Research output per year
Research output per year
Personal profile
Overview
I am a PhD student in Computer Science at the University of Manchester, advised by Prof. Xiaojun Zeng in Machine Learning and Robotics group. Prior to that, I obtained my bachelor's degree from Yuan Longping Class of Hanhong Honors College at Southwest University in 2020. My research focuses on machine learning, graph learning and time series forecasting, which is funded by President's Doctoral Scholor (PDS) Award.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Doctor of Philosophy, Department of Computer Science, The University of Manchester
2020 → 2024
Bachelor of Engineering, Yuan Longing Class (Hanhong Honors College), Southwest University
2016 → 2020
Keywords
- Machine Learning
- Graph Nerual Network
- Time Series Forecasting
Fingerprint
Dive into the research topics where Shengzhong Mao is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 7 Similar Profiles
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EDU-level Extractive Summarization with Varying Summary Lengths
Wu, Y., Tseng, C.-H., Shang, J., Mao, S., Nenadic, G. & Zeng, X., 2023, Findings of the Association for Computational Linguistics: EACL 2023.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Learning Visibility Attention Graph Representation for Time Series Forecasting
Mao, S. & Zeng, X.-J., 21 Oct 2023, The ACM Conference on Information and Knowledge Management.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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SimVGNets: Similarity-Based Visibility Graph Networks for Carbon Price Forecasting
Mao, S. & Zeng, X.-J., 15 Nov 2023, In: Expert Systems with Applications. 120647.Research output: Contribution to journal › Article › peer-review
Open Access -
Construction Cost Index Prediction: A Visibility Graph Network Method
Mao, S., Tseng, C.-H., Shang, J., Wu, Y. & Zeng, X., 18 Jul 2021, 2021 International Joint Conference on Neural Networks (IJCNN).Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
Prizes
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President's Doctoral Scholar (PDS) Award
Mao, S. (Recipient), 2020
Prize: Prize (including medals and awards)
Thesis
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VISIBILITY GRAPH NETWORKS FOR TIME SERIES FORECASTING
Mao, S. (Author), Zeng, X. (Supervisor) & Chen, K. (Supervisor), 1 Aug 2024Student thesis: Phd
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