LIAO Shuiying
PhD Graduate, 2025
Shuiying focuses on the Recommender Systems in Fashion.
Focus on research topic: Personalized Fashion Recommendations
- PhD
- 01/05/2022 - 30/04/2028
- Participated Projects
- Participated Publications
Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation
Liao, S., & Mok, P. Y.* (2024, December). Hypergraph-Enhanced Contrastively Regularized Transformer for Multi-Behavior E-commerce Product Recommendation. In 2024 IEEE International Conference on Data Mining (ICDM) (pp. 767-772). IEEE.
- 2024
Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility
Liao, S., Ding, Y., and Mok, P. Y.* (2023) Recommendation of Mix-and-Match Clothing by Modeling Indirect Personal Compatibility. In Proceedings of the 2023 ACM International Conference on Multimedia Retrieval (ACM ICMR 2023), pp. 560-564, 12 – 15 June 2023, Thessaloniki, Greece. (no. of citation=2)
- 2023