B.S. in Electrical Engineering
Donghua University, Shanghai, China

M.S. in Electrical and Computer Engineering
Donghua University, Shanghai, China

Ph.D. in Computer Science
University of Kentucky, Lexington, USA

CPS 3440 ANALYSIS OF ALGORITHMS

CPS1231 FUND. OF COMPUTER SCIENCE Java I

Dr. Changjiang Zhang received his BS and MS in Electrical Engineering and Computer Science from Donghua University, Shanghai, in 1983 and 1986 respectively, and his PhD in Computer Science from the University of Kentucky, USA in 2011.

His first job is a teaching position at Dong Hua University. He had worked as a teaching assistant and lecturer for 6 years (from Jan. 1986-Dec. 1992). He joined the IT industry in 1993 and worked for several companies in Shenzhen, such as Shenzhen MINDRAY Medical International Co., Ltd., Huawei Technologies, etc. He had also worked for seven years as a senior software developer, and lead developer in the financial sector in Chicago, USA for two trading companies. He has 15+ years of experience in the IT industry in China and the USA.

He continued his teaching career when he joined Wenzhou-Kean University in Aug. 2014. As an assistant professor in Computer Science, he worked for WKU for five and half years, providing quality teaching for students and conducting research activities with students. He instructed many courses at WKU, such as CPS 1032 (Microcomputer Applications), CPS 1231 (Fundamentals of Computer Science, Java I), CPS 2390 (Computer Organization & Architecture), CPS 3740 (Database Management Systems), CPS 3962 (Object Oriented Analysis & Design), CPS 4150 (Computer Architecture and System Programming), CPS 4410 (System Modeling and Simulation), CPS 3440 (Analysis of Algorithms), CPS 3250 (Operating System Concepts), and TECH 3525(Introduction to Unix and Linux).

In Feb. 2020, he joined UIC (BNU-HK BU United International College), as an assistant professor in the data science department. He had worked for UIC for four and a half years. He instructed several courses at UIC, such as DS2003(Fundamentals of Database Systems), COMP3013 (Database Systems), DS 2013/2043(Data Processing Workshop I – Python and libraries), DS 3003/3043 (Data Processing Workshop II-Big data analysis), DS3013 (Data Processing Workshop III- Statistical Modeling and Machine Learning), FYP (Final Year Project), COMP 3033 (Operating Systems), DS 2033(Linux System Management and Programming), DS1013 (Python for Beginners), GCAP13 (Comprehensive Practical Training on Big Data and AI).

Since Aug. 2024, Dr. Zhang has rejoined WKU as a lecturer in the Computer Science Department. Currently, he is teaching two courses: CPS 3440 (Analysis of Algorithms) and CPS 1231 (Fundamentals of Computer Science, Java I) for students.

Parallel and Scientific Computing, Computer Simulation, Software Engineering, Big Data analysis, Machine Learning, AI, etc.

Conference Proceedings:

[34] Z. Tang, C. Wu, Y. Xiao, C. Zhang, “Evaluation of Painting Artistic Style Transfer Based on Generative Adversarial Network”, the 8^th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA 2023), Chengdu, China, 2023, pp. 560-566

[33] J. Xu, W. Qu, D. Li, C. Zhang, “The Music Generation Road from Statistical Method to Deep Learning”, The 8^th IEEE International Conference on Computer and Communications (ICCC 2022), Chengdu, China, 2022, pp. 1628-1633

[32] Haowen Tang, Yikun Gu, and Xinyu Yang, “Music Generation with AI technology, Is It possible?”, 2022 IEEE 5^th International Conference on Electronics Technology (ICET), Chengdu, China, 2022

[31] Jianlong Li, Siyuan Wang, Zhihang Zhu, Minghao Liu, Changjiang Zhang and Bingyan Han, “Stock Prediction Based on Deep Learning and its Application in Pairs Trading”, 2022 International Symposium on Networks, Computers and Communications (ISNCC): Artificial Intelligence and Machine Learning, Shenzhen, China, 2022

[30] Xinlei Feng, Yi Liu, Changjiang Zhang, A Class Attendance System Based on Cloud Face Recognition for Multi-users, The 7^th IEEE International Conference on Computer and Communications (ICCC 2021), Chengdu, China

[29] Huiming Zhang, Xinlei Feng, Hongyu Liu, Ping Guo, Sujatha Krishnamoorthy, Changjiang Zhang, Cloud-Based Class Attendance Record system, 2019 5^th IEEE International Conference on Computer and Communications (ICCC 2019), Chengdu, China

[28] Ping Guo, Changjiang Zhang, Sparse Matrix Selection for CSR-Based SpMV Using Deep Learning, 2019 5^th IEEE International Conference on Computer and Communications (ICCC 2019), Chengdu, China

[27] Yuefei Chen, Junyan Dai, Changjiang Zhang, A Novel Neural Network Model of the NBA Most Valued Player Selection Prediction, PRAI 2019, Aug. 26-28, Wenzhou, China

[26] Tianshu Li, Hanxing Hu, Yu Meng, and Changjiang Zhang, Machine Learning and Emotional Fluctuation System to Indicate Game Quality and Foreboding Anticipating Players in Future Serials of Games, ICCC 2018, Dec. 7-10, Chengdu, China

[25] Ping Guo, Changjiang Zhang, Performance Prediction for CSR-Based SpMV on GPUs Using Machine Learning, ICCC 2018, Dec. 7-10, Chengdu, China

[24] Tianyou Bao, Jingsong Li, Hanxing Hu, Shiang Li, Yu Meng, Changjiang Zhang, A New Optimized Queueing Model with Compensation and Buffer, BIBM 2018, Dec. 3-6, Madrid, Spain

[23] Tianshu Li, Yuefei Chen, Changjiang Zhang, A Novel Word Cloud Graph System Design for Movie Comments, ICCBB 2018, Nov. 14-17,Fuzhou, China

[22] Qiming Sun, Ping Guo, Changjiang Zhang, An Auxiliary Notification System for Amnesiac Patients Based on Face Recognition and Voice Synthesis Using Cloud Computing, the 3^rd International Conference on Artificial Intelligence and Robotic (ICAIR 2018), Chengdu, China

[21] Nuo Xu, Leng Leng Lim, Changjiang Zhang and Aloysius Wong, Bioinformatic analysis of nucleotide cyclase functional centers and development of ACPred webserver, ACM-BCB 2018, Washington, DC, USA

[20] Lu Lu, T. M. Michelena, Aloysius Wong, Changjiang Zhang and Yu Meng, The inhibition of acetylcholinesterase by a brain-targeting polylysine-ApoE peptide: iochemical and structural characterizations, 40^th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC18), Honolulu, HI, USA

[19] Tianshu Li, Yuefei Chen, Changjiang Zhang, A Novel Word Cloud Graph System Design for Movie Comments, ICCBB 2018, Fuzhou, China

[18] Ping Guo, Changjiang Zhang, Performance Prediction for CSR-Based SpMV on GPUs Using Machine Learning, The 4^th International Conference on Computer and Communications (ICCC 2018), Chengdu, China

[17] Anyang Yu, Haonan Zhao, Changjiang Zhang and Yu Meng, An Indoor Airflow Simulation and Airborne Dust Concentration Analysis, The 10^th International Conference on Computer Modeling and Simulation (ICCMS 2018), Sydney, Australia

[16] Sunhao Hu, Lu Lu, Xinbin Jin, Yinyin Jiang, Haowen Zheng, Qiufan Xu, Fangfang Cai, Yu Meng, Changjiang Zhang, The Recommender System for a Cloud-Based Electronic Medical Record System for Regional Clinics and Health Centers in China, 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017), Kansas City, MO, USA, Nov. 13-16, 2017

[15] Lu Lu, Sunhao Hu, Xinbin Jin, Yinyin Jiang, Haowen Zheng, Qiufan Xu, Fangfang Cai, Yu Meng, Changjiang Zhang, A Design of  Cloud-Based Electronic Medical Record System with Outpatient Service and Phaymacy Management for Regional Clinics and Health Centers in China, 2017 6^th International Conference on Computer Technology and Science(ICCTS 2017), Singapore, Dec. 8-10, 2017

[14] Qiming Sun, Yu Meng, Changjiang Zhang, Design and Implementation of an Intelligent

Biology Vocabulary Learning Cloud System for College Students, 2017 3^rd IEEE International Conference on Computer and Communications, Chengdu, China

[13] Ping Guo, Changjiang Zhang, Multi-GPU Implementation and Performance Optimization for CSR-Based Sparse Matrix-Vector Multiplication, 2017 3^rd IEEE International Conference on Computer and Communications, Chengdu, China

[12] An Zhu, Yu Meng, Changjiang Zhang, An Improved Adam Algorithm using Look-ahead, Proceedings of the 2017 ACM International Conference on Deep Learning Technologies, Chengdu, China, pp. 19-22

[11] Ping Guo, Changjiang Zhang, Performance Optimization for SpMV on Multi-GPU Systems Using Threads and Multiple Streams, Proceedings of  the 7^th Workshop on Applications for Multi-Core Architectures 2016(Wamca 2016), Los Angeles, USA, Sept. 2016

[10] Lijun Pan, Xiaoting Fu, Fangfang Cai, Yu Meng, Changjiang Zhang, A Novel Electronic Medical Record System for Regional Clinics and Health Centers in China: Design and Its Application, Proceedings of  IEEE International Conference on Bioinformatics and Biomedicine, Shenzhen, China, Dec. 2016

[9] Lijun Pan, Xiaoting Fu, Fangfang Cai, Yu Meng, Changjiang Zhang, Design a Novel Electronic Medical Record System for Regional Clinics and Health Centers in China, Proceedings of 2^nd IEEE International Conference on Computer and Communications, Chengdu, China, October, 2016

[8] Jiangyue Yan, Changjiang Zhang, Yu Meng, An All-In-One Model: Computer Simulation of Population Genetics and Evolution Under Hardy-Weinburg Conditions, Proceedings of 2^nd IEEE International Conference on Computer and Communications, Chengdu, China, October, 2016

[7] Changjiang Zhang， A Novel Graphical UI Design for Futures Trading, Proceedings of 1^st  IEEE International Conference on Computer and Communications, 30-34, Chengdu, China, October, 2015

[6] Changjiang Zhang, Kimberly Forsten-Williams, Michael Fannon, Wehsheng Shen, and Jun Zhang, Parallel Simulation of Multiple Proteins Through a Bioreactor Coupled with Biochemical Reactions, Proceedings of ACM 2011 Int’l Conf. on Bioinformatics and Computational Biology, 20-28, Chicago, USA, August, 2011

[5] Changjiang Zhang, Kimberly Forsten-Williams, Bing Zhao, Michael Fannon, and Jun Zhang, Coupling Between Heparan Sulfate Proteoglycans and FGF-2 Receptors is Key to FGF-2 Capture Under Flow: A Computational Study, Proceedings of ACM 2010 Int’l Conf. on Bioinformatics and Computational Biology, 439-441, Niagara Falls, USA, August 2010

[4] Changjiang Zhang, Wensheng Shen, Bing Zhao, Michael Fannon, Kimberly Forsten-Williams, Jun Zhang, A Numerical Study of Pulsatile Flow Through a Hollow Fiber Cartridge: Growth Factor-Receptor Binding and Dissociation Analysis, Proceedings of 2009 Int’l Conf. on Bioinformatics, System Biology and Intelligent Computing, 435-441, Shanghai, China, August, 2009

[3] Changjiang Zhang, Wensheng Shen, Kimberly Forsten-Williams, Michael Fannon, Jun Zhang, Simulation of FGF-2 binding with receptors on cell surface on the wall in a bioreactor system, Proceedings of 2008 Int’l Conf. Bioinformatics and Computational Biology, 724-727, Las Vegas, USA, August, 2008

[2] Wensheng Shen, Kimberly Forsten-Williams, Michael Fannon, Changjiang Zhang, and Jun Zhang, Multigrid accelerated computation of ligand-receptor interactions under flow condition, Proceedings of World Congress on Engineering and Computer Science 2009, 949-954, San Francisco, USA, October, 2009

[1] Wensheng Shen, Changjiang Zhang, and Jun Zhang,  Multiscale simulation of ligand-receptor binding and dissociation in circulation, proceedings of the 45th ACM Southeast conference 2007, 519-520, Winston-Salem, North Carolina, USA, March, 2007

Journal Publications

[6] Jue Wu, Lei Yang, Tianrui Li, Changjiang Zhang, Zhihui Li, Rule-based fuzzy classifier based on quantum ant optimization algorithm, Journal of Intelligent & Fuzzy Systems, 2015, 29（6）： 2365 – 2371

[5] Bing Zhao, Changjiang Zhang, Kimberly Forsten-Williams, Jun Zhang, Michael Fannon, Endothelial Cell Capture of Heparin-binding Growth Factors under Flow, PLoS Computational Biology, 2010, 6（10）: e1000971.

[4] Wensheng Shen, Changjiang Zhang, Jun Zhang and Xiaoqian Ma, Newton Method for Nonlinear Dynamic Systems with Adaptive Time Stepping, Journal of Universal Computer Science, 2010, 16（6）：891 - 902

[3] Wensheng Shen, Kimberly Forstern-Williams, Michael Fannon, Changjiang Zhang, and Jun Zhang, Multigrid finite volume method for FGF-2 transport and binding, Lecture Notes in Electrical Engineering, 2010, 68: 297 - 310

[2] Wensheng Shen, Changjiang Zhang, Michael Fannon, Kimberly

Forstern-Williams, Jun Zhang^*, A computational model of FGF-2 binding and HSPG regulation under flow, IEEE Transations on BioMed. Eng. , 2009, 56（9）: 2147 - 2155

[1] Michael Fannon, Bin Zhao, Changjiang Zhang, Jun Zhang, Wensheng Shen, Kimberly Forstern-Williams, Heparan Sulfate enhances Capture of Heparin-Binding Growth Factors Under flow, Arterioscler Thromb Vasc Biol 2009, 29（7）：127