CV

Education

Work experience

Publications

  1. Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu, “Towards Robust Learning to Optimize with Theoretical Guarantees,” In IEEE/CVF CVPR 2024.
  2. Yu Zhang, Wei Lin, Sisi Chen, Qingyu Song, Jiaxun Lu, Yunfeng Shao, Bei Yu, Hong Xu, “Fed2Com: Towards Efficient Compression in Federated Learning”, In IEEE ICNC 2024.
  3. Qingyu Song, Juncheng Wang, Jingzong Li, Guochen Liu, Hong Xu, “A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization,” In INFOCOM 2024.
  4. Qingyu Song, Guochen Liu, Hong Xu. “Learning to Optimize Non-Convex Sum-Rate Maximization Problems.” In ICML 2023, Workshop on Synergy of Scientific and Machine Learning Modeling.
  5. Qingyu Song, Guochen Liu, Hong Xu. “Towards a Learning-Only Approach for Non-Convex Sum Rate Maximization.” In SigMetrics 2023, Workshop on Learning-augmented Algorithms: Theory and Applications.
  6. Qingyu Song, Ruibo Ming, Jianming Hu, Haoyi Niu, Mingyan Gao. “Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction.” In IEEE ITSC 2020.
  7. Jinhua Chen, Qingyu Song, Can Zhao, Zhiheng Li. “Graph Database and Relational Database Performance Comparison on a Transportation Network.” In International Conference on Advances in Computing and Data Sciences 2020.
  8. Qingyu Song, Jianming Hu, Ruobing Zhang, Yi Zhang. An Urban Topological Map Generation Method for Traffic Flow Prediction Based on Road Segment Clustering with Floating Vehicle Trajectory Dataset.” In CICTP 2019.

Teaching experience