Consistent-Aware Deep Learning for Person Re-identification in a Camera Network. - Ji Lin 002; Liangliang Ren; Jiwen Lu; Jianjiang Feng; Jie Zhou 001 (CVPR, 2017)

Learning Discriminative Aggregation Network for Video-Based Face Recognition. - Yongming Rao; Ji Lin 002; Jiwen Lu; Jie Zhou 001 (ICCV, 2017)

Runtime Neural Pruning. - Ji Lin 002; Yongming Rao; Jiwen Lu; Jie Zhou 001 (NIPS, 2017)

AMC: AutoML for Model Compression and Acceleration on Mobile Devices. - Yihui He; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Li-Jia Li 001; Song Han 003 (ECCV (7), 2018)

Reinforcement Learning from Imperfect Demonstrations. - Yang Gao 029; Huazhe Xu; Ji Lin 002; Fisher Yu 001; Sergey Levine; Trevor Darrell (ICLR (Workshop), 2018)

Temporal Shift Module for Efficient Video Understanding. - Ji Lin 002; Chuang Gan 001; Song Han 003 (CoRR, 2018)

HAQ: Hardware-Aware Automated Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CoRR, 2018)

HAQ: Hardware-Aware Automated Quantization With Mixed Precision. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (CVPR, 2019)

Joint Monocular 3D Vehicle Detection and Tracking. - Hou-Ning Hu; Qi-Zhi Cai; Dequan Wang; Ji Lin 002; Min Sun 001; Philipp Krähenbühl; Trevor Darrell; Fisher Yu 001 (ICCV, 2019)

TSM: Temporal Shift Module for Efficient Video Understanding. - Ji Lin 002; Chuang Gan 001; Song Han 003 (ICCV, 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 002; Song Han 003 (ICCV Workshops, 2019)

Defensive Quantization: When Efficiency Meets Robustness. - Ji Lin 002; Chuang Gan 001; Song Han 003 (ICLR (Poster), 2019)

Design Automation for Efficient Deep Learning Computing. - Song Han 003; Han Cai; Ligeng Zhu; Ji Lin 002; Kuan Wang; Zhijian Liu; Yujun Lin 001 (CoRR, 2019)

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos. - Ji Lin 002; Chuang Gan 001; Song Han 003 (CoRR, 2019)

Runtime Network Routing for Efficient Image Classification. - Yongming Rao; Jiwen Lu; Ji Lin 002; Jie Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Hanrui Wang 002; Yujun Lin 001; Song Han 003 (CVPR, 2020)

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. - Haotian Tang; Zhijian Liu; Shengyu Zhao; Yujun Lin 001; Ji Lin 002; Hanrui Wang 002; Song Han 003 (ECCV (28), 2020)

Lite Transformer with Long-Short Range Attention. - Zhanghao Wu; Zhijian Liu; Ji Lin 002; Yujun Lin 001; Song Han 003 (ICLR, 2020)

MCUNet: Tiny Deep Learning on IoT Devices. - Ji Lin 002; Wei-Ming Chen; Yujun Lin 001; John Cohn; Chuang Gan 001; Song Han 003 (NeurIPS, 2020)

Differentiable Augmentation for Data-Efficient GAN Training. - Shengyu Zhao; Zhijian Liu; Ji Lin 002; Jun-Yan Zhu; Song Han 003 (NeurIPS, 2020)

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. - Tianzhe Wang; Kuan Wang; Han Cai; Ji Lin 002; Zhijian Liu; Song Han 003 (CoRR, 2020)

Hardware-Centric AutoML for Mixed-Precision Quantization. - Kuan Wang; Zhijian Liu; Yujun Lin 001; Ji Lin 002; Song Han 003 (Int. J. Comput. Vis., 2020)

AutoML for Architecting Efficient and Specialized Neural Networks. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Kuan Wang; Tianzhe Wang; Ligeng Zhu; Song Han 003 (IEEE Micro, 2020)

Anycost GANs for Interactive Image Synthesis and Editing. - Ji Lin 002; Richard Zhang 001; Frieder Ganz; Song Han 003; Jun-Yan Zhu (CVPR, 2021)

Memory-efficient Patch-based Inference for Tiny Deep Learning. - Ji Lin 002; Wei-Ming Chen; Han Cai; Chuang Gan 001; Song Han 003 (NeurIPS, 2021)

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device. - Ji Lin 002; Chuang Gan 001; Kuan Wang; Song Han 003 (CoRR, 2021)

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning. - Ji Lin 002; Wei-Ming Chen; Han Cai; Chuang Gan 001; Song Han 003 (CoRR, 2021)

Network Augmentation for Tiny Deep Learning. - Han Cai; Chuang Gan 001; Ji Lin 002; Song Han 003 (ICLR, 2022)

On-Device Training Under 256KB Memory. - Ji Lin 002; Ligeng Zhu; Wei-Ming Chen; Wei-Chen Wang 002; Chuang Gan 001; Song Han 003 (NeurIPS, 2022)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Julien Demouth; Song Han 003 (CoRR, 2022)

GAN Compression: Efficient Architectures for Interactive Conditional GANs. - Muyang Li; Ji Lin 002; Yaoyao Ding; Zhijian Liu; Jun-Yan Zhu; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Devices. - Ji Lin 002; Chuang Gan 001; Kuan Wang; Song Han 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. - Han Cai; Ji Lin 002; Yujun Lin 001; Zhijian Liu; Haotian Tang; Hanrui Wang 002; Ligeng Zhu; Song Han 003 (ACM Trans. Design Autom. Electr. Syst., 2022)

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models. - Guangxuan Xiao; Ji Lin 002; Mickaël Seznec; Hao Wu; Julien Demouth; Song Han 003 (ICML, 2023)

PockEngine: Sparse and Efficient Fine-tuning in a Pocket. - Ligeng Zhu; Lanxiang Hu; Ji Lin 002; Wei-Ming Chen; Wei-Chen Wang 002; Chuang Gan 001; Song Han 003 (MICRO, 2023)

Offsite-Tuning: Transfer Learning without Full Model. - Guangxuan Xiao; Ji Lin 002; Song Han 003 (CoRR, 2023)

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Xingyu Dang; Song Han 003 (CoRR, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models. - Muyang Li; Ji Lin 002; Chenlin Meng; Stefano Ermon; Song Han 003; Jun-Yan Zhu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Pavlo Molchanov 001; Mohammad Shoeybi; Song Han 003 (CVPR, 2024)

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Wei-Ming Chen; Wei-Chen Wang 002; Guangxuan Xiao; Xingyu Dang; Chuang Gan 001; Song Han 003 (MLSys, 2024)

Tiny Machine Learning: Progress and Futures. - Ji Lin 002; Ligeng Zhu; Wei-Ming Chen; Wei-Chen Wang 002; Song Han 003 (CoRR, 2024)

Efficient Deep Learning Computing: From TinyML to LargeLM - Ji Lin 002 (2024)

AWQ: Activation-aware Weight Quantization for On-Device LLM Compression and Acceleration. - Ji Lin 002; Jiaming Tang; Haotian Tang; Shang Yang; Guangxuan Xiao; Song Han 003 (GetMobile Mob. Comput. Commun., 2024)