Xiang-Xiang Su

According to our database, Xiang-Xiang Su authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

BiEvLight: Bi-level Learning of Task-Aware Event Refinement for Low-Light Image Enhancement.

Zishu Yao, Xiang-Xiang Su, Shengning Zhou, Guang-Yong Chen, Guodong Fan, Xing Chen

CoRR, March, 2026

Riemannian Acceleration for Sparse PCA With Separable Structure and Second-Order Information Exploration.

Guang-Yong Chen, Hui-Lang Xu, Xiang-Xiang Su, Min Gan, Xing Chen, C. L. Philip Chen

IEEE Trans. Image Process., 2026

Spatio-temporal collaborative optimization for event-guided low-light video enhancement.

Zishu Yao, Xiang-Xiang Su, Shengning Zhou, Guangyu Zhu, Guodong Fan, Jing Chen

Pattern Recognit., 2026

Bridging Optimization and Neural Networks for Efficient Multi-view Clustering.

Hui-Lang Xu, Xiang-Xiang Su, Simin Chen, Guang-Yong Chen, Xing Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Online Learning Under a Separable Stochastic Approximation Framework.

Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen, C. L. Philip Chen

IEEE Trans. Pattern Anal. Mach. Intell., February, 2025

An Efficient Decoupled Optimization Algorithm for a Class of Regression Models.

Guang-Yong Chen, Yi Liao, Xiang-Xiang Su, Min Gan, C. L. Philip Chen

IEEE Signal Process. Lett., 2025

Adaptive decoupled strategy for robust and efficient low-rank matrix decomposition.

Min Gan, Peng Xue, Fan Zhang, Xiang-Xiang Su, Xin Lin, Guang-Yong Chen

Neurocomputing, 2025

2024

Robust Variable Projection Algorithm for the Identification of Separable Nonlinear Models.

Guang-Yong Chen, Xiang-Xiang Su, Min Gan, Wenzhong Guo, C. L. Philip Chen

IEEE Trans. Autom. Control., September, 2024

Nonmonotone variable projection algorithms for matrix decomposition with missing data.

Xiang-Xiang Su, Min Gan, Guang-Yong Chen, Lin Yang, Jun-Wei Jin

Pattern Recognit., April, 2024

2023

Online Learning Under A Separable Stochastic Approximation Framework.

Min Gan, Xiang-Xiang Su, Guang-Yong Chen, Jing Chen

CoRR, 2023