於元隆（Yuanlong Yu），男，1978年生，“閩江學者”特聘教授，計算機科學系主任，博士生導師。2000年在北京理工大學自動控制專業獲學士學位，2003年在清華大學計算機套用技術專業獲碩士學位，2010年在加拿大紐芬蘭紀念大學電子與計算機工程專業獲博士學位。2011年至2012年在加拿大達爾豪斯大學電子與計算機工程系擔任博士後研究員。2013年到福州大學工作，受聘為“閩江學者”特聘教授。2015年至今，擔任福州大學計算機科學系主任。2014年至今，擔任中國人工智慧學會認知系統與信息處理專業委員會副秘書長。
基本介紹
- 中文名：於元隆
- 外文名： Yuanlong Yu
- 出生日期：1978年
- 職業：教師
- 畢業院校：北京理工大學
- 主要成就：“閩江學者”特聘教授
人物簡介,主要著作,
人物簡介
先後主持國家自然科學基金項目2項，西門子、國家電網橫向項目多項。目前已在國際期刊和會議發表SCI\EI論文40餘篇。獲得國際會議IEEE ICIA2015最佳論文獎。先後在2015年中國指揮控制大會、2015年中國社會機器人高峰論壇做大會特邀報告。
目前的研究方向主要集中在認知機器人、計算機視覺、模式識別、機器學習、大數據智慧型分析、認知信息處理等。
目前的研究課題主要包括基於感興趣目標檢測與識別、感興趣事件的檢測與識別、目標跟蹤、場景識別、異常模式識別、基於多層神經網路的特徵學習、機器人視覺注意力機制、機器人自主心智成長、機器人環境感知、定位與導航、視觸覺融合的機械手臂目標檢測與抓取、圖像分割、社交網路情感分析等。
上述研究課題涵蓋了學術理論研究和工程套用研究。學術理論研究項目主要來源於國家自然科學基金資助項目。工程套用研究主要來源於工業、信息、航天、兵器、交通等領域的科研合作項目。
主要著作
- 國際期刊論文
[1] Zhiyong Huang, Yuanlong Yu, Jason Gu and Huaping Liu, “An efficient method for traffic sign recognition based on extreme learning machine”, IEEE Transactions on Cybernetics, appear online, 2016.
[2] Huaping Liu, Yuanlong Yu, Fuchun Sun and Jason Gu, “Visual-tactile fusion for object recognition”, IEEE Transactions on Automation Science and Engineering, accepted, 2016.
[3] Xianghan Zheng, Xueying Zhang, Yuanlong Yu, Tahar Kechadi, and Chunming Rong, “ELM-based spammer detection in social networks”, The Journal of Supercomputing, appear online, 2015.
[4] Xianghan Zheng, Zhipeng Zeng, Zheyi Chen, Yuanlong Yu, and Chunming Rong, “Detecting spammers on social networks”, Neurocomputing, vol. 159, pp. 27-34, 2015.
[5] Huaping Liu, Fuchun Sun, and Yuanlong Yu, “Multitask extreme learning machine for visual tracking”, Cognitive Computation, vol.6, no. 3, pp. 391-404, 2014.
[6] Huaping Liu, Yunhui Liu, Yuanlong Yu, and Fuchun Sun, “Diversified Key-frame Selection Using Structured L2,1 Optimization”, IEEE Transactions on Industrial Informatics, vol. 10, no. 3, pp. 1736-1745, 2014.
[7] Yuanlong Yu, Jason Gu, and Junzheng Wang, “Bhattacharyya distance based irregular pyramid method for image segmentation”, IET Computer Vision, vol.8, no. 6, pp. 510-522, 2014.
[8] Yuanlong Yu, Jason Gu, George K. I. Mann, and Raymond G. Gosine, “Development and Evaluation of Object-Based Visual Attention for Automatic Perception of Robots”, IEEE Transactions on Automation Science and Engineering, vol. 10, no. 2, pp. 365-379, 2013.
[9] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “A single-object tracking method for robots using object-based visual attention”, International Journal of Humanoid Robotics, vol. 9, no. 4, pp. 1250030-66, 2012.
[10] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “A goal-directed visual perception system using object-based top-down attention”, IEEE Transactions on Autonomous Mental Development, vol. 4, no. 1, pp. 87-103, 2012.
[11] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “An object-based visual attention model for robotic applications”, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, vol. 40, no. 5, pp. 1398-1412, 2010.
- 國際會議論文（部分）
[1] Yuanlong Yu, and Zhenzhen Sun, “A pruning algorithm for extreme learning machine based on sparse coding”, Proceedings of IEEE International Joint Conference on Neural Networks, accepted, 2016.
[2] Liyan Xie, Yuanlong Yu, and Zhiyong Huang, “An online learning target tracking method based on extreme learning machine”, Proceedings of the 12th World Congress on Intelligent Control and Automation, accepted, 2016.
[3] Changliang Sun, Yuanlong Yu, Huaping Liu and Jason Gu, “Robotic grasp detection using extreme learning machine”, Proceedings of IEEE International Conference on Robotics and Biomimetics, appear online, 2015.
[4] Yuanlong Yu, Lingying Wu, Kai Sun and Jason Gu, “Large-scale scene recognition based on extreme learning machines”, Proceedings of International Conference on Extreme Learning Machine, pp. 1-18, 2015.
[5] Zhenzhen Sun and Yuanlong Yu, “Sparse coding extreme learning machine for classification”, Proceedings of International Conference on Extreme Learning Machine, pp. 143-153, 2015.
[6] Kai Sun, Yuanlong Yu, and Zhiyong Huang, “A generalized pruning algorithm for extreme learning machine”, Proceedings of IEEE International Conference on Information and Automation, pp.1431-1436, 2015. (Best Paper for Information Award.)
[7] Zhifan Ye and Yuanlong Yu, “Network intrusion classification based on extreme learning machine”, Proceedings of IEEE International Conference on Information and Automation, pp.1642-1647, 2015.
[8] Kai Sun, Yuanlong Yu, and Jason Gu, “Efficient robot navigation for semi-structured indoor storehouse”, Proceedings of Canadian Conference on Electrical and Computer Engineering, pp. 1313-1317, 2015.
[9] Zhiyong Huang, Yuanlong Yu, Shaozhen Ye, and Huaping Liu, “Extreme learning machine based traffic sign detection”, Proceedings of International Conference on Multisensor Fusion and Information Integration for Intelligent Systems, pp. 1-6, 2014.
[10] Yuanlong Yu, Zhaojie Gu, Huanping Liu, and Jason Gu, “A visual attention based method for detecting traffic signs of interest”, Proceedings of IEEE International Conference on Information and Automation, pp. 290-294, 2014.
[11] Huaping Liu, Yulong Liu, Yuanlong Yu, and Fuchun Sun,“Simultaneous Prototype Selection and Outlier Isolation for Traffic Sign Recognition: A Collaborative Sparse Optimization Method”, Proceedings of IEEE International Conference on Robotics and Automation, pp. 2138-2143, 2014.
[12] Yuanlong Yuand ,“A Jeffrey divergence based irregular pyramid method for pre-attentive visual segmentation”, Proceedings of IEEE International Conference on Robotics and Biomimetics, pp. 1671-1676, 2013.
[13] Yuanlong Yu,, and David W. Zhang,“An automatic method for detecting objects of interest in videos using surprise theory”,Proceedings of IEEE International Conference on Information and Automation, pp. 620-625, 2012.
[14] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “Target tracking for moving robots using object-based visual attention”, Proceedings of IEEE International Conference on Intelligent Robots and Systems, pp. 2902-2907, 2010.
[15] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “Modeling of top-down influences on object-based visual attention for robots”, Proceedings of IEEE International Conference on Robotics and Biomimetics, pp. 1021-1026, 2009.
[16] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “Modeling of top-down object-based attention using probabilistic neural network”, Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering, pp. 533-536, 2009.
[17] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “An object-based visual attention model for robots”, Proceedings of IEEE International Conference on Robotics and Automation, pp. 943-948, 2008.
[18] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “A task-driven object-based attention model for robots”,Proceedings of IEEE International Conference on Robotics and Biomimetics, pp. 1751-1756, 2007.
[19] Yuanlong Yu, George K. I. Mann, and Raymond G. Gosine, “Task-driven moving object detection for robots using visual attention”, Proceedings of IEEE-RAS International Conference on Humanoid Robots, pp. 428-433, 2007.
