1. Nonlinear Optimization Algorithms and the Application in Industrial and Engineering Problems 
2. Mathematical Programming in Data Mining & Machine Learning

Ph.D in Computational Mathematics ,
Institute of Computational Mathematics and Scientific/Engineering Computing,
Academy of Mathematics and Systems Science(AMSS),
Chinese Academy of Sciences(CAS), Beijing.

Professor with the Research Center on Fictitious Economy and Data Science, School of Economics and Management, University of Chinese Academy of Sciences

（1） DigGCN: Learning Compact Graph Convolutional Networks via Diffusion Aggregation, IEEE Transactions on Cybernetics, 2022.

（2） Sparse CapsNet with explicit regularizer, Pattern Recognition, 2021. 

（3） Learning Robust Auto-Encoders With Regularizer for Linearity and Sparsity, IEEE Access, 2019.

（4） Diffusion network embedding, Pattern Recognition, 2019.

（5） Feature Selection With l(2,1-2) Regularization, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018.

（6） A fast algorithm for nonsmooth penalized clustering, Neurocomputing, 2018.

（7） Learning With Label Proportions via NPSVM, IEEE Transactions on Cybernetics, 2017.

（8） Nonparallel Support Vector Ordinal Regression, IEEE Transactions on Cybernetics, 2017. 

（9） Support Vector Machine Classifier with Truncated Pinball Loss, Pattern Recognition, 2017.

（10） Nonsmooth Penalized Clustering via Lp Regularized Sparse Regression, IEEE TRANSACTIONS ON CYBERNETICS, 2017.

（11） Two New Decomposition Algorithms for Training Bound-Constrained Support Vector Machines, Foundations of Computing and Decision Sciences , 2015.

（12） Validated solutions of mixed complementarity problems, Pacific Journal of Optimization, 2015.

（13） Kernel based simple regularizedmultiple criteria linear program for binary classification and regression, Intelligent Data Analysis, 2015.

（14） Semi-supervised classification with privileged information, International Journal of Machine Learning and Cybernetics, 2015.

（15） Alternating Direction Method of Multipliers for Nonparallel Support Vector Machines, IEEE International Conference on Data Mining, 2015.

（16） Large-Scale Linear Support Vector Ordinal Regression Solver, IEEE International Conference on Data Mining, 2015.

（17） Smoothing Trust Region for Digital Image Restoration, IEEE/WIC/ACM International Conference on Web Intelligence, 2015.

（18） A First-Order Decomposition Algorithm for Training Bound-Constrained, IEEE/WIC/ACM International Conferences on Web Intelligence, 2014,

（19） Optimality conditions and a smoothing trust region Newton method for nonLipschitz optimization, SAIM Journal on Optimization, 2013.

（20） Kernel-based simple regularized multiple criteria linear program for binary classifiaction problem, IEEE iternational Joint Conferences on Web Intelligence and Itelligent Agent Technologies, 2013.

（21） A simple decompostion alternating direction method for matrix completion, Procedia Computer Science 17, 2013.

（22） A simple regularized mulptiple criteria linear programs for binary classification, Procedia Computer Science 18, 2013.

（23） Training the max-margin sequence model with the relaxed slack variables, Neural Networks, 2012.

（24） Entity disambiguation with textual and connection information, Procedia Computer Science, 2012.

（25） Nonlinear L-1 Support Vector Machines for Learning Using Privileged Information, Proceedings - 2012 IEEE 12th International Conference on Data Mining Workshops, 2012.

（26） Learning Using Privileged Information with L-1 Support Vector Machine, Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, 2012.

（27） Entity resolution with attribute and connection graph, Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011, 2011.

（28） Parallel algorithm for training multiclass proximal Support Vector Machines, Applied Mathematics and Computation, 2011. 

（29） A parallel decomposition algorithm for training multiclass kernel-based vector machines, Optimization Methods and Software, 2011.

（30） Second-order Mining for Active Collaborative Filtering, Procedia CS , 2011.

（31） MSSVM: A Modular Solver for Support Vector Machines, 2011 IEEE/WIC/ACM International Conference on  Web Intelligence and Intelligent Agent Technology (WI-IAT) Workshop Preceeding, 2011.

（32） A New Trust-Region Algorithm for Nonlinear Constrained Optimization, Journal of Computational Mathematics , 2010. 

（33） A new training method for sequence data, Proceeding of the 10th International Conference of Computer Science, 2010.

（34） Using projection gradient method to train linear Support Vector Machines, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops Preceedings, 2010. 

（35） Semi-supervised PLSA for Document Clustering, ICDMW10 Proceedings of the 2010 IEEE International Conference on Data Mining Workshops, 2010. 

（36） Experiments with nonlinear extensions to SCIP, ZIB-Report, 2008. 

Former Students:

Ruizhi Zhou  

Xin Shen 

Hao Yuan  

Rongrong Ma  

Yan Li 

Huadong Wang

Jianyu Miao

Minglong Lei

Yang Xiao

Pei Quan

Shichao Guo

Yuhan Lin

Current Students:

Lei Zheng

Anda Tang 

Ruiyang Shi  

Yuanying Zhang

Chengqi Song

Ruibin Zeng

Haoze Li

Jincheng Zhang