Ji Lin

According to our database, Ji Lin authored at least 43 papers between 2017 and 2024.

Collaborative distances:

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

2024

Efficient Deep Learning Computing: From TinyML to LargeLM

Ji Lin

PhD thesis, 2024

Tiny Machine Learning: Progress and Futures.

Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han

CoRR, 2024

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

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.

Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

VILA: On Pre-training for Visual Language Models.

Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han

CoRR, 2023

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

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han

CoRR, 2023

Offsite-Tuning: Transfer Learning without Full Model.

Guangxuan Xiao, Ji Lin, Song Han

CoRR, 2023

PockEngine: Sparse and Efficient Fine-tuning in a Pocket.

Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

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

Guangxuan Xiao, Ji Lin, Mickaël Seznec, Hao Wu, Julien Demouth, Song Han

Proceedings of the International Conference on Machine Learning, 2023

2022

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

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han

ACM Trans. Design Autom. Electr. Syst., 2022

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

Ji Lin, Chuang Gan, Kuan Wang, Song Han

IEEE Trans. Pattern Anal. Mach. Intell., 2022

GAN Compression: Efficient Architectures for Interactive Conditional GANs.

Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Guangxuan Xiao, Ji Lin, Mickaël Seznec, Julien Demouth, Song Han

CoRR, 2022

On-Device Training Under 256KB Memory.

Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Network Augmentation for Tiny Deep Learning.

Han Cai, Chuang Gan, Ji Lin, Song Han

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

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

Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han

CoRR, 2021

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

Ji Lin, Chuang Gan, Kuan Wang, Song Han

CoRR, 2021

Memory-efficient Patch-based Inference for Tiny Deep Learning.

Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anycost GANs for Interactive Image Synthesis and Editing.

Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

AutoML for Architecting Efficient and Specialized Neural Networks.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han

IEEE Micro, 2020

Hardware-Centric AutoML for Mixed-Precision Quantization.

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

Int. J. Comput. Vis., 2020

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

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han

CoRR, 2020

Differentiable Augmentation for Data-Efficient GAN Training.

Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MCUNet: Tiny Deep Learning on IoT Devices.

Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lite Transformer with Long-Short Range Attention.

Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

Proceedings of the 8th International Conference on Learning Representations, 2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.

Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Runtime Network Routing for Efficient Image Classification.

Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 2019

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

Ji Lin, Chuang Gan, Song Han

CoRR, 2019

Design Automation for Efficient Deep Learning Computing.

Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin

CoRR, 2019

Defensive Quantization: When Efficiency Meets Robustness.

Ji Lin, Chuang Gan, Song Han

Proceedings of the 7th International Conference on Learning Representations, 2019

On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning.

Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

TSM: Temporal Shift Module for Efficient Video Understanding.

Ji Lin, Chuang Gan, Song Han

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Joint Monocular 3D Vehicle Detection and Tracking.

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

HAQ: Hardware-Aware Automated Quantization With Mixed Precision.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

HAQ: Hardware-Aware Automated Quantization.

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

CoRR, 2018

Temporal Shift Module for Efficient Video Understanding.

Ji Lin, Chuang Gan, Song Han

CoRR, 2018

Reinforcement Learning from Imperfect Demonstrations.

Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell

Proceedings of the 6th International Conference on Learning Representations, 2018

AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Runtime Neural Pruning.

Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Discriminative Aggregation Network for Video-Based Face Recognition.

Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou

Proceedings of the IEEE International Conference on Computer Vision, 2017

Consistent-Aware Deep Learning for Person Re-identification in a Camera Network.

Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017