Publications

† denotes equal contribution | * denotes corresponding authorship

2026

  1. Time-Series Decomposition as a standalone Task: A Mechanism-Driven Diagnostic Benchmark
    Zipeng Wu, Jiani Wei, Shiqiao Zhou, Jiajun Chen, Fabian Spill, and J. W. Andrews
    Forty-third International Conference on Machine Learning (ICML 2026), 2026

2025

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    Uncertainty-Aware Dual-Ranking Strategy for Offline Data-Driven Multi-Objective Optimization
    Huanbo Lyu, Daniel Herring, Shiqiao Zhou, Miqing Li, Zheming Zuo, Jelena Ninic, James Andrews, Fabian Spill, and Shuo Wang*
    Arxiv, 2025
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    BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting
    Shiqiao Zhou, Holger Schöner, Huanbo Lyu, Edouard Fouché, and Shuo Wang*
    The 34th Conference on Information and Knowledge Management (CIKM 2025), 2025
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    A Data-Driven Multi-Objective Optimisation Framework for Energy Efficiency and Thermal Comfort in Flexible Building Spaces
    Huanbo Lyu, Daniel Herring*, Hongkuan Chen, Shiqiao Zhou, Jianyu Zhang, Lingfeng Wang, Zheming Zuo, James Andrews*, Fabian Spill, Jelena Ninic, and Shuo Wang*
    Energy and Buildings, 2025
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    Comprehensive Assessment of Failure Mode and Shear Capacity of Reinforced Concrete Circular Columns Based on Data-Driven Machine Learning Methods
    Yue Wen†, Shiqiao Zhou†, Gaochuang Cai*, Zhili He, and Amir Si Larbi
    Engineering Applications of Artificial Intelligence (EAAI), 2025
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    DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation
    Linyan Yang, Shiqiao Zhou*, Jingwei Cheng, Fu Zhang, Jizheng Wan, Shuo Wang, and Mark Lee
    The 31st International Conference on Computational Linguistics (COLING 2025), 2025