Ji Lin

61 papers A* 18Journal 35Unranked 7
YearRankTypeTitle / Venue / Authors
2024 — conf
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration.
MLSys
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han
2024 J jnl
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration.
GetMobile Mob. Comput. Commun.
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Guangxuan Xiao, Song Han
2024 — —
Efficient Deep Learning Computing: From TinyML to LargeLM
Ji Lin
2024 J jnl
Tiny Machine Learning: Progress and Futures.
CoRR
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han
2024 A* conf
VILA: On Pre-training for Visual Language Models.
CVPR
Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han
2023 J jnl
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.
CoRR
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han
2023 J jnl
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2023 J jnl
Offsite-Tuning: Transfer Learning without Full Model.
CoRR
Guangxuan Xiao, Ji Lin, Song Han
2023 A* conf
PockEngine: Sparse and Efficient Fine-tuning in a Pocket.
MICRO
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2023 J jnl
PockEngine: Sparse and Efficient Fine-tuning in a Pocket.
CoRR
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han
2023 A* conf
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
ICML
Guangxuan Xiao, Ji Lin, Mickaël Seznec, Hao Wu, Julien Demouth, Song Han
2023 J jnl
VILA: On Pre-training for Visual Language Models.
CoRR
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
2022 A* conf
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.
NeurIPS
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2022 J jnl
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models.
CoRR
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
2022 J jnl
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications.
CoRR
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
2022 J jnl
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications.
ACM Trans. Design Autom. Electr. Syst.
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
2022 J jnl
GAN Compression: Efficient Architectures for Interactive Conditional GANs.
IEEE Trans. Pattern Anal. Mach. Intell.
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2022 A* conf
Network Augmentation for Tiny Deep Learning.
ICLR
Han Cai, Chuang Gan, Ji Lin, Song Han
2022 A* conf
On-Device Training Under 256KB Memory.
NeurIPS
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2022 J jnl
On-Device Training Under 256KB Memory.
CoRR
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
2022 J jnl
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
CoRR
Guangxuan Xiao, Ji Lin, Mickaël Seznec, Julien Demouth, Song Han
2022 J jnl
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices.
IEEE Trans. Pattern Anal. Mach. Intell.
Ji Lin, Chuang Gan, Kuan Wang, Song Han
2021 A* conf
Anycost GANs for Interactive Image Synthesis and Editing.
CVPR
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021 J jnl
Anycost GANs for Interactive Image Synthesis and Editing.
CoRR
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
2021 J jnl
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning.
CoRR
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
2021 A* conf
Memory-efficient Patch-based Inference for Tiny Deep Learning.
NeurIPS
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
2021 J jnl
Network Augmentation for Tiny Deep Learning.
CoRR
Han Cai, Chuang Gan, Ji Lin, Song Han
2021 J jnl
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device.
CoRR
Ji Lin, Chuang Gan, Kuan Wang, Song Han
2020 A* conf
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.
CVPR
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
2020 J jnl
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.
CoRR
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han
2020 J jnl
AutoML for Architecting Efficient and Specialized Neural Networks.
IEEE Micro
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
2020 A* conf
Differentiable Augmentation for Data-Efficient GAN Training.
NeurIPS
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
2020 J jnl
Differentiable Augmentation for Data-Efficient GAN Training.
CoRR
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
2020 A* conf
GAN Compression: Efficient Architectures for Interactive Conditional GANs.
CVPR
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020 J jnl
GAN Compression: Efficient Architectures for Interactive Conditional GANs.
CoRR
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
2020 J jnl
Hardware-Centric AutoML for Mixed-Precision Quantization.
CoRR
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
2020 J jnl
Hardware-Centric AutoML for Mixed-Precision Quantization.
Int. J. Comput. Vis.
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
2020 A* conf
Lite Transformer with Long-Short Range Attention.
ICLR
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
2020 J jnl
Lite Transformer with Long-Short Range Attention.
CoRR
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
2020 A* conf
MCUNet: Tiny Deep Learning on IoT Devices.
NeurIPS
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
2020 J jnl
MCUNet: Tiny Deep Learning on IoT Devices.
CoRR
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
2020 — conf
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.
ECCV (28)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
2020 J jnl
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.
CoRR
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
2019 — conf
Defensive Quantization: When Efficiency Meets Robustness.
ICLR (Poster)
Ji Lin, Chuang Gan, Song Han
2019 J jnl
Defensive Quantization: When Efficiency Meets Robustness.
CoRR
Ji Lin, Chuang Gan, Song Han
2019 J jnl
Design Automation for Efficient Deep Learning Computing.
CoRR
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
2019 A* conf
HAQ: Hardware-Aware Automated Quantization With Mixed Precision.
CVPR
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
2019 A* conf
Joint Monocular 3D Vehicle Detection and Tracking.
ICCV
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2019 — conf
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning.
ICCV Workshops
Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han
2019 J jnl
Runtime Network Routing for Efficient Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Yongming Rao, Jiwen Lu, Ji Lin, Jie Zhou
2019 A* conf
TSM: Temporal Shift Module for Efficient Video Understanding.
ICCV
Ji Lin, Chuang Gan, Song Han
2019 J jnl
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos.
CoRR
Ji Lin, Chuang Gan, Song Han
2018 — conf
AMC: AutoML for Model Compression and Acceleration on Mobile Devices.
ECCV (7)
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han
2018 J jnl
HAQ: Hardware-Aware Automated Quantization.
CoRR
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
2018 J jnl
Joint Monocular 3D Vehicle Detection and Tracking.
CoRR
Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun, Philipp Krähenbühl, Trevor Darrell, Fisher Yu
2018 — conf
Reinforcement Learning from Imperfect Demonstrations.
ICLR (Workshop)
Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
2018 J jnl
Reinforcement Learning from Imperfect Demonstrations.
CoRR
Yang Gao, Huazhe Xu, Ji Lin, Fisher Yu, Sergey Levine, Trevor Darrell
2018 J jnl
Temporal Shift Module for Efficient Video Understanding.
CoRR
Ji Lin, Chuang Gan, Song Han
2017 A* conf
Consistent-Aware Deep Learning for Person Re-identification in a Camera Network.
CVPR
Ji Lin, Liangliang Ren, Jiwen Lu, Jianjiang Feng, Jie Zhou
2017 A* conf
Learning Discriminative Aggregation Network for Video-Based Face Recognition.
ICCV
Yongming Rao, Ji Lin, Jiwen Lu, Jie Zhou
2017 — conf
Runtime Neural Pruning.
NIPS
Ji Lin, Yongming Rao, Jiwen Lu, Jie Zhou