JL

Ji Lin

0000-0001-6053-4344

cs.CVcs.LGcs.CLcs.AIstat.MLcs.GReess.IVcs.ARcs.CYcs.SD

On Valency

published · living versions

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

with Kuan Wang, Zhijian Liu, Yujun Lin, Song Han

1 version

W_24ewg7rwv1 · current

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

W_udffzhjxv1

Preprints & journals

33 papers in the corpus · 2018–2025

OpenAI GPT-5 System Card

Aaditya Singh, Adam Fry, Adam Perelman et al.

26 citations

2601.03267v22025arXiv

gpt-oss-120b & gpt-oss-20b Model Card

OpenAI: Sandhini Agarwal, Lama Ahmad, Jason Ai et al.

0 citations

2508.10925v12025arXiv

GPT-4o System Card

OpenAI: Aaron Hurst, Adam Lerer, Adam P. Goucher et al.

179 citations

2410.21276v12024arXiv

Tiny Machine Learning: Progress and Futures

Ji Lin, Ligeng Zhu, Wei-Ming Chen et al.

194 citations

2403.19076v22024IEEE Circuits and Systems Magazine, 23(3), pp. 8-34, October 2023

VILA: On Pre-training for Visual Language Models

Ji Lin, Hongxu Yin, Wei Ping et al.

249 citations

2312.07533v42023arXiv

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.

Li, Muyang, Lin, Ji, Meng, Chenlin et al.

22 citations

377132172023IEEE transactions on pattern analysis and machine intelligence. 2023;45(12):14465-14480

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Ligeng Zhu, Lanxiang Hu, Ji Lin et al.

17 citations

2310.17752v1202356th IEEE/ACM International Symposium on Microarchitecture (MICRO 2023)

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Ji Lin, Jiaming Tang, Haotian Tang et al.

103 citations

2306.00978v62023arXiv

Offsite-Tuning: Transfer Learning without Full Model

Guangxuan Xiao, Ji Lin, Song Han

26 citations

2302.04870v12023arXiv

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Guangxuan Xiao, Ji Lin, Mickael Seznec et al.

247 citations

2211.10438v72022arXiv

GAN Compression: Efficient Architectures for Interactive Conditional GANs.

Li, Muyang, Lin, Ji, Ding, Yaoyao et al.

243 citations

347523892022IEEE transactions on pattern analysis and machine intelligence. 2022;44(12):9331-9346

On-Device Training Under 256KB Memory

Ji Lin, Ligeng Zhu, Wei-Ming Chen et al.

98 citations

2206.15472v42022arXiv

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Han Cai, Ji Lin, Yujun Lin et al.

144 citations

2204.11786v12022ACM Transactions on Design Automation of Electronic Systems (TODAES), Volume 27, Issue 3, Article 20, Page 1-50, 2021

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

Lin, Ji, Gan, Chuang, Wang, Kuan et al.

81 citations

330351582022IEEE transactions on pattern analysis and machine intelligence. 2022;44(5):2760-2774

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Ji Lin, Wei-Ming Chen, Han Cai et al.

50 citations

2110.15352v22021arXiv

Network Augmentation for Tiny Deep Learning

Han Cai, Chuang Gan, Ji Lin et al.

16 citations

2110.08890v22021arXiv

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

Ji Lin, Chuang Gan, Kuan Wang et al.

1 citation

2109.13227v12021arXiv

Anycost GANs for Interactive Image Synthesis and Editing

Ji Lin, Richard Zhang, Frieder Ganz et al.

87 citations

2103.03243v12021arXiv

Hardware-Centric AutoML for Mixed-Precision Quantization

Kuan Wang, Zhijian Liu, Yujun Lin et al.

16 citations

2008.04878v12020International Journal of Computer Vision (IJCV), Volume 128, Issue 8-9, pp 2035-2048, 2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Haotian Tang, Zhijian Liu, Shengyu Zhao et al.

781 citations

2007.16100v22020arXiv

MCUNet: Tiny Deep Learning on IoT Devices

Ji Lin, Wei-Ming Chen, Yujun Lin et al.

386 citations

2007.10319v22020arXiv

Differentiable Augmentation for Data-Efficient GAN Training

Shengyu Zhao, Zhijian Liu, Ji Lin et al.

395 citations

2006.10738v42020arXiv

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

Tianzhe Wang, Kuan Wang, Han Cai et al.

187 citations

2006.08509v12020arXiv

Lite Transformer with Long-Short Range Attention

Zhanghao Wu, Zhijian Liu, Ji Lin et al.

233 citations

2004.11886v12020arXiv

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos

Ji Lin, Chuang Gan, Song Han

9 citations

1910.00932v22019arXiv

Design Automation for Efficient Deep Learning Computing

Song Han, Han Cai, Ligeng Zhu et al.

16 citations

1904.10616v12019arXiv

Defensive Quantization: When Efficiency Meets Robustness

Ji Lin, Chuang Gan, Song Han

139 citations

1904.08444v12019arXiv

Joint Monocular 3D Vehicle Detection and Tracking

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang et al.

247 citations

1811.10742v32018arXiv

HAQ: Hardware-Aware Automated Quantization with Mixed Precision

Kuan Wang, Zhijian Liu, Yujun Lin et al.

973 citations

1811.08886v32018arXiv

TSM: Temporal Shift Module for Efficient Video Understanding

Ji Lin, Chuang Gan, Song Han

2,138 citations

1811.08383v32018arXiv

Runtime Network Routing for Efficient Image Classification.

Rao, Yongming, Lu, Jiwen, Lin, Ji et al.

43 citations

303713552019IEEE transactions on pattern analysis and machine intelligence. 2019;41(10):2291-2304

Reinforcement Learning from Imperfect Demonstrations

Yang Gao, Huazhe Xu, Ji Lin et al.

137 citations

1802.05313v22018arXiv

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Yihui He, Ji Lin, Zhijian Liu et al.

1,402 citations

1802.03494v42018arXiv

Career total: 49 works. 33 are in this corpus.

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