- Ganzhao Yuan. Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence. International Conference on Machine Learning (ICML), 2024.
[Paper][Code][Poster]
- Ganzhao Yuan. Coordinate Descent Methods for Fractional Minimization. International Conference on Machine Learning (ICML), 2023. [CCF A]
[Paper][Code][Slide]
- Ganzhao Yuan. Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023. [CCF A]
[Paper][Code][Slide][Poster]
- Ganzhao Yuan, Li Shen, Wei-Shi Zheng. A Block Decomposition Algorithm for Sparse Optimization. ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2020. [CCF A]
[Paper][Code][Slide]
- Ganzhao Yuan, Li Shen, Wei-Shi Zheng. A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [CCF A]
[Paper][Code][Slide]
- Qing Zhang, Ganzhao Yuan, Chunxia Xiao, Lei Zhu, Wei-Shi Zheng. High-Quality Exposure Correction of Underexposed Photos. ACM Multimedia, 2018. [CCF A]
[Paper]
- Ganzhao Yuan, Bernard Ghanem. L0TV: A Sparse Optimization Method for Impulse Noise Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. [CCF A]
[Paper][Code]
- Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma. GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. International Conference on Machine Learning (ICML), 2017. [CCF A]
[Paper]
- Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem. A Matrix Splitting Method for Composite Function Minimization. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [CCF A]
[Paper][Code][Slide]
- Ganzhao Yuan, Bernard Ghanem. An Exact Penalty Method for Binary Optimization Based on MPEC Formulation.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 2867-2875, 2017. [CCF A]
[Paper][Code]
- Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao. Convex Optimization for Linear Query Processing under Approximate Differential Privacy. ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 2005-2014, 2016. [CCF A]
[Paper] [Code]
- Ganzhao Yuan, Bernard Ghanem. A Proximal Alternating Direction Method for Semidefinite Rank Minimization.Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 2300-2308, 2016. [CCF A]
[Paper][Code]
- Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao.Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Transactions on Database Systems (TODS), 40(2): 11:1-11:47, 2015. [CCF A]
[Paper][Code]
- Ganzhao Yuan, Bernard Ghanem. L0TV: A New Method for Image Restoration in the Presence of Impulse Noise. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5369-5377, 2015. [Oral, Acc. Rate=71/2151=3.3%, CCF A]
[Paper][Code][Slide][Abstract]
- Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao. Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. International Conference on Very Large Data Bases (VLDB), 5(11):1352-1363, 2012. [CCF A]
[Paper][Code][Slide]
- Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao. Low-Rank Quadratic Semidefinite Programming. Neurocomputing, 106(0):51-60, 2013.
[Paper][Code]
- Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen. A Primal Method for Multiple Kernel Learning. Neural Computing and Applications 23(3-4):975-987, 2013.
[Paper][Code]
- Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem. BILGO: Bilateral Greedy Optimization for Large Scale Semidefinite Programming. Neurocomputing, 127(0):247-257, 2014.
[Paper][Code]
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