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Conference Papers

Pattern Recognition, Document Analysis and Recognition, and Computer Vision Related Conferences

 

[1] Wei-Yi Pei, Chun Yang, Lih-Jen Kau, and Xu-Cheng Yin*, "Multi-orientation scene text detection with multi-information fusion," Proceedings of International Conference on Pattern Recognition (ICPR'16), 2016.

 

[2] Zong-Heng Xing, Fang Zhou, Shu Tian, and Xu-Cheng Yin*, "Robust segmentation for video captions with complex backgrounds," Processing of 7th Chinese Conference on Pattern Recognition (CCPR'16), 2016. <Paper Link> (Best Student Paper of CCPR'16)

 

[3] Yan Yan, Xu-Cheng Yin*, Chun Yang, Bo-Wen Zhang, and Hong-Wei Hao, "Multi-label ranking with LSTM^2 for document classification," Processing of 7th Chinese Conference on Pattern Recognition (CCPR'16), 2016.

 

[4] Song-Lu Chen, Chun Yang, Chao Zhu, and Xu-Cheng Yin*, "Bloody image classification with global and local features," Processing of 7th Chinese Conference on Pattern Recognition (CCPR'16), 2016. <Online Demo>

 

[5] Ze-Yu Zuo, Shu Tian, Wei-Yi Pei, Xu-Cheng Yin, "Multi-strategy tracking based text detection in scene videos," Proceedings of 13th International Conference on Document Analysis and Recognition (ICDAR'15), 2015.

 

[6] Xu-Cheng Yin, Chun Yang, Wei-Yi Pei, and Hong-Wei Hao, “Shallow classification or deep learning: An experimental study,” Proceedings of International Conference on Pattern Recognition (ICPR'14), 2014.

 

[7] Chun Yang, Xu-Cheng Yin, and Hong-Wei Hao, “Diversity-based ensemble with sample weight learning,” Proceedings of International Conference on Pattern Recognition (ICPR'14), 2014.

 

[8] Yan Yan, Xu-Cheng Yin, Zhi-Bin Wang, Xuwang Yin, Chun Yang, and Hong-Wei Hao,  “Sorting-based dynamic classifier ensemble selection,” Proceedings of 12th International Conference on Document Analysis and Recognition (ICDAR'13), 2013. <Paper Link>

 

[9] Yin Liang, Xu-Cheng Yin, Shu Tian, and Hong-Wei Hao, “Weakly supervised compressive  tracking with effective prediction model,” Proceedings of the Pacific-Rim Conference on Multimedia (PCM'13), 2013.

 

[10] Xuwang Yin, Xu-Cheng Yin, Hong-Wei Hao, and Khalid Iqbal, “Effective text localization in natural scene images with MSER, geometry-based grouping and AdaBoost,” Proceedings of the 21st International Conference on Pattern Recognition (ICPR’12), 2012. <Paper Link>

 

[11] Xu-Cheng Yin, Hong-Wei Hao, Jun Sun, and Satoshi Naoi,  “Robust vanishing point detection for MobileCam-based documents,” Proceedings of 11th International Conference on Document Analysis and Recognition (ICDAR'11), 2011. <Paper Link>

 

[12] Hong-Wei Hao, Qian Liu, Xu-Cheng Yin, Zhi-Bin Wang, and Kaizhu HuangEllipse detection with an improved randomized Hough transform for intellectual phacoemulsification surgery systems,”  Proceedings of International Conference on Image Processing (ICIP’10), 2010.

 

[13] Xu-Cheng Yin, Hong-Wei Hao, Yun-Feng Tang, Jun Sun, and Satoshi Naoi,  “Rejection strategies with multiple classifiers for handwritten character recognition,”  Proceedings of 10th International Conference on Document Analysis and Recognition (ICDAR'09), 2009. <Paper Link>

 

[14] Xu-Cheng YinJun Sun, Satoshi Naoi, Katsuhito Fujimoto, Yusaku Fujii, Koji Kurokawa, Hiroaki Takebe,  “A multi-stage strategy to perspective rectification for mobile phone camera-based document images,” Proceedings of 9th International Conference on Document Analysis and Recognition (ICDAR'07), 2007. <Paper Link>

 

[15] Xu-Cheng YinChang-Ping Liu, and Zhi Han,  “Financial document image coding with regions of interest using JPEG2000,” Proceedings of 8th International Conference on Document Analysis and Recognition (ICDAR'05), 2005. <Paper Link>

 

[16] Zhi Han, Xu-Cheng Yin, and Chang-Ping Liu,  “A two-stage handwritten character segmentation approach in mail address recognition,” Proceedings of 8th International Conference on Document Analysis and Recognition (ICDAR'05), 2005. <Paper Link>

 

 

Information Retrieval and NLP Related Conferences

 

[1] Bo-Wen Zhang, Xu-Cheng Yin*, Fang Zhou*, and Jianlin Jin, "Building your own reading list anytime via embedding relevance, quality, timeliness and diversity," Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’17), 2017.

 

[2] Junchi Yan, Xu-Cheng Yin, Weiyao Lin, Cheng Deng, Hongyuan Zha, and Xiaokang Yang, "A short survey of recent advances in graph matching," Proceedings of ACM International Conference on Multimedia Retrieval (ICMR'16), 2016.

 

[3] Shao-Hui Feng, Bo-Wen Zhang*, Xu-Cheng Yin*, Zan-Xia Jin, Jian-Lin Jin, Jian-Wei Wu, Le-Le Zhang, Hao-Jie Pan, Fan Fang, and Fang Zhou, USTB at Social Book Search 2016 Suggestion Task: Active books set and re-ranking, CLEF (Working Notes), 2016.  (Our proposed technology (USTB-PRIR”) won the 1st place of CLEF 2016 Social Book Search Suggestion Task.)

 

[4] Zhijuan Zhang, Tiantian Liu, Bo-Wen Zhang, Yan Li, Chun Hua Zhao, Shao-Hui Feng, Xu-Cheng Yin, and Fang Zhou, A generic retrieval system for biomedical literatures: USTB at BioASQ2015 Question Answering Task, CLEF (Working Notes), 2015. (Our technology won several batches of 2015 BioASQ Challenge Task 3b: Biomedical Semantic QA.)

 

[5] Chunhua Zhao, Fang Zhou, Bo-Wen Zhang, Xu-Cheng Yin, Ming Hao, Zhijuan Zhang, and Tiantian Liu, USTB at Social Book Search 2015 Suggestion Task: Metadata Expansion and Reranking, CLEF (Working Notes), 2015.

 

[6] Bo-Wen Zhang, Xu-Cheng Yin, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Li Song, and Hong-Wei Hao, “Social book search reranking with generalized content-based filtering”, Proceedings of ACM International Conference on Information and Knowledge Management (CIKM'14), 2014. (Our proposed technology (USTB) won the 1st place of INEX 2014 Social Book Search Suggestion Task.)

 

[7] Bo-Wen Zhang, Xu-Cheng Yin, Xiao-Ping Cui, Jiao Qu, Bin Geng, Fang Zhou, Hong-Wei Hao, "USTB at INEX2014: Social Book Search Track," CLEF (Working Notes), 2014.

 

[8] Xu-Cheng Yin, Xuwang Yin, Kaizhu Huang, and Hong-Wei Hao, “Accurate and robust text detection: A step-in for text retrieval in natural scene images,” Proceedings of the 36th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’13), 2013. <Paper Link>

 

 

Neural Networks and Learning Related Conferences

 

[1] Shu Tian+, Wei-Yi Pei+, Ze-Yu Zuo, and Xu-Cheng Yin*, "Scene text detection in video by learning locally and globally," Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI'16), 2016. <Paper Link> (Our technology won the 1st Place of "(Text in Videos) Video Text Detection" in ICDAR 2015 Robust Reading Competition.)

 

[2] Bin Geng, Fang Zhou, Jiao Qu, Bo-Wen Zhang, Xiao-Ping Cui, Xu-Cheng Yin, "Social book search with pseudo-relevance feedback," Proceedings of the 21th International Conference on Neural Information Processing (ICONIP’14), 2014.

 

[3] Chun Yang, Xu-Cheng Yin, Kaizhu Huang, "Text categorization with diversity random forests," Proceedings of the 21th International Conference on Neural Information Processing (ICONIP’14), 2014.

 

[4] Khalid Iqbal, Xu-Cheng Yin, Hong-Wei Hao, Sohail Asghar, and Hazrat Ali, “Bayesian network scores based text localization in scene images,” Proceedings of International Joint Conference on Neural Networks (IJCNN'14), 2014.

 

[5] Shu Tian, Xu-Cheng Yin, Xi Xu, and Hong-Wei Hao, “Transfer learning based compressive tracking,” Proceedings of International Joint Conference on Neural Networks (IJCNN’13), 2013.

 

[6] Khalid Iqbal, Xu-Cheng Yin, Xuwang Yin, Hazrat Ali, and Hong-Wei Hao, “Classifier comparison for MSER-based text classification in scene images,” Proceedings of International Joint Conference on Neural Networks (IJCNN’13), 2013.

 

[7] Khalid Iqbal, Xu-Cheng Yin, Hong-Wei Hao, and Qazi Mudassar Ilyas, “Learning Bayesian network leveled-structure from support based XML frequent itemsets,”  Proceedings of International Joint Conference on Neural Networks (IJCNN’13), 2013.

 

[8] Xu-Cheng Yin, Kaizhu Huang, and Hong-Wei Hao, “Dynamic ensemble of ensembles in nonstationary environments,” Proceedings of the 20th International Conference on Neural Information Processing (ICONIP’13), 2013. <Paper Link>

 

[9] Xi Xu, Hong-Wei Hao, Xu-Cheng Yin, Ning Liu, and Shawkat Shafin, “Automatic segmentation of cervical vertebrae in X-ray images,” Proceedings of International Joint Conference on Neural Networks (IJCNN’12), 2012. <Paper Link>

 

[10] Xu-Cheng YinKaizhu Huang, Hong-Wei Hao, Khalid Iqbal, and Zhi-Bin Wang, “Classifier ensemble using a heuristic learning with sparsity and diversity,” Proceedings of the 19th International Conference on Neural Information Processing (ICONIP’12), 2012. <Paper Link>

 

[11] Zhi-Bin Wang, Hong-Wei Hao, Yan Li, Xu-Cheng Yin, and Shu TianPedestrian analysis and counting system with videos,” Proceedings of the 19th International Conference on Neural Information Processing (ICONIP’12), 2012. <Paper Link>

 

[12] Hong-Wei Hao, Cui-Xia Mu, Xu-Cheng Yin, and Zhi-Bin Wang, “Handwritten Chinese character identification with bagged one-class support vector machines,”  Proceedings of International Joint Conference on Neural Networks (IJCNN’11), 2011. <Paper Link>


[13] Hong-Wei Hao, Cui-Xia Mu, Xu-Cheng Yin, Shen Li, and Zhi-Bin Wang, “An improved topic relevance algorithm for focused crawling,” Proceedings of International  Conference on Systems, Man and Cybernetics (SMC’11), 2011. <Paper Link>

 

[14] Xu-Cheng YinTian-Tian He, Hong-Wei Hao, Xi Xu, Xiao-Zhong Cao, and Qing LiLearning based visibility measuring with images,” Proceedings of the 18th International Conference on Neural Information Processing (ICONIP’11), 2011. <Paper Link>

 

[15] Xu-Cheng YinQian Liu, Hong-Wei Hao, Zhi-Bin Wang, and Kaizhu HuangA rock structure recognition system using FMI images,” Proceedings of the 16th International Conference on Neural Information Processing (ICONIP’09), 2009. <Paper Link>

 

[16] Zhi-Bin Wang, Hong-Wei Hao, Xu-Cheng Yin, Qian Liu, and Kaizhu HuangExchange rate forecasting using classifier ensemble,” Proceedings of the 16th International Conference on Neural Information Processing (ICONIP’09), 2009. <Paper Link>

 


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