CS Events

PhD Defense Automated Machine Learning for Intelligent Systems
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Speaker: Zelong Li

Location : CoRE 305

Committee: 

Professor Yongfeng Zhang (Chair)

Assistant Professor Hao Wang

Assistant Professor He Zhu

Professor Mengnan Du (external)

Event Type: PhD Defense

Abstract: The fast progress in Machine Learning techniques has led to a growing impact of Artificial Intelligence (AI) on various aspects of people's lives. AI model learning comprises three vital components: data inputs, model design, and loss functions. Each of these components makes a significant contribution to the AI system's performance. Traditionally, these components needed skilled domain experts to meticulously design them, creating a challenging barrier to entry into AI. Besides, manual approaches are relatively inefficient and often fail to achieve optimal results. Recently, automated machine learning (AutoML), such as neural architecture search, has tried to tackle the challenge by automating the design and parameters of deep models. However, traditional AutoML research mainly focuses on automated model design instead of the inputs and loss functions, and AutoML's research on recent large language models is still in its infancy due to the enormous computations required. Through the development of automated machine learning techniques at various stages of an AI pipeline, we conduct three studies to advance both small-scale and large-scale intelligent systems further, making them more precise, effective, and user-friendly.

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Contact  Professor Yongfeng Zhang

https://rutgers.zoom.us/j/97730694390?pwd=VmtyanFMSFpCcWtsY1dhWEgrSzhhZz09