Additional Campus Affiliations
Professor, Siebel School of Computing and Data Science
Professor, Statistics
Recent Publications
Chen, S., Ma, S., So, A. M. C., & Zhang, T. (2024). Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants. SIAM Review, 66(2), 319-352. https://doi.org/10.1137/24M1628578
Diao, S., Pan, R., Dong, H., Shum, K. S., Zhang, J., Xiong, W., & Zhang, T. (2024). LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. 116-127. Paper presented at 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024, Hybrid, Mexico City, Mexico.
Huang, X., Dong, H., Hao, Y., Ma, Y. A., & Zhang, T. (2024). REVERSE DIFFUSION MONTE CARLO. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.
Lin, Y., Tan, L., Hao, Y., Wong, H. N., Dong, H., Zhang, W., Yang, Y., & Zhang, T. (2024). SPURIOUS FEATURE DIVERSIFICATION IMPROVES OUT-OF-DISTRIBUTION GENERALIZATION. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.
Pan, R., Liu, Y., Wang, X., & Zhang, T. (2024). ACCELERATED CONVERGENCE OF STOCHASTIC HEAVY BALL METHOD UNDER ANISOTROPIC GRADIENT NOISE. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.