Shaowei Lin - RankMe

46 papers A* 2A 2B 5Misc 2Journal 29Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A benchmark for vericoding: formally verified program synthesis. CoRR Sergiu Bursuc, Theodore Ehrenborg, Shaowei Lin, Lacramioara Astefanoaei, Ionel Emilian Chiosa, Jure Kukovec, Alok Singh, Oliver Butterley, Adem Bizid, Quinn Dougherty, Miranda Zhao, Max Tan, Max Tegmark
2025	J	`jnl`	Action-Driven Processes for Continuous-Time Control. CoRR Ruimin He, Shaowei Lin
2021	—	`conf`	A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. Blockchain Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras
2021	J	`jnl`	A Blockchain-Based Approach for Collaborative Formalization of Mathematics and Programs. CoRR Jin Xing Lim, Barnabé Monnot, Shaowei Lin, Georgios Piliouras
2021	J	`jnl`	A novel method of mental fatigue detection based on CNN and LSTM. Int. J. Comput. Sci. Eng. Shaohan Zhang, Zhenchang Zhang, Zelong Chen, Shaowei Lin, Ziyan Xie
2021	J	`jnl`	Word2rate: training and evaluating multiple word embeddings as statistical transitions. CoRR Gary Phua, Shaowei Lin, Dario Poletti
2020	—	`conf`	An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity. A-SSCC Jiajun Wu, Xuan Huang, Le Yang, Liang Wang, Jipeng Wang, Zuozhu Liu, Kwen-Siong Chong, Shaowei Lin, Chao Wang
2020	A*	`conf`	Biologically Plausible Sequence Learning with Spiking Neural Networks. AAAI Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
2020	J	`jnl`	Dependently Typed Knowledge Graphs. CoRR Zhangsheng Lai, Aik Beng Ng, Liang Ze Wong, Simon See, Shaowei Lin
2019	Misc	`conf`	Attention-based Graph Convolutional Network for Recommendation System. ICASSP Chenyuan Feng, Zuozhu Liu, Shaowei Lin, Tony Q. S. Quek
2019	J	`jnl`	Biologically Plausible Sequence Learning with Spiking Neural Networks. CoRR Zuozhu Liu, Thiparat Chotibut, Christopher Hillar, Shaowei Lin
2018	A*	`conf`	Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. AAAI Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
2017	Misc	`conf`	Deep fusion of heterogeneous sensor data. ICASSP Zuozhu Liu, Wenyu Zhang, Tony Q. S. Quek, Shaowei Lin
2017	J	`jnl`	Fast Adaptation of Activity Sensing Policies in Mobile Devices. IEEE Trans. Veh. Technol. Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Dong In Kim
2017	J	`jnl`	Heterogeneous Sensor Data Fusion By Deep Multimodal Encoding. IEEE J. Sel. Top. Signal Process. Zuozhu Liu, Wenyu Zhang, Shaowei Lin, Tony Q. S. Quek
2017	J	`jnl`	Variational Probability Flow for Biologically Plausible Training of Deep Neural Networks. CoRR Zuozhu Liu, Tony Q. S. Quek, Shaowei Lin
2016	—	`conf`	Deep Activity Recognition Models with Triaxial Accelerometers. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee-Pink Tan
2016	J	`jnl`	Fast Adaptation of Activity Sensing Policies in Mobile Devices. CoRR Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Dong In Kim
2016	J	`jnl`	Mobile Big Data Analytics Using Deep Learning and Apache Spark. CoRR Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han
2016	J	`jnl`	Mobile big data analytics using deep learning and apache spark. IEEE Netw. Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han
2016	J	`jnl`	Rate-distortion Balanced Data Compression for Wireless Sensor Networks. CoRR Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan
2015	J	`jnl`	Deep Activity Recognition Models with Triaxial Accelerometers. CoRR Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee Pink Tan
2015	J	`jnl`	Markov Decision Processes With Applications in Wireless Sensor Networks: A Survey. IEEE Commun. Surv. Tutorials Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin
2015	J	`jnl`	Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey. CoRR Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Hwee-Pink Tan, Shaowei Lin
2015	—	`conf`	Multimodal fusion for sensor data using stacked autoencoders. ISSNIP Pengfei Zhang, Xiaoping Ma, Wenyu Zhang, Shaowei Lin, Huiling Chen, Arthur Lee Yirun, Gaoxi Xiao
2015	J	`jnl`	Toward a Robust Sparse Data Representation for Wireless Sensor Networks. CoRR Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
2015	B	`conf`	Toward a robust sparse data representation for wireless sensor networks. LCN Mohammad Abu Alsheikh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
2014	J	`jnl`	Area Coverage Under Low Sensor Density. CoRR Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
2014	B	`conf`	Area coverage under low sensor density. SECON Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato
2014	—	`conf`	Distributed event detection under Byzantine attack in wireless sensor networks. ISSNIP Pengfei Zhang, Jing Yang Koh, Shaowei Lin, Ido Nevat
2014	J	`jnl`	Efficient Data Compression with Error Bound Guarantee in Wireless Sensor Networks. CoRR Mohammad Abu Alsheikh, Puay Kai Poh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
2014	A	`conf`	Efficient data compression with error bound guarantee in wireless sensor networks. MSWiM Mohammad Abu Alsheikh, Puay Kai Poh, Shaowei Lin, Hwee Pink Tan, Dusit Niyato
2014	J	`jnl`	Hypersurfaces and Their Singularities in Partial Correlation Testing. Found. Comput. Math. Shaowei Lin, Caroline Uhler, Bernd Sturmfels, Peter Bühlmann
2014	A	`conf`	Imputing missing values in sensor networks using sparse data representations. MSWiM Liang Ze Wong, Huiling Chen, Shaowei Lin, Daniel Chongli Chen
2014	J	`jnl`	Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. IEEE Commun. Surv. Tutorials Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee Pink Tan
2014	J	`jnl`	Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications. CoRR Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan
2014	—	`conf`	Modelling threshold exceedence levels for spatial stochastic processes observed by sensor networks. ISSNIP Gareth W. Peters, Ido Nevat, Shaowei Lin, Tomoko Matsui
2013	J	`jnl`	Capacity Pre-Log of Noncoherent SIMO Channels Via Hironaka's Theorem. IEEE Trans. Inf. Theory Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
2012	J	`jnl`	Capacity Pre-Log of Noncoherent SIMO Channels via Hironaka's Theorem CoRR Veniamin I. Morgenshtern, Erwin Riegler, Wei Yang, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
2011	J	`jnl`	Noncoherent SIMO Pre-Log via Resolution of Singularities CoRR Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
2011	B	`conf`	Noncoherent SIMO pre-log via resolution of singularities. ISIT Erwin Riegler, Veniamin I. Morgenshtern, Giuseppe Durisi, Shaowei Lin, Bernd Sturmfels, Helmut Bölcskei
2009	J	`jnl`	Marginal Likelihood Integrals for Mixtures of Independence Models. J. Mach. Learn. Res. Shaowei Lin, Bernd Sturmfels, Zhiqiang Xu
2008	J	`jnl`	Block diagonal geometric mean decomposition (BD-GMD) for MIMO broadcast channels. IEEE Trans. Wirel. Commun. Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang
2008	J	`jnl`	Polynomial relations among principal minors of a 4x4-matrix CoRR Shaowei Lin, Bernd Sturmfels
2006	B	`conf`	Block-Diagonal Geometric Mean Decomposition (BD-GMD) for Multiuser MIMO Broadcast Channels. PIMRC Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang
2006	B	`conf`	MIMO Broadcast Communications Using Block-Diagonal Uniform Channel Decomposition (BD-UCD). PIMRC Shaowei Lin, Winston W. L. Ho, Ying-Chang Liang