Yingjian Li

Yingjian Li

Pengcheng Laboratory

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.

🔥 News

  • 2026.05:  🎉🎉 One paper is accpeted by ICML-26.
  • 2026.03:  🎉🎉 One paper is accpeted by IEEE TCSVT.
  • 2026.01:  🎉🎉 One paper is accpeted by IEEE TNNLS.
  • 2025.12:  🎉🎉 One paper is accpeted by IPS.
  • 2025.11:  🎉🎉 One paper is accpeted by AAAI-26.
  • 2025.09:  🎉🎉 One paper is accpeted by IEEE TAFFC.
  • 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, 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. (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. (paper, code)
  • 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. (paper)
  • Y. Li, Y. Zeng, D. Jiang, Y. Wang and G. Lu, “Rethinking 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, “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. (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. (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 ‘21). Association for Computing Machinery, New York, NY, USA, 3312–3320.(paper, code)
  • Y. Zeng, H. Ren, Y. Cai, Y. Li, Y. Wang, and Q. Li, “Class-incremental cloud-device collaborative adaptation with contrastive learning in dynamic changing environments,” IEEE Transactions on Neural Networks and Learning Systems, vol. 37, no. 8, pp. 3970–3984, 2026. (paper, Corresponding author)
  • 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. (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. (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. (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 and Prof. Zheng Zhang.
  • Harbin Institute of Technology, MS, 2016-2018, supervised by Prof. Qiong Li.
  • Harbin Institute of Technology, BS, 2012-2016.

🌏 Visitors