Additional Campus Affiliations
Professor, Siebel School of Computing and Data Science
Professor, Statistics
Recent Publications
Ye, H., Xiong, W., & Zhang, T. (2026). PMGT-VR: A Decentralized Proximal-Gradient Algorithmic Framework With Variance Reduction. IEEE transactions on pattern analysis and machine intelligence, 48(1), 408-420. https://doi.org/10.1109/TPAMI.2025.3606874
Hao, Y., Pan, X., Zhang, H., Ye, C., Pan, R., & Zhang, T. (2025). Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods. Proceedings of Machine Learning Research, 267, 22116-22148.
Liu, Y., Pan, R., & Zhang, T. (2025). ADAGRAD UNDER ANISOTROPIC SMOOTHNESS. In 13th International Conference on Learning Representations, ICLR 2025 (pp. 7676-7710). (13th International Conference on Learning Representations, ICLR 2025). International Conference on Learning Representations, ICLR.
Pan, R., Zhang, D., Zhang, H., Pan, X., Xu, M., Zhang, J., Pi, R., Wang, X., & Zhang, T. (2025). ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), Long Papers (pp. 31959-31982). (Proceedings of the Annual Meeting of the Association for Computational Linguistics; Vol. 1). Association for Computational Linguistics (ACL).
Pi, R., Zhang, J., Han, T., Zhang, J., Pan, R., & Zhang, T. (2025). PERSONALIZED VISUAL INSTRUCTION TUNING. In 13th International Conference on Learning Representations, ICLR 2025 (pp. 76659-76678). (13th International Conference on Learning Representations, ICLR 2025). International Conference on Learning Representations, ICLR.