Yongsheng Yu

Yongsheng Yu

School of Computing
Macquarie University
Email: yongsheng.yu{}hdr.mq.edu.au.format{@}
Research Fields: Graph Neural Netowrk, Social Event Detection

I joined the School of Computing, Macquarie University, as a M.Res student candidate in 2022, supervised by A/Prof. Jia Wu and Prof. Jian Yang. My research topics focus on GNN and social event detection. In 2024, I will continue my current research topics by moving ahead to Ph.D. journey at MQ. What a delightful and lucky experience it is to conduct research with productivity and efficiency in such a comfortable, quiet, and pleasant environment.

Before this, I’ve got an Master of Philosophy degree on information science, supervised by Prof. Hongqi HAN, from Intelligence Theory and Method Center, Institute of Scientific and Technical Information of China(ISTIC) in 2018.

News

  • Served as a paper reviewer of WWW 2025.
  • Served as a paper reviewer of PAKDD 2024
  • Regular Paper is accepted by 2023 IEEE International Conference on Big Data(BigData2023). (Acceptance rate 17.5% with 92 out of 526)
  • Served as a paper reviewer of IJCNN 2023.
  • Served as a paper reveiwer of Neural Networks 2023.

Publications

[1] Yongsheng Yu, Jia Wu, Jian Yang. Social Event Detection with Reinforced Deep Heterogeneous Graph Attention Network[C]. 2023 IEEE International Conference on Big Data (BigData, Acceptance rate 17.5% with 92 out of 526 submissions). IEEE Computer Society, 2023: 463-472. PDF

[2] Hongqi Han, Yongsheng Yu, Lijun Wang, Xiaorui Zhai, Yaxin Ran, Jingpeng Han. Disambiguating USPTO inventor names with semantic fingerprinting and DBSCAN clustering[J]. The Electronic Library, 37(2), pp.225-239, 2019. PDF

[3] Yongsheng Yu, Cheng Dong, Hongqi Han, Zhong Li. The Method of Research Teams Identification Based on Social Network Analysis: Identifying Research Team Leaders Based on Iterative Betweenness Centrality Rank Method[J]. Information Studies: Theory and Application, 41(7): pp.105-110, 2018. PDF

[4] Yongsheng Yu, Hongqi Han, Zhong Li. The Method for Discovering Technology Competitor Groups Based on Graph Clustering[C]. Third Annual International Conference on Electronics, Electrical Engineering and Information Science (EEEIS 2017), pp. 484-489,2017. PDF

Professional Activities

  • Journal Reviewer
    • Neural Networks 2023.
  • Conference Reviewer
    • Pacific-Asia Conference on Knowledge Discovery and Data Mining(PAKDD) 2024.
    • International Joint Conference on Neural Networks(IJCNN) 2023.

Education Experience

Degree Major University Location Year
Doctor of Philosophy Computer Science Macquarie University Sydney, AU 2024.02 - Now
Master of Research Computer Science Macquarie University Sydney, AU 2022.07 - 2023.12
Master of Philosophy Information Science Institue of Scientific and Technical Information of China Beijing, CN 2015.09 - 2018.01

Work Experience

Company/Organization Role Year
Beijing Medicinovo Company Data Mining Engineer 2021.09 - 2022.06
Potevio Information Technology, Co. Ltd Associate Algorithm Engineer 2018.06 - 2018.12

Awards

  • Executive Deans Commendation for Academic Excellence in Year 2 MRes, 2023, Sydney Australia.
  • 2nd National Scholarship of ISTIC, 2017, Beijing China.