1995.09-2002.06 Bachelor, Master, Department of Computer Science, University of Science and Technology Beijing

2002.07 – 2006.07 R&D Engineer/Technical Manager, R&D Center, Hanwang Technology Co., Ltd.

2003.09-2006.07 PhD, Institute of Automation, Chinese Academy of Sciences

2006.08-2008.06 Researcher, Information Technology Department, Fujitsu Research and Development Center

2008.07-present teaching and research work in the Computer Department of University of Science and Technology Beijing (associate professor, professor)

2013.01-2014.01 Center for Intelligent Information Retrieval, School of Computer Science, University of Massachusetts Amherst, USA, Visiting Associate Professor

2014.07 – 2014.08 Computer Vision Lab, School of Computer Science, University of MassachusettsAmherst, USA, Visiting Professor

2016.07-2016.09 BioNLP Lab, Department of Quantitative Health Sciences, University of Massachusetts Medical School, USA, Visiting Professor

For details, please refer to the homepage of the laboratory (Pattern Recognition and Artificial Intelligence Technology Innovation Laboratory) (http://prir.ustb.edu.cn) and personal homepage (http://prir.ustb.edu.cn/yin/)

[J1] Xu-Cheng Yin (殷绪成)*, Xuwang Yin, Kaizhu Huang, and Hong-Wei Hao, “Robust text detection in natural scene images”, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), vol. 36, no. 5, pp. 970-983, 2014. (2020 Impact Factor: 17.861)

[J2] Xu-Cheng Yin (殷绪成)*, Wei-Yi Pei, Jun Zhang, and Hong-Wei Hao, “Multi-orientation scene text detection with adaptive clustering”, IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), vol. 37, no. 9, pp. 1930-1937, 2015. (2020 Impact Factor: 17.861)

[J3] Shu Tian, Xu-Cheng Yin* (殷绪成), Ya Su, and Hong-Wei Hao, “A unified framework for tracking based text detection and recognition from web videos,” IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40, no. 3, pp. 542-554, 2018. (2020 Impact Factor: 17.861)

[J4] Xu-Cheng Yin (殷绪成)*, Ze-Yu Zuo, Shu Tian, and Cheng-Lin Liu, “Text detection, tracking and recognition in video: A comprehensive survey,” IEEE Trans. Image Processing (T-IP), vol. 25, no. 6, pp. 2752-2773, 2016. (2020 Impact Factor: 9.34)

[J5] Chun Yang, Xu-Cheng Yin* (殷绪成), Wei-Yi Pei, Shu Tian, Ze-Yu Zuo, Chao Zhu and Junchi Yan, “Tracking based multi-orientation scene text detection: A unified framework with dynamic programming,” IEEE Trans. Image Processing (T-IP), vol. 26, no. 7, pp. 3235-3248, 2017. (2020 Impact Factor: 9.340)

[J6] Jie-Bo Hou, Xiaobin Zhu, Chang Liu, Kekai Sheng, Long-Huang Wu, Hongfa Wang, and Xu-Cheng Yin* (殷绪成), IEEE Trans. Image Processing (T-IP), vol. 29, pp. 7904-7916, 2020. (2020 Impact Factor: 9.340)

[J7] Bo-Wen Zhang, Xu-Cheng Yin* (殷绪成), and Fang Zhou, “A generic pseudo relevance feedback framework with heterogeneous social information,” Information Sciences, vol. 367-368, pp. 909-926, 2016. (2020 Impact Factor: 5.910)

[J8] Zan-Xia Jin, Bo-Wen Zhang, Fang Zhou, Jingyan Qin*, and Xu-Cheng Yin* (殷绪成), “Ranking via partial ordering for answer selection,” Information Sciences, vol. 538, pp. 358-371, 2020. (2020 Impact Factor: 5.910)

[J9] Song-Lu Chen, Chun Yang, Jia-Wei Ma, Feng Chen, and Xu-Cheng Yin* (殷绪成), “Simultaneous end-to-end vehicle and license plate detection with multi-branch attention neural network,” IEEE Trans. Intelligent Transportation Systems (T-ITS), August 2019, published online. (2020 Impact Factor: 6.319)

[J10] Jie-Bo Hou, Xiaobin Zhu*, Chang Liu, Chun Yang, Long-Huang Wu, Hongfa Wang, and Xu-Cheng Yin* (殷绪成), “Detecting text in scene and traffic guide panels with attention anchor mechanism,” IEEE Trans. Intelligent Transportation Systems (T-ITS), June 2020, published online. (2020 Impact Factor: 6.319)

[C1] Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang, Hongfa Wang, and Xu-Cheng Yin* (殷绪成), “Deep relational reasoning graph network for arbitrary shape text detection,” Proceedings of 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, Oral), 2020. (CCF A)

[C2] Bowen Yang, Chun Yang, Qi Liu, and Xu-Cheng Yin* (殷绪成), “Joint rotation-invariance face detection and alignment with angle-sensitivity cascaded networks,” Proceedings of the 27th ACM International Conference on Multimedia (ACM Multimedia), 2019. (CCF A)

[C3] Shu Tian, Wei-Yi Pei, Ze-Yu Zuo, and Xu-Cheng Yin* (殷绪成), “Scene text detection in video by learning locally and globally,” Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI, Oral), 2016. (CCF A)

[C4] Bo-Wen Zhang, Xu-Cheng Yin* (殷绪成), 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 (ACM SIGIR), 2017. (CCF A)

[C5] Xu-Cheng Yin (殷绪成), 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 (ACM SIGIR), 2013. (CCF A)

[C6] Bo-Wen Zhang, Xu-Cheng Yin* (殷绪成), 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 the 23rd International ACM Conference on Information and Knowledge Management (ACM CIKM, Oral), 2014. (CCF B)

[C7] Fan Fang, Bo-Wen Zhang, Xu-Cheng Yin* (殷绪成), Hai-Xia Man, and Fang Zhou, “TED-KISS: A known-item speech video search benchmark,” Proceedings of the 27th International ACM Conference on Information and Knowledge Management (ACM CIKM), 2018. (CCF B)

[C8] Miao Cao, Chun Yang, Fang Zhou, and Xu-Cheng Yin* (殷绪成), “Pyramid memory block and time-step attention for speech emotion recognition,” Proceedings of 20th Annual Conference of the International Speech Communication Association (INTERSPEECH, Oral), 2019. (CCF C)

[C9] Miaotong Jiang, Jie-Bo Hou, Chun Yang, Xiaobin Zhu, and Xu-Cheng Yin* (殷绪成), “Detecting text in news images with similarity embedded proposals,” Proceedings of 15th International Conference on Document Analysis and Recognition (ICDAR), 2019. (CCF C)

[C10] Chun Yang, Xu-Cheng Yin* (殷绪成), Hong Yu, Dimosthenis Karatzas, and Yu Cao, “ICDAR2017 Robust Reading Challenge on Text Extraction from Biomedical Literature Figures (DeTEXT),” Proceedings of 15th International Conference on Document Analysis and Recognition (ICDAR, Oral), 2017. (CCF C)

Horizontal items:

(1) "Research on the Detection and Recognition of Network Scenes/Online Advertising Pictures and Texts" (2016~2019, Tencent Technology Cooperation Project, person in charge)

(2) "Analysis and Recognition Technology of Complex English Documents in Education Industry" (2014~2015, Cooperative Project of HKUST IFLYTEK Research Institute, person in charge)

Vertical project:

(1) "Natural scene text recognition technology combining feedforward and feedback mechanisms" (2015~2018, National Natural Science Foundation of China, person in charge)

(2) "A large number of complex document image information extraction based on probability graph model" (2012~2014, National Natural Science Foundation of China, person in charge)

The first prize of Beijing Municipal Science and Technology Progress Award in 2019 (the first complete person), "Key technologies and applications of intelligent recognition of network image video big data";

2018 Second Prize of Science and Technology Progress Award of the Ministry of Education (first completion person), "Text Recognition Technology and Application of Large-scale Network Images";

Four consecutive sessions (2013/2015/2017/2019) won 15 items including "scene text detection", "scene text recognition", "network picture text detection", "network picture text recognition", etc. in the international document analysis and recognition conference technical competition champion;

For four consecutive years (2015/2016/2017/2018), won multiple first prizes in the international bioinformatics text semantic retrieval and question answering technology challenge platform BioASQ Challenge;

2005 First Prize of Beijing Municipal Science and Technology Progress Award (main member), "Hanwang OCR Technology and Application";

2006 Excellent Invention Award of Fujitsu Research and Development Center;

2006 Fujitsu Research Institute President Award, 2007 Fujitsu Research Institute President Award.