福州大学数学与计算机科学学院老师于元隆简介

Position Available

    目前有2016年入学的硕士生名额、2017年入学的博士生名额、以及大三和大四本科生（具有保研资格）实验室助研名额，请感兴趣的同学email联系。

Positions for Master students enrolled in 2016, positions for Ph.D. students enrolled in 2017, and RA positions for Junior and Senior. Please contact me by email if interested. 

个人介绍

    于元隆（Yuanlong Yu），男，1978年生，“闽江学者”特聘教授，计算机科学系主任，博士生导师。2000年在北京理工大学自动控制专业获学士学位，2003年在清华大学计算机应用技术专业获硕士学位，2010年在加拿大纽芬兰纪念大学电子与计算机工程专业获博士学位。2011年至2012年在加拿大达尔豪斯大学电子与计算机工程系担任博士后研究员。2013年到福州大学工作，受聘为“闽江学者”特聘教授。2015年至今，担任福州大学计算机科学系主任。2014年至今，担任中国人工智能学会认知系统与信息处理专业委员会副秘书长。

    先后主持国家自然科学基金项目2项，西门子、国家电网横向项目多项。目前已在国际期刊和会议发表SCI\EI论文40余篇。获得国际会议IEEE ICIA2015最佳论文奖。先后在2015年中国指挥控制大会、2015年中国社会机器人高峰论坛做大会特邀报告。

    目前的研究方向主要集中在认知机器人、计算机视觉、模式识别、机器学习、大数据智能分析、认知信息处理等。

    目前的研究课题主要包括基于感兴趣目标检测与识别、感兴趣事件的检测与识别、目标跟踪、场景识别、异常模式识别、基于多层神经网络的特征学习、机器人视觉注意力机制、机器人自主心智成长、机器人环境感知、定位与导航、视触觉融合的机械手臂目标检测与抓取、图像分割、社交网络情感分析等。

    上述研究课题涵盖了学术理论研究和工程应用研究。学术理论研究项目主要来源于国家自然科学基金资助项目。工程应用研究主要来源于工业、信息、航天、兵器、交通等领域的科研合作项目。

实验室介绍

    2014年，与清华大学智能技术与系统国家重点实验室合作，共同成立了“清华大学-福州大学认知系统与信息处理联合实验室”。该实验室聘请中国科学院院士张钹教授作为学术委员会主任，聘请“国家杰青”、清华大学孙富春教授等3人担任兼职教授。目前，该实验室与清华大学合作项目多项，联合培养学生多名。

主要著作

• 国际期刊论文

[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.

• 国际会议论文（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 Yu and Jason Gu, “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, Jason Gu, 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.