Sheng Lin
Sheng Lin
Dirección de correo verificada de husky.neu.edu
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Año
A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning
N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
1062017
Progressive dnn compression: A key to achieve ultra-high weight pruning and quantization rates using admm
S Ye, X Feng, T Zhang, X Ma, S Lin, Z Li, K Xu, W Wen, S Liu, J Tang, ...
arXiv preprint arXiv:1903.09769, 2019
192019
FFT-based deep learning deployment in embedded systems
S Lin, N Liu, M Nazemi, H Li, C Ding, Y Wang, M Pedram
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
182018
Patdnn: Achieving real-time DNN execution on mobile devices with pattern-based weight pruning
W Niu, X Ma, S Lin, S Wang, X Qian, X Lin, Y Wang, B Ren
Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020
122020
Admm-based weight pruning for real-time deep learning acceleration on mobile devices
H Li, N Liu, X Ma, S Lin, S Ye, T Zhang, X Lin, W Xu, Y Wang
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 501-506, 2019
82019
Tiny but accurate: A pruned, quantized and optimized memristor crossbar framework for ultra efficient dnn implementation
X Ma, G Yuan, S Lin, C Ding, F Yu, T Liu, W Wen, X Chen, Y Wang
2020 25th Asia and South Pacific Design Automation Conference (ASP-DAC), 301-306, 2020
72020
Reconfigurable thermoelectric generators for vehicle radiators energy harvesting
D Baek, C Ding, S Lin, D Shin, J Kim, X Lin, Y Wang, N Chang
2017 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2017
72017
An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM
G Yuan, X Ma, C Ding, S Lin, T Zhang, ZS Jalali, Y Zhao, L Jiang, ...
2019 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2019
52019
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM
S Lin, X Ma, S Ye, G Yuan, K Ma, Y Wang
ICML workshop arXiv preprint arXiv:1905.00789, 2019
52019
ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning
X Ma, G Yuan, S Lin, Z Li, H Sun, Y Wang
2019 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH), 1-2, 2019
42019
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ...
arXiv preprint arXiv:2002.11474, 2020
32020
Learning topics using semantic locality
Z Zhao, K Pugdeethosapol, S Lin, Z Li, C Ding, Y Wang, Q Qiu
2018 24th International Conference on Pattern Recognition (ICPR), 3710-3715, 2018
32018
Dynamic Reconfiguration of Thermoelectric Generators for Vehicle Radiators Energy Harvesting Under Location-Dependent Temperature Variations
J Kim, D Baek, C Ding, S Lin, D Shin, X Lin, Y Wang, YH Cho, SH Park, ...
32018
When sorting network meets parallel bitstreams: a fault-tolerant parallel ternary neural network accelerator based on stochastic computing
Y Zhang, S Lin, R Wang, Y Wang, Y Wang, W Qian, R Huang
2020 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2020
12020
ESMFL: Efficient and Secure Models for Federated Learning
S Lin, C Wang, H Li, J Deng, Y Wang, C Ding
arXiv preprint arXiv:2009.01867, 2020
2020
NS-KWS: joint optimization of near-sensor processing architecture and low-precision GRU for always-on keyword spotting
Q Li, S Lin, C Liu, Y Liu, F Qiao, Y Wang, H Yang
Proceedings of the ACM/IEEE International Symposium on Low Power Electronics …, 2020
2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices
X Ma, W Niu, T Zhang, S Liu, FM Guo, S Lin, H Li, X Chen, J Tang, K Ma, ...
arXiv preprint arXiv:2001.07710, 2020
2020
DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks.
A Ren, T Zhang, Y Wang, S Lin, P Dong, YK Chen, Y Xie, Y Wang
AAAI, 5495-5502, 2020
2020
A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation
G Yuan, X Ma, S Lin, Z Li, C Ding
arXiv preprint arXiv:1912.05416, 2019
2019
Deep Compressed Pneumonia Detection for Low-Power Embedded Devices
H Li, S Lin, N Liu, C Ding, Y Wang
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and …, 2019
2019
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Artículos 1–20