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 Research Fellow at Institute of Perceptual Intelligence, Pengcheng Laboratory, Shenzhen, China. His research interests include Model Adaptation and Generalization, Edge-Cloud Collaborative Learning, and Efficient Deep Learning. He has published more than 30 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 TIP and a member of the program committee of top conferences such as CVPR.

πŸ”₯ News

  • 2026.05: Β πŸŽ‰πŸŽ‰ One paper is accpeted by ICML-26.
  • 2026.03: Β πŸŽ‰πŸŽ‰ One paper is accpeted by IEEE TCSVT.
  • 2026.01: Β πŸŽ‰πŸŽ‰ One paper is accpeted by IEEE TNNLS.
  • 2025.12: Β πŸŽ‰πŸŽ‰ One paper is accpeted by IPS.
  • 2025.11: Β πŸŽ‰πŸŽ‰ One paper is accpeted by AAAI-26.
  • 2025.09: Β πŸŽ‰πŸŽ‰ One paper is accpeted by IEEE TAFFC.
  • 2024.10: Β πŸŽ‰πŸŽ‰ One paper is published on IEEE TIM.
  • 2024.05: Β πŸŽ‰πŸŽ‰ One paper is published on IEEE TCSVT.
  • 2024.02: Β πŸŽ‰πŸŽ‰ One paper is published on IEEE TCSVT.
  • 2023.09: Β πŸŽ‰πŸŽ‰ One paper is published on IEEE TIP.
  • 2023.04: Β πŸŽ‰πŸŽ‰ I have joined PCL as a postdoc.

πŸ“ Publications

Full publication list is here.

  • Y. Li, J. Huang, S. Lu, Z. Zhang and G. Lu, β€œCross-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. (paper)
  • Y. Li, Z. Zhang, B. Chen, G. Lu and D. Zhang, β€œDeep Margin-Sensitive Representation Learning for Cross-Domain Facial Expression Recognition,” in IEEE Transactions on Multimedia, vol. 25, pp. 1359-1373, 2023. (paper, code)
  • Y. Li, G. Lu, J. Li, Z. Zhang and D. Zhang, β€œFacial 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. (paper)
  • Y. Li, Y. Zeng, D. Jiang, Y. Wang and G. Lu, β€œRethinking the Knowledge Gap between Cloud and Device Models for Effective Co-Adaptation,” in IEEE Transactions on Circuits and Systems for Video Technology, 2026. (paper)
  • Y. Li, Y. Gao, B. Chen, Z. Zhang, G. Lu and D. Zhang, β€œSelf-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. (paper)
  • Y. Li, Y. Lu, B. Chen, Z. Zhang, J. Li, G. Lu, and D. Zhang, β€œLearning 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. (paper)
  • 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 β€˜21). Association for Computing Machinery, New York, NY, USA, 3312–3320.(paper, code)
  • Y. Dai, Y. Li, D. Chen, J. Li and G. Lu, β€œMultimodal 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. (paper, Corresponding author)
  • H. Lin, Y. Li, Z. Zhang, L. Zhu and Y. Xu, β€œLearning 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. (paper, Co-first author)
  • D. Li, Y. Li, X. Ma, J. Li and G. Lu, β€œTriple-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. (paper, Co-first author)

πŸŽ– Honors

  • Outstanding Doctoral Dissertation Award, SZCCF, 2024.

πŸ“– 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 and Prof. Zheng Zhang.
  • Harbin Institute of Technology, MS, 2016-2018, supervised by Prof. Qiong Li.
  • Harbin Institute of Technology, BS, 2012-2016.

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