Yingjian Li received the B.Sc., M.Sc., and Ph.D. degrees from Harbin Institute of Technology, China, in 2016, 2018, and 2023, respectively. Now he is an Assistant Professor at Institute of Perceptual Intelligence, Pengcheng Laboratory, Shenzhen, China. His research interests include incremental learning, domain adaptation, and cloud-device collaborative learning. He has published more than 20 journal (IEEE TIP, TMM, TAFFC, TCSVT, etc.) and conference (ACM-MM) papers. He has won the Outstanding Doctoral Dissertation Award of SZCCF, and served as a reviewer for journals such as IEEE TNNLS and a member of the program committee of top conferences such as CVPR.

🔥 News

2024.10: 🎉🎉 One paper is published on IEEE TIM.
2024.05: 🎉🎉 One paper is published on IEEE TCSVT.
2024.02: 🎉🎉 One paper is published on IEEE TCSVT.
2023.09: 🎉🎉 One paper is published on IEEE TIP.
2023.04: 🎉🎉 I have joined PCL as a postdoc.

📝 Publications

Full publication list is here.

Y. Li, Y. Gao, B. Chen, Z. Zhang, L. Zhu, and G. Lu. 2021. JDMAN: Joint Discriminative and Mutual Adaptation Networks for Cross-Domain Facial Expression Recognition. In Proceedings of the 29th ACM International Conference on Multimedia (MM ‘21). Association for Computing Machinery, New York, NY, USA, 3312–3320. doi: 10.1145/3474085.3475484.(paper)
Y. Li, J. Huang, S. Lu, Z. Zhang and G. Lu, “Cross-Domain Facial Expression Recognition via Contrastive Warm up and Complexity-Aware Self-Training,” in IEEE Transactions on Image Processing, vol. 32, pp. 5438-5450, 2023, doi: 10.1109/TIP.2023.3318955. (paper)
Y. Li, G. Lu, J. Li, Z. Zhang and D. Zhang, “Facial Expression Recognition in the Wild Using Multi-Level Features and Attention Mechanisms,” in IEEE Transactions on Affective Computing, vol. 14, no. 1, pp. 451-462, 1 Jan.-March 2023, doi: 10.1109/TAFFC.2020.3031602. (paper)
Y. Li, Z. Zhang, B. Chen, G. Lu and D. Zhang, “Deep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition,” in IEEE Transactions on Multimedia, vol. 25, pp. 1359-1373, 2023, doi: 10.1109/TMM.2022.3141604. (paper)
Y. Li, Y. Gao, B. Chen, Z. Zhang, G. Lu and D. Zhang, “Self-Supervised Exclusive-Inclusive Interactive Learning for Multi-Label Facial Expression Recognition in the Wild,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 3190-3202, May 2022, doi: 10.1109/TCSVT.2021.3103782. (paper)
Y. Li, Y. Lu, B. Chen, Z. Zhang, J. Li, G. Lu, and D. Zhang, “Learning Informative and Discriminative Features for Facial Expression Recognition in the Wild,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 5, pp. 3178-3189, May 2022, doi: 10.1109/TCSVT.2021.3103760. (paper)
Y. Dai, Y. Li, D. Chen, J. Li and G. Lu, “Multimodal Decoupled Distillation Graph Neural Network for Emotion Recognition in Conversation,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 10, pp. 9910-9924, Oct. 2024, doi: 10.1109/TCSVT.2024.3405406. (paper, Corresponding author)
H. Lin, Y. Li, Z. Zhang, L. Zhu and Y. Xu, “Learning With Noisy Labels by Semantic and Feature Space Collaboration,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 34, no. 8, pp. 7190-7201, Aug. 2024, doi: 10.1109/TCSVT.2024.3371513. (paper, Co-first author)
D. Li, Y. Li, X. Ma, J. Li and G. Lu, “Triple-Stream Siamese Segmentation Network for Printed Label Defect Detection,” in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-15, 2025, Art no. 2502715, doi: 10.1109/TIM.2024.3472770. (paper, Co-first author)

🎖 Honors

Outstanding Doctoral Dissertation Award, SZCCF, 2024.

📖 Educations

Nanyang Technological University, Visiting PhD student, 2021-2022, supervised by Prof. Shijian Lu.
Harbin Institute of Technology, PhD, 2018-2023, supervised by Prof. Guangming Lu.
Harbin Institute of Technology, MS, 2016-2018, supervised by Prof. Qiong Li.
Harbin Institute of Technology, BS, 2012-2016.