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ORCIDHo-Chun Wu 0001
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- affiliation: University of Hong Kong, Hong Kong
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- H. C. Wu — disambiguation page
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2020 – today
- 2024
[j16]Ho Chun Wu
, Esther Hoi Shan Lau, Paul Chun Ho Yuen, Kevin Hung, John Kwok Tai Chui, Andrew Kwok Fai Lui:
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex. IEEE Access 12: 126611-126623 (2024)- [j15]Zikun Yang, Wenbo Qi, Shing-Chow Chan, Ho-Chun Wu:
MIB-Net: Balance the mutual information flow in deep learning network for multi-dimensional segmentation of COVID-19 CT images. Biomed. Signal Process. Control. 95: 106376 (2024) - [i2]Ho Chun Wu, Esther Hoi Shan Lau, Paul Yuen, Kevin Hung, John Kwok Tai Chui, Andrew Kwok Fai Lui:
WTTFNet: A Weather-Time-Trajectory Fusion Network for Pedestrian Trajectory Prediction in Urban Complex. CoRR abs/2405.18945 (2024) - 2023
- [j14]Wenbo Qi, Ho-Chun Wu, Shing-Chow Chan:
MDF-Net: A Multi-Scale Dynamic Fusion Network for Breast Tumor Segmentation of Ultrasound Images. IEEE Trans. Image Process. 32: 4842-4855 (2023) - 2022
- [j13]Jian-Qiang Lin, Shing-Chow Chan, Ho-Chun Wu:
A Robust PAST-Based ESPRIT Algorithm With Variable Forgetting Factor and Regularization for Frequencies/Harmonics Estimation in Impulsive Noise. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - 2021
- [j12]Jian-Qiang Lin, Ho-Chun Wu, Shing-Chow Chan:
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. 70: 1-13 (2021) - 2020
- [j11]Huiming Chen, Ho-Chun Wu, Shing-Chow Chan, Wong-Hing Lam:
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization With Applications. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4776-4790 (2020) - [j10]Cheuk Hei Ho, H. C. Wu, S. C. Chan, Yunhe Hou:
A Robust Statistical Approach to Distributed Power System State Estimation With Bad Data. IEEE Trans. Smart Grid 11(1): 517-527 (2020)
2010 – 2019
- 2019
- [j9]Shing-Chow Chan, Ho-Chun Wu, Cheuk Hei Ho, Li Zhang:
An Augmented Lagrangian Approach for Distributed Robust Estimation in Large-Scale Systems. IEEE Syst. J. 13(3): 2986-2997 (2019) - [j8]Li Zhang, Ho-Chun Wu, Cheuk Hei Ho, Shing-Chow Chan:
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. 16(6): 1816-1829 (2019) - [i1]Huiming Chen, H. C. Wu, S. C. Chan, Wong-Hing Lam:
A Stochastic Quasi-Newton Method for Large-Scale Nonconvex Optimization with Applications. CoRR abs/1912.04456 (2019) - 2018
- [j7]Ho-Chun Wu, Xi-Guang Wei, Shing-Chow Chan:
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. 15(6): 2039-2052 (2018) - [c15]Haoyi Yuan, Yang Yuan, H. C. Wu, Yuexian Zou:
Economic Index Forecasting via Multi-scale Recursive Dynamic Factor Analysis. AIMS 2018: 83-91 - [c14]Shing-Chow Chan, H. C. Wu, Jian-Qiang Lin, Z. G. Zhang:
A Partial least squares-based regression approach for analysis of frontotemporal dementia gene markers in human brain gene microarray data. DSP 2018: 1-5 - 2017
- [j6]Xiguang Wei, Jinyong Zhang, Shing-Chow Chan, Ho-Chun Wu, Yongjin Zhou, Yong-Ping Zheng:
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 21(4): 1058-1068 (2017) - [c13]Li Zhang, H. C. Wu, S. C. Chan, Chong Wang:
Dynamic gene and transcriptional regulatory networks inferring with multi-Laplacian prior from time-course gene microarray data. DSP 2017: 1-5 - [c12]Zejiang Hou, Ho-Chun Wu, Shing-Chow Chan:
Distributed optimal power flow: An Augmented Lagrangian-Sequential Quadratic Programming approach. ISCAS 2017: 1-4 - [c11]Jian-Qiang Lin, Ho-Chun Wu, Shing-Chow Chan:
A new regularized recursive dynamic factor analysis with variable forgetting factor for wireless sensor networks with missing data. ISCAS 2017: 1-4 - [c10]Li Zhang, H. C. Wu, Jian-Qiang Lin, S. C. Chan:
Dynamic gene regulatory network analysis using Saccharomyces cerevisiae large-scale time-course microarray data. ISCAS 2017: 1-4 - 2016
- [c9]Zhong Liu, Shing-Chow Chan, Ho-Chun Wu, Jia-Fei Wu:
Bayesian unscented Kalman filter for state estimation of nonlinear and non-Gaussian systems. EUSIPCO 2016: 443-447 - [c8]Jiafei Wu, Y. L. Bao, Shing-Chow Chan, H. C. Wu, Li Zhang, Xi-Guang Wei:
Myocardial infarction detection and classification - A new multi-scale deep feature learning approach. DSP 2016: 309-313 - [c7]Jinyong Zhang, Shing-Chow Chan, Hui Li, Ho-Chun Wu, Jia-Fei Wu, Lei Wang:
A flexible and miniaturized wireless ECG recording system with metal-skin contacts input for wearable personalized healthcare. DSP 2016: 318-321 - [c6]Xi-Guang Wei, Ho-Chun Wu, Shing-Chow Chan:
Marker gene identification for gene expression analysis - Review and new findings for Diffused Large B Cell Lymphoma (DLBCL). DSP 2016: 322-326 - [c5]Li Zhang, Z. N. Fu, Shing-Chow Chan, H. C. Wu, Z. G. Zhang:
A new L1-regularized time-varying autoregressive model for brain connectivity estimation: A study using visual task-related fMRI data. ISCAS 2016: 29-32 - 2015
- [j5]Jiafei Wu, Andersen Man Shun Ang, Kai Man Tsui, H. C. Wu, Yeung Sam Hung, Yong Hu, Joseph N. F. Mak, Shing-Chow Chan, Z. G. Zhang:
Efficient Implementation and Design of a New Single-Channel Electrooculography-Based Human-Machine Interface System. IEEE Trans. Circuits Syst. II Express Briefs 62-II(2): 179-183 (2015) - [j4]Shing-Chow Chan, Li Zhang, Ho-Chun Wu, Kai Man Tsui:
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. 12(1): 123-135 (2015) - [c4]Li Zhang, H. C. Wu, Shing-Chow Chan:
Large-scale dynamic gene regulatory networks analysis for time course DNA microarray data from C. elegans, preliminary results and findings. DSP 2015: 552-556 - [c3]Li Zhang, Ho-Chun Wu, Shing-Chow Chan:
A novel algorithm for time-varying gene regulatory networks identification with biological state change detection. ISCAS 2015: 61-64 - 2014
- [c2]H. C. Wu, Li Zhang, S. C. Chan:
Reconstruction of gene regulatory networks from short time series high throughput data: Review and new findings. DSP 2014: 733-738 - 2013
- [b1]Ho-Chun Wu:
New algorithms in factor analysis: applications, model selection and findings in bioinformatics. University of Hong Kong, 2013 - 2012
- [j3]Shing-Chow Chan, Kai Man Tsui, H. C. Wu, Yunhe Hou, Yik-Chung Wu, Felix F. Wu:
Load/Price Forecasting and Managing Demand Response for Smart Grids: Methodologies and Challenges. IEEE Signal Process. Mag. 29(5): 68-85 (2012) - [j2]Shing-Chow Chan, H. C. Wu, Kai Man Tsui:
Robust Recursive Eigendecomposition and Subspace-Based Algorithms With Application to Fault Detection in Wireless Sensor Networks. IEEE Trans. Instrum. Meas. 61(6): 1703-1718 (2012) - [j1]Shing-Chow Chan, H. C. Wu, Kai Man Tsui:
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 42(6): 1514-1528 (2012) - [c1]H. C. Wu, Shing-Chow Chan, Kai Man Tsui:
Robust Logistic Principal Component Regression for classification of data in presence of outliers. ISCAS 2012: 2809-2812
Coauthor Index
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