Publications

Preprints

[3]. Qingyu Song, Peiyu Liao, Wenqian Zhao, Yiwen Wang, Shoubo Hu, Hui-Ling Zhen, Ning Jiang, and Mingxuan Yuan. “Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC.” arXiv preprint arXiv:2505.15030 (2025).

[2]. Qingyu Song, Wei Lin, and Hong Xu. “Learning Provably Improves the Convergence of Gradient Descent.” arXiv preprint arXiv:2501.18092 (2025).

[1]. Wei Lin, Qingyu Song, and Hong Xu. “Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach.” arXiv preprint arXiv:2412.00059 (2024).

Conference Proceedings

[7]. Siyong Huang, Qingyu Song, Kexin Yu, Zhaoning Wang, Zhizhen Zhong, Qiao Xiang, and Jiwu Shu. “Toward Scalable Learning-Based Optical Restoration”. In ACM APNet 2025.

[6]. Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu. Towards Robust Learning to Optimize with Theoretical Guarantees. In IEEE/CVF CVPR, 2024.

[5]. Qingyu Song, Juncheng Wang, Jingzong Li, Guocheng Liu, Hong Xu. A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization. In IEEE INFOCOM, 2024.

[4]. 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, RuiBo Ming, Jianming Hu, Haoyi Niu, Mingyang Gao. Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction. In IEEE ITSC, 2020.

[2]. Jinhua Chen, Qingyu Song, Can Zhao, Zhiheng Li. Graph Database and Relational Database Performance Comparison on a Transportation Network. In ICACDS, 2020.

[1]. Qingyu Song, Jianming Hu, Ruobing Zhang, Zuo Zhang. An Urban Topological Map Generation Method for Traffic Flow Prediction Based on Road Segment Clustering with Floating Vehicle Trajectory Dataset. In COTA CICTP, 2019.

Workshops

[2]. Qingyu Song, Guocheng Liu, Hong Xu. Learning to Optimize Non-Convex Sum-Rate Maximization Problems. In ICML 2023, 1st Workshop on Synergy of Scientific and Machine Learning Modeling.

[1]. Qingyu Song, Guocheng Liu, Hong Xu. Towards a Learning-Only Approach for Non-Convex Sum Rate Maximization. In ACM SigMetrics 2023, 1st Workshop on Learning-augmented Algorithms: Theory and Applications.

You can also find my articles on my Google Scholar profile.