Biography
Received a Ph.D. degree in computer science from Institute of Computing Technology (ICT), Chinese Academy of Science (CAS), Beijing, in Jun. 2020, advised by professor Shiguang Shan. I was also fortunate to cooperate tightly with Jiabei Zeng during my four year phd candidate career.
Awarded as one of the outstanding doctoral dissertations in the China Society of Image and Graphics in 2021 (Total of 10 in China Mainland Per Year).
I focus on artifical intelligence, multimodal learning, generative modelling.
The ultimate goal of my research is to empower machines with emotion and reasoning intelligence.
Education
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Chinese Academy of Sciences,Beijing,China
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Sep.2016 – Jun.2020
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Ph.D. student, Computer Sciences
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Zhengzhou University
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Sep.2012 – Jul.2015
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M.S., Computer Software and Theory
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Zhengzhou University
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Sep.2008 – Jul.2012
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B.S., Computer Science
Selected Publications
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Learning Representations for Facial Actions from Unlabeled Videos
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Yong Li, Jiabei Zeng, Shiguang Shan
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IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2020.
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[PDF]
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Decoupled Multimodal Distilling for Emotion Recognition
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Yong Li, Yuanzhi Wang, Zhen Cui
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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2023 (Highlight).
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[PDF]
[Code]
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Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning
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Yuanzhi Wang, Zhen Cui#, Yong Li#
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Proceedings of the IEEE Conference on International Conference on Computer Vision(ICCV), 2023
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[Code]
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Contrastive Learning of Person-independent Representations for Facial Action Unit Detection
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Yong Li, Shiguang Shan
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IEEE Transactions on Image Processing (TIP), 2023.
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Graph Jigsaw Learning for Cartoon Face Recognition
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Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang
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IEEE Transactions on Image Processing (TIP), 2022.
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[PDF]
[Code]
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3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction
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Yong Li, Qiang Hao, Jianguo Hu, Xinmiao Pan, Zechao Li, Zhen Cui
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IEEE Transactions on Multimedia (TMM), 2022.
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[PDF]
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Learning Fair Face Representation With Progressive Cross Transformer
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Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang
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Arxiv 2021, under review.
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[PDF]
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Meta Auxiliary Learning for Facial Action Unit Detection
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Yong Li, Shiguang Shan
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IEEE Transactions on Affective Computing (TAC), 2021.
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[PDF]
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Self-supervised representation learning from videos for facial action unit detection
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Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen
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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR),2019 (Oral).
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[PDF]
[Code]
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Occlusion aware facial expression recognition using cnn with attention mechanism
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Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen
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IEEE Transactions on Image Processing 28 (5), 2439-2450 (TIP), 2020.
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[PDF]
[Code]
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Patch-gated cnn for occlusion-aware facial expression recognition
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Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen
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International Conference on Pattern Recognition (ICPR), 2018 (Oral).
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[PDF]
[Code]
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Kinnet: Fine-to-coarse deep metric learning for kinship verification
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Yong Li, Jiabei Zeng, Jie Zhang, Anbo Dai, Meina Kan, Shiguang Shan, Xilin Chen
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Proceedings of the 2017 Workshop on Recognizing Families In the Wild,13-20 (keynote).
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[PDF]
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Context-dependent emotion recognition
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Zili Wang, Lingjie Lao, Xiaoya Zhang, Yong Li*, Tong Zhang, Zhen Cui
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(Best poster in ChinaMM 2022).
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[PDF]
Experience
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Baidu Inc. , Beijing, China
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Software R&D Engineer, Jul. 2015 – Jul.2016
Honors
Winner of the ACM Multimedia 2017 kinship verification Challenge, California, USA
[Link]
Zhu Li Yue Hua Scholarship by UCAS in 2019
Zhu Li Yue Hua
Outstanding Graduate Student Scholarship by UCAS in 2020
Outstanding Doctoral Dissertation by China Society of Image and Graphics in 2021 (Total of 10 Per Year in China Mainland)
[Link]
Services
Reviewer of IJCV / TIP / TMM / TAC / Neurocomputing / PR / CVPR / BMVC / ICPR / ...