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职业迁徙
个人简介
I’m an Assistant Professor of Computer Science and Cognitive Science at Rutgers University where I lead the Rutgers Machine Learning Group (RUML). My research goal is to develop machine learning algorithms for human-level intelligence. I believe that AI agents should be able to learn representations of the world and their structured relations in a way to support systematic generalization. I have particular emphases on unsupervised and structured representation learning based on deep learning, probabilistic learning, and reinforcement learning. Inspiration from cog/neuroscience is also important to come up with proper inductive biases. I received my Ph.D. at the University of California, Irvine on the study of scalable approximate Bayesian inference under the supervision of Prof. Max Welling. I did my postdoc working on deep learning at MILA under Prof. Yoshua Bengio. I joined Rutgers University in Fall 2018.
研究兴趣
论文共 59 篇作者统计合作学者相似作者
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CoRR (2024)
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ICLR 2024 (2024)
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CoRR (2024)
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CoRR (2024)
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ICLR 2024 (2024)
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arXiv (Cornell University) (2023)
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