Home > Staffs 2025 > Former members > DING Yujuan
Home > Staffs 2025 > Former members > DING Yujuan
DING Yujuan
Research personnel
Yujuan worked on research projects relevant to fashion outfit composition and recommedation
Publications
Personalized fashion outfit generation with user coordination preference learning
Ding, Y., Mok, P. Y.*, Ma, Y., and Bin, Y. (2023). Personalized fashion outfit generation with user coordination preference learning. Information Processing & Management, (Journal Impact Factor 8.6, Q1 11/158 in the category of ‘computer science, information systems’), 60(5), 103434.
- Journal
Computational Technologies for Fashion Recommendation: A Survey
Ding, Y., Lai, Z., Mok, P. Y., and Chua, T. S. (2023). Computational Technologies for Fashion Recommendation: A Survey, ACM Computing Surveys, (Journal Impact Factor: 16.6, Q1, 3/111 in the category of ‘computer science, theory and methods’) Vol. 56, Iss 5, Article No.: 121, pp 1–45.
- Journal
Modeling Multi-Relational Connectivity for Personalized Fashion Matching
Yujuan Ding, Mok, P. Y.*, Yi Bin, Xun Yang, Zhiyong Cheng (2023). Modeling Multi-Relational Connectivity for Personalized Fashion Matching, the 31st ACM International Conference on Multimedia (ACM MM2023), pp. 7047-7055, October 29 – November 3 2023, Ottawa, Canada.
- Top conference
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)
- Top conference
Modeling Field-Level Factor Interactions for Fashion Recommendation
Yujuan DING, Mok, P. Y.*, Xun Yang, and Yanghong Zhou (2022). Modeling Field-Level Factor Interactions for Fashion Recommendation, IEEE International Conference on Multimedia and Expo (ICME 2022), pp 1-6, July 18-22 2022, Taipei, Taiwan. (no. of citation = 4)
- Top conference