Fuli Wang
Contact information:
Cell: (218)-590-1833
Email: fuliwang at udel dot edu
Welcome to my website! My name is Fuli Wang (王馥黎 in Chinese). I am a fourth-year Ph.D. candidate at the University of Delaware in the Financial Services Analytics program. I am very fortunate to work with my advisors Prof. Gonzalo R. Arce and Prof. Wei Qian since 2020.
Before that, I received my Bachelor's degree in Finance at Dongbei University of Finance and Economics in 2018, and my Master's degree in Statistics at the University of Minnesota Duluth in 2020, where I worked with Prof. Yongcheng Qi.
My research interests mainly focus on developing graph and hypergraph-related machine learning algorithms by leveraging graph neural networks, graph signal processing, and optimization techniques. My research interest covers various domains of machine learning on graphs such as:
Hypergraph Neural Networks
Financial Network Analysis
Graph-assisted Multivariate Time Series Modeling
Here is my resume. (Update in Dec. 2023)
NEWS:
[ Nov 2023 ] Our paper "T-HyperGNNs: Hypergraph Neural Networks Via Tensor Representations " is accepted by IEEE Transaction on Neural Networks and Learning Systems, and the early access is available here.
[ Nov 2023 ] Our paper "Learning Hypergraphs Tensor Representations from Data via t-HGSP" is accepted by IEEE Transactions on Signal and Information Processing over Networks, and is available here.
[ June 2023 ] Our paper "A Unified View Between Tensor Hypergraph Neural Networks and Signal Denoising" has been accepted by EUSIPCO 2023 and is available here.
[ June 2023 ] I am presenting our work on tensor hypergraph neural networks at the graph signal processing workshop 2023 in Oxford, UK. The slides are available here.
[ Nov 2022 ] Pass Ph.D. dissertation proposal defense!
[ Aug 2022 ] Start online master of computer science at Georgia Institute of Technology.
[ July 2021 ] Pass Ph.D. qualifying exams!
[ Aug 2020 ] Start working with Prof. Arce and Prof. Qian on hypergraph learning.