Yujun Lin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Inference Engine

Average Precision

Communication Bandwidth

Top Venues

Publications

Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR (2024)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 1 (2023)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. CoRR (2022)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA (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, 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)
Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han
TorchSparse: Efficient Point Cloud Inference Engine. MLSys (2022)
Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR (2021)
Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han
PointAcc: Efficient Point Cloud Accelerator. MICRO (2021)
Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS (2021)
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)
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)
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)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (12) (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)
Shulin Zeng, Yujun Lin, Shuang Liang, Junlong Kang, Dongliang Xie, Yi Shan, Song Han, Yu Wang, Huazhong Yang
A Fine-Grained Sparse Accelerator for Multi-Precision DNN. FPGA (2019)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS (2019)
Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC (2019)
Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin
Design Automation for Efficient Deep Learning Computing. CoRR (2019)
Zhijian Liu, Haotian Tang, Yujun Lin, Song Han
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR (2019)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR (2019)
Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) (2018)
Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han
HAQ: Hardware-Aware Automated Quantization. CoRR (2018)
Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC (2018)
Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR (2017)
Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li
On the Understanding of Interdependency of Mobile App Usage. MASS (2017)