Items where Author is "Mao, Hua"

Chen, Jie, Yang, Shengxiang, Wang, Zhu and Mao, Hua (2023) Efficient Sparse Representation for Learning With High-Dimensional Data. IEEE Transactions on Neural Networks and Learning Systems, 34 (8). pp. 4208-4222. ISSN 2162-237X

Chen, Jie, Yang, Shengxiang, Mao, Hua and Fahy, Conor (2022) Multiview Subspace Clustering Using Low-Rank Representation. IEEE Transactions on Cybernetics, 52 (11). pp. 12364-12378. ISSN 2168-2267

Chen, Jie, Wang, Zhu, Yang, Shengxiang and Mao, Hua (2022) Two-Stage Sparse Representation Clustering for Dynamic Data Streams. IEEE Transactions on Cybernetics. ISSN 2168-2267 (In Press)

Zeng, Yuni, Mao, Hua, Peng, Dezhong and Yi, Zhang (2019) Spectrogram based multi-task audio classification. Multimedia Tools and Applications, 78 (3). pp. 3705-3722. ISSN 1380-7501

Wu, Yu, Mao, Hua and Yi, Zhang (2018) Audio classification using attention-augmented convolutional neural network. Knowledge-Based Systems, 161. pp. 90-100. ISSN 0950-7051

Chen, Jie, Mao, Hua, Zhang, Haixian and Yi, Zhang (2018) Symmetric low-rank preserving projections for subspace learning. Neurocomputing, 315. pp. 381-393. ISSN 0925-2312

Zhou, Yao, Mao, Hua and Yi, Zhang (2017) Cell mitosis detection using deep neural networks. Knowledge-Based Systems, 137. pp. 19-28. ISSN 0950-7051

He, Tao, Mao, Hua and Yi, Zhang (2017) Moving object recognition using multi-view three-dimensional convolutional neural networks. Neural Computing and Applications, 28 (12). pp. 3827-3835. ISSN 0941-0643

Chen, Jie, Mao, Hua, Sang, Yongsheng and Yi, Zhang (2017) Subspace clustering using a symmetric low-rank representation. Knowledge-Based Systems, 127. pp. 46-57. ISSN 0950-7051

He, Tao, Mao, Hua, Guo, Jixiang and Yi, Zhang (2017) Cell tracking using deep neural networks with multi-task learning. Image and Vision Computing, 60. pp. 142-153. ISSN 0262-8856

Yu, Jiali, Mao, Hua and Yi, Zhang (2017) Parameter as a Switch Between Dynamical States of a Network in Population Decoding. IEEE Transactions on Neural Networks and Learning Systems, 28 (4). pp. 911-916. ISSN 2162-237X

Sun, Yanan, Mao, Hua, Sang, Yongsheng and Yi, Zhang (2017) Explicit guiding auto-encoders for learning meaningful representation. Neural Computing and Applications, 28 (3). pp. 429-436. ISSN 0941-0643

Wang, Yangxu, Mao, Hua and Yi, Zhang (2017) Protein secondary structure prediction by using deep learning method. Knowledge-Based Systems, 118. pp. 115-123. ISSN 0950-7051

Sun, Yanan, Yen, Gary G., Mao, Hua and Yi, Zhang (2016) Manifold dimension reduction based clustering for multi-objective evolutionary algorithm. In: CEC 2016 - 2016 IEEE Congress on Evolutionary Computation, 24th - 29th July 2016, Vancouver, Canada.

Zeng, Yifeng, Doshi, Prashant, Chen, Yingke, Pan, Yinghui, Mao, Hua and Chandrasekaran, Muthukumaran (2016) Approximating behavioral equivalence for scaling solutions of I-DIDs. Knowledge and Information Systems, 49 (2). pp. 511-552. ISSN 0219-1377

Mao, Hua, Chen, Yingke, Jaeger, Manfred, Nielsen, Thomas D., Larsen, Kim G. and Nielsen, Brian (2016) Learning deterministic probabilistic automata from a model checking perspective. Machine Learning, 105 (2). pp. 255-299. ISSN 0885-6125

Sun, Yanan, Mao, Hua, Guo, Quan and Yi, Zhang (2016) Learning a good representation with unsymmetrical auto-encoder. Neural Computing and Applications, 27 (5). pp. 1361-1367. ISSN 0941-0643

Chen, Jie, Zhang, Haixian, Mao, Hua, Sang, Yongsheng and Yi, Zhang (2016) Symmetric low-rank representation for subspace clustering. Neurocomputing, 173 (3). pp. 1192-1202. ISSN 0925-2312