现任东南大学副教授,隶属于PALM 实验室。
2020年6月于中国科学院(CAS)计算技术研究所(ICT)获得计算机科学博士学位。
2021年,博士论文 《开放场景中面部表情分析方法研究》入选中国图像图形学学会优秀博士学位论文(全国10篇)。
2022年至2024年,先后于香港城市大学、新加坡南洋理工大学留学和工作。
人工智能,多模态理解,以人为中心的情感计算与分析
致力于为学生提供全方位的科研指导,培养其独立思考和创新能力,助力高质量学术成果的产出,同时注重综合素质的塑造,确保学生在毕业后能够获得良好的职业发展
与中国科学院计算技术研究所、新加坡南洋理工大学、香港城市大学、腾讯优图、华为等国内外知名研究机构保持紧密合作,可为学生提供优质的实习与就业推荐机会,助力未来发展
2016.09-2020.06,中国科学院计算技术研究所,博士
香港城市大学, 中国, 香港
博士后研究员, 2022年 - 2023年
南洋理工大学, 新加坡
研究员, 2023年 - 2024年
百度, 中国 , 北京
软件研发工程师, 2015年 – 2016年
基于人工智能技术的老年痴呆患者辅助护理效果评估,香港地区大学教育资助委员会资助课题,AI方向核心参与,项目简介
Effective Emotion Recognition from Neurophysiological Signals,新加坡教育部Tier-2资助项目,核心参与
部分代表性论文如下:
Yong Li, Yufei Sun, Zhen Cui, Pengcheng Shen, Shiguang Shan. Instance-Consistent Fair Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Yong Li, Jiabei Zeng, Shiguang Shan, Learning Representations for Facial Actions from Unlabeled Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yong Li, Liu Menglin, Cui Zhen, Ding Yi, Zong Yuan, Zheng Wenming, Shan Shiguang, Guan Cuntai, Decoupled Doubly Contrastive Learning for Cross Domain Facial Action Unit Detection, IEEE Transactions on Image Processing (TIP), 2025
Yong Li, Yi Ren, Xuesong Niu, Yi Ding, Xiu-Shen Wei, Cuntai Guan, Beyond Overfitting: Doubly Adaptive Dropout for Generalizable AU Detection, IEEE Transactions on Affective Computing (TAC), 2025
Yong Li, Yuanzhi Wang, Zhen Cui, Decoupled Multimodal Distilling for Emotion Recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (Highlight,录用率:2.5%)
Lifan Xia, Yong Li*, Xin Cai, Zhen Cui, Chunyan Xu, Antoni B. Chan, Collaborative Contrastive Learning for Cross-Domain Gaze Estimation, Pattern Recognition (PR), 2024
Yuanzhi Wang, Yong Li*, Zhen Cui*, Incomplete multimodality-diffused emotion recognition, Neural Information Processing Systems (NeurIPS), 2023
Yuanzhi Wang, Zhen Cui*, Yong Li*, Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning, Proceedings of the IEEE Conference on International Conference on Computer Vision (ICCV), 2023
Yong Li, Shiguang Shan, Contrastive Learning of Person-independent Representations for Facial Action Unit Detection, IEEE Transactions on Image Processing (TIP), 2023
Yong Li, Lingjie Lao, Zhen Cui, Shiguang Shan, Jian Yang, Graph Jigsaw Learning for Cartoon Face Recognition, IEEE Transactions on Image Processing (TIP), 2022
Yong Li, Shiguang Shan, Meta Auxiliary Learning for Facial Action Unit Detection, IEEE Transactions on Affective Computing (TAC), 2021
Yong Li, Qiang Hao, Jianguo Hu, Xinmiao Pan, Zechao Li, Zhen Cui, 3D3M: 3D Modulated Morphable Model for Monocular Face Reconstruction, IEEE Transactions on Multimedia (TMM), 2022
Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen, Occlusion aware facial expression recognition using cnn with attention mechanism, IEEE Transactions on Image Processing (TIP), 2019, ESI高被引
Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen, Self-supervised representation learning from videos for facial action unit detection, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Oral
李勇,“一种基于双重对比学习的跨域人脸面部运动单元检测方法”, ZL202311142081.4,2024.06.25
李勇,“一种基于特征解耦和图知识蒸馏的多模态情感识别方法”, ZL202310096857.7,2023.08.11
廖继平,李勇,曾加贝,张杰,阚美娜,山世光,“亲属识别网络模型的训练方法及装置”, ZL201711479738.0,2021.08.20