Xu-Cheng Yin, Ze-Yu Zuo, Shu Tian, and Cheng-Lin Liu, "Text detection, tracking and recognition in video: A comprehensive survey," IEEE Trans. Image Processing (TIP), vol. 25, no. 6, pp. 2752-2773, 2016. <Paper Link>
 Bo-Wen Zhang, Xu-Cheng Yin*, and Fang Zhou, “A generic pseudo relevance feedback framework with heterogeneous social information,” Information Sciences, vol. 367-368, pp. 909-926, 2016. <Paper Link> (Our proposed technology (“USTB-PRIR”) won the 1st place of CLEF 2016 “Social Book Search Suggestion Task”.)
 Xu-Cheng Yin, Bo-Wen Zhang, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Li Song, and Hong-Wei Hao, "IsART: A Generic Framework for Searching Books with Social Informaiton," PLoS ONE, vol. 11, no. 2, pp. e0148479, 2016. (Our proposed technology won the top place of CLEFT/INEX 2014/2015 “Social Book Search Suggestion Task”.) <Paper Link>
 Xu-Cheng Yin, Wei-Yi Pei, Jun Zhang, and Hong-Wei Hao, “Multi-orientation scene text detection with adaptive clustering,” IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), vol. 37, no. 9, pp. 1930-1937, 2015. <Online Databset> <Paper Link> (Our multi-orientation scene text detection technology has the best performance on available public datasets.)
 Xu-Cheng Yin, Chun Yang, Wei-Yi Pei, Haixia Man, Jun Zhang, Erik Learned-Miller, and Hong Yu, "DeTEXT: A database for evaluating text extraction from biomedical literature figures," PLoS ONE, vol. 10, no. 5, pp. e0126200, 2015. <Online Databset> <Paper Link>
 Xu-Cheng Yin, Kaizhu Huang, and Hong-Wei Hao, “DE2: Dynamic ensemble of ensembles for learning nonstationary data,” Neurocomputing, vol. 165, pp. 14-22, 2015. <Paper Link>
 Kaizhu Huang, Rui Zhang, and Xu-Cheng Yin, “Imbalance Learning locally and Globally,” Neural Processing Letters, vol. 41, no. 3, pp. 311-323, 2015.
 Yan Yan, Xu-Cheng Yin*, Sujian Li, Mingyuan Yang, Hong-Wei Hao, "Learning document semantic representation with hybrid deep belief network," Computational Intelligence and Neuroscience, 650527:1-650527:9, 2015.
 Shu Tian, Xu-Cheng Yin*, Zhi-Bin Wang, and Hong-Wei Hao, "VeBIRD: A VidEo-Based Intelligent Recognition and Decision system for the phacoemulsification cataract surgery," Computational and Mathematical Methods in Medicine, 202934:1-202934:11, 2015.
 Yan Li, Yinghua Zhang, Xiaoping Huang, Xu-Cheng Yin*, Hongwei Hao, "Chinese word segmentation with local and global context representation learning," High Technology Letters, vol. 21, no. 1, pp. 71-77, 2015.
 Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, and Hong-Wei Hao, “Robust text detection in natural scene images”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 36, no. 5, pp. 970-983, 2014. <Paper Link (IEEE Xplore)> <Online Demos> (Our published technology ("USTB_TexStar") won the 1st place of both "Text Localization in Real Scenes" and "Text Localization in Born-Digital Images (Web and Email)" in ICDAR 2013 Robust Reading Competition; our technology ("Yin et al.") also won the 1st place in ICDAR 2013 Multi-Script Robust Reading Competition. This paper is a highly cited paper from ESI (Essential Science Indicators) as of Nov/Dec 2015.)
 Xu-Cheng Yin, Kaizhu Huang, Chun Yang, and Hong-Wei Hao, “Convex ensemble learning with sparsity and diversity,” Information Fusion, vol. 20, pp. 49-59, 2014. <Paper Link>
 Xu-Cheng Yin, Kaizhu Huang, and Hong-Wei Hao, “A novel classifier ensemble method with sparsity and diversity,” Neurocomputing, vol. 134, pp. 214-221, 2014. <Paper Link>
 Khalid Iqbal, Xu-Cheng Yin*, Hong-Wei Hao, Qazi Ilyas, and Xuwang Yin, “A central tendency-based privacy preserving model for sensitive XML association rules using Bayesian networks,” Intelligent Data Analysis, vol. 18, no. 2, pp. 281-303, 2014. <Paper Link>
 Xu-Cheng Yin, Qian Liu, Hong-Wei Hao, Zhi-Bin Wang, and Kaizhu Huang, “FMI image based rock structure classification using classifier combination,” Neural Computing and Applications, vol. 20, no.7, pp. 955-963, 2011. <Paper Link>
 Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin*, Qian Liu, and Kaizhu Huang, “Exchange rate prediction with non-numerical information,” Neural Computing and Applications, vol. 20, no.7, pp. 945-954, 2011. <Paper Link>
 Xu-Cheng Yin, Chang-Ping Liu, and Zhi Han, “Feature combination using Boosting”, Pattern Recognition Letters, vol. 26, no. 14, pp. 2195-2205, 2005. <Paper Link>
 Chun Yang, Xu-Cheng Yin*, Hong-Wei Hao, Yan Yan, and Zhi-Bin Wang, “Classifier ensemble with diversity: Effectiveness analysis and ensemble optimization”, Acta Automatica Sinica (in Chinese, 自动化学报), vol. 40, no. 4, pp. 660-674, 2014. <Paper Link>
 Hong-Wei Hao, Zhi-Bin Wang, Xu-Cheng Yin, and Zhi-Qiang Chen, “Dynamic selection and circulating combination for multiple classifier systems”, Acta Automatica Sinica (in Chinese, 自动化学报), vol. 37, no. 11, pp. 1290-1295, 2011. <Paper Link>
 Xu-Cheng Yin, and Chang-Ping Liu, “A segmentation and recognition system for touching and broken numeral strings based on Viterbi algorithms”, Acta Automatica Sinica (in Chinese, 自动化学报), vol. 33, no. 3, pp. 315-322, 2007. <Paper Link>