47 citations · 135 across the 18 of their papers we have counts for
18 papers
Tensor train methods for high-dimensional nonlinear filtering problems with correlated noise
Yuhua Meng, Stephen S. -T. Yau, Zhiwen Zhang
Nonlinear filtering with correlated noise leads to a Duncan-Mortensen-Zakai (DMZ) equation in the form of a stochastic partial differential equation (SPDE). Unlike the independent…
Inverted repeats in coronavirus SARS-CoV-2 genome and implications in evolution
Changchuan Yin, Stephen S. -T. Yau
The coronavirus disease (COVID-19) pandemic, caused by the coronavirus SARS-CoV-2, has caused 60 millions of infections and 1.38 millions of fatalities. Genomic analysis of SARS-Co…
Solving high-dimensional nonlinear filtering problems using a tensor train decomposition method
Sijing Li, Zhongjian Wang, Stephen S. T. Yau +1
In this paper, we propose an efficient numerical method to solve high-dimensional nonlinear filtering (NLF) problems. Specifically, we use the tensor train decomposition method to…
Microwave Integrated Circuits Design with Relational Induction Neural Network
Jie Liu, Zhi-Xi Chen, Wen-Hui Dong +7
The automation design of microwave integrated circuits (MWIC) has long been viewed as a fundamental challenge for artificial intelligence owing to its larger solution space and str…
Whole genome single nucleotide polymorphism genotyping of Staphylococcus aureus
Changchuan Yin, Stephen S. -T. Yau
Next-generation sequencing technology enables routine detection of bacterial pathogens for clinical diagnostics and genetic research. Whole genome sequencing has been of importance…
Complete Weight Distribution and MacWilliams Identities for Asymmetric Quantum Codes
Chuangqiang Hu, Shudi Yang, Stephen S. -T. Yau
In 1997, Shor and Laflamme defined the weight enumerators for quantum error-correcting codes and derived a MacWilliams identity. We extend their work by introducing our double weig…