MIMO Broadcast Communications Using Block-Diagonal Uniform Channel Decomposition (BD-UCD). - Shaowei Lin; Winston W. L. Ho; Ying-Chang Liang (PIMRC, 2006)

Block-Diagonal Geometric Mean Decomposition (BD-GMD) for Multiuser MIMO Broadcast Channels. - Shaowei Lin; Winston W. L. Ho; Ying-Chang Liang (PIMRC, 2006)

Polynomial relations among principal minors of a 4x4-matrix - Shaowei Lin; Bernd Sturmfels (CoRR, 2008)

Block diagonal geometric mean decomposition (BD-GMD) for MIMO broadcast channels. - Shaowei Lin; Winston W. L. Ho; Ying-Chang Liang (IEEE Trans. Wirel. Commun., 2008)

Marginal Likelihood Integrals for Mixtures of Independence Models. - Shaowei Lin; Bernd Sturmfels; Zhiqiang Xu (J. Mach. Learn. Res., 2009)

Noncoherent SIMO pre-log via resolution of singularities. - Erwin Riegler; Veniamin I. Morgenshtern; Giuseppe Durisi; Shaowei Lin; Bernd Sturmfels; Helmut Bölcskei (ISIT, 2011)

Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem. - Veniamin I. Morgenshtern; Erwin Riegler; Wei Yang 001; Giuseppe Durisi; Shaowei Lin; Bernd Sturmfels; Helmut Bölcskei (IEEE Trans. Inf. Theory, 2013)

Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks. - Gareth W. Peters; Ido Nevat; Shaowei Lin; Tomoko Matsui (ISSNIP, 2014)

Distributed event detection under Byzantine attack in wireless sensor networks. - Pengfei Zhang 001; Jing Yang Koh; Shaowei Lin; Ido Nevat (ISSNIP, 2014)

Efficient data compression with error bound guarantee in wireless sensor networks. - Mohammad Abu Alsheikh; Puay Kai Poh; Shaowei Lin; Hwee Pink Tan; Dusit Niyato (MSWiM, 2014)

Imputing missing values in sensor networks using sparse data representations. - Liang Ze Wong; Huiling Chen; Shaowei Lin; Daniel Chongli Chen (MSWiM, 2014)

Area coverage under low sensor density. - Mohammad Abu Alsheikh; Shaowei Lin; Hwee-Pink Tan; Dusit Niyato (SECON, 2014)

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. - Mohammad Abu Alsheikh; Shaowei Lin; Dusit Niyato; Hwee Pink Tan (IEEE Commun. Surv. Tutorials, 2014)

Hypersurfaces and Their Singularities in Partial Correlation Testing. - Shaowei Lin; Caroline Uhler; Bernd Sturmfels; Peter Bühlmann (Found. Comput. Math., 2014)

Multimodal fusion for sensor data using stacked autoencoders. - Pengfei Zhang 001; Xiaoping Ma; Wenyu Zhang 003; Shaowei Lin; Huiling Chen; Arthur Lee Yirun; Gaoxi Xiao (ISSNIP, 2015)

Toward a robust sparse data representation for wireless sensor networks. - Mohammad Abu Alsheikh; Shaowei Lin; Hwee Pink Tan; Dusit Niyato (LCN, 2015)

Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey. - Mohammad Abu Alsheikh; Dinh Thai Hoang; Dusit Niyato; Hwee-Pink Tan; Shaowei Lin (IEEE Commun. Surv. Tutorials, 2015)

Deep Activity Recognition Models with Triaxial Accelerometers. - Mohammad Abu Alsheikh; Ahmed Selim; Dusit Niyato; Linda Doyle; Shaowei Lin; Hwee-Pink Tan (AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2016)

Rate-distortion Balanced Data Compression for Wireless Sensor Networks. - Mohammad Abu Alsheikh; Shaowei Lin; Dusit Niyato; Hwee-Pink Tan (CoRR, 2016)

Mobile big data analytics using deep learning and apache spark. - Mohammad Abu Alsheikh; Dusit Niyato; Shaowei Lin; Hwee-Pink Tan; Zhu Han 001 (IEEE Netw., 2016)

Deep fusion of heterogeneous sensor data. - Zuozhu Liu; Wenyu Zhang 003; Tony Q. S. Quek; Shaowei Lin (ICASSP, 2017)

Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. - Zuozhu Liu; Wenyu Zhang 003; Shaowei Lin; Tony Q. S. Quek (IEEE J. Sel. Top. Signal Process., 2017)

Fast Adaptation of Activity Sensing Policies in Mobile Devices. - Mohammad Abu Alsheikh; Dusit Niyato; Shaowei Lin; Hwee-Pink Tan; Dong In Kim (IEEE Trans. Veh. Technol., 2017)

Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. - Zuozhu Liu; Tony Q. S. Quek; Shaowei Lin (AAAI, 2018)

Attention-based Graph Convolutional Network for Recommendation System. - Chenyuan Feng; Zuozhu Liu; Shaowei Lin; Tony Q. S. Quek (ICASSP, 2019)

Biologically Plausible Sequence Learning with Spiking Neural Networks. - Zuozhu Liu; Thiparat Chotibut; Christopher Hillar; Shaowei Lin (AAAI, 2020)

An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. - Jiajun Wu 006; Xuan Huang; Le Yang; Liang Wang; Jipeng Wang; Zuozhu Liu; Kwen-Siong Chong; Shaowei Lin; Chao Wang 096 (A-SSCC, 2020)

Dependently Typed Knowledge Graphs. - Zhangsheng Lai; Aik Beng Ng; Liang Ze Wong; Simon See; Shaowei Lin (CoRR, 2020)

A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. - Jin Xing Lim; Barnabé Monnot; Shaowei Lin; Georgios Piliouras (Blockchain, 2021)

Word2rate: training and evaluating multiple word embeddings as statistical transitions. - Gary Phua; Shaowei Lin; Dario Poletti (CoRR, 2021)

A novel method of mental fatigue detection based on CNN and LSTM. - Shaohan Zhang; Zhenchang Zhang; Zelong Chen; Shaowei Lin; Ziyan Xie (Int. J. Comput. Sci. Eng., 2021)