Yejin Lee

According to our database, Yejin Lee authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.

Yejin Lee, Alicia Golden, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodríguez, Ram Pasunuru, Samuel Hsia, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu

IEEE Micro, 2025

2024

Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation.

Donghyun Lee, Yejin Lee, Jae W. Lee, Hongil Yoon

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation.

Suho Lee, Seungwon Seo, Jihyo Kim, Yejin Lee, Sangheum Hwang

CoRR, 2023

Not All Neighbors Matter: Point Distribution-Aware Pruning for 3D Point Cloud.

Yejin Lee, Donghyun Lee, JungUk Hong, Jae W. Lee, Hongil Yoon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ANNA: Specialized Architecture for Approximate Nearest Neighbor Search.

Yejin Lee, Hyunji Choi, Sunhong Min, Hyunseung Lee, Sangwon Beak, Dawoon Jeong, Jae W. Lee, Tae Jun Ham

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Accelerating Genomic Data Analytics With Composable Hardware Acceleration Framework.

Tae Jun Ham, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Jae W. Lee, David Bruns-Smith, Brendan Sweeney, Krste Asanovic, Young H. Oh, Lisa Wu Wills

IEEE Micro, 2021

Supervised Contrastive Embedding for Medical Image Segmentation.

Sangwoo Lee, Yejin Lee, Geongyu Lee, Sangheum Hwang

IEEE Access, 2021

ELSA: Hardware-Software Co-design for Efficient, Lightweight Self-Attention Mechanism in Neural Networks.

Tae Jun Ham, Yejin Lee, Seong Hoon Seo, Soosung Kim, Hyunji Choi, Sung Jun Jung, Jae W. Lee

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

MERCI: efficient embedding reduction on commodity hardware via sub-query memoization.

Yejin Lee, Seong Hoon Seo, Hyunji Choi, Hyoung Uk Sul, Soosung Kim, Jae W. Lee, Tae Jun Ham

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

Genesis: A Hardware Acceleration Framework for Genomic Data Analysis.

Tae Jun Ham, David Bruns-Smith, Brendan Sweeney, Yejin Lee, Seong Hoon Seo, U. Gyeong Song, Young H. Oh, Krste Asanovic, Jae W. Lee, Lisa Wu Wills

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

IIU: Specialized Architecture for Inverted Index Search.

Jun Heo, Jaeyeon Won, Yejin Lee, Shivam Bharuka, Jaeyoung Jang, Tae Jun Ham, Jae W. Lee

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

Charon: Specialized Near-Memory Processing Architecture for Clearing Dead Objects in Memory.

Jaeyoung Jang, Jun Heo, Yejin Lee, Jaeyeon Won, Seonghak Kim, Sungjun Jung, Hakbeom Jang, Tae Jun Ham, Jae W. Lee

Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019