Kevin Li

My interests encompass the intersection of machine learning and human-computing interaction and deep learning. I enjoy working on projects that utilize deep learning architectures or aim to interpret and understand how machine learning models learn.

Education

Aug. 2023 — Current
Ph.D. in Machine Learning
Carnegie Mellon University, Pittsburgh, PA
Advised by Albert Gu and Zico Kolter
Aug. 2019 - May 2023
B.S. in Computer Science
Georgia Institute of Technology, Atlanta, GA
Overall GPA: 4.00/4.00
Aug. 2019 - May 2023
B.S. in Biomedical Engineering
Georgia Institute of Technology, Atlanta, GA
Overall GPA: 4.00/4.00

Honors and Awards

Spring 2023
Georgia Tech Provost’s Academic Excellence Award
Selected to represent the College of Computing for most outstanding scholastic record
Spring 2023
G.D. Jain Outstanding Senior in Biomedical Engineering Award
Selected for exemplifying all-around excellence through their significant accomplishments in several of the following categories of activities: service, academics, research, industry, and entrepreneurship
Fall 2022
CIKM 2022 NSF Travel Award
Selected to receive the CIKM 2022 NSF Travel Award
Fall 2022
President's Undergraduate Research Award (PURA)
Selected to receive Georgia Tech's PURA award for work on Argo Scholar
Summer 2022
First Place, Qualcomm Intern Hackathon
1st place at Qualcomm's intern hackathon for creating information propagation framework for autonomous vehicles
Spring 2022
Undergraduate Teaching Assistant of the Year, Georgia Institute of Technology
Selected as one of three undergraduate teaching assistants to be awarded the institute-wide award for TAing CS4641/7641 Machine Learning
Spring 2022
Undergraduate Teaching Assistant of the Year, College of Computing
Selected as UTA of the year for the CSE school under the College of Computing for TAing CS4641/7641 Machine Learning
Fall 2021
Best Poster Honorable Mention, IEEE VIS
For "Argo Scholar: Interactive Visual Exploration of Literature in Browsers"
Fall 2019
Winner, HackGT6 Hackathon
Winner of “Marketplace of the Future” challenge by Anthem for work on accessing medicine availability based on insurance information

Academic Research Experience

Oct. 2023 - Current
Carnegie Mellon University, Pittsburgh, PA
Graduate Research Assistant,
Advisor: Albert Gu and Zico Kolter
Aug. 2020 - May 2023
Georgia Institute of Technology, Atlanta, GA
Undergraduate Research Assistant, Polo Club of Data Science
Advisor: Duen Horng (Polo) Chau
Conducted research in machine learning, human-computer interaction, and the intersection of the two.
Jan. 2019 — Dec. 2019
Georgia Institute of Technology, Atlanta, GA
Student Researcher, Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) Lab
Advisor: Ye Zhao
Worked on controlling cost-effective, physical model of the human hand.

Industry Experience

May 2022 — Aug. 2022
Qualcomm, San Diego, CA
Data Engineer Intern, Autonomous Driving
Designed end-to-end solution for collecting, processing, and querying of autonomous driving data for DL training. Developed Cloud Run Python server using FastAPI that connected to Google Cloud databases along with clients
May 2021 — July 2021
Amazon Web Services, Seattle, WA
Software Development Engineer Intern, Tax Team
Designed workflow to improve existing error identification system that validates all tax calculations for AWS users. Implemented in Java, Rails, and internal tools, tested using JUnit and Mockito, and performed integration testing. Resolved pre-existing system issues and helped plan long-term solutions for improving root cause analysis
July 2020 — Dec. 2020
Georgia Tech Office of Information and Technology, Atlanta, GA
Team Lead and Web Developer,
Led standups, managed hiring for the fall, and engaged with 3 clients regarding content deployment strategy.

Publications

Conference

C2
Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries
Haekyu Park, Seongmin Lee, Benjamin Hoover, Austin P. Wright, Omar Shaikh, Rahul Duggal, Nilaksh Das, Kevin Li, Judy Hoffman, Duen Horng Chau
ACM International Conference on Information and Knowledge Management (CIKM). Birmingham, UK, 2023.
Project PDF Code BibTeX
C1
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
ShengYun Peng, Weilin Xu, Cory Cornelius, Matthew Hull, Kevin Li, Rahul Duggal, Duen Horng Chau, Jason Martin
British Machine Vision Conference (BMVC). Aberdeen, UK, 2023.
Project PDF Code BibTeX Best Poster

Poster

P4
Evaluating Robustness of Vision Transformers on Imbalanced Datasets
Kevin Li, Rahul Duggal, Duen Horng Chau
Association for the Advancement of Artificial Intelligence (AAAI). Washington DC, USA, 2023.
Project PDF
P3
NeuroMapper: In-browser Visualizer for Neural Network Training
Zhiyan Zhou, Kevin Li, Haekyu Park, Megan Dass, Austin Wright, Nilaksh Das, Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Oklahoma City, OK, 2022.
Project PDF Poster Code BibTeX
P2
Evaluation of Argo Scholar with Observational Study
Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Oklahoma City, OK, 2022.
Project PDF Poster Code BibTeX
P1
Argo Scholar: Interactive Visual Exploration of Literature in Browsers
Kevin Li, Haoyang Yang, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
IEEE VIS: Visualization & Visual Analytics (IEEE VIS). Virtual, 2021.
Project PDF Poster Code BibTeX Best Poster, Honorable Mention

Demo

D2
Diffusion Explainer: Interactive Visual Learning for Stable Diffusion
Seongmin Lee, Ben Hoover, Hendrik Strobelt, Zijie J. Wang, Anthony Peng, Austin Wright, Kevin Li, Haekyu Park, Alex Yang, Polo Chau
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver, Canada, 2023.
Project PDF Code BibTeX
D1
Visual Exploration of Literature with Argo Scholar
Kevin Li, Haoyang Yang, Evan Montoya, Anish Upadhayay, Zhiyan Zhou, Jon Saad-Falcon, Duen Horng Chau
ACM International Conference on Information and Knowledge Management (CIKM). Atlanta, GA, 2022.
Project PDF Poster Code BibTeX DOI

Preprint

Press

Apr. 2023
"2023 Provost's Academic Excellence Award Recipients," Georgia Tech, Office of Undergraduate Education
Apr. 2023
"Power of People Recognized at College, Institute Awards Ceremonies," Georgia Tech, College of Computing
Apr. 2022
"Students, Faculty Finish the Year Strong with Awards Ceremonies," Georgia Tech, College of Computing
Apr. 2022
"2022 TA and Future Faculty Awards Day," Georgia Tech, Center for Teaching and Learning
Oct. 2021
"Former Student Earns Top Award at Premier Visualization Conference," Georgia Tech, College of Computing
June 2021
"New NVIDIA Partnership Bridges Education Gap for Data Science and Machine Learning," Georgia Tech, College of Computing

Teaching

Spring 2021 - Spring 2023
Head Teaching Assistant
Georgia Institute of Technology, Atlanta, GA
Machine Learning (CS 4641/7641), Instructor: Mahdi Roozbahani, Nakul Gopalan
Brainstormed, delegated, and implemented course improvements and oversaw assignment creation and checks. Wrote and graded ML theory and programming assignments for grad and undergrad classes with 750+ students in total. Helped guide, provide feedback, and grade semester-long group projects focused on applying ML to various fields.
Spring 2019 - Fall 2020
Teaching Assistant
Georgia Institute of Technology, Atlanta, GA
Intro Physics II (PHYS 2212), Instructor: Ed Greco
Assisted students during lab sections and debugging students' Python code during modeling assignments.

Service

Educational Outreach
CMU Graduate Application Support Program, 2023
Mentored 2 PhD applicants from historically underrepresented groups with statement of purpose and application.
CMU TechNights, 2023
Developed and presented lesson plan and planned activities for STEM outreach program for female middle schoolers on deep learning/foundational model introduction
NVIDIA Deep Learning Institute, 2021
Helped develop lecture slides and hands-on labs with included datasets and sample solutions in Python and interactive Jupyter notebook formats for the NVIDIA DLI Data Science toolkit.
Institutional
Georgia Tech Student Government Association (SGA) Curriculum and Classroom Practices Committee Chair, 2020-2021
Led committee of 9 in a push to update Georgia Tech's health curriculum to better suit students' and their needs. Spearheaded revamping of PLUS (Peer-Led Undergraduate Study) sessions to increase accessibility and impact.
Georgia Tech SGA Educational Enhancement Committee, 2019-2020
Revitalized health course curriculum by analyzing student feedback, benchmarking against peer institutions, and pushing forward solutions

References

Dr. Duen Horng (Polo) Chau, Associate Professor
School of Computational Science and Engineering
Georgia Institute of Technology
Dr. Mahdi Roozbahani, Lecturer
School of Computational Science and Engineering
Georgia Institute of Technology
Jake Vizzoni, Senior Staff Software Engineer
Qualcomm