Dr Hua Mao

• Please visit the Pure Research Information Portal for further information
• Efficient Sparse Representation for Learning With High-Dimensional Data, Chen, J., Yang, S., Wang, Z., Mao, H. 1 Aug 2023, In: IEEE Transactions on Neural Networks and Learning Systems
• Low-Rank Tensor Learning for Incomplete Multiview Clustering, Chen, J., Wang, Z., Mao, H., Peng, X. 21 Dec 2022, In: IEEE Transactions on Knowledge and Data Engineering
• Multiview Subspace Clustering Using Low-Rank Representation, Chen, J., Yang, S., Mao, H., Fahy, C. 1 Nov 2022, In: IEEE Transactions on Cybernetics
• Two-Stage Sparse Representation Clustering for Dynamic Data Streams, Chen, J., Wang, Z., Yang, S., Mao, H. 28 Sep 2022, In: IEEE Transactions on Cybernetics
• Low-rank representation with adaptive dictionary learning for subspace clustering, Chen, J., Mao, H., Wang, Z., Zhang, X. 8 Jul 2021, In: Knowledge-Based Systems
• Spectrogram based multi-task audio classification, Zeng, Y., Mao, H., Peng, D., Yi, Z. Feb 2019, In: Multimedia Tools and Applications
• Audio classification using attention-augmented convolutional neural network, Wu, Y., Mao, H., Yi, Z. 1 Dec 2018, In: Knowledge-Based Systems
• Symmetric low-rank preserving projections for subspace learning, Chen, J., Mao, H., Zhang, H., Yi, Z. 13 Nov 2018, In: Neurocomputing
• Cell mitosis detection using deep neural networks, Zhou, Y., Mao, H., Yi, Z. 1 Dec 2017, In: Knowledge-Based Systems
• Cell tracking using deep neural networks with multi-task learning, He, T., Mao, H., Guo, J., Yi, Z. Apr 2017, In: Image and Vision Computing

• Jacob Sanderson Explainable Artificial Intelligence: Understanding, Interpreting and Using Deep Learning Models Start Date: 01/10/2023
• Jess Tindall The application of advanced optimisation techniques to drive improvements in the automation and efficiency of deep learning building energy prediction modelling. Start Date: 28/01/2021

Computing Science PhD June 30 2013