Sept-2017-Board-Book-Final-8-29-17.pdf — PaddleOCR-VL (Baidu)

CIT 105 Introduction to Computing
Instructor, Computer Science, Sullivan University, summer, 2004 Course taught at the undergraduate level:
CSC306 Systems Architecture
CSC206 Microsoft Office Publisher 2003
Teaching Assistant, Department of Computer Science, University of Kentucky (Spring 2003)
Course assisted at the undergraduate level:
CS101 Introduction of Computers.
Responsibility: Lab practices, tests. Help students learn the ideas that are being presented in lecture, and to practice them using a computer. Held office hours.
Instructor, Teaching Assistant and Associate Professor, Department of Mathematics, North China Electric Power University, Beijing, China (1990 - 1999) Courses taught at:
Graduate level: Numerical Analysis, Matrix Theory
Undergraduate level and two-year undergraduate level: Calculus (I-IV), College Algebra, Linear Programming and Operations Research, Discrete Math, Probability Theory and Statistics.

Shen, W. Li and M. Unmakhalu. Multistep Sparse Approximation Technology in Information Retrieval, International Journal of Computer Applications, accepted for publication in August, 2014
Cleland and C. Shen, A Science Gateway - MOWIC: Modern Web Interface for Cluster, International Journal of Computer Applications (IJCA), Vol. 61(9), pp. 8-15, January, 2013
Garrity, S. Bhattacharyya, C. Shen, D. Dawadi, and B. Panja, Detection and Classification of Vehicles Using Wireless Sensor Network Technology, Journal of Information Systems Technology Planning JISTP, Vol. 4, Issue 7, February 2011
Shen and Duran Williams, Sparse Matrix Computational Techniques in Concept Decomposition Matrix Approximation, Book Chapter of Advances in Computational Algorithms and Data Analysis, Springer publisher, pp.133-146, Vol. 14, 2008
Wang, J. Zhang and C. Shen, A Class of Parallel Multilevel Sparse Approximate Inverse Preconditioners for Sparse Linear Systems, Journal of Scalable Computing: Practice and Experience, pp. 93-106, Vol. 7, 2006