业绩考核

OA系统

各系教师

高源

高源

电话:

邮箱:yuangaoeis@whu.edu.cn

办公地点:

个人主页:https://yuan-gao.net/

研究方向:机器学习、计算机视觉

导师类型:博导/硕导

个人简介

2005.09 - 2009.06,华中科技大学,生物医学工程,学士
2009.09 - 2012.03,华中科技大学,模式识别与智能系统,硕士
2012.09 - 2016.10,香港城市大学,电子工程,博士
2015.04 - 2015.11,加州大学洛杉矶分校(UCLA),统计系,访问研究员(Visiting Graduate Researcher)

2016.02 - 2016.04,香港城市大学,副研究员(Research Associate) 

2017.01 - 2020.09,腾讯AI Lab,高级研究员

2020.09 - 2022.10,拼多多,算法专家

2022.12至今,武汉大学,副教授

主要科研课题及项目

计算机视觉、机器学习、模式识别、医学图像处理等


1. 国家自然科学基金(青年项目),2024 - 2026

2. 湖北省自然科学基金,2023 - 2025

3. 湖北省武汉市曙光计划项目,2023 - 2025


代表性论文论著

发表论文近30篇,其中近20篇发表在Nature Communications, IJCV, ICLR, CVPR, ECCV, AAAI, IJCAI, IEEE TIP, PR等领域权威期刊或会议上。
发表论文中有2篇入选ESI高被引论文1篇入选ESI热点论文
Google Scholar引用量超过2000次,详见:https://scholar.google.com.hk/citations?user=AAPYLWwAAAAJ&hl=en


[28] Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu, Gui-Song Xia, and Jiayi Ma. "Free Lunches in Auxiliary Learning: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost", in International Conference on Learning Representations (ICLR), 2024. (机器学习顶会)

[27] Yifan Xia, Yifan Lu, Yuan Gao#, and Jiayi Ma#. "Locality Preserving Refinement for Shape Matching with Functional Maps", in AAAI Conference on Artificial Intelligence (AAAI), 2024. (CCF A类会议)

[26] Xupeng Shi, Pengfei Zheng, A Adam Ding, Yuan Gao, and Weizhong Zhang. “Finding Dynamics Preserving Adversarial Winning Tickets”. in The 25th International Conference on Artificial Intelligence and Statistics (AISTATS), 2022.
[25] Moran Li*, Yuan Gao*, and Nong Sang. “Exploiting Learnable Joint Groups for Hand Pose Estimation”. in AAAI Conference on Artificial Intelligence (AAAI), 2021. (CCF A类会议)
[24] Yuan Gao, Haoping Bai, Zequn Jie, Jiayi Ma, Kui Jia, and Wei Liu. “MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning”. in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF A类会议)
[23] Wei Zeng, Mingbo Zhao, Yuan Gao, and Zhao Zhang. “TileGAN: Category-oriented Attention-based Highquality Tiled Clothes Generation from Dressed Person”. Neural Computing and Applications, 2020. (中科院二区,IF = 5.102)
[22] Yuan Gao, and Alan L. Yuille. “Estimation of 3D Category-Specific Object Structure: Symmetry, Manhattan and/or Multiple Images”. International Journal of Computer Vision (IJCV), 2019. (中科院一区,CCF A类期刊,IF = 13.369)
[21] Yuan Gao, Jiayi Ma, Mingbo Zhao, Wei Liu, and Alan L. Yuille. “NDDR-CNN: Layerwise Feature Sharing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction”. in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (CCF A类会议)
[20] Xiao Yang, Wenhan Luo, Linchao Bao, Yuan Gao, Dihong Gong, Shibao Zheng, Zhifeng Li, and Wei Liu. “Face Anti-Spoofing: Model Matters, So Does Data”. in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019. (CCF A类会议)
[19] Jiayi Ma, Xingyu Jiang, Junjun Jiang, Yuan Gao#. “Feature-guided Gaussian Mixture Model for Image Matching”. Pattern Recognition, 2019. (中科院一区,CCF B类期刊,IF = 8.518)
[18] Panpan Hou, Jingyi Shi, Kelli McFarland White, Yuan Gao, and Jianmin Cui. “ML277 specifically enhances the fully activated open state of KCNQ1 by modulating VSD-pore coupling”. eLife 8:e48576, 2019. (中科院一区,IF = 8.713
[17] Qi She, Yuan Gao, Kai Xu, and Rosa H.M. Chan. “Reduced-Rank Linear Dynamical System”. AAAI Conference on Artificial Intelligence (AAAI), 2018. (CCF A类会议)
[16] Yuan Gao, Jiayi Ma, and Alan L. Yuille. “Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples”. IEEE Transactions on Image Processing (IEEE TIP), vol.26, no.5, pp.1-16, 2017. (中科院一区,CCF A类期刊,IF = 11.041,ESI Highly Cited Paper)
[15] Yuan Gao, and Alan L. Yuille. “Exploiting Symmetry and/or Manhattan Properties for 3D Object Structure Estimation from Single and Multiple Images”. in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. (CCF A类会议)
[14] Panpan Hou, Jodene Eldstrom, Mark Zaydman, Jingyi Shi, Ling Zhong, Kelli McFarland, Yuan Gao, David Fedida, and Jianmin Cui. “The Transitions between Two Open States of the KCNQ1 Potassium Channel Produce Inactivation-like Phenotype”. Nature Communications, 2017. (中科院一区,IF = 12.353)
[13] Jiayi Ma, Ji Zhao, Hanqi Guo, Junjun Jiang, Huabing Zhou, and Yuan Gao. “Locality Preserving Matching”. International Joint Conference on Artificial Intelligence (IJCAI), 2017. (CCF A类会议)
[12] Yuan Gao, and Alan L. Yuille. “Symmetric Non-Rigid Structure from Motion for Category-Specific Object Structure Estimation”. in Proceedings of European Conference on Computer Vision (ECCV), 2016. (计算机视觉顶会)
[11] Yuan Gao, Gaonan Zhang, Beth Jelfs, Robert Carmer, Prahatha Venkatraman, Mohammad Ghadami, Skye A Brown, Chi Pui Pang, Yuk Fai Leung, Rosa H.M. Chan, and Mingzhi Zhang. “Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response”. Computers in Biology and Medicine, vol.69, pp.1–9, 2016. (中科院一区,IF = 6.698)
[10] Jiayi Ma, Junjun Jiang, Yuan Gao, Jun Chen, and Chengyin Liu, “Robust Image Matching Via Feature Guided Gaussian Mixture Model”. in Proceedings of IEEE International Conference on Multimedia and Expo (ICME), 2016. (CCF B类会议,Oral Presentation)
[9] Chang Li, Yong Ma, Yuan Gao, Zhongyuan Wang, Jiayi Ma, “Sparse Unmixing of Hyperspectral Data based on Robust Linear Mixing Model”. in Proceedings of IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016.
[8] Jiayi Ma, Huabing Zhou, Ji Zhao, Yuan Gao, Junjun Jiang, and Jinwen Tian, “Robust feature matching for remote sensing image registration via locally linear transforming”. in IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), vol.53, no.12, pp.6469-6481, 2015. (中科院一区,IF = 8.125,ESI Hot Paper & ESI Highly Cited Paper)
[7] Yimin Chen, Wu Qiu, Jessica Kishimoto, Yuan Gao, Rosa H.M. Chan, Sandrine de Ribaupierre, Aaron Fenster, and Bernard Chiu. “A framework for quantification and visualization of segmentation accuracy and variability in 3D lateral ventricle ultrasound images of preterm neonates”. Medical Physics 42(6387), 2015.
[6] Yuan Gao, Guanrong Chen, and Rosa H.M. Chan. “Naming Game on Networks: Let Everyone be Both Speaker and Hearer”. Scientific Reports 4: 6149, 2014.
[5] Yuan Gao, Rosa H.M. Chan, Tommy W.S. Chow, Liyun Zhang, Sylvia Bonilla, Chi-Pui Pang, Mingzhi Zhang, and Yuk Fai Leung. “A high-throughput zebrafish screening method for visual mutants by light-induced locomotor response”. IEEE/ACM Transactions on Computation Biology and Bioinformatics (TCBB) 11(4): 1192-1196, 2014.
[4] Yuan Gao, Jiayi Ma, Ji Zhao Jinwen Tian, and Dazhi Zhang. “A robust and outlier-adaptive method for non-rigid point registration”. Pattern Analysis and Applications 17(2): 379-388, 2014.
[3] Wenjuan Jiang, Yuan Gao, Jiayi Ma et al. “Terrain Reconstruction Algorithm Based on Epipolar Line Rectification and Dense Matching”. In Proc. of 7th SPIE Int. Conf. on Multi-spectral Image Processing and Pattern Recognition, 2011.
[2] Yi Yang, Yuan Gao, Haitao Li, Yanshun Han. “An Algorithm for Remote Sensing Image Mosaic Based on Valid Area”. In Proc. of Int. Symposium on Image and Data Fusion, 2011.
[1] Yuan Gao, Jiayi Ma, Wenjuan Jiang, Jinwen Tian. “Obstacle detection by ground homograph estimation during autonomous navigation”. In Proc. of 7th SPIE Int. Conf. on Multi-spectral Image Processing and Pattern Recognition, 2011.

授权专利情况

美国专利:

[3] Yuan Gao, Zhifeng Li, Wei Liu. AI-based Face Recognition Method And Apparatus, Device, And Medium. US202217685177.

[2] Yuan Gao, Xiangkai Lin, Linchao Bao, Wei Liu. Three-dimensional Object Reconstruction Method And Apparatus. US202117242415.

[1] Wenhan Luo, Linchao Bao, Yuan Gao, Wei Liu. Method And Apparatus For Generating Negative Sample Of Face Recognition, And Computer Device. US202017016162.


欧洲专利:

[2] Yuan Gao, Xiangkai Lin, Linchao Bao, Wei Liu. Three-dimensional Object Reconstruction Method And Apparatus. EP20778649.

[1] Wenhan Luo, Linchao Bao, Yuan Gao, Wei Liu. Method And Apparatus For Generating Negative Sample Of Face Recognition, And Computer Device. EP19845530.


WIPO专利:

[3] Yuan Gao, Zhifeng Li, Wei Liu. Artificial Intelligence-Based Face Recognition Method And Apparatus, Device, And Medium. WO2020CN124944.

[2] Yuan Gao, Xiangkai Lin, Linchao Bao, Wei Liu. Three-dimensional Object Reconstruction Method And Apparatus. WO2020CN124944.

[1] Wenhan Luo, Linchao Bao, Yuan Gao, Wei Liu. Method And Apparatus For Generating Negative Sample Of Face Recognition, And Computer Device. WO2019CN93273.


中国发明专利:

[7] 梅杰儒; 高源; 刘威. 神经网络的剪枝方法、装置、设备及存储介质. CN202010885640.0.

[6] 樊艳波; 吴保元; 张勇; 王浩; 龚迪洪; 高源; 黄浩智; 李志锋; 刘威. 基于人工智能的头部装饰处理方法及装置. CN202010695792.4.

[5] 高源; 李志锋; 刘威. 基于人工智能的人脸识别方法、装置、设备及介质. CN202010075684.7.

[4] 高源; 林祥凯; 暴林超; 刘威. 一种三维对象重建方法和装置. CN201910233202.3.

[3] 高源; 罗文寒; 暴林超; 刘威. 人脸活体验证方法及装置. CN201811455936.8.

[2] 罗文寒; 暴林超; 高源; 刘威. 生成人脸识别的负样本的方法、装置及计算机设备. CN201810869295.4.

[1] 骆清铭; 刘谦; 毕昆; 高源. CT图像重建的方法及系统. CN200810197535.7.


主要学术组织任职

长期作为以下权威期刊/会议的程序委员会成员/审稿人:
会议:
CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI, IJCAI, UAI, AISTATS等
期刊:
IJCV, IEEE TIP, IEEE TIFS, IEEE TNNLS, IEEE TFS, IEEE, TSMC-S, IEEE TCSVT, PR, Inf. Sci.等

荣誉获奖

  1. 深圳市海外高层次人才(孔雀计划)

  2. 小米青年学者

指导学生情况

For undergraduate students from WHU who are interested in doing Machine Learning and Computer Vision researches with me, welcome to drop me an email.

课题组与约翰霍普金斯大学的Alan Yuille教授(IEEE Fellow,Deeplab作者),以及腾讯、拼多多等国际知名学者与研究机构保持紧密合作,欢迎感兴趣的同学加入。

曾与我工作过的实习生:
梅杰儒(PhD student at Johns Hopkins University)
白昊平(Master student at CMU, now at Apple)
李默然(Master student at HUST, now at Tencent)
杨啸(Master student at SJTU, now PhD student at Tsinghua)

学院地址: 湖北省武汉市武昌区八一路299号 (430072)

Address:No.299 Bayi Road,Wuhan,Hubei(P.R.C.:430072)

联系电话 (Tel) :(+86)27-68756275/68778537

传真 (Fax) :(+86)27-68778537

网址 (Http) : Http://eis.whu.edu.cn

联系邮箱 (Email) : eisyb@whu.edu.cn

武汉大学电子信息学院

官方微信公众号


© Copyright 2023 武汉大学电子信息学院 版权所有 访问量:56682