Yujun Lin
Yujun Lin
Verified email at mit.edu
Cited by
Cited by
Deep Gradient Compression: Reducing the communication bandwidth for distributed training
Y Lin, S Han, H Mao, Y Wang, WJ Dally
arXiv preprint arXiv:1712.01887, 2017
HAQ: Hardware-aware automated quantization with mixed precision
K Wang, Z Liu, Y Lin, J Lin, S Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Big data driven mobile traffic understanding and forecasting: A time series approach
F Xu, Y Lin, J Huang, D Wu, H Shi, J Song, Y Li
IEEE transactions on services computing 9 (5), 796-805, 2016
Point-Voxel CNN for Efficient 3D Deep Learning
Z Liu, H Tang, Y Lin, S Han
arXiv preprint arXiv:1907.03739, 2019
Lite transformer with long-short range attention
Z Wu, Z Liu, J Lin, Y Lin, S Han
arXiv preprint arXiv:2004.11886, 2020
Searching efficient 3D architectures with sparse point-voxel convolution
H Tang, Z Liu, S Zhao, Y Lin, J Lin, H Wang, S Han
European Conference on Computer Vision, 685-702, 2020
A configurable multi-precision CNN computing framework based on single bit RRAM
Z Zhu, H Sun, Y Lin, G Dai, L Xia, S Han, Y Wang, H Yang
2019 56th ACM/IEEE Design Automation Conference (DAC), 1-6, 2019
APQ: Joint search for network architecture, pruning and quantization policy
T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
MCUNet: Tiny deep learning on IoT devices
J Lin, WM Chen, Y Lin, J Cohn, C Gan, S Han
arXiv preprint arXiv:2007.10319, 2020
Long Live Time: improving lifetime for training-in-memory engines by structured gradient sparsification
Y Cai, Y Lin, L Xia, X Chen, S Han, Y Wang, H Yang
2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), 1-6, 2018
AutoML for architecting efficient and specialized neural networks
H Cai, J Lin, Y Lin, Z Liu, K Wang, T Wang, L Zhu, S Han
IEEE Micro 40 (1), 75-82, 2019
Design automation for efficient deep learning computing
S Han, H Cai, L Zhu, J Lin, K Wang, Z Liu, Y Lin
arXiv preprint arXiv:1904.10616, 2019
A fine-grained sparse accelerator for multi-precision DNN
S Zeng, Y Lin, S Liang, J Kang, D Xie, Y Shan, S Han, Y Wang, H Yang
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
On the understanding of interdependency of mobile app usage
J Huang, F Xu, Y Lin, Y Li
2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems …, 2017
Hardware-centric autoML for mixed-precision quantization
K Wang, Z Liu, Y Lin, J Lin, S Han
International Journal of Computer Vision 128 (8), 2035-2048, 2020
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems
Y Cai, Y Lin, L Xia, X Chen, S Han, Y Wang, H Yang
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
Neural-Hardware Architecture Search
Y Lin, D Hafdi, K Wang, Z Liu, S Han
NeurIPS Workshop on Machine Learning for Systems, 2019
NAAS: Neural Accelerator Architecture Search
Y Lin, M Yang, S Han
arXiv preprint arXiv:2105.13258, 2021
Mixed-precision NN accelerator with neural-hardware architecture search
Y Lin, D Hafdi
Massachusetts Institute of Technology, 2020
Distributed Training Across the World
L Zhu, Y Lu, Y Lin, S Han
The system can't perform the operation now. Try again later.
Articles 1–20