Lin Ning

Works (6)

Updated: July 5th, 2023 15:34

2021 journal article

General Reuse-Centric CNN Accelerator

IEEE TRANSACTIONS ON COMPUTERS, 71(4), 880–891.

By: N. Cicek*, L. Ning n, O. Ozturk* & X. Shen n 

author keywords: Neurons; Hardware; Convolution; Engines; Software; Acceleration; IEEE Senior Members; CNN; reuse-centric; accelerator
TL;DR: The first general reuse-centric accelerator for CNN inferences is introduced, able to discover similarities among arbitrary patches within an image or across independent images, and translate them into computation time and energy savings. (via Semantic Scholar)
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7. Affordable and Clean Energy (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: March 11, 2022

2021 article

Recurrent Neural Networks Meet Context-Free Grammar: Two Birds with One Stone

2021 21ST IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2021), pp. 1078–1083.

By: H. Guan *, U. Chaudhary*, Y. Xu n, L. Ning n, L. Zhang * & X. Shen n 

author keywords: recurrent neural networks; data compression; context free grammar; tokenization
TL;DR: This work introduces CFG-guided compressed learning, an approach that creatively integrates Context-Free Grammar (CFG) and online tokenization into RNN learning and inference for streaming inputs through a hierarchical compression algorithm. (via Semantic Scholar)
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4. Quality Education (OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: May 2, 2022

2019 article

Adaptive Deep Reuse: Accelerating CNN Training on the Fly

2019 IEEE 35TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2019), pp. 1538–1549.

By: L. Ning n, H. Guan n & X. Shen n 

author keywords: CNN; neuron vector; similarity; training; adaptive; deep reuse
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Sources: Web Of Science, NC State University Libraries
Added: August 19, 2019

2018 journal article

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine

NEURAL NETWORKS, 108, 399–410.

By: L. Ning n, R. Pittman  n & X. Shen n 

author keywords: RBM; Contrastive Divergence; Acceleration
MeSH headings : Algorithms; Databases, Factual; Deep Learning / trends; Machine Learning / trends; Neural Networks, Computer; Time Factors
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Sources: Web Of Science, NC State University Libraries
Added: December 3, 2018

2017 conference paper

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction

ACM SIGPLAN Notices, 52(6), 33–48.

By: Y. Ding n, L. Ning n, H. Guan n & X. Shen n 

Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018

2017 article

LCD: A Fast Contrastive Divergence Based Algorithm for Restricted Boltzmann Machine

2017 17TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), pp. 1015–1020.

By: L. Ning n, R. Pittman n & X. Shen n 

TL;DR: Lean Contrastive Divergence (LCD) is proposed, a modified contrastive divergence learning algorithm, to accelerate RBM learning and prediction without changing the results. (via Semantic Scholar)
UN Sustainable Development Goals Color Wheel
UN Sustainable Development Goal Categories
Sources: Web Of Science, NC State University Libraries
Added: August 6, 2018

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