Profile

I received my PhD in Computer Application Technology from Hunan University in 2007. Now I am an associated professor in the Department of Data Science and Engineering, School of Computer Science and Engineering, Central South University.

In terms of teaching, recently I have mainly taken specialized courses such as multimedia principle and system design and object-oriented programming (C++) for undergraduates majoring in computer science, and basic courses such as database application technology for undergraduates. I have posted some instructional videos on the Bilibili popular video website as a supplement to my classroom teaching, including analog Electronics Technology, which I taught before, and some recent courses (click here for details). I will update the videos from time to time. As for my teaching philosophy.

In terms of scientific research, Currently, there are mainly two directions. The first is to conduct research on computer vision-based detection and recognition methods for micro-expressions (subtle, involuntary facial expressions that occur within 0.5 seconds and are difficult to detect). The second is to utilize large language models and multimodal language models for information extraction and visual question-answering tasks. In the medium to long term, the goal is to integrate language models with vision methods to explore model generalization and knowledge transfer from the real image domain to abstract and artistically exaggerated domains (for example, being able to automatically generalize from understanding real human faces to cartoon or comic-style faces). In recent years, we have also actively engaged in interdisciplinary research in the medical field, exploring ways to apply intelligent technologies to diagnosis and care.

Selected Recent Papers:

[1]L. Wang, J. Peng, Y. Lao, P. Huang, and W. Cai, “Semi-supervised denoising for facial landmark detection in videos,” Neurocomputing, p. 132225, Nov. 2025, doi: 10.1016/j.neucom.2025.132225. 

[2]Y. Chen, C. Zhong, P. Huang, W. Cai, and L. Wang*, “Improving Micro-expression Recognition using Multi-sequence Driven Face Generation,” in ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2025, pp. 1–5. doi: 10.1109/ICASSP49660.2025.10888509. 

[3]Xiao, J., Han, Y., Wang, L., Li, Y., Wang, X., Li, S., Yi, J., Wu, Y., Liu, X., “PrysmNet a polyp refining system using salience and multimodal guidance for reproducible cross domain segmentation,” npj Digit. Med., vol. 9, no. 1, p. 158, Jan. 2026, doi: 10.1038/s41746-026-02345-7. 

[4]L. Wang, T. Cai, P. Huang, X. Liu, and W. Cai, “Two-Stage Facial Expression Spotting with Spectrum-Based Post-Processing,” in 2024 IEEE International Conference on Multimedia and Expo (ICME), Jul. 2024, pp. 1–6. doi: 10.1109/ICME57554.2024.10687531. 

[5]L. Wang, P. Huang, W. Cai, and X. Liu, “Micro-expression recognition by fusing action unit detection and Spatio-temporal features,” in ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2024, pp. 5595–5599. doi: 10.1109/ICASSP48485.2024.10446702.

[6] Pinyi Huang, Lei Wang*, Tianfu Cai, and Kehua Guo, “Micro-Expression Recognition with Layered Relations and More Input Frames,” in 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia: IEEE, Oct. 2023, pp. 2210–2214. doi: 10.1109/ICIP49359.2023.10222395.

[7] S. Tang, L. Zheng, Y. Luo, R. Wu, Q. Tian, and L. Wang, “Validation of an MRI Technique for the 6-DOF Knee Kinematics Measurement,” Front. Bioeng. Biotechnol., vol. 10, p. 904012, Sep. 2022, doi: 10.3389/fbioe.2022.904012.

[8] Wang L , Hou J , Guo X , et al. Micro-expression Video Clip Synthesis Method based on Spatial-temporal Statistical Model and Motion Intensity Evaluation Function[C]// IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS 2020. IEEE, 2020.

[9] L. Wang, H. Xiao, S. Luo, J. Zhang, and X. Liu, “A weighted feature extraction method based on temporal accumulation of optical flow for micro-expression recognition,” Signal Processing: Image Communication, vol. 78, pp. 246–253, Oct. 2019, doi: 10.1016/j.image.2019.07.011.

Selected Patents:

[1] Facial Feature extraction method of cartoon characters based on qualitative spatial relationship, Patent No. ZL201310574638.1

[2] Method for calibrating and quantifying bone motion and proximity parameters in CT images, Patent No. : ZL201710234682.6

[3] A method and a device for automatic reading of a pointer type instrument that is robust to illumination, Patent No. ZL201911239888.3