Yumeng Song (宋雨萌)

I am a postdoc with the Department of Computer Science at Aarhus University, Denmark. I received my Bachelor’s, Master’s, and Ph.D. degrees from Northeastern University in 2017, 2019, and 2024, respectively, under the supervision of Prof. Ge Yu. From 2022 to 2024, I was a guest Ph.D. at Aalborg University, hosted by Assistant Prof. Tianyi Li. I have published several papers in top conferences and journals, including VLDB, TKDE, etc.

Research Interests

  • Machine Learning for Spatio-temporal Data Management and Analytics
  • Hypergraph Neural Networks
  • Graph Neural Networks

Publications

Most recent publications on Google Scholar.

  • Quantifying Trajectory Point Contributions: A Lightweight Framework for Efficient and Effective Query-Driven Trajectory Simplification
    Yumeng Song, Yu Gu, Tianyi Li, Yushuai Li, Christian S. Jensen, Ge Yu
    VLDB 2025 (Accepted)

  • Networked Digital Twins for Autonomous Vehicles: A New Perspective
    Tianyi Li, Yushuai Li, Yumeng Song, Zhongming Yao, Wei Gao, David Wenzhong Gao
    IEEE Transactions on Intelligent Vehicles 2024

  • CHGNN: A Contrastive Network for Semi-Supervised Hypergraph Learning [PDF]
    Yumeng Song, Yu Gu, Tianyi Li, Jianzhong Qi, Zhenghao Liu, Christian S. Jensen, Ge Yu
    TKDE 2024

  • Diffusion Model-Enhanced Contrastive Learning for Graph Representation
    Qi Dai, Yumeng Song, Yu Gu, Fangfang Li, Xiaohua Li
    DASFAA 2024

  • Learning from Feature and Global Topologies: Adaptive Multi-View Parallel Graph Contrastive Learning
    Yumeng Song, Xiaohua Li, Fangfang Li, Ge Yu
    Mathematics 2024

  • CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels
    Jingbo Wang, Yumeng Song, Yu Gu, Xiaohua Li, Fangfang Li
    DASFAA 2023

  • CSGNN: Improving Graph Neural Networks with Contrastive Semi-supervised Learning
    Yumeng Song, Yu Gu, Xiaohua Li, Chuanwen Li, Ge Yu
    DASFAA 2022

  • IncreGNN: Incremental Graph Neural Network Learning by Considering Node and Parameter Importance
    Di Wei, Yu Gu, Yumeng Song, Zhen Song, Fangfang Li, Ge Yu
    DASFAA 2022

  • Survey on AI-powered New Techniques for Query Processing and Optimization
    Yumeng Song, Yu Gu, Fangfang Li, Ge Yu
    Journal of Frontiers of Computer Science and Technology 2020

  • Dynamic Preference-Based Group Query in Temporal Geo-Social Networks
    Yumeng Song, Mo Chen, Ge Yu
    Journal of Frontiers of Computer Science and Technology 2019

Academic Services

  • PC member [IJCAI 2025]
  • Reviewer [IEEE TIV, IEEE Netowrk, IEEE TII, IEEE TASE]

Invited Talks

  • Faculty Lecture [Feb 2025 at Aarhus University]

Teaching Experience

  • Group co-supervisor on DAT7 (one group) [Fall 2024]
  • Guest lecture, Algorithm and Data Structures [Fall 2024]

Training Programs

  • Problem-based Learning (PBL) course

CV

You can find my CV here:Yumeng’s CV.