About Me

Howdy! My name is Yufeng Yang (杨钰峰 ,pronounced as u-feng iang). I’m a third year PhD student at CSE department, Texas A&M University, advised by Prof. Yi Zhou. I leverage foundational ML principles to address the computational and algorithmic challenges arising from large-scale machine learning.

(Open for Collaboration) If you believe our research interests align and want to collaborate with me. Feel free to drop me an email at ynyang94@tamu.edu or add me on WeChat: ynyang94 (please indicate your purpose when connecting).

I’m actively looking for AI research scientist/engineer position internship starting at 27/28 full and part-time intern. Here is my brief CV.

📄First-author Papers

• Provably efficient stochastic distributionally-robust multi-objective optimization
  Y. Yang, F. Zhuo, Z. Chen, H. Huang and Y. Zhou, submitted.
• Nested SGD for Sinkhorn distance-regularized Distributionally Robust Optimization [arXiv] [code] [short version] [poster]
  Y. Yang, Y. Zhou and Z. Lu, submitted to JMLR; short version accepted at OPT Workshop, NeurIPS 2024.
• Adaptive Gradient Normalization and Independent Sampling for (Stochastic) Generalized-Smooth Optimization [arXiv] [code] [slides]
  Y. Yang, E. Tripp, Y. Sun, S. Zou and Y. Zhou, TMLR.