Welcome to contact us!

DING Yujuan

Research personnel

Yujuan worked on research projects relevant to fashion outfit composition and recommedation

It seems we can’t find what you’re looking for.

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.

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.

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.

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)

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)