My research interests lie in natural language processing, computational biology, probabilistic graphical models and deep learning. I joined Prof. Ning An's National 111 Center for Gero-informatics as an undergraduate research assistant in 2016. My teammate and I mainly focused on development of a monitoring system aiming at the elderly's mental health. I am in charge of algorithm design. Based on this project, we published a paper on Computer Applications and Software in March, 2018. A new paper reporting my work is under preparation now, and will be submitted to HCII 2019 soon. I joined Professor Xing Chen's lab as an intern in 2017. We worked on the prediction of latent miRNA-disease associations and managed to propose an algorithm that achieve good performance.
My research goal is to reveal the nature of artificial intelligence. As far as I am concerned, techniques like neural networks are optimizing the parameters of a structure-fixed model, and variational inference is optimizing the structure of a model (optimize functional). Thus, from my perspective, if combining variational inference and gradient-based models (e.g. neural networks), the structure and the parameters of the model can be optimized automatically. I'am reading Prof. Judea Pearl's The Book of Why and Prof. David Blei's papers, which enlightened me a lot.
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