By Mr Yang Lin

Journal articles

Lin Y; Ma X; Chu X; Jin Y; Yang Z; Wang Y, 2025, 'LoRA dropout as a sparsity regularizer for overfitting reduction', Knowledge Based Systems, 329, http://dx.doi.org/10.1016/j.knosys.2025.114241

Soundararaj B; Han H; Pettit C; Lin Y, 2025, 'Transforming urban planning through machine learning: A study on planning application classification using natural language processing', Environment and Planning B: Planning and Design, http://dx.doi.org/10.1177/23998083251369142

Lin Y; Han H; Pettit C, 2025, 'Spatial-temporal modeling for urban climate: Enhancing energy prediction with global temporal convolutional attention networks', Urban Climate, http://dx.doi.org/10.1016/j.uclim.2025.102413

Lin Y, 2024, 'Progressive neural network for multi-horizon time series forecasting', Information Sciences, 661, http://dx.doi.org/10.1016/j.ins.2024.120112

Chu X; Ma XY; Lin Y; Wang X; Wang YS; Zhu WW; Mei H, 2024, 'Over-parameterized Graph Neural Network Towards Robust Graph Structure Defending', Ruan Jian Xue Bao Journal of Software, 35, pp. 3878 - 3896, http://dx.doi.org/10.13328/j.cnki.jos.007065

Lin Y; Chu X; Wang Y; Mao W; Zhao J, 2020, 'Cross-Modal Recipe Retrieval with Self-Attention Mechanism', Journal of Frontiers of Computer Science and Technology, 14, pp. 1471 - 1481, http://dx.doi.org/10.3778/j.issn.1673-9418.1912016

Lin Y; Xiao W, 2019, 'Novel Piecewise Linear Formation of Droop Strategy for DC Microgrid', IEEE Transactions on Smart Grid, 10, pp. 6747 - 6755, http://dx.doi.org/10.1109/TSG.2019.2911013

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