Zhong Chen

Zhong Chen
Computational Scientist in Big Data Mining and Bioinformatics
Department of Computer Science, Xavier University of Louisiana
Bioinformatics Core of Xavier RCMI Center for Cancer Research, Xavier University of Louisiana, United States


Room 245, NCF Building
Xavier University of Louisiana (XULA), New Orleans 70125, United States


Email: zchen AT xula DOT edu 
Homepage (Github): https://pursuerchen.github.io/
Homepage (Worldwide): https://sites.google.com/xula.edu/zchen/home/
Department of Computer Science at XULA: https://www.xula.edu/department/department-of-physics-and-computer-science 

XULA Website: https://www.xula.edu/

[Google Scholar] [Github] [LinkedIn] [ResearchGate] [ORCiD]



Biography

I have received my Bachelor's, Master's, and Ph.D. degrees in Mathematics and Computer Science, Wuhan University of Technology (WUT), China, in 2010, 2012, and 2015, respectively. I am currently working as a Computational Scientist in the Department of Computer Science, Xavier University of Louisiana (XULA), New Orleans, United States.

My research interests include image processing, machine learning, data mining, online learning, convex/non-convex optimization, and deep learning. I have served as ad hoc reviewers for international journals including Technology in Cancer Research & Treatment, Complexity, Information Sciences, Neurocomputing, Cognitive Computation, IEEE Transactions on Medical Imaging, ACM Transactions on Knowledge Discovery from Data, Frontiers in Oncology, and Briefings in Bioinformatics; and international conferences such as ICDM'16, SDM'17, ICDM'17, ICDM'18, AIKE'18, ICAIS’19, AAAI'19, CIKM'19, ICDM'19, AAAI'20, ICDM'20, AAAI'21, and ICDM'21.

My co-authors include Prof. Kun Zhang (XULA), Prof. Zhide Fang (LSUHSC), Prof. Victor Sheng (TTU), Prof. Hongwen Deng (TU), Prof. Chindo Hicks (LSUHSC), Prof. Yongsheng Gao (GU), Prof. Zhixiang Fang (WU), Prof. Qin Zou (WU), and etc.


Education


Publications

First  Author;  Collaborative  Author)


    2021
  1. A Deep Imputation and Inference Framework for Estimating Personalized and Race-specific Causal Effects of Genomic Alterations on PSA [PDF]
    Zhong Chen*, Bo Cao, Andrea Edwards, Hongwen Deng, and Kun Zhang
    Journal of Bioinformatics and Computational Biology (JBCB), 2021 (Impact Factor: 1.055)

  2. Seeking The Exclusive Binding Region of Phenylalkylamine Derivatives on Human T-type Calcium Channels via Homology Modeling and Molecular Dynamics Simulation Approach [PDF]
    You Lu, Ming Li, Gi Young Lee, Na Zhao, Zhong Chen#, Andrea Edwards, and Kun Zhang
    Pharmacology Research & Perspectives (PRP), 2021 (Impact Factor: 2.052)

  3. Effective Cancer Subtype and Stage Prediction via Dropfeature-DNNs [PDF]
    Zhong Chen*, Wensheng Zhang, Hongwen Deng, and Kun Zhang
    IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 2021 (Impact Factor: 3.015)

  4. Adaptive Robust Local Online Density Estimation for Streaming Data [PDF]
    Zhong Chen*, Zhide Fang, Victor S Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang
    International Journal of Machine Learning and Cybernetics (JMLC), 12, pp. 1803–1824, 2021 (Impact Factor: 3.753)


  5. 2020
  6. Fusion Lasso and Its Applications to Cancer Subtype and Stage Prediction [PDF]
    Zhong Chen*, Andrea Edwards, and Kun Zhang
    The 11th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB’20), Virtual, 2020 (Short Paper, Acceptance Rate 17/130=13.1%)

  7. Inferring Personalized and Race-specific Causal Effects of Genomic Aberrations on Gleason Scores: A Deep Latent Variable Model [PDF]
    Zhong Chen*, Andrea Edwards, Chindo Hicks, and Kun Zhang
    Frontiers in Oncology (FIO), 2020 (Impact Factor: 4.848)


  8. 2019
  9. Learning Discriminative Subregions and Pattern Orders for Facial Gender Classification [PDF]
    Zhong Chen*, Andrea Edwards, Yongsheng Gao, and Kun Zhang
    Image and Vision Computing (IVC), 89, pp. 144-157, 2019 (Impact Factor: 3.103)


  10. 2018
  11. Online Density Estimation over Streaming Data: A Local Adaptive Solution [PDF]
    Zhong Chen*, Zhide Fang, Jiabin Zhao, Wei Fan, Andrea Edwards, and Kun Zhang
    IEEE International Conference on Big Data (BigData'18), Seattle, Washington, United States, 2018 (Regular Paper, Acceptance Rate 98/518=19.7%)


  12. 2017
  13. CSTG: An Effective Framework for Cost-sensitive Sparse Online Learning [PDF]
    Zhong Chen*, Zhide Fang, Wei Fan, Andrea Edwards, and Kun Zhang
    Proceedings of the 2017 SIAM International Conference on Data Mining (SDM'17), Houston, Texas, United States, 2017 (Regular Paper, Acceptance Rate 93/358=26.0%)


  14. 2016
  15. Construction Method of Concept Lattice Based on Improved Variable Precision Rough Set [PDF]
    Ruiling Zhang, Shengwu Xiong, and Zhong Chen#
    Neurocomputing (NC), 188, pp. 326-338, 2016 (Impact Factor: 4.438)


  16. 2015
  17. An Ontology-based Approach for Measuring Semantic Similarity Between Words [PDF]
    Ruiling Zhang, Shengwu Xiong, and Zhong Chen#
    International Conference on Intelligent Computing (ICIC'15), 9227, pp. 510-516, 2015 

  18. Personalized Route Planning System Based on Wardrop Equilibrium Model for Campus Evacuation [PDF]
    Pengfei Duan, Haohao Zhang, Shengwu Xiong, Siqin Zhou, Zhong Chen#, and Pengcheng Yang
    The 2nd International Symposium on Dependable Computing and Internet of Things (DCIT'15), 2015 

  19. An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China [PDF]
    Zhong Chen*, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, and Xiaohan Yu
    Advances in Multimedia (AIM), 2015 

  20. Topologically Ordered Feature Extraction Based on Sparse Group Restricted Boltzmann Machines [PDF]
    Zhong Chen*, Shengwu Xiong, Zhixiang Fang, Ruiling Zhang, Xiangzhen Kong, and Yi Rong
    Mathematical Problems in Engineering (MPIE), 2015 (Impact Factor: 1.009)


  21. 2014
  22. A Kernel Support Vector Machine-based Feature Selection Approach for Recognizing Flying Apsaras’ Streamers in the Dunhuang Grotto Murals, China [PDF]
    Zhong Chen*, Shengwu Xiong, Zhixiang Fang, Qingquan Li, Baolin Wang, and Qin Zou
    Pattern Recognition Letters (PRL), 49, pp. 107-113, 2014 (Impact Factor: 3.255)

  23. Subspace Clustering Mutation Operator for Developing Convergent Differential Evolution Algorithm [PDF]
    Zhongbo Hu, Shengwu Xiong, Xiuhua Wang, Qinghua Su, Mianfang Liu, and Zhong Chen#
    Mathematical Problems in Engineering (MPIE), 2014 (Impact Factor: 1.009)


  24. 2013
  25. Multiobjective Optimization of Evacuation Routes in Stadium Using Superposed Potential Field Network Based ACO [PDF]
    Jialiang Kou, Shengwu Xiong, Zhixiang Fang, Xinlu Zong, and Zhong Chen#
    Computational Intelligence and Neuroscience (CIN), 2013 (Impact Factor: 2.284)


Patents


    2017
  1. Image Saliency Detection Method [Web]
    Shengwu Xiong, Zhong Chen, Zhixiang Fang, Xiaohan Yu, and Baolin Wang
    Application Granted in 2017 (Patent Number: CN103714537A), 2017 

  2. Method for Extracting Cloud Heads and Tails from Cloud Cultural Elements in Dunhuang Murals [Web]
    Pengfei Duan, Shengwu Xiong, Zhong Chen, and Xijiao Liu
    Application Granted in 2017 (Patent Number: CN104200479A), 2017 


Projects


Academic Activities


Awards


External Links



Updated July 2021

Carson's (Zhong Chen) Homepage