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Mr Yang Lin

Adjunct Associate Lecturer
Arts, Design & Architecture
City Futures Research Centre
  • Journal articles | 2024
    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
    Journal articles | 2020
    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
    Journal articles | 2019
    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
  • Conference Papers | 2024
    Chen H; Lin Y; Chen R; Liu Y; Sun Y; Tian Z; Qiu J, 2024, 'Few-Shot Blockchain Domain Named Entity Recognition with Fused Lexical Features', in Mechanisms and Machine Science, pp. 595 - 613, http://dx.doi.org/10.1007/978-3-031-44947-5_48
    Conference Papers | 2023
    Lin Y, 2023, 'AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting', in 2023 IEEE 10th International Conference on Data Science and Advanced Analytics, DSAA 2023 - Proceedings, http://dx.doi.org/10.1109/DSAA60987.2023.10302580
    Preprints | 2023
    Lin Y, 2023, AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting, http://dx.doi.org/10.1109/DSAA60987.2023.10302580
    Preprints | 2023
    Lin Y, 2023, Progressive Neural Network for Multi-Horizon Time Series Forecasting, http://dx.doi.org/10.1016/j.ins.2024.120112
    Conference Papers | 2023
    Ma X; Chu X; Wang Y; Lin Y; Zhao J; Ma L; Zhu W, 2023, 'Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications', in Advances in Neural Information Processing Systems
    Conference Papers | 2021
    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
    Conference Papers | 2021
    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
    Preprints | 2021
    Lin Y; Koprinska I; Rana M, 2021, SSDNet: State Space Decomposition Neural Network for Time Series Forecasting, , http://arxiv.org/abs/2112.10251v1
    Conference Papers | 2020
    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
    Conference Papers | 2020
    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
    Conference Papers | 2020
    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
    Conference Papers | 2019
    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
    Conference Papers | 2018
    Lin Y; Wickramasinghe HR; Konstantinou G; Wickramasinghe H, 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, Institute of Electrical and Electronics Engineers (IEEE), MALAYSIA, Kota Kinabalu, pp. 19 - 24, presented at 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), MALAYSIA, Kota Kinabalu, 07 October 2018 - 10 October 2018, http://dx.doi.org/10.1109/APPEEC.2018.8566399