Ganzhao Yuan - RankMe

41 papers A* 14Journal 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Lipschitz-Free Conditional Gradient Methods for Stochastic Composite Nonconvex Optimization. CoRR Ganzhao Yuan
2026	J	`jnl`	MuonEq: Balancing Before Orthogonalization with Lightweight Equilibration. CoRR Da Chang, Qiankun Shi, Lvgang Zhang, Yu Li, Ruijie Zhang, Yao Lu, Yongxiang Liu, Ganzhao Yuan
2026	J	`jnl`	OptEMA: Adaptive Exponential Moving Average for Stochastic Optimization with Zero-Noise Optimality. CoRR Ganzhao Yuan
2025	A*	`conf`	ADMM for Nonconvex Optimization under Minimal Continuity Assumption. ICLR Ganzhao Yuan
2025	A*	`conf`	ADMM for Structured Fractional Minimization. ICLR Ganzhao Yuan
2025	J	`jnl`	Adaptive Accelerated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization. CoRR Ganzhao Yuan
2025	J	`jnl`	AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMs. CoRR Di He, Ajay Jaiswal, Songjun Tu, Li Shen, Ganzhao Yuan, Shiwei Liu, Lu Yin
2025	J	`jnl`	On the Convergence of Muon and Beyond. CoRR Da Chang, Yongxiang Liu, Ganzhao Yuan
2024	J	`jnl`	ADMM for Structured Fractional Minimization. CoRR Ganzhao Yuan
2024	J	`jnl`	Block Coordinate Descent Methods for Optimization under J-Orthogonality Constraints with Applications. CoRR Di He, Ganzhao Yuan, Xiao Wang, Pengxiang Xu
2024	A*	`conf`	Smoothing Proximal Gradient Methods for Nonsmooth Sparsity Constrained Optimization: Optimality Conditions and Global Convergence. ICML Ganzhao Yuan
2023	J	`jnl`	A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints. CoRR Ganzhao Yuan
2023	A*	`conf`	Coordinate Descent Methods for DC Minimization: Optimality Conditions and Global Convergence. AAAI Ganzhao Yuan
2023	A*	`conf`	Coordinate Descent Methods for Fractional Minimization. ICML Ganzhao Yuan
2022	J	`jnl`	Coordinate Descent Methods for Fractional Minimization. CoRR Ganzhao Yuan
2021	J	`jnl`	Coordinate Descent Methods for DC Minimization. CoRR Ganzhao Yuan
2020	A*	`conf`	A Block Decomposition Algorithm for Sparse Optimization. KDD Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2019	J	`jnl`	A Block Decomposition Algorithm for Sparse Optimization. CoRR Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2019	A*	`conf`	A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem. CVPR Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2019	J	`jnl`	ℓ IEEE Trans. Pattern Anal. Mach. Intell. Ganzhao Yuan, Bernard Ghanem
2018	J	`jnl`	A Decomposition Algorithm for Sparse Generalized Eigenvalue Problem. CoRR Ganzhao Yuan, Li Shen, Wei-Shi Zheng
2018	J	`jnl`	A Generalized Matrix Splitting Algorithm. CoRR Ganzhao Yuan, Wei-Shi Zheng, Li Shen, Bernard Ghanem
2018	A*	`conf`	High-Quality Exposure Correction of Underexposed Photos. ACM Multimedia Qing Zhang, Ganzhao Yuan, Chunxia Xiao, Lei Zhu, Wei-Shi Zheng
2018	J	`jnl`	𝓁 CoRR Ganzhao Yuan, Bernard Ghanem
2017	J	`jnl`	A Coordinate-wise Optimization Algorithm for Sparse Inverse Covariance Selection. CoRR Ganzhao Yuan, Haoxian Tan, Wei-Shi Zheng
2017	A*	`conf`	A Matrix Splitting Method for Composite Function Minimization. CVPR Ganzhao Yuan, Wei-Shi Zheng, Bernard Ghanem
2017	A*	`conf`	An Exact Penalty Method for Binary Optimization Based on MPEC Formulation. AAAI Ganzhao Yuan, Bernard Ghanem
2017	A*	`conf`	GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization. ICML Li Shen, Wei Liu, Ganzhao Yuan, Shiqian Ma
2016	A*	`conf`	A Proximal Alternating Direction Method for Semi-Definite Rank Minimization. AAAI Ganzhao Yuan, Bernard Ghanem
2016	A*	`conf`	Convex Optimization for Linear Query Processing under Approximate Differential Privacy. KDD Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao
2016	J	`jnl`	Optimal Linear Aggregate Query Processing under Approximate Differential Privacy. CoRR Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao
2015	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2015	J	`jnl`	Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy. ACM Trans. Database Syst. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2015	A*	`conf`	ℓ0TV: A new method for image restoration in the presence of impulse noise. CVPR Ganzhao Yuan, Bernard Ghanem
2014	J	`jnl`	BILGO: Bilateral greedy optimization for large scale semidefinite programming. Neurocomputing Zhifeng Hao, Ganzhao Yuan, Bernard Ghanem
2013	J	`jnl`	A primal method for multiple kernel learning. Neural Comput. Appl. Zhifeng Hao, Ganzhao Yuan, Xiaowei Yang, Zijie Chen
2013	J	`jnl`	Low-rank quadratic semidefinite programming. Neurocomputing Ganzhao Yuan, Zhenjie Zhang, Bernard Ghanem, Zhifeng Hao
2012	J	`jnl`	Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy CoRR Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy. Proc. VLDB Endow. Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett, Xiaokui Xiao, Yin Yang, Zhifeng Hao
2012	J	`jnl`	Multilevel thresholding for image segmentation through Bayesian particle swarm optimisation. Int. J. Model. Identif. Control. Yunzhi Jiang, Zhifeng Hao, Ganzhao Yuan, Zhenlun Yang