Yiu Ming CHEUNG

Emailymchkbu.eduhk

Accepting PhD Students

PhD projects

1. Developing Machine Learning Methods for Industrial Big Data Analysis and Traceability of Product Quality Abnormality;

2. Unsupervised Multi-source Domain Adaptation Approach to Deep Classification under a Complex Environment: A Challenging Problem?

3. On Detecting Cross-modal Emotional Inconsistency for Early Screening of Children with Autism Spectrum Disorder;

4. Semi-supervised Classification of Long-tailed Data with Hierarchically Related Labels in a Concept Drift Environment.

Research activity per year

5 Not started
6 Finished
6 Active

6 results

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Finished
On Detecting Cross-modal Emotional Inconsistency for Early Screening of Children with Autism Spectrum Disorder
CHEUNG, Y. M. (PI) & Wan, G. (CoI)
1/10/21 → 30/09/24
Project: Research project
On Developing a Lip-password Based Face Recognition System
CHEUNG, Y. M. (PI)
1/09/19 → 31/08/21
Project: Research project
基於雲架構的金融服務平臺關鍵技術攻關及產業化
CHEUNG, Y. M. (PI)
1/04/19 → 31/03/22
Project: Research project
Off-line Text-independent Writer Identification of Handwriting Document Using Non-separable Wavelet Transform
CHEUNG, Y. M. (PI)
1/10/09 → 30/09/11
Project: Research project
A Study of RBF Network for Classifying Chinese Herbal Fingerprints
CHEUNG, Y. M. (PI)
1/11/06 → 31/10/08
Project: Research project
On Developing an Infrared-Spectrum Fingerprint Classifier for Fast Non-destructive Identification of Chinese Herbal Qualities
CHEUNG, Y. M. (PI)
1/08/04 → 31/07/06
Project: Research project

Yiu Ming CHEUNG, Prof

Projects

Search results

On Detecting Cross-modal Emotional Inconsistency for Early Screening of Children with Autism Spectrum Disorder

On Developing a Lip-password Based Face Recognition System

基於雲架構的金融服務平臺關鍵技術攻關及產業化

Off-line Text-independent Writer Identification of Handwriting Document Using Non-separable Wavelet Transform

A Study of RBF Network for Classifying Chinese Herbal Fingerprints

On Developing an Infrared-Spectrum Fingerprint Classifier for Fast Non-destructive Identification of Chinese Herbal Qualities