Chapel Hill, NC
ylsung@cs.unc.edu

Yi-Lin Sung

CS PhD student at UNC

About me

PROFESSIONAL PATH

I am a second year PhD student at UNC, Chapel Hill. I currently work in the MURGe-Lab, and am advised by Mohit Bansal. My research interests are in the areas of Deep Learning, Machine Learning, and Computer Vision. Recently, I am particularly interested in multi-modal learning, paramter-efficient transfer learning, and continual learning, where my goal is to enable the agent to learn and do inference as humans. Before joining MURGe-Lab, I also worked with Colin Raffel and Marc Niethammer.

Publications

MY WORK

2022

LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning

Yi-Lin Sung, Jaemin Cho, Mohit Bansal
arXiv:2206.06522

VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks

Yi-Lin Sung, Jaemin Cho, Mohit Bansal
CVPR 2022

2021

Training Neural Networks with Fixed Sparse Masks

Yi-Lin Sung*, Varun Nair*, Colin Raffel
NeurIPS, 2021.

The Maximum A Posteriori Estimation of DARTS

Yi-Lin Sung, Jun-Liang Lin, Cheng-Yao Hong, Tyng-Luh Liu
ICIP, 2021.

2020

Video Summarization with Anchors and Multi-head Attention

Yi-Lin Sung, Cheng-Yao Hong, Yen-Chi Hsu
ICIP, 2020.

2019

Difference-Seeking Generative Adversarial Network -- Unseen Data Generation

Yi-Lin Sung, Sung-Hsien Hsieh, Soo-Chang Pei, Chun-Shien Lu
ICLR, 2020.

Tetris Battle -- A New Environment for Single mode and Double Mode Game

Yi-Lin Sung
NeurIPS Workshop on Deep Reinforcement Learning, 2019.

Work Experience

PREVIOUS JOBS

Graduate Research Assistant@MURGe-Lab

Computer Science Department, UNC Chapel Hill
Aug. 2021 - Present

  • Advisor: Mohit Bansal

Summer Intern@UNC-biag

Computer Science Department, UNC Chapel Hill
Jan. 2021 - May. 2021

  • Advisor: Marc Niethammer

Teaching Assistant

Computer Science Department, UNC Chapel Hill
Jan. 2021 - May. 2021

  • Course: Deep learning.

AI Researcher

Cinnamon AI Taiwan
Mar. 2020 - Dec. 2020

Research Assistant

Institute of Information Science, Academia Sinica
Sep. 2018 - Mar. 2020

  • Advisor: Dr. Tyng-Luh Liu

Research Intern

Institute of Information Science, Academia Sinica
July 2018 - Aug. 2018

  • Advisor: Dr. Tyng-Luh Liu

Teaching Assistant

Graduate Institute of Communication Engineering, National Taiwan University
Jan. 2018 - June 2018

  • Course: Machine Learning and Having It Deep and Structured.

Education

ACADEMIC CAREER

PhD student

The University of North Carolina at Chapel Hill - Computer Science
Jan. 2021 - Present

Master of Science

National Taiwan University - Communication Engineering
Sep. 2017 - June 2019

Bachelor of Science

National Taiwan University - Chemical Engineering
Sep. 2012 - Jan. 2017