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  • Please visit the Pure Research Information Portal for further information
  • 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
  • Efficient Sparse Representation for Learning With High-Dimensional Data, Chen, J., Yang, S., Wang, Z., Mao, H. 25 Oct 2021, In: IEEE Transactions on Neural Networks and Learning Systems
  • 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
  • Explicit guiding auto-encoders for learning meaningful representation, Sun, Y., Mao, H., Sang, Y., Yi, Z. Mar 2017, In: Neural Computing and Applications

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

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