By Associate Professor Huadong Mo

Preprints

Li B; Sun Z; Bian J; Wu Y; Wang Y; Li H; Bian Y; Mo H; Dong D, 2026, StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics, http://dx.doi.org/10.48550/arxiv.2604.03315

Song C; Liu Y; Zhang G; Mo H; Dong D, 2025, Learning-Based Design of LQG Controllers in Quantum Coherent Feedback, http://dx.doi.org/10.48550/arxiv.2502.08170

Xu J; Sun Q; Yang Y; Mo H; Dong D, 2025, Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context, http://dx.doi.org/10.48550/arxiv.2404.13391

Qiu Z; Li C; Wang Z; Xie R; Zhang B; Mo H; Chen G; Dong Z, 2024, EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection, http://dx.doi.org/10.48550/arxiv.2411.00852

Selim A; Mo H; Pota H; Dong D, 2024, Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing, http://dx.doi.org/10.48550/arxiv.2408.09989

Rao J; Yang F; Mo H; Kollmannsberger S; Rank E, 2021, Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion, http://dx.doi.org/10.48550/arxiv.2109.07284

Guo F; Mo H; Wu J; Pan L; Zhou H; Zhang Z; Li L; Huang F, A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting, http://dx.doi.org/10.20944/preprints202406.1525.v1

Dean CM; Ma X; Ding T; Xu K; Chen Y; Mo H, A Study of Machine Learning Model’s Performance for Load Forecasting Based on XAI Techniques, http://dx.doi.org/10.20944/preprints202501.1015.v1

Guo F; Zhang Z; Song W; Tian H; Zhang J; Mo H, A TEE-Protected Framework for Explainable LLM-Assisted Microgrid Decision Support, http://dx.doi.org/10.20944/preprints202606.1154.v2

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