Shengzhong Mao
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Shengzhong Mao, Ph.D. |
About me
I am currently a PhD candidate in the Department of Computer Science at University of Manchester, advised by Prof. Xiao-Jun Zeng, and I'm a member of Machine Learning and Robotics (MLR) group. Prior to that, I received my bachelor's degree from Yuan Longping Class of Hanhong Honors College at Southwest University, advised by Prof. Yong Deng and Prof. Fuyuan Xiao. My PhD research focuses on machine learning, graph representation learning and time series forecasting, which is funded by the prestigious President's Doctoral Scholor (PDS) Award.
Recent News
[Nov. 2023] Paper "SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting" has been published in Expert Systems with Applications.
[Oct. 2023] Paper "Learning Visibility Attention Graph Representation for Time Series Forecasting" has been published in CIKM 2023.
[Aug. 2023] Very glad to receive the PDS Development Funding!
[Jun. 2023] Paper "AVGNets: Angular Visibility Graph Networks with Probability Attention for Time Series Forecasting" has been accepted by IJCAI 2023 Workshop on Artificial Intelligence for Time Series Analysis (AI4TS).
[Jan. 2023] Paper "EDU-level Extractive Summarization with Varying Summary Lengths" has been accepted by Findings of EACL 2023.
Education
Ph.D. in Computer Science, University of Manchester, Oct. 2020 - Apr. 2024
B.Eng. in Network Engineering, Southwest University, Sep. 2016 - Jun. 2020
Exchange Student, National Chung Hsing University, Sep. 2017 - Jan. 2018
Selected Honors & Awards
President’s Doctoral Scholarship Award, University of Manchester (Top 1%)
President’s Doctoral Scholarship Development Fund
National Scholarship, China Ministry of Education (Top 1%)
Top-Talent Students Cultivation Program, Southwest University (Top 1%)
