Mathematics, Statistics and Computer Science Department, Macalester College, Spring 2020 - PRESENT 2020
Research and Development Department, Thorough Images, Spring 2021
Research and Development Department, Thorough Images, Spring 2021
Mathematics, Statistics and Computer Science Department, Macalester College, Summer 2021
PRIOR Group, Allen Institute for Artificial Intelligence (AI2), Fall 2021 - Spring2022
Contribute codes for baseline experiments and pretrained models of various of MuJoCo environments to the project of AllenAct, and provide a Tutorial.
Notes For Paper Generative Adversarial Imitation Learning (GAIL)
It is crazy to configure Linux to a latest released laptop, especially for a newbie to the hardware and system (like me), so I would like to share my major configurations journal here for others (and just in case I need to rebuild everything if it is crashed in the future…)
COMSOL
This project is mentored by Albert Chen at UCLA and the final paper was published.
In this work, using COMSOL and MATLAB, a finite element code was used for the design, optimization and visualization of a comb drive accelerator.
MATLAB
This is the final paper for the 20th Annual High School Mathematical Contest in Modeling (HiMCM), problem A.
Using MATLAB, I built models to determine the required number of drones and every drone’s initial location during the process. Any simple pictures or icons could be designed for the drone show by my MATLAB program.View PDF
Python
This is the first practice for machine learning and for Kaggle competition: House Prices: Advanced Regression Techniques. Using Ridge, Lasso, LGBM, XGB, Stacking CV Regressor, and etc, to reach Score(mean absolute error): 11977.59807; 13th place out of 19,465 teams (0.06%) For more information, please see my project directly or visit my Github Repository.
Python
2020 Summer Research with professor Esra Kadioglu Urtis, and students Aaron Gould, Elisabeth Landgren, and Fan Zhang at Macalester College. We developed and implemented reinforcement learning based algorithms with simulations and a gym environment for coverage path planning for multiple drones using Actor Critic using Kronecker-Factored Trust Region (ACKTR) deep reinforcement learning method provided by Stable Baselines(OpenAI) in Python(My Reseaerch Report, My Github Repository).
Python
This is the project for the capstone course MATH 471 Topology at Macalester College, discussing the power of topological data analysis for machine learning. Due to the time limit, the test for methodology was only on the MNIST dataset. Digital Artifact Notebook, GitHub Repo
Python
Full time research internship for learning, understanding, developing, and optimizing computer vision models to complete intelligent solutions for pathological images at Thorough Images(the GitHub Repo is hidden for publication so far).
Python
Contribute codes for baseline experiments and pretrained models of various of MuJoCo environments to the project of AllenAct, and provide a Tutorial.
Published in Mathematical Study and Research Vol 19, 2017
(Euclidean geometry) was as dazzling as first love. — Bertrand Russell. As a high schooler, This Euclidean geometry paper(in Chinese) is for mathematical Olympics competitions published in Chinese Periodical Mathematical Study and Research
Browse here
Published in Modern Mechanical Engineering Vol.8 No.1, February, 2018
As a high schooler, this is my first research experience mentored by Albert Chen at UCLA
Browse here
Published in Preprint, 2021
Paper wrote in summer research with Lisa Naples about geometric measure theory.
Browse here
Published in arXiv, 2021
Paper wrote in my research intern for learning, understanding, developing, and optimizing computer vision models to complete intelligent solutions for pathological images at Thorough Images.
Browse here
“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed
“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed
“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed
“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed
“Reinforcement Learning: An Introduction” by Richard Sutton & Andrew Barto, 2nd Ed
