College of Intelligence and Computing
Associate professor
022-27406538
022-27406538
gongxj@tju.edu.cn
Building 55B, Peiyang Park Campus No.135, Yaguan Road, Tianjin Haihe Education Park, Tianjin, China, 300350
I received my Ph. D degree majored in software and theory of computer science from the Institute of Computing and Technology at Chinese Academy of Science in 2002. Then, I worked at the National University of Singapore and the Institute for Infocomm Research (I2R) as research and visiting fellow respectively from 2002 to 2003. I moved to the Nara Institute of Science and Technology in Japan as a research associate from May,2003 to March 2006. I came back China and joined the Tianjin University in May, 2006. Now I am an associate professor of Computer Science, in the School of Computer Science and Technology.
I have published over 50 research papers on the international journals and conferences including IEEE transactions covering data mining, bioinformatics and grid computing.
I served as the member of uncertainty intelligence committee of Chinese Intellignce Assocication, the member of UN-GAID eSDDC executive committee and Ex Officio member of Inter-Academy Panel. I am also serving on the reviewer of number of journal s and conferences including Briefings in Bioinformatics, Computer Journal of Chinese, and etc.
- Ph. D | Institute of Computing and Technology, CAS| Software and theory of computer science| 2002
- Master| Shandong University of Science and Technology| Geodetic Survey| 1999
- Bachelor | Inner Mongolia Nationalitiy Univiersity| Mathematics| 1995
- Analysis and design of computer algorithms
- Bioinformatics
- Machine learning
- Bayesian learning theory
- Papers
- [1] Multi-Scale Encoding of Amino Acid Sequences for Predicting Protein Interactions Using Gradient Boosting Decision
- [2] 一种只利用序列信息预测RNA结合蛋白的深度学习模型
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- [3] Mining topological structures of PPI networks for human brain specific genes
- [4] Fast_clean: An optimized pipeline to clean the Illumina sequencing data with quality control
- [5] On the PAC-Bayes Bound Calculation based on Reproducing Kernel Hilbert Space
- [6] Knowledge Enrichment Analysis for Human Tissue-Specific Genes Uncover New Biological Insights
- [7] MapCombine : A Lightweight Solution to Improve the Efficiency of Iterative MapReduce
- [8] Tissue significances tests on DNA binding sequence motifs for human genes
- [9] In silico Tests on Sequence Motif Significances for Human Tissue Specific Genes
- [10] BAAQ: An infrastructure for application integration and knowledge discovery in bioinformatics