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Jianjun Hu CV Associate Professor Department of Computer
Science and Engineering Email: jianjunh_AT_cse.sc.edu Office hours:TBD |
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Teaching
Spring 2018 Mobile Application Development
(CSCE546) |
Research Interests My research interests are in the areas of machine learning, deep learning, data mining, big data, evolutionary computation and their applications in bioinformatics, material informatics, and health informatics. Our research has been sponsored by NSF, NIH, Nvidia, and the South Carolina Department of Transportation. Currently, our major research focus is developing deep learning algotrithms for solving challenging application problems such as:
For more information, pls visit my lab's homepage here: Machine Learning and Evolution Group (MLEG) |
Bio: I joined CSE department of the University of South Carolina in August 2007. I am now working on deep learning, data mining and their applications in audio processing, material informatics, bioinformatics, and health informatics. I got my Ph.D. in Computer Science in the area of machine learning and particularly evolutionary computation at the Genetic Algorithm Research and Application Group (GARAGe) of Michigan State University. My dissertation focuses on sustainable evolutionary computation algorithms and automated computational synthesis. I have worked as Postdoc at Purdue University Computational Molecular Biology Division at the University of Southern California. |
Education
Postdoc | University of Southern California, Computational Molecular Biology | 09/05 - 06/07 |
Postdoc | Purdue University, Biological Science | 09/04 - 08/05 |
Ph.D. | Michigan State University, Computer Science | 08/00 - 07/04 |
M.S. | Wuhan University of Technology, China, Mechanical Engineering | 07/95 - 04/98 |
B.S. | Wuhan University of Technology, China, Mechanical Engineering | 09/91 - 07/95 |
Selected Publications [Complete List]
Dissertation
J. Hu. Sustainable Evolutionary Algorithms and Scalable Evolutionary Synthesis of Dynamic Systems”, PhD thesis, Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, 48823, USA, 2004. Advisor: Erik GoodmanSelected Journal Publications
Conference Publications
1 | A. Mondal and J. Hu, "Protein Localization by Integrating Multiple Protein Correlation Networks", Proceeding of 2012 International Conference on Bioinformatics and Computational Biology (BIOCOMP12), 2012 |
2 | A. Mondal and J. Hu, "NetLoc: Network Based Protein Localization Prediction Using Protein-Protein Interaction and Co-expression Networks", Proceeding of IEEE International Conference on Bioinformatics & Biomedicine (BIBM2010) |
3 | F. Zhang and J. Hu, "Bayesian Classifier for Anchored Protein Sorting Discovery", Proceeding of 2009 IEEE International Conference on Bioinformatics & Biomedicine (BIBM09: Nov1-4 2009, USA). |
4 | J. Hu and F. Zhang (2009), Improving Protein Localization Prediction Using Amino Acid Group Based Physichemical Encoding”. Lecture Notes in Computer Science. Bioinformatics and Computational Biology BiCoB2009. 5462/2009. Springer Berlin / Heidelberg |
5 | J. Hu, X. Zhong, E. Goodman, “Open-ended Robust Design of Analog filters Using Genetic Programming”, Proc. Genetic and Evolutionary Computation Conference. (Best paper nominee), 2005 |
6 | J. Hu, E. Goodman, “Robust and Efficient Genetic Algorithms with Hierarchical Niching and Sustainable Evolutionary Computation Model”, Proc.Genetic and Evolutionary Computation Conference.2004 |
7 | J. Hu, E. Goodman, “Wireless Access Point Configuration by Genetic Programming”, Proc. IEEE Congress on Evolutionary Computation (CEC) 2004. |
8 | J. Hu, E. Goodman, and R. Rosenberg, “Topological search in automated mechatronic system synthesis using bond graphs and genetic programming”, Proc. of American Control Conference (ACC), 2004. |
9 | J. Hu, K. Seo, Z. Fan, R. Rosenberg, and E. Goodman, " HEMO: A Sustainable Multi-Objective Evolutionary Optimization Framework", Proc. 2003 Genetic and Evolutionary Computation Conference, Chicago, Springer, Lecture Notes in Computer Science, July, pp. 1029-1040, 2003 |