Haoren Guo

한양대학교

新加坡国立大学

• Conducted extensive research and developed a robust, accurate, and efficient deep learning model for time-series prediction and domain adaptation.• Researched deep learning algorithms to address predictive maintenance challenges for industrial machinery, focusing on scenarios with low data availability and data scarcity. Achieved state-of-the-art performances on the machinery remaining useful time prediction benchmark datasets.• Collaborated with large language models (LLMs) to… Show more • Conducted extensive research and developed a robust, accurate, and efficient deep learning model for time-series prediction and domain adaptation.• Researched deep learning algorithms to address predictive maintenance challenges for industrial machinery, focusing on scenarios with low data availability and data scarcity. Achieved state-of-the-art performances on the machinery remaining useful time prediction benchmark datasets.• Collaborated with large language models (LLMs) to enhance classification and prediction capabilities in time-series domain adaptation. Show less

新加坡国立大学

重庆巴蜀中学

美国威斯康星大学麦迪逊分校

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