Yang Hu (胡扬)
G1 CS PhD student
SEAS, Harvard University

I am a first-year PhD student in Computer Science at Harvard University, affiliated to the John. A. Paulson School of Engineering and Applied Sciences (SEAS). I am fortunate to be co-advised by Prof. Na Li and Prof. Sham Kakade. I am also a member of the Harvard Machine Learning Foundations Group.

I am broadly interested in the theoretical foundations of intelligent systems and decision making, with the ultimate goal of obtaining a better understanding of collective intelligence in complex systems. More specifically, I am devoted to designing efficient algorithms that enables learning-based strategic moves in large-scale multi-agent systems equipped with various dynamics structures, and developing theory that reveals the fundamental limit of online decision-making algorithms. My current research focuses on multi-agent systems, which lies in the intersection of game theory, online control, reinforcement learning and machine learning, and is thus interdisciplinary by nature.

My CV can be downloaded here (last update: Mar. 2023).

Recent updates

  • Feb. 2023: I am invited to serve as the reviewer of the 5th L4DC conference.
  • Oct. 2022: Our papers "Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity" (download here) and "On the Sample Complexity of Stabilizing LTI Systems" (download here) have been accepted by NeurIPS'22 as Posters!
  • Aug. 2022: I am excited to join Harvard for my PhD studies. See you in Boston this fall!


Email:huyangshcn [at] gmail [dot] com (personal),
yanghu [at] g [dot] harvard [dot] edu (academic).
Office:SEC building, 150 Western Ave, Allston, MA 02134.