代表性论文

Instance-Consistent Fair Face Recognition

Yong Li, Yufei Sun, Zhen Cui, Pengcheng Shen, Shiguang Shan

IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), (2025).

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Learning Representations for Facial Actions from Unlabeled Videos

Yong Li, Jiabei Zeng, Shiguang Shan

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), (2022).

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Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection

Yong Li, Menglin Liu, Zhen Cui, Yi Ding, Yuan Zong, Wenming Zheng, Shiguang Shan, Cuntai Guan

IEEE Transactions on Image Processing (TIP), (2025).

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Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection

Yong Li, Yi Ren, Xuesong Niu, Yi Ding, Xiu-Shen Wei, Cuntai Guan

IEEE Transactions on Affective Computing (TAC), (2025).

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Learning Attribute-Aware Hash Codes for Fine-Grained Image Retrieval via Query Optimization

Peng Wang, Yong Li, Lin Zhao, Xiu-Shen Wei

International Conference on Machine Learning (ICML), (2025).

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EEG-Deformer: A Dense Convolutional Transformer for Brain-computer Interfaces

Yi Ding#, Yong Li#, Hao Sun, Rui Liu, Chengxuan Tong, Chenyu Liu, Xinliang Zhou, Cuntai Guan

IEEE Journal of Biomedical and Health Informatics (J-BHI), (2024).

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Collaborative Contrastive Learning for Cross-Domain Gaze Estimation

Lifan Xia, Yong Li*, Xin Cai, Zhen Cui, Chunyan Xu, Antoni B. Chan

Pattern Recognition (PR), (2024).

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Decoupled Multimodal Distilling for Emotion Recognition

Yong Li, Yuanzhi Wang, Zhen Cui

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2023) (Highlight).

[PDF] [Code]

Incomplete multimodality-diffused emotion recognition

Yuanzhi Wang, Yong Li*, Zhen Cui*

Neural Information Processing Systems (NeurIPS), (2023).

[PDF] [Code]

Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning

Yuanzhi Wang, Zhen Cui*, Yong Li*

Proceedings of the IEEE Conference on International Conference on Computer Vision (ICCV), (2023).

[PDF] [Code]

Contrastive Learning of Person-independent Representations for Facial Action Unit Detection

Yong Li, Shiguang Shan

IEEE Transactions on Image Processing (TIP), (2023).

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Graph Jigsaw Learning for Cartoon Face Recognition

Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang

IEEE Transactions on Image Processing (TIP), (2023).

[PDF] [Code]

3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction

Yong Li, Qiang Hao, Jianguo Hu, Xinmiao Pan, Zechao Li, Zhen Cui

IEEE Transactions on Multimedia (TMM), (2022).

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Meta Auxiliary Learning for Facial Action Unit Detection

Yong Li, Shiguang Shan

IEEE Transactions on Affective Computing (TAC), (2021).

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Self-supervised representation learning from videos for facial action unit detection

Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR), (2019) (Oral).

[PDF] [Code]

Occlusion aware facial expression recognition using cnn with attention mechanism

Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen

IEEE Transactions on Image Processing 28 (5), 2439-2450 (TIP), (2020).

[PDF] [Code]

Patch-gated cnn for occlusion-aware facial expression recognition

Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen

International Conference on Pattern Recognition (ICPR), (2018) (Oral).

[PDF] [Code]

Kinnet: Fine-to-coarse deep metric learning for kinship verification

Yong Li, Jiabei Zeng, Jie Zhang, Anbo Dai, Meina Kan, Shiguang Shan, Xilin Chen

Proceedings of the 2017 Workshop on Recognizing Families In the Wild,13-20, (2017) (keynote).

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Context-dependent emotion recognition

Zili Wang, Lingjie Lao, Xiaoya Zhang, Yong Li*, Tong Zhang, Zhen Cui

(Best poster in ChinaMM (2022)).

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