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., Wang, P., Lin, Y., Pan, R., Liu, X., & Zhang, T. (2024). Active Prompting with Chain-of-Thought for Large Language Models. In L.-W. Ku, A. F. T. Martins, & V. Srikumar (Eds.), Long Papers (pp. 1330-1350). (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2024.acl-long.73
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.
Fan, J., Fang, C., Gu, Y., & Zhang, T. (2024). ENVIRONMENT INVARIANT LINEAR LEAST SQUARES. Annals of Statistics, 52(5), 2268-2292. https://doi.org/10.1214/24-AOS2435
Huang, X., Zou, D., Dong, H., Ma, Y. A., & Zhang, T. (2024). Faster Sampling via Stochastic Gradient Proximal Sampler. Proceedings of Machine Learning Research, 235, 20559-20596.