Ji Lin

Ji Lin

Massachusetts Institute of Technology

H-index: 22

North America-United States

About Ji Lin

Ji Lin, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Deep Learning, Artificial Intelligence.

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

Awq: Activation-aware weight quantization for llm compression and acceleration

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

LIFT: Efficient Layer-wise Fine-tuning for Large Model Models

Offsite-tuning: Transfer learning without full model

Tiny Machine Learning: Progress and Futures [Feature]

Algorithm-System Co-design for Efficient and Hardware-Aware Embedded Machine Learning

Smoothquant: Accurate and efficient post-training quantization for large language models

Vila: On pre-training for visual language models

Ji Lin Information

University

Position

Ph.D. student

Citations(all)

8431

Citations(since 2020)

8260

Cited By

2106

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

28

i10Index(since 2020)

28

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Ji Lin Skills & Research Interests

Deep Learning

Artificial Intelligence

Top articles of Ji Lin

Title

Journal

Author(s)

Publication Date

Awq: Activation-aware weight quantization for llm compression and acceleration

arXiv preprint arXiv:2306.00978

Ji Lin

Jiaming Tang

Haotian Tang

Shang Yang

Xingyu Dang

...

2023/6/1

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Ligeng Zhu

Lanxiang Hu

Ji Lin

Wei-Ming Chen

Wei-Chen Wang

...

2023/10/28

LIFT: Efficient Layer-wise Fine-tuning for Large Model Models

Ligeng Zhu

Lanxiang Hu

Ji Lin

Song Han

2023/10/13

Offsite-tuning: Transfer learning without full model

arXiv preprint arXiv:2302.04870

Guangxuan Xiao

Ji Lin

Song Han

2023/2/9

Tiny Machine Learning: Progress and Futures [Feature]

Ji Lin

Ligeng Zhu

Wei-Ming Chen

Wei-Chen Wang

Song Han

2023/10/13

Algorithm-System Co-design for Efficient and Hardware-Aware Embedded Machine Learning

Ji Lin

Wei-Ming Chen

Song Han

2023/10/10

Smoothquant: Accurate and efficient post-training quantization for large language models

Guangxuan Xiao

Ji Lin

Mickael Seznec

Hao Wu

Julien Demouth

...

2023/7/3

Vila: On pre-training for visual language models

arXiv preprint arXiv:2312.07533

Ji Lin

Hongxu Yin

Wei Ping

Yao Lu

Pavlo Molchanov

...

2023/12/12

Efficient spatially sparse inference for conditional gans and diffusion models

IEEE Transactions on Pattern Analysis and Machine Intelligence

Muyang Li

Ji Lin

Chenlin Meng

Stefano Ermon

Song Han

...

2023/9/15

On-device training under 256kb memory

Advances in Neural Information Processing Systems

Ji Lin

Ligeng Zhu

Wei-Ming Chen

Wei-Chen Wang

Chuang Gan

...

2022/12/6

Enable deep learning on mobile devices: Methods, systems, and applications

TODAES 2022

Han Cai*

Ji Lin*

Yujun Lin*

Zhijian Liu*

Haotian Tang*

...

2022/3/4

Mcunetv2: Memory-efficient patch-based inference for tiny deep learning

arXiv preprint arXiv:2110.15352

Ji Lin

Wei-Ming Chen

Han Cai

Chuang Gan

Song Han

2021/10/28

Network augmentation for tiny deep learning

Han Cai

Chuang Gan

Ji Lin

Song Han

2021/10/17

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device

arXiv preprint arXiv:2109.13227

Ji Lin

Chuang Gan

Kuan Wang

Song Han

2021/9/27

Anycost gans for interactive image synthesis and editing

CVPR'21

Ji Lin

Richard Zhang

Frieder Ganz

Song Han

Jun-Yan Zhu

2021/3/4

Lite transformer with long-short range attention

Zhanghao Wu*

Zhijian Liu*

Ji Lin

Yujun Lin

Song Han

2020/4/24

Mcunet: Tiny deep learning on iot devices

Advances in Neural Information Processing Systems

Ji Lin

Wei-Ming Chen

Yujun Lin

Chuang Gan

Song Han

2020

Differentiable augmentation for data-efficient gan training

Advances in Neural Information Processing Systems (NeurIPS)

Shengyu Zhao

Zhijian Liu

Ji Lin

Jun-Yan Zhu

Song Han

2020/6/18

Apq: Joint search for network architecture, pruning and quantization policy

Tianzhe Wang

Kuan Wang

Han Cai

Ji Lin

Zhijian Liu

...

2020

Gan compression: Efficient architectures for interactive conditional gans

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Muyang Li

Ji Lin

Yaoyao Ding

Zhijian Liu

Jun-Yan Zhu

...

2020/3/19

See List of Professors in Ji Lin University(Massachusetts Institute of Technology)

Co-Authors

H-index: 89
Jiwen Lu (鲁继文)

Jiwen Lu (鲁继文)

Tsinghua University

H-index: 60
Chuang Gan

Chuang Gan

Massachusetts Institute of Technology

H-index: 55
Song Han

Song Han

Massachusetts Institute of Technology

H-index: 50
Jun-Yan Zhu

Jun-Yan Zhu

Carnegie Mellon University

H-index: 45
Li-Jia Li

Li-Jia Li

Stanford University

academic-engine