Suivre
Yujun Lin
Yujun Lin
Ph.D. student, MIT
Adresse e-mail validée de mit.edu - Page d'accueil
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Année
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
9952017
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
6142019
Point-Voxel CNN for Efficient 3D Deep Learning
Z Liu, H Tang, Y Lin, S Han
arXiv preprint arXiv:1907.03739, 2019
3082019
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
2012020
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
1712016
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
1502020
Lite Transformer with Long-Short Range Attention
Z Wu, Z Liu, J Lin, Y Lin, S Han
Proceedings of the International Conference on Learning Representitive (ICLR’20), 2020
1412020
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
1032020
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
572019
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
362018
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
31*2019
Quantumnas: Noise-adaptive search for robust quantum circuits
H Wang, Y Ding, J Gu, Y Lin, DZ Pan, FT Chong, S Han
2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022
182022
Naas: Neural accelerator architecture search
Y Lin, M Yang, S Han
2021 58th ACM/IEEE Design Automation Conference (DAC), 1051-1056, 2021
152021
Neural-Hardware Architecture Search
Y Lin, D Hafdi, K Wang, Z Liu, S Han
NeurIPS Workshop on Machine Learning for Systems, 2019
112019
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
112017
Delayed gradient averaging: Tolerate the communication latency for federated learning
L Zhu, H Lin, Y Lu, Y Lin, S Han
Advances in Neural Information Processing Systems 34, 29995-30007, 2021
92021
Enable deep learning on mobile devices: Methods, systems, and applications
H Cai, J Lin, Y Lin, Z Liu, H Tang, H Wang, L Zhu, S Han
ACM Transactions on Design Automation of Electronic Systems (TODAES) 27 (3 …, 2022
82022
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
82020
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
82020
TorchSparse: Efficient Point Cloud Inference Engine
H Tang, Z Liu, X Li, Y Lin, S Han
Conference on Machine Learning and Systems (MLSys), 2022
72022
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