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06/05/2023
Robust Statistical Inference for Large-dimensional Matrix-valued Time Series via Iterative Huber Regression
Matrix factor model is drawing growing attention for simultaneous two-wa...
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01/01/2023
Iterative Least Squares Algorithm for Large-dimensional Matrix Factor Model by Random Projection
The matrix factor model has drawn growing attention for its advantage in...
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12/22/2022
Sub-structure characteristic mode analysis of microstrip antennas using a global multi-trace formulation
A characteristic mode (CM) method that relies on a global multi-trace fo...
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10/06/2022
A Coupled Hybridizable Discontinuous Galerkin and Boundary Integral Method for Analyzing Electromagnetic Scattering
A coupled hybridizable discontinuous Galerkin (HDG) and boundary integra...
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01/25/2022
Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit
Automatic detection of polyps is challenging because different polyps va...
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10/31/2021
Shape Programmable Magnetic Pixel Soft Robot
Magnetic response soft robot realizes programmable shape regulation with...
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08/05/2019
Some Developments in Clustering Analysis on Stochastic Processes
We review some developments on clustering stochastic processes and come ...
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09/11/2018
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
Technical and fundamental analysis are traditional tools used to analyze...
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04/13/2018
Clustering Analysis on Locally Asymptotically Self-similar Processes
In this paper, we design algorithms for clustering locally asymptoticall...
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01/27/2018
Covariance-based Dissimilarity Measures Applied to Clustering Wide-sense Stationary Ergodic Processes
We introduce a new unsupervised learning problem: clustering wide-sense ...
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03/31/2017
Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders
While recent neural encoder-decoder models have shown great promise in m...
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10/10/2016
