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Word2rate: training and evaluating multiple word embeddings as statistical transitions


Apr 16, 2021
Gary Phua, Shaowei Lin, Dario Poletti


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Dependently Typed Knowledge Graphs


Mar 08, 2020
Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin


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Biologically Plausible Sequence Learning with Spiking Neural Networks


Nov 25, 2019
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin

* Accepted for publication in the Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI-20) 

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Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks


Nov 21, 2017
Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin


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Deep Activity Recognition Models with Triaxial Accelerometers


Oct 25, 2016
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee-Pink Tan


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Mobile Big Data Analytics Using Deep Learning and Apache Spark


Feb 23, 2016
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han

* IEEE Network, vol. 30, no. 3, pp. 22-29, June 2016 

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Marginal likelihood and model selection for Gaussian latent tree and forest models


Dec 23, 2015
Mathias Drton, Shaowei Lin, Luca Weihs, Piotr Zwiernik


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Toward a Robust Sparse Data Representation for Wireless Sensor Networks


Aug 02, 2015
Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato

* IEEE 40th Conference on Local Computer Networks (LCN), Clearwater Beach, FL, 2015, pp. 117-124 
* 8 pages 

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Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications


Mar 19, 2015
Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan

* IEEE Communications Surveys & Tutorials, vol. 16, no. 4, pp. 1996-2018, Fourthquarter 2014 
* Accepted for publication in IEEE Communications Surveys and Tutorials 

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