Ho-Chun Wu

Orcid: 0000-0002-4555-3675

Affiliations:
  • University of Hong Kong, Hong Kong


According to our database1, Ho-Chun Wu authored at least 33 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex.
CoRR, 2024

MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images.
Biomed. Signal Process. Control., 2024

WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex.
IEEE Access, 2024

2023
MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images.
IEEE Trans. Image Process., 2023

2022
A Robust PAST-Based ESPRIT Algorithm With Variable Forgetting Factor and Regularization for Frequencies/Harmonics Estimation in Impulsive Noise.
IEEE Trans. Instrum. Meas., 2022

2021
A New Regularized Recursive Dynamic Factor Analysis With Variable Forgetting Factor and Subspace Dimension for Wireless Sensor Networks With Missing Data.
IEEE Trans. Instrum. Meas., 2021

2020
A Robust Statistical Approach to Distributed Power System State Estimation With Bad Data.
IEEE Trans. Smart Grid, 2020

A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications.
IEEE Trans. Neural Networks Learn. Syst., 2020

2019
A Multi-Laplacian Prior and Augmented Lagrangian Approach to the Exploratory Analysis of Time-Varying Gene and Transcriptional Regulatory Networks for Gene Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-Scale Systems.
IEEE Syst. J., 2019

2018
Novel Consensus Gene Selection Criteria for Distributed GPU Partial Least Squares-Based Gene Microarray Analysis in Diffused Large B Cell Lymphoma (DLBCL) and Related Findings.
IEEE ACM Trans. Comput. Biol. Bioinform., 2018

A Partial least squares-based regression approach for analysis of frontotemporal dementia gene markers in human brain gene microarray data.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Economic Index Forecasting via Multi-scale Recursive Dynamic Factor Analysis.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2018, 2018

2017
Automatic Extraction of Central Tendon of Rectus Femoris (CT-RF) in Ultrasound Images Using a New Intensity-Compensated Free-Form Deformation-Based Tracking Algorithm With Local Shape Refinement.
IEEE J. Biomed. Health Informatics, 2017

Dynamic gene regulatory network analysis using Saccharomyces cerevisiae large-scale time-course microarray data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

A new regularized recursive dynamic factor analysis with variable forgetting factor for wireless sensor networks with missing data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Dynamic gene and transcriptional regulatory networks inferring with multi-Laplacian prior from time-course gene microarray data.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

2016
A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A flexible and miniaturized wireless ECG recording system with metal-skin contacts input for wearable personalized healthcare.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Myocardial infarction detection and classification - A new multi-scale deep feature learning approach.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Marker gene identification for gene expression analysis - Review and new findings for Diffused Large B Cell Lymphoma (DLBCL).
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Bayesian unscented Kalman filter for state estimation of nonlinear and non-Gaussian systems.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
A Maximum A Posteriori Probability and Time-Varying Approach for Inferring Gene Regulatory Networks from Time Course Gene Microarray Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System.
IEEE Trans. Circuits Syst. II Express Briefs, 2015

A novel algorithm for time-varying gene regulatory networks identification with biological state change detection.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Large-scale dynamic gene regulatory networks analysis for time course DNA microarray data from C. elegans, preliminary results and findings.
Proceedings of the 2015 IEEE International Conference on Digital Signal Processing, 2015

2014
Reconstruction of gene regulatory networks from short time series high throughput data: Review and new findings.
Proceedings of the 19th International Conference on Digital Signal Processing, 2014

2013
New algorithms in factor analysis: applications, model selection and findings in bioinformatics.
PhD thesis, 2013

2012
A New Method for Preliminary Identification of Gene Regulatory Networks from Gene Microarray Cancer Data Using Ridge Partial Least Squares With Recursive Feature Elimination and Novel Brier and Occurrence Probability Measures.
IEEE Trans. Syst. Man Cybern. Part A, 2012

Robust Recursive Eigendecomposition and Subspace-Based Algorithms With Application to Fault Detection in Wireless Sensor Networks.
IEEE Trans. Instrum. Meas., 2012

Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges.
IEEE Signal Process. Mag., 2012

Robust Logistic Principal Component Regression for classification of data in presence of outliers.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012


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