By Mr Yang Lin

Conference Papers

Lin Y; Koprinska I; Rana M, 2021, 'Temporal Convolutional Attention Neural Networks for Time Series Forecasting', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534351

Lin Y; Koprinska I; Rana M, 2021, 'SSDNet: State Space Decomposition Neural Network for Time Series Forecasting', in Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 370 - 378, http://dx.doi.org/10.1109/ICDM51629.2021.00048

Lin Y; Koprinska I; Rana M, 2020, 'Temporal Convolutional Neural Networks for Solar Power Forecasting', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206991

Lin Y; Koprinska I; Rana M; Troncoso A, 2020, 'Solar Power Forecasting Based on Pattern Sequence Similarity and Meta-learning', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 271 - 283, http://dx.doi.org/10.1007/978-3-030-61609-0_22

Lin Y; Koprinska I; Rana M, 2020, 'SpringNet: Transformer and Spring DTW for Time Series Forecasting', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 616 - 628, http://dx.doi.org/10.1007/978-3-030-63836-8_51

Lin Y; Koprinska I; Rana M; Troncoso A, 2019, 'Pattern Sequence Neural Network for Solar Power Forecasting', in Communications in Computer and Information Science, pp. 727 - 737, http://dx.doi.org/10.1007/978-3-030-36802-9_77

Lin Y; Wickramasinghe HR; Konstantinou G, 2018, 'Hardware-in-the-loop implementation of a hybrid circuit breaker controller for MMC-based HVDC systems', in Asia-Pacific Power and Energy Engineering Conference, APPEEC, IEEE, Kota Kinabalu, MALAYSIA, pp. 19 - 24, presented at IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kota Kinabalu, MALAYSIA, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/APPEEC.2018.8566399

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