Biography

I am an Associate Professor at Wuhan University. Prior to that, I was a senior researcher at Tencent AI Lab. I finished my PhD study in Electronic Engineering Department of City University of Hong Kong, during which I have visited Center for Cognition, Vision, and Learning (CCVL) of UCLA.

I have been working on several projects across different subjects/areas by Statistical Machine Learning, including Computer Vision with Prof. Alan Yuille, and Complex Network with Prof. Guanrong Chen. My current/prior research interests include 3D Computer Vision, and Multi-Task Learning.

• Finding Dynamics Preserving Adversarial Winning Tickets.
  Xupeng Shi, Pengfei Zheng, A. Adam Ding, Yuan Gao, and Weizhong Zhang.
  Artificial Intelligence and Statistics (AISTATS), 2022.

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• Exploiting Learnable Joint Groups for Hand Pose Estimation.
  Moran Li*, Yuan Gao*, and Nong Sang. (* indicates equal contributions)
  AAAI Conference on Artificial Intelligence (AAAI), 2021.

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• MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning.
  Yuan Gao*, Haoping Bai*, Zequn Jie, Jiayi Ma, Kui Jia, and Wei Liu. (* indicates equal contributions)
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

  PDF BibTex Code Supp. Materials arXiv

• Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images.
  Yuan Gao, and Alan L. Yuille.
  International Journal of Computer Vision (IJCV), 2019.

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• ML277 specifically enhances the fully activated open state of KCNQ1 by modulating VSD-pore coupling.
  Panpan Hou, Jingyi Shi, Kelli McFarland White, Yuan Gao, and Jianmin Cui.
  eLife 8:e48576, 2019.

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• NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction.
  Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, and Alan L. Yuille.
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

  PDF BibTex Code Supp. Materials arXiv

• Face Anti-Spoofing: Model Matters, So Does Data.
  Xiao Yang*, Wenhan Luo*, Linchao Bao, Yuan Gao, Dihong Gong, Shibao Zheng, Zhifeng Li, and Wei Liu. (* indicates equal contributions)
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

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• Feature-guided Gaussian Mixture Model for Image Matching.
  Jiayi Ma, Xingyu Jiang, Junjun Jiang, and Yuan Gao^. (^ indicates corresponding author)
  Pattern Recognition, vol.92, pp.231-245, 2019.

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• Reduced-Rank Linear Dynamical Systems.
  Qi She, Yuan Gao, Kai Xu, and Rosa H.M. Chan.
  AAAI Conference on Artificial Intelligence (AAAI), 2018.

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• Inactivation of KCNQ1 potassium channels reveals dynamic coupling between voltage sensing and pore opening.
  Panpan Hou, Jodene Eldstrom, Jingyi Shi, Ling Zhong, Kelli McFarland, Yuan Gao, David Fedida, and Jianmin Cui.
  Nature Communications, vol.8, article no.1730, 2017.

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• Locality Preserving Matching.
  Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, and Yuan Gao.
  International Joint Conference on Artificial Intelligence (IJCAI), 2017.

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• Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images.
  Yuan Gao, and Alan L. Yuille.
  IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017.

  PDF BibTex Supp. Materials arXiv

• Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples.
  Yuan Gao, Jiayi Ma, and Alan L. Yuille.
  IEEE Transactions on Image Processing (TIP), vol.26, no.5, pp.1-16, 2017. (ESI Highly Cited Paper)

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• Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation.
  Yuan Gao, and Alan L. Yuille.
  European Conference on Computer Vision (ECCV), 408-424, 2016.

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• Robust feature matching for remote sensing image registration via locally linear transforming.
  Jiayi Ma, Huabing Zhou, Ji Zhao, Yuan Gao, Junjun Jiang, and Jinwen Tian.
  IEEE Transactions on Geoscience and Remote Sensing (TGRS), vol.53, no.12, pp.6469-6481, 2016. (ESI Hot Paper & ESI Highly Cited Paper)

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• Naming Game on Networks: Let Everyone be Both Speaker and Hearer.
  Yuan Gao, Guanrong Chen, and Rosa H. M. Chan.
  Scientific Reports, vol.4, no.6149, 2014.

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• A high-throughput zebrafish screening method for visual mutants by light-induced locomotor response.
  Yuan Gao, Rosa H. M. Chan, Tommy W. S. Chow, Liyun Zhang, Sylvia Bonilla, Yuk Fai Leung, et al.
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), vol.11, no.4, pp.693-701, 2014.

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