
Jia Wen
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2020 – today
- 2020
- [j15]Jia Wen
, Colby T. Ford, Daniel Janies, Xinghua Shi:
A parallelized strategy for epistasis analysis based on Empirical Bayesian Elastic Net models. Bioinform. 36(12): 3803-3810 (2020) - [j14]Jia Wen, Yuyan Zhang, Huanxu Wang:
Similarity analysis of protein sequences using a reduced $k$-mer amino acid model. Commun. Inf. Syst. 20(1): 45-60 (2020) - [j13]Jia Wen, Xiaochong Wei, Tao He, Shangshang Zhang:
Regression Analysis on the Influencing Factors of the Acceptance of Online Education Platform among College Students. Ingénierie des Systèmes d Inf. 25(5): 595-600 (2020) - [j12]Mingjun Ding, Xu Xu, Fang Zhang, Zhitao Xiao, Yanbei Liu, Lei Geng, Jun Wu, Jia Wen, Meng Wang:
Saliency detection via background prior and foreground seeds. Multim. Tools Appl. 79(21-22): 14849-14870 (2020) - [j11]Jia Wen, Xiaochong Wei, Haipeng Liu, Yiyuan Rong:
Fuzzy Cluster Analysis on Influencing Factors of College Student Scores. Rev. d'Intelligence Artif. 34(5): 607-616 (2020) - [c8]Jia Wen
, Liu Yang
, Chenyang Shen
:
Fast and Robust Compression of Deep Convolutional Neural Networks. ICANN (2) 2020: 52-63
2010 – 2019
- 2018
- [j10]Zaixiang Tang, Yueping Shen, Yan Li, Xinyan Zhang
, Jia Wen, Chen'ao Qian, Wenzhuo Zhuang, Xinghua Shi, Nengjun Yi:
Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information. Bioinform. 34(6): 901-910 (2018) - [j9]Yuyan Zhang, Jia Wen:
Similarity analysis of protein sequences based on a new graphical representation method. Commun. Inf. Syst. 18(3): 193-208 (2018) - [j8]Shuxia Yan, Xiaoyi Jin, Yaoqian Zhang, Weiguang Shi, Jia Wen:
Accurate large-signal modeling using neuro-space mapping for power transistors. IEICE Electron. Express 15(14): 20180342 (2018) - [j7]Jia Wen, Lei Geng, Cailing Wang:
Decomposition of Interference Hyperspectral Images Based on Split Bregman Iteration. KSII Trans. Internet Inf. Syst. 12(7): 3338-3355 (2018) - [j6]Cailing Wang
, Jinchang Ren
, Hongwei Wang, Yinyong Zhang, Jia Wen:
Spectral-spatial classification of hyperspectral data using spectral-domain local binary patterns. Multim. Tools Appl. 77(22): 29889-29903 (2018) - [c7]Cailing Wang, Hongwei Wang, Jinchang Ren
, Yinyong Zhang, Jia Wen, Jing Zhao:
Texture Profiles and Composite Kernel Frame for Hyperspectral Image Classification. BICS 2018: 325-333 - [c6]Jia Wen, Pengfei Liu, Chu Jia, Hongjun Wang:
Pedestrian Detection Algorithm Based on Multi-Feature Cascade. ICCCN 2018: 1-6 - 2017
- [j5]Jia Wen
, Jue Wang, Qing Zhang, Dianjing Guo:
A heuristic model for computational prediction of human branch point sequence. BMC Bioinform. 18(1): 459 (2017) - 2016
- [j4]Jia Wen, Junsuo Zhao, Cailing Wang, Shuxia Yan, Wen Wang:
Blind deblurring from single motion image based on adaptive weighted total variation algorithm. IET Signal Process. 10(6): 611-618 (2016) - [c5]Yue Wang, Jia Wen, Xintao Wu, Xinghua Shi:
Infringement of Individual Privacy via Mining Differentially Private GWAS Statistics. BigCom 2016: 355-366 - 2015
- [j3]Jia Wen, Junsuo Zhao, Cailing Wang:
Improved morphological component analysis for interference hyperspectral image decomposition. Comput. Electr. Eng. 46: 394-402 (2015) - [j2]Jia Wen, Junsuo Zhao, Caiwen Ma, Cailing Wang:
Improved non-negative tensor Tucker decomposition algorithm for interference hyper-spectral image compression. Sci. China Inf. Sci. 58(5): 1-9 (2015) - [c4]Anhong He, Benika Hall, Jia Wen, Yingbin Liang, Xinghua Shi:
Sequential parallel LASSO models for eQTL analysis. BCB 2015: 533-534 - 2011
- [j1]Jia Wen, Chao Li, Zhang Xiong:
Behavior pattern extraction by trajectory analysis. Frontiers Comput. Sci. China 5(1): 37-44 (2011)
2000 – 2009
- 2008
- [c3]Wei Cheng, Zhenhua Tan, Xiaoxing Gao, Guiran Chang, Jia Wen:
High Speed Serial Interface & Some Key Technology Research. ISECS 2008: 562-566 - 2007
- [c2]Jia Wen, Desheng Wen, Baohua Wang:
Massive Storage Management Strategy Based on Storage Pool and Volume. IMECS 2007: 2167-2172 - 2002
- [c1]Simon K. Rushton, Jia Wen, Robert S. Allison:
Egocentric Direction and the Visual Guidance of Robot Locomotion Background, Theory and Implementation. Biologically Motivated Computer Vision 2002: 576-591
Coauthor Index

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