Shaowei Lin

Publication Activity (10 Years)

Years Active: 2006-2021
Publications (10 Years): 19

Top Topics

Markov Decision Process

Sensor Networks

Data Representations

Biologically Plausible

Top Venues

Publications

Gary Phua, Shaowei Lin, Dario Poletti
Word2rate: training and evaluating multiple word embeddings as statistical transitions. CoRR (2021)
Shaohan Zhang, Zhenchang Zhang, Zelong Chen, Shaowei Lin, Ziyan Xie
A novel method of mental fatigue detection based on CNN and LSTM. Int. J. Comput. Sci. Eng. 24 (3) (2021)
Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. Blockchain (2021)
Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. CoRR (2021)
Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin
Dependently Typed Knowledge Graphs. CoRR (2020)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI (2020)
Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang
An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. A-SSCC (2020)
Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR (2019)
Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek
Attention-based Graph Convolutional Network for Recommendation System. ICASSP (2019)
Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. AAAI (2018)
Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin
Deep fusion of heterogeneous sensor data. ICASSP (2017)
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Dong In Kim
Fast Adaptation of Activity Sensing Policies in Mobile Devices. IEEE Trans. Veh. Technol. 66 (7) (2017)
Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek
Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. IEEE J. Sel. Top. Signal Process. 11 (3) (2017)
Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. CoRR (2017)
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han
Mobile big data analytics using deep learning and apache spark. IEEE Netw. 30 (3) (2016)
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee-Pink Tan
Deep Activity Recognition Models with Triaxial Accelerometers. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments (2016)
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Dong In Kim
Fast Adaptation of Activity Sensing Policies in Mobile Devices. CoRR (2016)
Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han
Mobile Big Data Analytics Using Deep Learning and Apache Spark. CoRR (2016)
Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan
Rate-distortion Balanced Data Compression for Wireless Sensor Networks. CoRR (2016)
Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee Pink Tan
Deep Activity Recognition Models with Triaxial Accelerometers. CoRR (2015)
Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey. CoRR (2015)
Mohammad Abu Alsheikh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
Toward a robust sparse data representation for wireless sensor networks. LCN (2015)
Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao
Multimodal fusion for sensor data using stacked autoencoders. ISSNIP (2015)
Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
Toward a Robust Sparse Data Representation for Wireless Sensor Networks. CoRR (2015)
Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin
Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey. IEEE Commun. Surv. Tutorials 17 (3) (2015)
Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
Area coverage under low sensor density. SECON (2014)
Pengfei Zhang, Jing Yang Koh, Shaowei Lin, Ido Nevat
Distributed event detection under Byzantine attack in wireless sensor networks. ISSNIP (2014)
Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. CoRR (2014)
Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
Area Coverage Under Low Sensor Density. CoRR (2014)
Shaowei Lin, Caroline Uhler, Bernd Sturmfels, Peter Bühlmann
Hypersurfaces and Their Singularities in Partial Correlation Testing. Found. Comput. Math. 14 (5) (2014)
Liang Ze Wong, Huiling Chen, Shaowei Lin, Daniel Chongli Chen
Imputing missing values in sensor networks using sparse data representations. MSWiM (2014)
Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee Pink Tan
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. IEEE Commun. Surv. Tutorials 16 (4) (2014)
Mohammad Abu Alsheikh, Puay Kai Poh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
Efficient data compression with error bound guarantee in wireless sensor networks. MSWiM (2014)
Mohammad Abu Alsheikh, Puay Kai Poh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
Efficient Data Compression with Error Bound Guarantee in Wireless Sensor Networks. CoRR (2014)
Gareth W. Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui
Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks. ISSNIP (2014)
Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem. IEEE Trans. Inf. Theory 59 (7) (2013)
Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
Capacity Pre-Log of Noncoherent SIMO Channels via Hironaka's Theorem CoRR (2012)
Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
Noncoherent SIMO Pre-Log via Resolution of Singularities CoRR (2011)
Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
Noncoherent SIMO pre-log via resolution of singularities. ISIT (2011)
Shaowei Lin, Bernd Sturmfels, Zhiqiang Xu
Marginal Likelihood Integrals for Mixtures of Independence Models. J. Mach. Learn. Res. 10 (2009)
Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang
Block diagonal geometric mean decomposition (BD-GMD) for MIMO broadcast channels. IEEE Trans. Wirel. Commun. 7 (7) (2008)
Shaowei Lin, Bernd Sturmfels
Polynomial relations among principal minors of a 4x4-matrix CoRR (2008)
Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang
MIMO Broadcast Communications Using Block-Diagonal Uniform Channel Decomposition (BD-UCD). PIMRC (2006)
Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang
Block-Diagonal Geometric Mean Decomposition (BD-GMD) for Multiuser MIMO Broadcast Channels. PIMRC (2006)