Kevin Hyekang Joo

I am a graduate student at the University of Maryland, College Park, where I work as a research assistant on projects primarily concerning computer vision and machine learning with my advisor Dr. David W. Jacobs. I am particularly interested in the areas of Video & Motion Understanding, Generative Models, Image Construction & Manipulation, and Human Cognition Modeling.

I received a B.S. from the University of Maryland, College Park, in May 2021, where I majored in Computer Science with specialization in Machine Learning and minored in Technology Entrepreneurship.

profile photo


Previously, I conducted research on Data Science and Data Visualization with Dr. Leilani Battle at UWashington Interactive Data Lab (formerly UMD Battle Data Lab) and on Object Detection and Tracking with Dr. Mohammad Nayeem Teli at the University of Maryland. In addition, I have conducted research on Temporal Action Proposal Generation and 3D Reconstruction as an affiliate research assistant under Dr. Ngan Le at the AICV Lab based in the University of Arkansas.

News
  • 2/22: A paper [3] accepted at SIGMOD 2022 (Demo Track)
  • 1/22: Serves as a Teaching Assistant for MSML641 (Natural Language Processing) and CMSC426 (Computer Vision) at the University of Maryland
  • 1/22: Receives the Graduate Assistantship as a Full-Time Teaching Assistant for Spring 2022 from the University of Maryland
  • 12/21: Serves as a Student Committee Member for Graduate School Admissions for the Department of Computer Science at the University of Maryland, reviewing over 20 applications (2022 Cycle)
  • 12/21: Completes the Semester with a GPA of 4.0
  • 10/21: A paper [2] accepted at BMVC 2021 for an oral presentation
  • 8/21: Receives the Graduate Assistantship as a Full-Time Research Assistant for Fall 2021 from the University of Maryland
  • 7/21: Selected as one of 12 receipients of $10,000 Google Scholarship in the year of 2021, funded by Google for my CS graduate studies
  • 6/21: Starts Research Internship with Dr. Leilani Battle at the University of Maryland and the University of Washington through the Research Experiences for Undergraduates (REU) program funded by CRA
  • 5/21: Graduates from the University of Maryland with a B.S. in Computer Science (Machine Learning Track)
  • 6/20: Starts Software Engineering Internship at Amazon
  • 6/19: Starts Software Engineering Internship at Amazon Web Services (AWS) in Herndon, VA
Publications
[3] Demonstration of VegaPlus: Optimizing Declarative Visualization Languages new
Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle
ACM Special Interest Group on Management of Data (SIGMOD) Conference - Demo Track, 2022
machine learning hci
SIGMOD Demo '22 statistics [h5-index: 69]: To Be Announced
tags: data visualization, optimization, scalability, dataflow, machine learning
project page / github / pdf / bibtex

We propose a system that takes declarative specifications to automatically offload computation-intensive processing to a separate DBMS by optimizing visualization plans through machine learning techniques.

[ Note: This is an REU project that I worked on with Dr. Battle and Dr. Moritz in Summer 2021. Keep an eye out for the extended version of the work, to be done and submitted in Fall 2022! ]
[2] AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
Khoa Vo, Hyekang Joo, Kashu Yamazaki, Sang Truong, Kris Kitani, Minh-Triet Tran, Ngan Le
The British Machine Vision Conference (BMVC), 2021 (Oral Presentation)
computer vision
BMVC '21 statistics [h5-index: 66]: 40 (3.33%) oral / 437 (36.23%) accept / 1206 submissions
tags: temporal action proposal generation, activitynet
project page / github / pdf / bibtex

The human perceives the establishment of an action in a video through the interaction between an actor and the surrounding environment. We borrow the idea in producing the proposed Actor-Environment Interaction network.
[1] Guided Hyperparameter Tuning Through Visualization and Inference
Hyekang Joo, Calvin Bao, Ishan Sen, Furong Huang, Leilani Battle
arXiv, 2021
machine learning hci
tags: hyperparameter tuning, AutoML
pdf / bibtex

We create an AutoML tool and run evaluations on machine translation and image classification through user studies.

*PI & Co-PI are marked green on mouse-hover

Service
UMDCS

Graduate School Admissions

Department of Computer Science
University of Maryland, College Park

Student Committee Member for CS Graduate School Admissions
2022
UMDACM

Student Groups

Association for Computing Machinery
University of Maryland, College Park

President
2020-2021 2019-2020

Vice President
2021-2022

Secretary
2018-2019
ALD Alpha Lambda Delta Honor Society
University of Maryland, College Park

Webmaster
2021-2022 2020-2021 2019-2020
cybersecurity Cybersecurity Club
University of Maryland, College Park

Secretary
2018-2019
i4c

Mentorship

Diversity & Inclusion in Computing Education (DICE)
University of Maryland, College Park

Mentor
2021-2022
bitcamp Bitcamp (Hackathon)
University of Maryland, College Park

Mentor
2022

Teaching Assistant Experience
UMDCS

Computer Science TA @ UMD

Computer Vision (CMSC426)
Instructor: Dr. Mohammad Nayeem Teli
Spring 2022
Natural Language Processing (MSML641)
Instructor: Dr. Shabnam Tafreshi
Spring 2022
Object-Oriented Programming I (CMSC131)
Instructor: Senior Lecturer Nelson Padua-Perez
Fall 2019 Spring 2020
hinman

Technology & Engineering Entrepreneurship TA @ UMD

Entrepreneurial Opportunity Analysis and Decision-Making in Technology Ventures (ENES210)
Instructor: Dr. James Green
Spring 2021
Marketing High-Technology Products and Innovations (ENES462)
Instructor: Lecturer Michael Pratt
Spring 2021
Leading and Financing the Technology Venture (ENES466)
Instructor: Lecturer Michael Pratt
Spring 2021

cocacoda
0xC0C4C0DA
(It's not a typical soda!)

v22.4.8


More About Me :) Special Thanks