Jinho Lee

Jinho Lee

Yonsei University

H-index: 17

Asia-South Korea

About Jinho Lee

Jinho Lee, With an exceptional h-index of 17 and a recent h-index of 11 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of AI, Accelerators, Graph processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping

Fast Adversarial Training with Dynamic Batch-level Attack Control

Design and analysis of a processing-in-dimm join algorithm: A case study with upmem dimms

Pipe-BD: Pipelined parallel blockwise distillation

Sgcn: Exploiting compressed-sparse features in deep graph convolutional network accelerators

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters

Optimus-cc: Efficient large nlp model training with 3d parallelism aware communication compression

Jinho Lee Information

University

Position

___

Citations(all)

830

Citations(since 2020)

656

Cited By

341

hIndex(all)

17

hIndex(since 2020)

11

i10Index(all)

24

i10Index(since 2020)

15

Email

University Profile Page

Yonsei University

Google Scholar

View Google Scholar Profile

Jinho Lee Skills & Research Interests

AI

Accelerators

Graph processing

Top articles of Jinho Lee

Title

Journal

Author(s)

Publication Date

Smart-Infinity: Fast Large Language Model Training using Near-Storage Processing on a Real System

Hongsun Jang

Jaeyong Song

Jaewon Jung

Jaeyoung Park

Youngsok Kim

...

2024

AGAThA: Fast and Efficient GPU Acceleration of Guided Sequence Alignment for Long Read Mapping

Seongyeon Park

Junguk Hong

Jaeyong Song

Hajin Kim

Youngsok Kim

...

2024

Fast Adversarial Training with Dynamic Batch-level Attack Control

Jaewon Jung

Jaeyong Song

Hongsun Jang

Hyeyoon Lee

Kanghyun Choi

...

2023/7/9

Design and analysis of a processing-in-dimm join algorithm: A case study with upmem dimms

Proceedings of the ACM on Management of Data

Chaemin Lim

Suhyun Lee

Jinwoo Choi

Jounghoo Lee

Seongyeon Park

...

2023/6/20

Pipe-BD: Pipelined parallel blockwise distillation

Hongsun Jang

Jaewon Jung

Jaeyong Song

Joonsang Yu

Youngsok Kim

...

2023/4/17

Sgcn: Exploiting compressed-sparse features in deep graph convolutional network accelerators

Mingi Yoo

Jaeyong Song

Jounghoo Lee

Namhyung Kim

Youngsok Kim

...

2023

GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters

arXiv preprint arXiv:2311.06837

Jaeyong Song

Hongsun Jang

Jaewon Jung

Youngsok Kim

Jinho Lee

2023/11/12

Optimus-cc: Efficient large nlp model training with 3d parallelism aware communication compression

Jaeyong Song

Jinkyu Yim

Jaewon Jung

Hongsun Jang

Hyung-Jin Kim

...

2023

Enabling Fine-Grained Spatial Multitasking on Systolic-Array NPUs Using Dataflow Mirroring

IEEE Transactions on Computers

Jinwoo Choi

Yeonan Ha

Jounghoo Lee

Sangsu Lee

Jinho Lee

...

2023/8/1

Improving Gradient Paths for Binary Convolutional Neural Networks.

Baozhou Zhu

H Peter Hofstee

Jinho Lee

Zaid Al-Ars

IBM Austin

2022

Decoupling Schedule, Topology Layout, and Algorithm to Easily Enlarge the Tuning Space of GPU Graph Processing

Shinnung Jeong

Yongwoo Lee

Jaeho Lee

Heelim Choi

Seungbin Song

...

2022/10/8

It's all in the teacher: Zero-shot quantization brought closer to the teacher

Kanghyun Choi

Hye Yoon Lee

Deokki Hong

Joonsang Yu

Noseong Park

...

2022

Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators

Mingi Yoo

Jaeyong Song

Hyeyoon Lee

Jounghoo Lee

Namhyung Kim

...

2022

Enabling hard constraints in differentiable neural network and accelerator co-exploration

Deokki Hong

Kanghyun Choi

Hye Yoon Lee

Joonsang Yu

Noseong Park

...

2022/7/10

GCoM: a detailed GPU core model for accurate analytical modeling of modern GPUs

Jounghoo Lee

Yeonan Ha

Suhyun Lee

Jinyoung Woo

Jinho Lee

...

2022/6/18

SALoBa: Maximizing Data Locality and Workload Balance for Fast Sequence Alignment on GPUs

Seongyeon Park

Hajin Kim

Tanveer Ahmad

Nauman Ahmed

Zaid Al-Ars

...

2022/5/30

ComPreEND: Computation pruning through predictive early negative detection for ReLU in a deep neural network accelerator

IEEE Transactions on Computers

Namhyung Kim

Hanmin Park

Dongwoo Lee

Sungbum Kang

Jinho Lee

...

2021/7/1

Making a better use of caches for GCN accelerators with feature slicing and automatic tile morphing

IEEE Computer Architecture Letters (CAL)

Mingi Yoo

Jaeyong Song

Jounghoo Lee

Namhyung Kim

Youngsok Kim

...

2021

Autorecon: Neural architecture search-based reconstruction for data-free compression

arXiv preprint arXiv:2105.12151

Baozhou Zhu

Peter Hofstee

Johan Peltenburg

Jinho Lee

Zaid Alars

2021/5/25

Qimera: Data-free quantization with synthetic boundary supporting samples

Advances in Neural Information Processing Systems

Kanghyun Choi

Deokki Hong

Noseong Park

Youngsok Kim

Jinho Lee

2021/12/6

See List of Professors in Jinho Lee University(Yonsei University)

Co-Authors

H-index: 43
Jung Ho Ahn

Jung Ho Ahn

Seoul National University

H-index: 42
Kiyoung Choi

Kiyoung Choi

Seoul National University

H-index: 28
Zaid Al-Ars

Zaid Al-Ars

Technische Universiteit Delft

H-index: 27
Jianyu Chen

Jianyu Chen

University of Massachusetts Amherst

H-index: 26
Jan Hidders

Jan Hidders

Birkbeck, University of London

H-index: 23
Inseok Hwang

Inseok Hwang

Pohang University of Science and Technology

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