Curriculum Vitae (CV)

PANG Kaicheng #

Email: pangkaicheng10@gmail.com
Research Area: Reinforcement Learning, Representation Learning, Fashion Modeling

Doctor of Philosophy (Ph.D.), Fashion and Textile Design (Personal Intelligent Stylist), The Hong Kong Polytechnic University, Hong Kong (2021.01 - 2024.01)
Master of Science (M.Sc.), Electrical Engineering, The Hong Kong Polytechnic University, Hong Kong (2016.09 - 2017.09)
Bachelor of Engineering (B.Eng.), Automation, Nanjing University of Aeronautics and Astronautics, China (2012.09 - 2016.06)

Postdoc Research Associate | Laboratory for Artificial Intelligence in Design (2024.02 - Present)
Algorithm Engineer | Baidu, Inc. (2018.09 - 2019.12)
Research Assistant | The Hong Kong Polytechnic University (2020.01 - 2020.12, 2017.9 - 2018.08)

Research Focus:
- Fashion Compatibility and Cognition Modeling
- Personal Stylist Agent
- Reinforcement Learning in Fashion Recommendation
Project Leadership: Core project lead for two significant initiatives:
- AiDA: AI-Based Interactive Design Assistant For Fashion.
- Mixi: Advanced fashion tagging and intelligent outfit recommendation systems.
- Successfully led a dedicated engineering team for development and implementation.
Project Participation:
- Intelligent fashion aesthetic evaluation system (RP 3-2) under InnoHK.
- Artificial Intelligence based fashion design assistant (RP 3-1) under InnoHK.
- Laboratory for Artificial Intelligence in Design (Project Code: Project 1.3) under InnoHK

Pang, Kaicheng, Xingxing Zou, and Waikeung Wong (2024). Learning visual body-shape-aware embeddings for fashion compatibility. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 8056-8065).
Kaicheng Pang, Xingxing Zou, Fangjian Liao, and Waikeung Wong. M-vton: Multi-layer Virtual Try-on System. Design and Semantics of Form and Movement, 266, 2023
Kaicheng Pang, Xingxing Zou, and Waikeung Wong. Dress well via fashion cognitive learning. In 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, page 251. BMVA Press, 2022
Kaicheng Pang, Xingxing Zou, and Waikeung Wong. Modeling fashion compatibility with explanation by using bidirectional lstm. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pages 3894–3898, June 2021
Xingxing Zou, Kaicheng Pang, Wen Zhang, and Waikeung Wong. How good is aesthetic ability of a fashion model? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 21200–21209, 2022

Pang, Kaicheng, Zou, Xingxing, Broach, Zowie, and Wong, Waikeung. Towards Intelligent Online Cross-selling. Expert Systems with Applications. 298. 129686. 10.1016/j.eswa.2025.129686, 2025.
Dongmei Mo, Xingxing Zou, Kaicheng Pang, and Wai Keung Wong. Towards private stylists via personalized compatibility learning. Expert Systems with Applications, 219:119632, 2023.