Research output per year
Research output per year
Personal profile
Author IDs
ORCID iD: 0000-0002-3605-3505
Scopus Author ID: 57219684709
Google Scholar Profile: MJ7X-bAAAAAJ
Impact
Biography
Ziye Ma holds a B.A.Sc in Engineering Science from the University of Toronto and Ph.D from the University of California, Berkeley. His areas of focus include machine learning, mathematical optimization, and statistics.
Research Interests/Areas
Machine Learning; AI Theory; Optimization
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Collaborations from the last five years
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Research output
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Topology-Aware 3D Gaussian Splatting: Leveraging Persistent Homology for Optimized Structural Integrity
Shen, T., Liu, S., Feng, J., Ma, Z. & An, N., 11 Apr 2025, Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence. Walsh, T., Shah, J. & Kolter, Z. (eds.). 7 ed. Washington, DC, USA: AAAI Press, Vol. 39. p. 6823-6832 10 p.Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access -
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Anderson, B., Ma, Z., Li, J. & Sojoudi, S., May 2025, In: Journal of Machine Learning Research. 26, 81Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile23 Downloads (CityUHK Scholars) -
Absence of spurious solutions far from ground truth: A low-rank analysis with high-order losses
Ma, Z., Chen, Y., Lavaei, J. & Sojoudi, S., May 2024, Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS) 2024. Dasgupta, S., Mandt, S. & Li, Y. (eds.). p. 1603-1611 (Proceedings of Machine Learning Research; vol. 238).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Algorithmic Regularization in Tensor Optimization: Towards a Lifted Approach in Matrix Sensing
Ma, Z., Lavaei, J. & Sojoudi, S., Dec 2023, Advances in Neural Information Processing Systems 36 (NeurIPS 2023). 12 p. (Advances in Neural Information Processing Systems; vol. 36).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
1 Citation (Scopus) -
Noisy Low-rank Matrix Optimization: Geometry of Local Minima and Convergence Rate
Ma, Z. & Sojoudi, S., 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.). p. 3125-3150 (Proceedings of Machine Learning Research; vol. 206).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Open Access4 Citations (Scopus)
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ECS: Demystifying and Improving Large Model Training under Uncertainty via Optimization Theory
MA, Z. (Principal Investigator / Project Coordinator)
1/09/25 → …
Project: Research
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NSFC-YPC-HK: New Mathematical Framework for Reliable Over-parametrized Models and Robust Training Techniques
MA, Z. (Principal Investigator / Project Coordinator)
1/01/26 → …
Project: Research