Name：Lijun Yang
Title：Associate professor
Office：School of Mathematics and Statistics, room 308
Email：yanglijun@henu.edu.cn
Research Field：Intelligent Information Processing
Education：
2010.09-2013.06, Ph.D., Sun Yat-Sen University
2002.09-2005.07, Master of Science, Henan University
1998.09-2002.07, Bachelor of Science, Henan University
Position：
2016.12-, Henan University，Associate professor
2018.07-2019.07, Georgia Institute of Technology, Visiting scholar
2008.07-2016.12, Henan University, Lecturer
2005.07-2008.07, Henan University, Assistant professor
Selected publications：
1) Lijun Yang*, Sijia Ding, Feng Zhou, Xiaohui Yang and Yunhai Xiao, Robust EEG feature learning model based on an adaptive weight and pairwise-fused LASSO, Biomedical Signal Processing and Control, 68:102728, 2021.
2) Yixin Wang, Xiangru Zhu and Lijun Yang*, EEG depression recognition based on feature fusion of common spatial pattern and brain connectivity, Computer Engineering and Applications (in Chinese), Accepted, 2021.
3) Yixin Wang, Fengrui Liu and Lijun Yang*, EEG-Based Depression Recognition Using Intrinsic Time-scale Decomposition and Temporal Convolution Network, BIBE2021: The Fifth International Conference on Biological Information and Biomedical Engineering, July 2021 Article No.: 5Pages 1–6, https://doi.org/10.1145/3469678.3469683.
4) Qun Zhang, Lijun Yang and Feng Zhou*, Attention enhanced long short-term memory network with multi-source heterogeneous information fusion: An application to BGI Genomics, Information Sciences, 553:305-330, 2021.
5) Lijun Yang*, Shuang Li, Zhi Zhang, Xiaohui Yang, Classification of Phonocardiogram signals based on envelope optimization model and support vector machine, Journal of Mechanics in Medicine and Biology, 20(1):1950062(17 pages), 2020.
6) Lijun Yang, Sijia Ding, Hao Min Zhou and Xiaohui Yang, A strategy combining intrinsic time-scale decomposition and feedforward neural network for automatic seizure detection, Physiological Measurement, 40 (9)(2019) 095004 (15pp), 2019.
7) Xiaohui Yang, Wenming Wu, Yunmei Chen, Xianqi Li, Juan Zhang, Dan Long, Lijun Yang, An integrated inverse space sparse representation framework for tumor classification, Pattern Recognition, 93(2019)293-311.
8) Wen-Ming Wu, Xiao-Hui Yang, Yun-Mei Chen, Juan Zhang, Dan Long, Li-Jun Yang, Chen-Xi Tian, Layer-Wise Pre-Training Low-Rank NMF Model for Mammogram-Based Breast Tumor Classification, Journal of the Operations Research Society of China, 7:515–537, 2019.
9) Xiao-Hui Yang, Li Tian, Yunmei Chen, Lijun Yang, Shuang Xu, Weming Wu, Inverse projection representation and category contribution rate for robust tumor classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(4):1262-1275, 2020. DOI:10.1109/TCBB.2018.2886334.
10) Feng Zhou, Lijun Yang, Haomin Zhou and Lihua Yang. Optimal Averages for Nonlinear Signal Decompositions—Another Alternative for Empirical Mode Decomposition. Signal Processing, 2016, 121:17-29. ISSN: 0165-1684
11) Lijun Yang, Chao Huang and Zhihua Yang. The Model and Construction of Weak-IMFs. Computational & Applied Mathematics, 2015, 34(2):661-670．
12) Lijun Yang, Zhihua Yang and Lihua Yang*. The theoretical analysis for an iterative envelope algorithm. Digital Signal Processing, 2015, 38:32-42.
13) Chao Huang, Lijun Yang and Lihua Yang. ϵ-Mono-component: its Characterization and Construction, IEEE Transactions on Signal Processing, 2015, 63(1):234-243.
14) Xiaohui Yang, Jingjing Liu and Lijun Yang*. Product Image Classification Based on Fusion Feature. Chinese Quarterly Journal of Mathematics, 2015, 30(3):429-441.
15) Lijun Yang, Zhihua Yang, Feng Zhou and Lihua Yang. A Novel Envelope Model Based On Convex Constrained Optimization. Digital Signal Processing, 2014, 29:138-146．
Research Funding：
1. Researches on the key theory of empirical mode decomposition and its applications, National Natural Science Foundation of China (NO. 11701144), 2018.01-2020.12, PI.
2. EEG brain functional network analysis and its application in assisted identification of depression, Henan Province Key and Promotion Special (Science and Technology) Project (NO. 212102310305), 2021.01-2022.12, PI.
3. Time-frequency analysis and envelope mathematical model of signal, National Natural Science Foundation of China (Tianyuan fund for Mathematics, NO. 11426087), 2015.01-2015.12, PI.
4. Researches on the theory of empirical mode decomposition and its applications, Young Backbone Teacher project of Henan Province (NO. 2017GGJS020), 2018.01-2020.12, PI.
5. Researches on single component signal model and signal adaptive sparse decomposition algorithm (NO. 16A120002), 2016.01-2017.12, PI,
6. Researches on envelope theory, algorithm and single component signal, Scientific Research Foundation of Henan University, 2014.01-2015.12, PI.
7. The Basic Properties and Algorithms for High-Dimensional Semi-Parametric Regression Statistical Optimization Model, National Natural Science Foundation of China (NO. 11971149), 2020/01-2023/12, CO-PI.
8. Algorithms and Theory for Some Typical Sparse Optimization Problems with Applications, National Natural Science Foundation of China (NO. 11471101), CO-PI.
9. Web image retrieval based on multiscale geometry analysis and SVM, National Natural Science Foundation of China (NO. 60802061), CO-PI.
Teaching：
Signals and Systems; Pattern Recognition and Image Processing; Advanced Mathematics
