Song, Qingyu

6 publications

NeurIPS 2025 Learning Provably Improves the Convergence of Gradient Descent Qingyu Song, Wei Lin, Hong Xu

CVPR 2024 Towards Robust Learning to Optimize with Theoretical Guarantees Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu

ICMLW 2023 Learning to Optimize Non-Convex Sum-Rate Maximization Problems Qingyu Song, Guochen Liu, Hong Xu

ICCV 2021 Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu

AAAI 2021 To Choose or to Fuse? Scale Selection for Crowd Counting Qingyu Song, Changan Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Jian Wu, Jiayi Ma

ICCV 2021 Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting Changan Wang, Qingyu Song, Boshen Zhang, Yabiao Wang, Ying Tai, Xuyi Hu, Chengjie Wang, Jilin Li, Jiayi Ma, Yang Wu