Graph Database and Relational Database Performance Comparison on a Transportation Network. - Jinhua Chen; Qingyu Song 002; Can Zhao 004; Zhiheng Li 001 (ICACDS, 2020)

Graph Attention Convolutional Network: Spatiotemporal Modeling for Urban Traffic Prediction. - Qingyu Song 002; Ruibo Ming; Jianming Hu; Haoyi Niu; Mingyang Gao (ITSC, 2020)

Towards Robust Learning to Optimize with Theoretical Guarantees. - Qingyu Song 002; Wei Lin; Juncheng Wang 001; Hong Xu 001 (CVPR, 2024)

Fed2Com: Towards Efficient Compression in Federated Learning. - Yu Zhang 189; Wei Lin; Sisi Chen; Qingyu Song 002; Jiaxun Lu; Yunfeng Shao 001; Bei Yu 001; Hong Xu 001 (ICNC, 2024)

A Learning-only Method for Multi-Cell Multi-User MIMO Sum Rate Maximization. - Qingyu Song 002; Juncheng Wang 001; Jingzong Li; Guochen Liu; Hong Xu 001 (INFOCOM, 2024)

Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach. - Wei Lin; Qingyu Song 002; Hong Xu 001 (CoRR, 2024)

Learning Provably Improves the Convergence of Gradient Descent. - Qingyu Song 002; Wei Lin; Hong Xu 001 (CoRR, 2025)

Harnessing On-Device Large Language Model: Empirical Results and Implications for AI PC. - Qingyu Song 002; Peiyu Liao; Wenqian Zhao; Yiwen Wang; Shoubo Hu; Hui-Ling Zhen; Ning Jiang; Mingxuan Yuan (CoRR, 2025)