张晓明（教授）

张晓明 北京师范大学-香港浸会大学

张晓明，男，张晓明教授于香港中文大学获计算机科学与工程博士学位。 张教授现任香港浸会大学计算机科学系教授，是电气电子工程师学会会士。他是 IEEE Transactions on Cybernetics, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Cognitive and Developmental Systems, Pattern Recognition, and Neurocomputing等期刊的编委。2020年张教授被选为 IEEE计算智能学会杰出讲者。

目录

主要任职

计算机科学与技术

研究领域

人工智能、模式识别、图像及视频处理，多目标优化等

学术成果

文章

1. Y.Q. Zhang and Y.M. Cheung*, “Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes”, IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI:10.1109/TPAMI.2021.3056510.

2. X. Liu, K. Hu, H.B. Ling and Y.M. Cheung*, “MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3): 964-981, 2021.

3. Y. Zhou and Y.M. Cheung*, “Bayesian Low-Tubal-Rank Robust Tensor Factorization with Multi-Rank Determination”, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(1): 62-76, 2021.

4. J. Lou and Y.M. Cheung*, “Robust Low-rank Tensor Minimization via a New Tensor Spectral k-Support Norm”, IEEE Transactions on Image Processing, 29(1): 2314-2327, 2020.

5. Y. Lu, Y.M. Cheung* and Y.Y. Tang, “Bayes Imbalance Impact Index: A Measure of Class Imbalanced Dataset for Classification Problem”, IEEE Transactions on Neural Networks and Learning Systems, 31(9): 3525-3539, 2020.