黑料网大事记
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Mr Yang Lin

Adjunct Associate Lecturer
Arts, Design & Architecture
City Futures Research Centre
  • Journal articles | 2025
    Lin Y; Han H; Pettit C, 2025, 'Spatial-temporal modeling for urban climate: Enhancing energy prediction with global temporal convolutional attention networks', Urban Climate,
    Journal articles | 2025
    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,
    Journal articles | 2025
    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,
    Journal articles | 2024
    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,
    Journal articles | 2024
    Lin Y, 2024, 'Progressive neural network for multi-horizon time series forecasting', Information Sciences, 661,
    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,
    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,
  • Conference Papers | 2025
    Ma X; Xu Y; Lin Y; Wang T; Chu X; Gao X; Zhao J; Wang Y, 2025, 'DRESSING UP LLM: EFFICIENT STYLIZED QUESTION-ANSWERING VIA STYLE SUBSPACE EDITING', in 13th International Conference on Learning Representations Iclr 2025, pp. 58818 - 58841
    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,
    Conference Papers | 2024
    Gao X; Lin Y; Li R; Wang Y; Chu X; Ma X; Yu H, 2024, 'Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning', in Proceedings International Conference on Data Engineering, pp. 584 - 597,
    Conference Papers | 2024
    Lin Y; Ma X; Gao X; Li R; Wang Y; Chu X, 2024, 'Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 13762 - 13774,
    Conference Papers | 2024
    Ma X; Chu X; Yang Z; Lin Y; Gao X; Zhao J, 2024, 'Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation', in Proceedings of Machine Learning Research, pp. 33686 - 33729
    Conference Papers | 2023
    Lin Y; Gao X; Chu X; Wang Y; Zhao J; Chen C, 2023, 'Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 13361 - 13377,
    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,
    Preprints | 2023
    Lin Y, 2023, AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series Forecasting,
    Preprints | 2023
    Lin Y, 2023, Progressive Neural Network for Multi-Horizon Time Series Forecasting,
    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,
    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,
    Preprints | 2021
    Lin Y; Koprinska I; Rana M, 2021, SSDNet: State Space Decomposition Neural Network for Time Series Forecasting, ,
    Conference Papers | 2020
    Chu X; Lin Y; Wang Y; Wang X; Yu H; Gao X; Tong Q, 2020, 'Distance metric learning with joint representation diversification', in 37th International Conference on Machine Learning Icml 2020, pp. 1940 - 1951
    Conference Papers | 2020
    Gao J; Lin Y; Wang Y; Wang X; Yang Z; He Y; Chu X, 2020, 'Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation', in International Conference on Information and Knowledge Management Proceedings, pp. 395 - 404,
    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,
    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,
    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,
    Conference Papers | 2019
    Chu X; Lin Y; Wang Y; Wang L; Wang J; Gao J, 2019, 'MLRDA: A multi-task semi-supervised learning framework for drug-drug interaction prediction', in Ijcai International Joint Conference on Artificial Intelligence, pp. 4518 - 4524,
    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,
    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,