, Qing-Yao Wu

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Honor & Award

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