Dr Dongmei Mo

Research Assistant Professor

HHB903
+852 2766 4740
dmmei.mo@polyu.edu.hk

ORCID ID

SCOPUS ID

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Biography

Dr Dongmei Mo is a Research Assistant Professor at The Hong Kong Polytechnic University (PolyU). She received her Ph.D. degree from PolyU. Her research lies at the intersection of AI, machine learning, and human-centred applications. She has authored and co-authored more than 20 peer-reviewed publications, including 11 JCR Q1 journal articles, in leading journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Multimedia, IEEE Transactions on Automation Science and Engineering, and Pattern Recognition. Her current research focuses on human-centred AI and machine learning for education, healthcare, humanities and arts.

Teaching Areas

Language and Social Data Analytics
Fashion Market Intelligence

Research Output

D. Mo, D. Souza, X. Zou, W.Wong. "Revisiting Kernel Complexity in Gaussian Process Regression: An Empirical Study on Text-to-Visual Embedding Mapping in Fashion Design[J]", Neurocomputing,134304, 2026.
L. Shuai, D. Mo andW.Wong. "REB: Reducing biases in representation for industrial anomaly detection." Knowledge-Based Systems 290 (2024): 111563.
D. Mo, Z. Lai, J. Zhou, et al. "Scatter matrix decomposition for jointly sparse learning[J]". Pattern Recognition, 2023, 140: 109485.
D. Mo, X. Zou, and W.Wong. "Towards private stylists via personalized compatibility learning[J]", Expert Systems with Applications, 2023: 119632.
D. Mo, X. Zou, and W.Wong. "Neural stylist: Towards online styling service[J]", Expert Systems with Applications, 2022: 117333.
D. Mo,W.Wong, Z. Lai. "Weighted double low-rank decomposition with application to fabric defect detection[J]", IEEE Transactions on Automation Science and Engineering 2020, (18.3): 1170-1190.
D. Mo, Z. Lai, W.Wong. "Jointly sparse locality regression for feature extraction[J]", IEEE Transactions on Multimedia, 2019, 22(11): 2873-2888.
D. Mo, and Z. Lai. "Robust jointly sparse regression with generalized orthogonal learning for image feature selection[J]", Pattern Recognition, 2019, 93: 164-178.
D. Mo, Z. Lai, andW.Wong. "Locally joint sparse marginal embedding for feature extraction[J]", IEEE Transactions on Multimedia, 2019, 21(12): 3038-3052.