师资队伍

姓 名：谢家新

职 称：副教授

所属系别：计算科学系

学科专业：计算数学

办公地点：沙河校区主E605-3

电子邮箱：xiejx@buaa.edu.cn

个人主页：https://sites.google.com/view/xiejx

教育背景

• 2008.09-2012.06 湖南大学 数学学院 学士

• 2010.09-2011.06 山东大学 数学学院 交流培养

• 2012.09-2017.06 湖南大学 数学学院 博士

工作简历

• 2017.07-2019.06 中国科学院 数学与系统科学研究院 博士后

• 2019.06-至今 hjc888老品牌黄金城 - 新黄金城xhjc官方网站

• 2023.11-2024.01 香港理工大学 应用数学系

科研项目

• 北京航空航天大学，青年拔尖，数据科学中的几类数学问题及应用研究，2022，主持

• 国家自然科学基金，青年基金, 与交错多项式族相关的若干问题研究，2021-01至2023-12，主持

• 国家自然科学基金，面上项目，基于压缩感知的具有稀疏展开的多元函数的恢复，2021-01至2024-12，参加

• 北京市自然科学基金，重点研究专题，基于实际观测类型图像重建的理论和算法，2019-01至2022-12，参加

• 中国博士后科学基金，面上资助，无相位信息下的信号重构问题研究，2017-11至2019-06，主持

• 中国博士后科学基金，中科院“率先行动”优秀博士后项目，稀疏恢复中的若干理论和算法研究，2017-07至2019-06，主持

代表作论著

• A distributed Douglas-Rachford splitting method for solving linear constrained multi-block nonconvex problems, with Leyu Hu, Xingju Cai, and Deren Han, submitted.

• On greedy multi-step inertial randomized Kaczmarz method for solving linear systems，with Yansheng Su, Yun Zeng, Deren Han, arXiv:  , 2023

• Fast stochastic dual coordinate descent algorithms for linearly constrained convex optimization, with Yun Zeng, Deren Han, Yansheng Su, arXiv: , 2023

• The linear convergence of the greedy randomized Kaczmarz method is deterministic, with Yansheng Su, Yun Zeng, Deren Han, arXiv:  , 2023

• On adaptive stochastic heavy ball momentum for solving linear systems, with Yun Zeng, Deren Han, Yansheng Su, arXiv:2305.05482, 2023

• Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems, with Yun Zeng, Deren Han, Yansheng Su, Numerical Algorithms, https://doi.org/10.1007/s11075-023-01540-x, 2023.

• A greedy randomized average block projection method for linear feasibility problems, with Lin Zhu, Yuan Lei, arXiv:2211.10331, 2023.

• The sequential quadratic programming for symmetric pareto eigenvalue complementarity problem, with Lin Zhu, Yuan Lei, to appear in Pacific Journal of Optimization, 2023

• On pseudoinverse-free randomized methods for linear systems: Unified framework and acceleration, with Deren Han, arXiv:2208.05437

• Randomized Douglas-Rachford method for linear systems: Improved accuracy and efficiency, with Deren Han and Yansheng Su, arXiv:2207.04291

• Graph Sparsification by Universal Greedy Algorithms, with Ming-jun Lai, Zhiqiang Xu, Journal of Computational Mathematics, 41 (2023), pp. 741-770.

• A note on restricted invertibility with weighted columns, arXiv: 2005.01070

• Upper and lower bounds for matrix discrepancy, with Zhiqiang Xu and Ziheng Zhu, Journal of Fourier Analysis and Applications, 28, 81 (2022)

• A symmetric alternating minimization algorithm for total variation minimization, with Yuan Lei, Signal Processing, 176, 2020, 107673

• Subset Selection for Matrices with Fixed Blocks, with Zhiqiang Xu, Israel Journal of Mathematics, 245, 1 (2021)

• Positive operators on extended second order cones, with Sándor Németh and Guohan Zhang, Acta Mathematica Hungarica, 160, 390–404 (2020)

• On inexact ADMMs with relative error criteria, Computational Optimization and Applications, 2018, 71(3): 743-765

• A new accelerated alternating minimization method for analysis sparse recovery, with Anping Liao, Yuan Lei, Signal Processing, 2018, 145: 167-174.

• An inexact alternating direction method of multipliers with relative error criteria, with Anping Liao and Xiaobo Yang, Optimization Letters, 2017, 11(3): 583-596.

• A remark on joint sparse recovery with OMP algorithm under restricted isometry property, with Xiaobo Yang and Anping Liao, Applied Mathematics and Computation, 2018, 316: 18-24.

• Analysis of convergence for the alternating direction method applied to joint sparse recovery, with Anping Liao and Xiaobo Yang, Applied Mathematics and Computation, 2015, 269: 548-557.

• Number of Solution for the Sparse Signal Recovery Problem，with Anping Liao, Miao Yang and Kun Shen, Chinese Journal of Engineering Mathematics, 2015 32(5): 643-649.

• The exact recovery of sparse signals via orthogonal matching pursuit, with Anping Liao, Xiaobo Yang and Peng Wang, Journal of Computational Mathematics, 2016, 34(1): 70-80.

教学活动

• 《数值分析》、《应用泛函分析》、《三、四年级研讨课》、《科研课堂》、《数学与统计实验》

• 慕课《应用泛函分析》，感兴趣的同学可以去《学堂在线》注册、关注并学习

推荐链接

• https://www.global-sci.org/intro/article_detail/mc/12005.html

• https://scholar.google.com/citations?user=3tF00NEAAAAJ&hl=zh-CN&oi=ao, this is my google scholar

兴趣爱好

我的个人兴趣包括羽毛球，篮球，扑克牌等，每周大概2-3次的羽毛球或篮球活动。