Projects per year
Personal profile
Chinese Name
徐亦达
Biography
Richard Yi Da Xu is currently a Full Professor in the Department of Mathematics at Hong Kong Baptist University (HKBU). His research fields are Machine Learning and Artificial Intelligence, and his recent research interests include Bayeisan Nonparametric and (machine) Learning Theory. Richard has published papers at many top international conferences, including ICLR, AAAI, IJCAI, ECAI, ECCV, AI-STATS and ICDM, and many top IEEE Transactions: IEEE-(TNNLS, TIP, TSP, TKDE, MC and T-Cybernetics). Since 2009, he has created more than 2,000 slides of free machine learning online doctoral training materials and online machine learning videos. During his employment in Australia, his team has collaborated with many Australian industries in finance, e-commerce, government, transport, utilities, defence, agricultural, communication and legal sectors. He established a Deep Learning Sydney meetup which has 4700+ members, one of the largest of its kind in Australia. He was representing Australia to attend ISO JTC1 SC42 (Artificial Intelligence)’s first plenary.
Research Interests
Learning Theory, Bayesian Nonparametrics, Machine Learning applications
Education/Academic qualification
PhD, Computer Sciences, University of Technology Sydney
1 Feb 2002 → 31 Dec 2005
Award Date: 10 May 2006
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Dive into the research topics where Yi Da XU is active. Topic labels come from the works of this scholar.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Nonlinear Eigen-Approach for Optimization on Stiefel Manifolds Arising from Machine Learning
XU, Y. D. (PI)
1/07/22 → 30/06/25
Project: Research project
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A decision support system in precision medicine: Contrastive multimodal learning for patient stratification
Yin, Q., Zhong, L., Song, Y., Bai, L., Wang, Z., Chen, L., Xu, Y. & Yang, X., May 2025, In: Annals of Operations Research. 348, 1, p. 579-607 29 p., 104390.Research output: Contribution to journal › Journal article › peer-review
Open Access1 Citation (Scopus) -
KERMIT: Knowledge graph completion of enhanced relation modeling with inverse transformation
Li, H., Yu, B., Wei, Y., Wang, K., Xu, R. Y. D. & Wang, B., 3 Aug 2025, In: Knowledge-Based Systems. 324, 14 p., 113500.Research output: Contribution to journal › Journal article › peer-review
3 Citations (Scopus) -
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
Niu, S., Ma, J., Lin, H., Bai, L., Wang, Z., Xu, R. Y. D., Song, Y. & Yang, X., 27 Jul 2025, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics. Che, W., Nabende, J., Shutova, E. & Pilehvar, M. T. (eds.). Vienna: Association for Computational Linguistics (ACL), Vol. 1. p. 11011–11024 14 p. (Proceedings of Annual Meeting of the Association for Computational Linguistics).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series
Niu, S., Ma, J., Lin, H., Bai, L., Wang, Z., Bi, W., Xu, R. Y. D., Li, G. & Yang, X., 27 Jul 2025, Findings of the Association for Computational Linguistics: ACL 2025. Che, W., Nabende, J., Shutova, E. & Taher Pilehvar, M. (eds.). Vienna: Association for Computational Linguistics (ACL), p. 5915–5928 14 p. (Findings of the Association for Computational Linguistics).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review
Open Access -
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Li, M., Guo, J., Xu, R. Y. D., Wang, D., Cao, X., Rao, Z. & Guo, S., 16 Aug 2025, Proceedings of the 34th International Joint Conference on Artificial Intelligence, IJCAI 2025. Kwok, J. (ed.). International Joint Conferences on Artificial Intelligence, p. 5607-5615 9 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review