Ning Liu
Ning Liu
northeastern university
Dirección de correo verificada de northeastern.edu
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Citado por
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Año
CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices
C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ...
Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017
1692017
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
1342017
Deep reinforcement learning for dynamic treatment regimes on medical registry data
Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang
2017 IEEE International Conference on Healthcare Informatics (ICHI), 380-385, 2017
552017
AutoCompress: An automatic DNN structured pruning framework for ultra-high compression rates
N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4876-4883, 2020
372020
Vibnn: Hardware acceleration of bayesian neural networks
R Cai, A Ren, N Liu, C Ding, L Wang, X Qian, M Pedram, Y Wang
ACM SIGPLAN Notices 53 (2), 476-488, 2018
352018
REQ-YOLO: A resource-aware, efficient quantization framework for object detection on FPGAs
C Ding, S Wang, N Liu, K Xu, Y Wang, Y Liang
Proceedings of the 2019 ACM/SIGDA International Symposium on Field …, 2019
282019
Multisource indoor energy harvesting for nonvolatile processors
C Ding, N Liu, Y Wang, J Li, S Heidari, J Hu, Y Liu
IEEE Design & Test 34 (3), 42-49, 2017
232017
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
222018
Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation
H Li, R Cai, N Liu, X Lin, Y Wang
Nano communication networks 16, 81-90, 2018
162018
Structured weight matrices-based hardware accelerators in deep neural networks: Fpgas and asics
C Ding, A Ren, G Yuan, X Ma, J Li, N Liu, B Yuan, Y Wang
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 353-358, 2018
132018
A stochastic-computing based deep learning framework using adiabatic quantum-flux-parametron superconducting technology
R Cai, A Ren, O Chen, N Liu, C Ding, X Qian, J Han, W Luo, N Yoshikawa, ...
2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture …, 2019
122019
Data center power management for regulation service using neural network-based power prediction
N Liu, X Lin, Y Wang
2017 18th International Symposium on Quality Electronic Design (ISQED), 367-372, 2017
122017
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
112019
Learning the dynamic treatment regimes from medical registry data through deep Q-network
N Liu, Y Liu, B Logan, Z Xu, J Tang, Y Wang
Scientific reports 9 (1), 1-10, 2019
102019
Structadmm: A systematic, high-efficiency framework of structured weight pruning for dnns
T Zhang, S Ye, K Zhang, X Ma, N Liu, L Zhang, J Tang, K Ma, X Lin, ...
arXiv preprint arXiv:1807.11091, 2018
92018
A majority logic synthesis framework for adiabatic quantum-flux-parametron superconducting circuits
R Cai, O Chen, A Ren, N Liu, C Ding, N Yoshikawa, Y Wang
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 189-194, 2019
82019
Neural network-based prediction algorithms for in-door multi-source energy harvesting system for non-volatile processors
N Liu, C Ding, Y Wang, J Hu
2016 International Great Lakes Symposium on VLSI (GLSVLSI), 275-280, 2016
62016
AutoSlim: An automatic DNN structured pruning framework for ultra-high compression rates
N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye
arXiv preprint arXiv:1907.03141, 2019
52019
A buffer and splitter insertion framework for adiabatic quantum-flux-parametron superconducting circuits
R Cai, O Chen, A Ren, N Liu, N Yoshikawa, Y Wang
2019 IEEE 37th International Conference on Computer Design (ICCD), 429-436, 2019
32019
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
12019
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Artículos 1–20