PhD student (2024-present)
MIT
77 Massachusetts Ave, Cambridge, MA 02139
2026-02-23 Invited to give a talk at the Learning from Heterogeneous Sources workshop at the Simons Institute for the Theory of Computing.
2026-01-26 Our paper enabling collaboration between arbitrarily heterogeneous agents for fully personalized solutions with adaptive affinity-based speedup is accepted to ICLR 2026.
2025-11-05 Invited to present at the inaugural Jump Trading's AI Research Symposium.
2025-04-25 Our paper unifying iteration and operation complexity analysis of Riemannian trust region and general-order adaptive regularization methods (and more!) is published in COAP.
2025-01-22 Our paper proposing learning mean field games with a simple SGD and population-aware function approximation is accepted to ICLR 2025.
2024-05-01 Our paper developing a new formulation and a learning method for discontinuous graphon games is accepted to ICML 2024.
2024-04-15
My PhD application journey has concluded. A heartfelt thank you to everyone who supported me!
I am excited to join MIT LIDS & IDSS in Fall 2024.
2024-01-16 Our paper on federated reinforcement learning with heterogeneous agents is accepted to ICLR 2024.
I help machines efficiently learn how to make decisions.
My long-term research goal is to combine efficient optimization methods and tailored machine learning frameworks with strong theoretical guarantees to address societal challenges.
With this goal in mind, my current research interests are in decision-making (reinforcement learning & control), multi-agent machine learning (federated learning & game), and optimization.
Personalized Collaborative Learning with Affinity-Based Variance Reduction
ICLR, 2026.
Riemannian Adaptive Regularized Newton Methods with
Hölder Continuous Hessians
Computational Optimization and Applications, 2025.
Stochastic Semi-Gradient Descent for Learning Mean Field Games with Population-Aware Function Approximation
ICLR, 2025.
Riemannian Trust Region Methods for SC1
Minimization
Journal of Scientific Computing, 2024.
Graphon Mean Field Games with a Representative Player: Analysis and Learning Algorithm
ICML, 2024.
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
ICLR, 2024.
A Single Online Agent Can Efficiently Learn Mean Field Games
ECAI, 2024.
Pandoc Filters
Useful pandoc filters for an academic workflow
Note Box
Published version of my personal knowledge base; curated for learning in public.
Part I: Sufficientof Statistics is live!
Part II: Almost allof Probability is live!
PhD Application Reflection, For Future Reference
Some reflections on my PhD application process, hoping to help future applicants.
Obsidian Terminal
Theme
An Obsidian theme that emulates a terminal
EDAV Garden
A digital garden for
Exploratory Data
Analysis and Visualization
Review vs Stream
A research report on music reviews and streams
Salt Library
A multi-functional, interactive library system
Wox Theme Library
A theme library for Wox launcher
