Pengyu Wang(王鹏宇)

I am currently pursuing the M.S. degree in software engineering at University of Electronic Science and Technology of China (UESTC) supervised by Prof. Fan Zhou.

My recent research interests include self-supervised learning, spatio-temporal data mining, deep generative model, urban computing.

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University of Electronic Science and Technology of China (UESTC), China
Bachelor Degree in School of Information and Software Engineering      • Sep. 2016 - Jun. 2020

University of Electronic Science and Technology of China (UESTC), China
Third-year Master, School of Information and Software Engineering      • Sep. 2020 - Present
Supervisor: Prof. Fan Zhou.

We presents a novel tour recommendation model by distilling knowledge and supervision signals from the trips in a self-supervised manner.

We propose a novel self-supervised session-based recommendation model that explores the additional signals using contrastive learning.

We present a self-supervised mobility leaning framework to encode human mobility semantics and facilitate the downstream location-based tasks.

We propose a novel probabilistic model DP-TFI to handle the urban flow uncertainties in fine-grained urban traffic flow inference problem and relax the structural constraint in a disentangled manner.