I'm a Master's student in Computer Science at Brown University, privileged to be advised by Prof. Michael Littman and Prof. Stephen Bach. 


I focus on leveraging natural language's structured and compositional characteristics as a representation of knowledge to guide machine learning. Currently, I am evaluating the planning and decision-making capabilities of generative language models and modeling uncertainties within these systems to create harmless, helpful, and honest agents.


Before joining Brown, I earned my Bachelor's degree in Computer Science at UC San Diego with the highest distinction. I had the privilege of working in Prof. Hao Su's Lab and Prof. Sicun Gao's group. I spend three years as HPC research intern at San Diego Supercomputer Center under Dr. Mary Thomas's supervision. I (re)-founded Supercomputing @ UCSD and served as the President during 2019-2022.

GCS d+ c++ -p+ m+++ l+ s/+ x+ w+ 

Research

Abstract-to-Executable Trajectory Translation for One-Shot Task Generalization

Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su

ICML 2023 

[project page] [paper] 

Critique of: "A Parallel Framework for Constraint-Based Bayesian Network Learning via Markov Blanket Discovery" by SCC Team from UC San Diego”

Arunav Gupta, John Ge, John Li, Zihao Kong, Kaiwen He, Matthew Mikhailov, Xiaochen Li, Maximilliam Apodaca, Mary P Thomas, Paul Rodriguez, Mahidar Tatineni, Santosh Bhatt, Bryan Chin

IEEE Transactions on Parallel and Distributed Systems ( Early Access )

[paper]

Efficient Hierarchical Navigation and Manipulation by Constrain-induced Option-Reward Design

Zhiao Huang, Xiaochen Li, Hao Su

RSS 2021 Workshop on Declarative and Neurosymbolic Representations in Robot Learning and Control

[paper] [presentation]

Critique of "MemXCT: memory-centric X-ray CT reconstruction with massive parallelization" by SCC Team from University of California, San Diego

Xiaochen Li, Maximilliam Apodaca, Arunv Gupta, Zihao Kong, Hongyi Pan, Hongyu Zou, Lewis Carrol, Marty Kandes, Zhaoyi Li, Mahidhar Tetinani, Mary P Thomas 

IEEE Transactions on Parallel and Distributed System ( Volume: 33, Issue: 9, 01 September 2022)

[paper]

On The Sample Complexity and Global Convergence of Gradient-Based Method Under The Context of Optimal Control

Xiaochen Li, Sicun Gao

Undergraduate thesis, present at Undergraduate Research Conference (URC 2021) 

[presentation]