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Key Publications

  • 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. 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
  • Multiview Subspace Clustering Using Low-Rank Representation, Chen, J., Yang, S., Mao, H., Fahy, C. 29 Jun 2021, In: IEEE Transactions on Cybernetics
  • 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
  • Moving object recognition using multi-view three-dimensional convolutional neural networks, He, T., Mao, H., Yi, Z. Dec 2017, In: Neural Computing and Applications

PGR Supervision

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

Qualifications

Computing Science PhD June 30 2013

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