Shaowei Lin

发表

Towards a robust sparse data representation in wireless sensor networks

Mohammad Abu Alsheikh, D. Niyato, H. Tan, 2020 .

Institutional Knowledge at Singapore Management University Towards a robust sparse data representation in wireless sensor networks

Mohammad Abu Alsheikh, D. Niyato, Shaowei Lin, 2019 .

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

Hwee Pink Tan, Dusit Niyato, Mohammad Abu Alsheikh, 2014, IEEE Communications Surveys & Tutorials.

Area coverage under low sensor density

Hwee Pink Tan, Dusit Niyato, Mohammad Abu Alsheikh, 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

Attention-based Graph Convolutional Network for Recommendation System

Tony Q. S. Quek, Zuozhu Liu, Shaowei Lin, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Distributed event detection under Byzantine attack in wireless sensor networks

Pengfei Zhang, Ido Nevat, Shaowei Lin, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey

Hwee Pink Tan, Dinh Thai Hoang, Dusit Niyato, 2015, IEEE Communications Surveys & Tutorials.

Deep Activity Recognition Models with Triaxial Accelerometers pdf

Hwee Pink Tan, Linda Doyle, Dusit Niyato, 2015, AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments.

Mobile big data analytics using deep learning and apache spark

Hwee Pink Tan, Zhu Han, Dusit Niyato, 2016, IEEE Network.

Imputing missing values in sensor networks using sparse data representations

Huiling Chen, Shaowei Lin, Liang Ze Wong, 2014, MSWiM '14.

Block diagonal geometric mean decomposition (BD-GMD) for MIMO broadcast channels

Ying-Chang Liang, Shaowei Lin, Winston W. L. Ho, 2008, IEEE Transactions on Wireless Communications.

Efficient data compression with error bound guarantee in wireless sensor networks

Hwee Pink Tan, Dusit Niyato, Mohammad Abu Alsheikh, 2014, MSWiM '14.

Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding

Wenyu Zhang, Tony Q. S. Quek, Zuozhu Liu, 2017, IEEE Journal of Selected Topics in Signal Processing.

Noncoherent SIMO pre-log via resolution of singularities

Erwin Riegler, Helmut Bölcskei, Bernd Sturmfels, 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

Toward a robust sparse data representation for wireless sensor networks

Hwee Pink Tan, Dusit Niyato, Mohammad Abu Alsheikh, 2015, 2015 IEEE 40th Conference on Local Computer Networks (LCN).

Deep fusion of heterogeneous sensor data

Wenyu Zhang, Tony Q. S. Quek, Zuozhu Liu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Multimodal fusion for sensor data using stacked autoencoders

Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Word2rate: training and evaluating multiple word embeddings as statistical transitions pdf

Dario Poletti, Gary Phua, Shaowei Lin, 2021, ArXiv.

Fast Adaptation of Activity Sensing Policies in Mobile Devices

Hwee Pink Tan, Dong In Kim, Dusit Niyato, 2016, IEEE Transactions on Vehicular Technology.

Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem

Erwin Riegler, Helmut Bölcskei, Bernd Sturmfels, 2012, IEEE Transactions on Information Theory.

Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks

Tony Q. S. Quek, Zuozhu Liu, Shaowei Lin, 2017, AAAI.

Rate-Distortion Balanced Data Compression for Wireless Sensor Networks

Hwee Pink Tan, Dusit Niyato, Mohammad Abu Alsheikh, 2016, IEEE Sensors Journal.