Wang, Qingsong

9 publications

ICML 2025 Elucidating Flow Matching ODE Dynamics via Data Geometry and Denoisers Zhengchao Wan, Qingsong Wang, Gal Mishne, Yusu Wang

CVPR 2025 Non-Natural Image Understanding with Advancing Frequency-Based Vision Encoders Wang Lin, QingSong Wang, Yueying Feng, Shulei Wang, Tao Jin, Zhou Zhao, Fei Wu, Chang Yao, Jingyuan Chen

NeurIPS 2025 Seeds of Structure: Patch PCA Reveals Universal Compositional Cues in Diffusion Models Qingsong Wang, Zhengchao Wan, Mikhail Belkin, Yusu Wang

AAAI 2024 A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems Qingsong Wang, Zehui Liu, Chunfeng Cui, Deren Han

ICLR 2024 Efficient Score Matching with Deep Equilibrium Layers Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang

AISTATS 2024 Monotone Operator Theory-Inspired Message Passing for Learning Long-Range Interaction on Graphs Justin M. Baker, Qingsong Wang, Martin Berzins, Thomas Strohmer, Bao Wang

ICML 2023 Implicit Graph Neural Networks: A Monotone Operator Viewpoint Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang

ICML 2023 Momentum Ensures Convergence of SIGNSGD Under Weaker Assumptions Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang

TMLR 2023 Pairwise Learning with Adaptive Online Gradient Descent Tao Sun, Qingsong Wang, Yunwen Lei, Dongsheng Li, Bao Wang