Concepedia

Yi-Lin Sung

YS

Statistics

Publications

5

Citations

240

H-Index

5

Active since

2022

Affiliations

University of North Carolina at Chapel Hill(Current)

University of North Carolina Health Care

Yi-Lin Sung is an author at University of North Carolina at Chapel Hill specializing in engineering, machine vision, and computer vision.

Top concepts

EngineeringDeep LearningMachine VisionComputer VisionMachine LearningData ScienceImage AnalysisComputer ScienceTransfer LearningPre-trained Models

Publications per year

2022–2023

5

Publications

5

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

Yi-Lin Sung, Jaemin Cho, Mohit Bansal · arXiv (Cornell University) · 2022 · 79 citations · Full text

Llm Fine-tuning, Large Pre-trained Models, Engineering +17

Vision Transformers are Parameter-Efficient Audio-Visual Learners

Yan-Bo Lin, Yi-Lin Sung, Jie Lei et al. · 2023 · 78 citations

Multimodal Llm, Machine Vision, Machine Learning +13

Unified Coarse-to-Fine Alignment for Video-Text Retrieval

Ziyang Wang, Yi-Lin Sung, Feng Cheng et al. · 2023 · 46 citations

Natural Language Processing, Video-text Retrieval, Image Analysis +15

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

Yi-Lin Sung, Jaemin Cho, Mohit Bansal · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 22 citations · Full text

Engineering, Machine Learning, Popular Adapter-based Methods +16

An Empirical Study of Multimodal Model Merging

Yi-Lin Sung, Linjie Li, Kevin Lin et al. · 2023 · 15 citations · Full text

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