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ORCIDShaowei Lin
Person information
- affiliation: Singapore University of Technology and Design, Engineering Systems and Design Pillar
- affiliation: A*STAR, Institute for Infocomm Research, Singapore
- affiliation: University of California, Berkeley, Dept. of Mathematics, CA, USA
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2020 – today
- 2021
[j10]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): 290-300 (2021)- [c17]Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras:
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. Blockchain 2021: 321-326 - [i17]Gary Phua, Shaowei Lin, Dario Poletti:
Word2rate: training and evaluating multiple word embeddings as statistical transitions. CoRR abs/2104.08173 (2021) - [i16]Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras:
A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. CoRR abs/2111.10824 (2021) - 2020
- [c16]Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI 2020: 1316-1323 - [c15]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: 1-4 - [i15]Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin:
Dependently Typed Knowledge Graphs. CoRR abs/2003.03785 (2020)
2010 – 2019
- 2019
- [c14]Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek:
Attention-based Graph Convolutional Network for Recommendation System. ICASSP 2019: 7560-7564 - [i14]Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin:
Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR abs/1911.10943 (2019) - 2018
- [c13]Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. AAAI 2018: 3698-3705 - 2017
- [j9]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): 479-491 (2017) - [j8]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): 5995-6008 (2017) - [c12]Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin:
Deep fusion of heterogeneous sensor data. ICASSP 2017: 5965-5969 - [i13]Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin:
Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. CoRR abs/1711.07732 (2017) - 2016
- [j7]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): 22-29 (2016) - [c11]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 - [i12]Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han:
Mobile Big Data Analytics Using Deep Learning and Apache Spark. CoRR abs/1602.07031 (2016) - [i11]Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan:
Rate-distortion Balanced Data Compression for Wireless Sensor Networks. CoRR abs/1604.00736 (2016) - [i10]Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Dong In Kim:
Fast Adaptation of Activity Sensing Policies in Mobile Devices. CoRR abs/1611.03202 (2016) - 2015
- [j6]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): 1239-1267 (2015) - [c10]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: 1-2 - [c9]Mohammad Abu Alsheikh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato:
Toward a robust sparse data representation for wireless sensor networks. LCN 2015: 117-124 - [i9]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 abs/1501.00644 (2015) - [i8]Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato:
Toward a Robust Sparse Data Representation for Wireless Sensor Networks. CoRR abs/1508.00230 (2015) - [i7]Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee Pink Tan:
Deep Activity Recognition Models with Triaxial Accelerometers. CoRR abs/1511.04664 (2015) - 2014
- [j5]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): 1996-2018 (2014) - [j4]Shaowei Lin, Caroline Uhler, Bernd Sturmfels, Peter Bühlmann:
Hypersurfaces and Their Singularities in Partial Correlation Testing. Found. Comput. Math. 14(5): 1079-1116 (2014) - [c8]Gareth W. Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui:
Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks. ISSNIP 2014: 1-7 - [c7]Pengfei Zhang, Jing Yang Koh, Shaowei Lin, Ido Nevat:
Distributed event detection under Byzantine attack in wireless sensor networks. ISSNIP 2014: 1-6 - [c6]Liang Ze Wong, Huiling Chen, Shaowei Lin, Daniel Chongli Chen:
Imputing missing values in sensor networks using sparse data representations. MSWiM 2014: 227-230 - [c5]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: 307-311 - [c4]Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato:
Area coverage under low sensor density. SECON 2014: 173-175 - [i6]Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato:
Area Coverage Under Low Sensor Density. CoRR abs/1405.4378 (2014) - [i5]Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan:
Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. CoRR abs/1405.4463 (2014) - [i4]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 abs/1408.2948 (2014) - 2013
- [j3]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): 4213-4229 (2013) - 2012
- [i3]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 abs/1204.2775 (2012) - 2011
- [c3]Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Noncoherent SIMO pre-log via resolution of singularities. ISIT 2011: 2020-2024 - [i2]Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei:
Noncoherent SIMO Pre-Log via Resolution of Singularities. CoRR abs/1105.6009 (2011)
2000 – 2009
- 2009
- [j2]Shaowei Lin, Bernd Sturmfels, Zhiqiang Xu:
Marginal Likelihood Integrals for Mixtures of Independence Models. J. Mach. Learn. Res. 10: 1611-1631 (2009) - 2008
- [j1]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): 2778-2789 (2008) - [i1]Shaowei Lin, Bernd Sturmfels:
Polynomial relations among principal minors of a 4x4-matrix. CoRR abs/0812.0601 (2008) - 2006
- [c2]Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang:
MIMO Broadcast Communications Using Block-Diagonal Uniform Channel Decomposition (BD-UCD). PIMRC 2006: 1-5 - [c1]Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang:
Block-Diagonal Geometric Mean Decomposition (BD-GMD) for Multiuser MIMO Broadcast Channels. PIMRC 2006: 1-5
Coauthor Index
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