个人简介
张羊晶，中国科学院数学与系统科学研究院应用数学研究所副研究员。研究方向为大规模稀疏优化，统计与机器学习中优化算法设计。
个人主页：https://sites.google.com/view/yangjingzhang/
工作经历
2025.04 - 今，副研究员，中国科学院数学与系统科学研究院
2021.10 - 2025.03，助理研究员，中国科学院数学与系统科学研究院
2019.06 - 2021.09 ，博士后，新加坡国立大学
教育经历
2014.08 - 2019.05，博士，新加坡国立大学，数学系
2010.08 - 2014.07，学士，清华大学，数学系
项目基金
科技部国家重点研发计划青年科学家项目“海量数据分析中的阶跃稀疏优化理论与方法”2024.01 - 2028.12，骨干成员
国家自然科学基金青年科学基金项目“带符号约束的非凸概率图模型问题的高效算法”2023.01 - 2025.12，主持
中国运筹学会青年人才发展专项“混合模型中非参极大似然估计法的高效求解”2022.08 - 2024.08，主持
学术论文
-
M. Lin, Z. Zeng, Y. Zhang, Multiple regression for matrix and vector predictors: Model, theory, algorithms, and beyond
Electronic Journal of Statistics, 18 (2024), pp. 5563-5600
-
M. Lin, Y. Zhang, DNNLasso: Scalable graph learning for matrix-variate data
Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 238 (2024), pp 316-324
-
Y. Zhang, Y. Cui, B. Sen, K.-C. Toh, On efficient and scalable computation of the nonparametric maximum likelihood estimator in mixture models
Journal of Machine Learning Research, 25 (2024), pp. 1-46
-
Y. Zhang, K.-C. Toh, D. Sun, Learning graph Laplacian with MCP
Optimization Methods and Software, 39 (2024), pp. 569-600
-
S. Wang, C. Ding, Y. Zhang, X. Zhao, Strong variational sufficiency for nonlinear semidefinite programming and its implications
SIAM Journal on Optimization, 33 (2023), pp. 2988-3011
-
H. Chu, K.-C. Toh, Y. Zhang, On regularized square-root regression problems: distributionally robust interpretation and fast computations
Journal of Machine Learning Research, 23 (2022), pp. 1-39
-
N. Zhang, Y. Zhang, D. F. Sun, K.-C. Toh, An efficient linearly convergent regularized proximal point algorithm for fused multiple graphical Lasso problems
SIAM Journal on Mathematics of Data Science, 3(2021), pp. 524-543
-
Y. Zhang, N. Zhang, D. F. Sun, K.-C. Toh, A proximal point dual Newton algorithm for solving group graphical Lasso problems
SIAM Journal on Optimization, 30 (2020), pp. 2197–2220
-
Y. Zhang, N. Zhang, D. F. Sun, K.-C. Toh, An efficient Hessian based algorithm for solving large-scale sparse group Lasso problems
Mathematical Programming, 179 (2020), pp. 223–263
联系方式
海淀区，中关村东路55号思源楼318，邮编：100190
a0123822@u.nus.edu
yangjing.zhang@amss.ac.cn