Ji Lin

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Neural Architecture

Quantization Scheme

Diffusion Models

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Wei-Ming Chen, Wei-Chen Wang, Guangxuan Xiao, Xingyu Dang, Chuang Gan, Song Han
AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. MLSys (2024)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Song Han
Tiny Machine Learning: Progress and Futures. CoRR (2024)
Ji Lin, Jiaming Tang, Haotian Tang, Shang Yang, Xingyu Dang, Song Han
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. CoRR (2023)
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Chen Wang, Wei-Ming Chen, Chuang Gan, Song Han
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. CoRR (2023)
Ligeng Zhu, Lanxiang Hu, Ji Lin, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
PockEngine: Sparse and Efficient Fine-tuning in a Pocket. MICRO (2023)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. CoRR (2022)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27 (3) (2022)
Han Cai, Chuang Gan, Ji Lin, Song Han
Network Augmentation for Tiny Deep Learning. ICLR (2022)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR (2022)
Ji Lin, Chuang Gan, Kuan Wang, Song Han
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Muyang Li, Ji Lin, Chenlin Meng, Stefano Ermon, Song Han, Jun-Yan Zhu
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. CoRR (2022)
Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, Song Han
On-Device Training Under 256KB Memory. NeurIPS (2022)
Han Cai, Chuang Gan, Ji Lin, Song Han
Network Augmentation for Tiny Deep Learning. CoRR (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CVPR (2021)
Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu
Anycost GANs for Interactive Image Synthesis and Editing. CoRR (2021)
Ji Lin, Chuang Gan, Kuan Wang, Song Han
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. CoRR (2021)
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning. CoRR (2021)
Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han
Memory-efficient Patch-based Inference for Tiny Deep Learning. NeurIPS (2021)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. CoRR (2020)
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
MCUNet: Tiny Deep Learning on IoT Devices. CoRR (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. CoRR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CoRR (2020)
Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40 (1) (2020)
Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR (2020)
Muyang Li, Ji Lin, Yaoyao Ding, Zhijian Liu, Jun-Yan Zhu, Song Han
GAN Compression: Efficient Architectures for Interactive Conditional GANs. CVPR (2020)
Shengyu Zhao, Zhijian Liu, Ji Lin, Jun-Yan Zhu, Song Han
Differentiable Augmentation for Data-Efficient GAN Training. NeurIPS (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR (2020)
Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) (2020)
Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CoRR (2020)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
Hardware-Centric AutoML for Mixed-Precision Quantization. CoRR (2020)
Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han
Lite Transformer with Long-Short Range Attention. ICLR (2020)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
Hardware-Centric AutoML for Mixed-Precision Quantization. Int. J. Comput. Vis. 128 (8) (2020)
Ji Lin, Chuang Gan, Song Han
TSM: Temporal Shift Module for Efficient Video Understanding. ICCV (2019)
Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han
On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning. ICCV Workshops (2019)
Ji Lin, Chuang Gan, Song Han
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos. CoRR (2019)
Ji Lin, Chuang Gan, Song Han
Defensive Quantization: When Efficiency Meets Robustness. CoRR (2019)
Ji Lin, Chuang Gan, Song Han
Defensive Quantization: When Efficiency Meets Robustness. ICLR (Poster) (2019)
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
Design Automation for Efficient Deep Learning Computing. CoRR (2019)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR (2019)
Yihui He, Ji Lin, Zhijian Liu, Hanrui Wang, Li-Jia Li, Song Han
AMC: AutoML for Model Compression and Acceleration on Mobile Devices. ECCV (7) (2018)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization. CoRR (2018)
Ji Lin, Chuang Gan, Song Han
Temporal Shift Module for Efficient Video Understanding. CoRR (2018)