Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0009-0004-6304-0138
Scopus Author ID: 57545895800
Google Scholar Profile: h5yGjHAAAAAJ
Impact
Biography
Yiling Xie is a tenure-track assistant professor in the Department of Decision Analytics and Operations, College of Business, City University of Hong Kong. Her research focuses on the statistical and computational foundations of machine learning and artificial intelligence.
I am always looking for self-motivated students with a strong background in mathematics. If you are interested in working with me, please email me your CV and transcripts.
Research Interests/Areas
- Statistics
- Optimization
- Learning theory
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Collaborations from the last five years
Recent external collaboration based on locations. Dive into details by clicking on the dots or
Research output
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Asymptotic Behavior of Adversarial Training Estimator under ℓ∞-Perturbation
Xie, Y. & Huo, X., 2025, In: Journal of the American Statistical Association. 120, 552, p. 2672-2683 12 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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High-dimensional (Group) Adversarial Training in Linear Regression
Xie, Y. & Huo, X., 5 Jun 2025, NIPS '24: Proceedings of the 38th International Conference on Neural Information Processing Systems. Globerson, A., Mackey, L. & Belgrave, D. (eds.). Curran Associates Inc., p. 31708-31735 (Advances in Neural Information Processing Systems; vol. 37).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
Xie, Y. & Huo, X., 2024, In: Journal of Machine Learning Research. 25, 148.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile37 Downloads (CityUHK Scholars) -
Improved Rate of First Order Algorithms for Entropic Optimal Transport
Luo, Y., Xie, Y. & Huo, X., Apr 2023, Proceedings of The 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023. Ruiz, F., Dy, J. & van de Meent, J.-W. (eds.). Vol. 206. p. 2723-2750 (Proceedings of Machine Learning Research).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access6 Link opens in a new tab Citations (Scopus) -
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
Xie, Y., Luo, Y. & Huo, X., Mar 2023, In: Transactions on Machine Learning Research. 02/2023, 27 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open Access1 Link opens in a new tab Citation (Scopus)
Projects
- 2 Not started
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ECS: Statistical Properties of Adversarial Training in the Reproducing Kernel Hilbert Space
XIE, Y. (Principal Investigator / Project Coordinator)
1/10/26 → …
Project: Research
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MF_RGC: Statistical Properties of Adversarial Training in the Reproducing Kernel Hilbert Space
XIE, Y. (Principal Investigator / Project Coordinator)
1/10/26 → …
Project: Research