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何洪津
2019-03-11 13:29     (点击：)

基本信息：

姓名：何洪津

专业：计算数学（优化计算）

职称：教授

E-mail：hehongjin@navbocai.com or hehjmath@hotmail.com

办公室：包玉书9号楼306-2室

Google Scholar： //scholar.google.com/citations?user=ZBKcU8sAAAAJ&hl=zh-CN

个人简介：

何洪津，湖南郴州人，2012年6月博士毕业于南京师范大学计算数学专业，师从孙文瑜教授和韩德仁教授。2013年8月-2014年8月在台湾中山大学从事博士后研究，导师徐洪坤教授。2011-2019年期间，曾多次受邀访问澳大利亚科廷大学、香港理工大学、香港浸会大学、台湾中山大学、台湾高雄医学大学。主要研究兴趣为结构型优化、变分不等式和（张量特征值）互补问题及其在信号/图像处理、统计学习、交通管理等领域中的应用。研究成果发表在Numerische Mathematik、Inverse Problems、Journal of Scientific Computing、Computational Optimization and Applications 等国际权威期刊，主持和参与完成国家、省、市自然科学基金项目10余项。

研究方向：

  • 非线性规划 Nonlinear Programming;

  • 变分不等式和互补问题 Variational Inequalities and Complementarity Problems

  • 张量分析与计算 Tensor Analysis and Computation

工作经历：

  • 2021.05-至今  宁波大学 博彩导航

  • 2012.06-2021.05   杭州电子科技大学 理学院  

  • 2016.08-2017.01 新疆理工学院（原：新疆大学科学技术学院（阿克苏校区）） 援疆教师

  • 2013.08-2014.08  台湾中山大学 应用数学系 博士后 （导师：徐洪坤教授）

期刊论文：

  1. Zhiyuan Zhang, Chen Ling, Hongjin He, and Liqun Qi*, A tensor train approach for internet traffic data completion, Annals of Operations Research, doi: 10.1007/s10479-021-04147-4, to appear.

  2. Yingxin Zhou, Hongjin He*, and Linan Zhang, A proximal alternating direction method of multipliers for DC programming with structured constraints, Journal of Scientific Computing, 99 (2024) Article No. 89 (35 pages).

  3. Xiaofan Lu, Linan Zhang*, and Hongjin He, Structured model selection via l1-l2 optimization, Inverse Problems, 40 (2024) 015011 (28pp).

  4. Yunfei Qu, Hongjin He, and Deren Han*, A partially inertial customized Douglas-Rachford splitting method for a class of structured optimization problems, Journal of Scientific Computing, 98 (2024) Article No. 9 (24 pages).

  5. Chenjian Pan, Chen Ling, Hongjin He*, Liqun Qi*, and Yanwei Xu, A Low-rank and sparse enhanced Tucker decomposition approach for tensor completion, Applied Mathematics and Computation, 465 (2024) 128432.

  6. Fan Jiang, Zhiyuan Zhang, Hongjin He*, Solving saddle point problems: A landscape of primal-dual algorithm with larger stepsizes, Journal of Global Optimization, 85 (2023) 821-846.

  7. Kai Wang, Jintao Yu, and Hongjin He*, A partially inexact generalized primal-dual hybrid gradient method for saddle point problems with bilinear couplings, Journal of Applied Mathematics and Computing, 69 (2023) 3693-3719.

  8. Hongjin He, Chen Ling* and Wenhui Xie, Tensor completion via a generalized transformed tensor T-product decomposition without t-SVD, Journal of Scientific Computing, 93 (2022) Article No. 47 (35 pages).

  9. Chi-Sheng Chuang, Hongjin He*, and Zhiyuan Zhang, A unified Douglas-Rachford algorithm for generalized DC programming, Journal of Global Optimization, 2022, 82: 331-349.

  10. Haibin Chen, Hongjin He*, Yiju Wang, and Guanglu Zhou, An efficient alternating minimization method for fourth degree polynomial optimization, Journal of Global Optimization, 2022, 82: 83-103.

  11. Hongjin He* and Lulu Zhao, A doubly sparse and low-patch-rank prior model for image restoration, Applied Mathematical Modelling, 112 (2022) 786-799.  

  12. Chen Ling, Hongjin He, Liqun Qi*, Singular values of dual quaternion matrices and their low-rank approximations, Numerical Functional Analysis and Optimization, 43 (2022)1423-1458.

  13. Hongjin He, Xueli Bai, Chen Ling, and Guanglu Zhou*, An index detecting algorithm for a class of TCP(A,q) equipped with nonsingular M-tensors, Journal of Computational and Applied Mathematics, 2021, 394: 113548.

  14. Zhiyuan Zhang and Hongjin He*, A customized low-rank prior model for structured cartoon-texture image decomposition, Signal Processing: Image Communication, 2021, 96:116308.

  15. Chenjian Pan, Chen Ling*, and Hongjin He, Adaptive multi-dimensional low-rank balance methods for tensor completion problems, Pacific Journal of Optimization, 2021, 17: 595-615.

  16. Xueli Bai, Hongjin He*, Chen Ling, Guanglu Zhou, A nonnegativity preserving algorithm for multilinear systems with nonsingular M-tensors, Numerical Algorithms, 2021, 87: 1301-1320.

  17. Xiaoyu Mao, Hongjin He*, and Hong-Kun Xu, A partially proximal linearized alternating minimization method for finding Dantzig selectors, Computational and Applied Mathematics, 2021, 40:62.

  18. Kai Wang and Hongjin He*, A double extrapolation primal-dual algorithm for saddle point problems, Journal of Scientific Computing, 2020, 85, Article Number: 30: 1-30.

  19. Chen Ling, Weijie Yan, Hongjin He*, Liqun Qi, Further study on tensor absolute value equations, Science China: Mathematics, 2020, 63: 2137-2156.

  20. Wanbin Tong, Hongjin He, Chen Ling*, and Liqun Qi, A nonmonotone spectral projected gradient method for tensor eigenvalue complementarity problems, Numerical Algebra, Control and Optimization, 2020, 10(4):425-437.

  21. Liyun Ling, Chen Ling, and Hongjin He*, Properties of the solution set of generalized polynomial complementarity problems, Pacific Journal of Optimization, 2020,16(1): 155-174.

  22. Liyun Ling, Chen Ling, and Hongjin He*, Generalized tensor complementarity problems over a polyhedral cone, Asia-Pacific Journal of Operational Research, 2020, 37(4) 2040006(23pages).

  23. Weijie Yan, Chen Ling, Liyun Ling, Hongjin He*, Generalized tensor equations with leading structured tensors, Applied Mathematics and Computation, 2019, 361: 311-324.

  24. Hongjin He, Chen Ling, Liqun Qi, Guanglu Zhou*, A globally and quadratically convergent algorithm for solving multilinear systems with M-tensors, Journal of Scientific Computing, 2018, 76: 1718-1741.

  25. Hongjin He, Liusheng Hou, and Hong-Kun Xu*, A partially isochronous splitting algorithm for three-block separable convex minimization problems, Advances in Computational Mathematics, 2018, 44: 1091-1115.

  26. Xihong Yan, Kai Wang, and Hongjin He*, On the convergence rate of scaled gradient projection method, Optimization, 2018, 67: 1365-1376.

  27. Peipei Chen, Hongjin He, Yeong-Cheng Liou*, and Ching-Feng Wen, Convergence rate of the CQ algorithm for split feasibility problems, Journal of Nonlinear and Convex Analysis, 2018, 19: 381-395.

  28. Liyun Ling, Hongjin He*, and Chen Ling, On error bounds of polynomial complementarity problems with structured tensors, Optimization, 2018, 67: 341-358.

  29. Wen Yu, Chen Ling, and Hongjin He, On the properties of tensor complementarity problems, Pacific Journal of Optimization, 2018, 14: 675-691.

  30. Hongjin He and Hong-Kun Xu*, Splitting methods for split feasibility problems with application to Dantzig selectors, Inverse Problems, 33 (2017) 055003 (28pp).

  31. Hongjin He and Hng-Kun Xu*, Perturbation resilience and superiorization methodology of averaged mappings, Inverse Problems, 2017, 33:044007.

  32. Hongjin He, Kai Wang, Xingju Cai, and Deren Han*, An LQP-based two-step method for structured variational inequalities, Journal of the Operations Research Society of China, 2017, 5:301—317.

  33. Chen Ling, Hongjin He*, and Liqun Qi, Improved approximation results on standard quartic polynomial optimization, Optimization Letters, 2017,11:1767-1782.

  34. Kai Wang, Jitamitra Desai*, and Hongjin He, A proximal partially parallel splitting method for separable convex programs, Optimization Methods and Software, 2017, 32: 39—68.

  35. Hongjin He and Deren Han*, A distributed Douglas-Rachford splitting method for multi-block convex minimization problems, Advances in Computational Mathematics, 2016, 42:27-53.

  36. Hongjin He, Chen Ling, and Hong-Kun Xu*, An implementable splitting algorithm for the L1-norm regularized split feasibility problem, Journal of Scientific Computing, 2016, 67(1):281-298.

  37. Chen Ling, Hongjin He*, and Liqun Qi, On the cone eigenvalue complementarity problem for higher-order tensors, Computational Optimization and Applications, 2016, 63: 143-168.

  38. Chen Ling, Hongjin He*, and Liqun Qi, Higher-degree eigenvalue complementarity problems for tensors, Computational Optimization and Applications, 2016, 64: 149-176.

  39. Liusheng Hou, Hongjin He, and Junfeng Yang*, A partially parallel splitting method for multiple-block separable convex programming with applications to robust PCA, Computational Optimization and Applications, 2016, 63:273-303.

  40. Hongjin He, Jitamitra Desai*, and Kai Wang, A primal-dual prediction correction algorithm for saddle point optimization, Journal of Global Optimization, 2016, 66:573—583.

  41. Kai Wang, Jitamitra Desai, and Hongjin He*, A note on augmented Lagrangian-based parallel splitting method, Optimization Letters, 2015, 9: 1199-1212.

  42. Hongjin He, Xingju Cai*, and Deren Han, A fast splitting method tailored for Dantzig selector, Computational Optimization and Applications, 2015, 62: 347-372.

  43. Hongjin He, Xingju Cai, and Deren Han*, A class of nonlinear proximal point algorithms for variational inequality problems, International Journal of Computer Mathematics, 2015, 92: 1385-1401.

  44. Hongjin He, Chen Ling, and Hong-Kun Xu*, A relaxed projection method for split variational inequalities, Journal of Optimization Theory and Applications, 2015, 166: 213-233.

  45. Hongjin He and Hong-Kun Xu*, A projection-based splitting method for structured variational inequality problems, Journal of Nonlinear and Convex Analysis, 2015, 16: 1539-1556.

  46. Deren Han, Hongjin He, Hai Yang, and Xiaoming Yuan*, A customized Douglas-Rachford splitting algorithm for separable convex minimization with linear constraints, Numerische Mathematik, 2014, 127: 167-200.

  47. Deren Han*, Hongjin He, and Lingling Xu, A proximal parallel splitting method for minimizing sum of convex functions with linear constraints, Journal of Computational and Applied Mathematics, 2014, 256: 36-51.

  48. Hongjin He, Deren Han, Wenyu Sun*, and Yannan Chen, A hybrid splitting method for variational inequality problems with separable structure, Optimization Methods and Software, 2013, 28: 725-742.

  49. Hongjin He, Deren Han*, and Zhibao Li, Some projection methods with the BB step sizes for variational inequalities, Journal of Computational and Applied Mathematics, 2012, 236: 2590-2604.

科研项目：

  1. 国家自然科学基金面上项目，No. 12371303，2024年1月-2027年12月，主持；

  2. 国家自然科学基金面上项目，No. 11771113，2018年1月-2021年12月，主持（已结题）；

  3. 国家自然科学基金青年项目，No. 11301123，2014年1月-2016年12月，主持（已结题）；

  4. 浙江省自然科学基金重点项目，No. LZ24A010001，2024年1月-2026年12月，主持.

  5. 浙江省自然科学基金一般项目，No. LY20A010018，2020年1月-2022年12月，主持（已结题）；

  6. 浙江省自然科学基金一般项目，No. LY17A010028，2017年1月-2019年12月，主持（已结题）;

  7. 宁波市自然科学基金重点项目, No. 2023J014, 2023年6月-2026年5月，主持；

  8. 宁波市“甬江引才工程”-创新个人项目，2022.01-2026.05，主持.

  9. 国家自然科学基金面上项目，No. 11971138，2020年1月-2023年12月，参与；

  10. 国家自然科学基金面上项目，No. 11571087，2016年1月-2019年12月，参与（已结题）；

  11. 国家自然科学基金面上项目，No. 71471051，2015年1月-2018年12月，参与（已结题）；

  12. 浙江省自然科学基金重大项目，No. LD19A010002，2019年1月-2022年12月，参与（已结题）；

  13. 浙江省自然科学基金重点项目，No. LZ14A010003，2014年1月-2017年12月，参与（已结题）.

学生项目与竞赛指导：

  1. 2021年浙江省大学生新苗人才计划项目(2021R407036)（负责人：陈澄），唯一指导老师;

  2. 2018年浙江省大学生新苗人才计划项目(2018R407035)（负责人：屈云飞），唯一指导老师;

  3. 2016年国家级大学生创新创业训练计划（负责人：陈佩佩）, 唯一指导老师.

  4. 2015年浙江省大学生新苗人才计划项目(2015R407038)（负责人：张乾），唯一指导老师.

  5. 全国大学生和研究生数学建模竞赛国家和省级奖项20余项。





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