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Resume (English only)
Academic Achievements
Published multiple papers in international conferences and journals such as WSDM, COLING, ICAART, and Knowledge-Based Systems; involved in various research projects including predicting polarization in dynamic social networks using graph auto-encoders and stock movement prediction using decoupled graph diffusion neural networks.
Research Experience
Worked as a postdoc researcher at the Machine Learning group of the University of Oxford, collaborating with several professors; focused on machine learning research during his PhD at the University of Sheffield.
Education
PhD from the Department of Computer Science, Machine Learning Group, University of Sheffield, supervised by Prof. Haiping Lu and Prof. Nikos Aletras; Postdoc in the Machine Learning group at the University of Oxford, working with Prof. Xiaowen Dong, Prof. Janet Pierrehumbert, and Dr. Isabelle Lorge.
Background
An associate lecturer in Finance and Technology at the Institute of University College London. Research focuses on machine learning, fintech, graph representation learning (GRL), and graph neural networks (GNNs) with applications in social and financial network analysis.
Miscellany
Served as a program committee member for KDD, IJCAI, AAAI, ECML, WWW, and WSDM; taught COM6012 Scalable Machine Learning in Spring 2018-2020; taught COM4509/6509 Machine Learning and Adaptive Intelligence in Fall 2020.