研究领域

• 现主要研究方向：

  (1) 半定规划

  (2) 矩阵优化

  
  

论文成果 More>>

• A proximal-proximal majorization-minimization algorithm for nonconvex rank regression problems,Peipei Tang, Chengjing Wang, Bo Jiang.IEEE Transactions on Signal Processing,2023,71:3502-3517
• A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems,Chengjing Wang, Peipei Tang.Journal of Scientific Computing,2023,96
• An efficient algorithm for a class of large-scale support vector machines exploiting hidden sparsity,Niu Dunbiao,Wang Chengjing,Tang Peipei,Wang Qingsong,Song Enbin.IEEE Transactions on Signal Processing,2022,70:5608-5623
• A dual symmetric Gauss-Seidel alternating direction method of multipliers for hyperspectral sparse unmixing,Ren Longfei,Wang Chengjing,Tang Peipei,Ma Zheng.Numerical Algorithms,2021,87:719–754
• A sparse semismooth Newton based proximal majorization-minimization algorithm for nonconvex square-root-loss regression problems,Tang Peipei,Wang Chengjing,Sun Defeng,Toh Kim-Chuan.Journal of Machine Learning Research,2020,20:1-38

专利

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著作成果

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科研项目

• 四川省科技厅项目（2012ZR0154）“金融、统计中大规模半定规划问题的算法及软件设计”
• 教育部项目（12YJC910008）“统计学中几类大规模非线性半定规划问题的算法”
• 国家自然科学基金青年基金项目（11201382）“基于二次规划的大规模非线性半定规划问题的理论、算法研究及软件设计”