姓名： 于瑞云
工作单位： 软件学院
学历： 博士
职称： 教授、博士生导师
行政职务： 副院长（负责学科建设与发展规划、国际化办学等工作）
电话： +86-
电子邮箱： yury@mail.neu.edu.cn

于瑞云，男，计算机应用技术工学博士，东北大学软件学院教授、博士生导师、副院长。1997年7月毕业于东北大学流体传动及控制专业，获工学学士学位；2004年3月毕业于东北大学计算机应用技术专业，获工学硕士学位；2009年1月毕业于东北大学计算机应用技术专业，获工学博士学位。2017年入选辽宁省百千万人才工程“百层次”人才, 2018年入选沈阳市领军人才。曾以访问学者身份在美国加州大学尔湾分校（2018.12-2019.3）、德克萨斯大学阿灵顿分校（2006.9-2007.10）等国外高校从事访问研究。
自2009年起历任东北大学软件学院院长助理、副院长，曾主管过本科教学、校企合作、国际化办学等工作，现在负责学院国际化办学、学科建设工作，在教学改革、校企合作、国际化办学、学科建设等方面取得了较好的工作成绩。主讲人工智能、高级人工智能、大数据分析技术、计算智能与信息系统等课程。
主要研究方向为智能感知与计算、计算机视觉、大数据智能等，重点结合智慧城市、物联网、增强现实/虚拟现实、人工智能等应用背景在数据感知、用户行为分析、数据分析、视觉计算、深度学习等方面开展科学研究。作为项目负责人主持国家自然科学基金面上项目等研究课题12项，主持企业技术攻关课题8项；以主要参加者身份参加863计划重点项目等国家级、省部级纵向课题9项；在ACM Transactions on Sensor Networks（ToSN）、IEEE Transactions on Services Computing (TSC)、Pervasive and Mobile Computing、计算机学报等国内外学术期刊和ICCV、KDD、ICC等国际会议上发表学术论文70余篇；曾获2017第二届中国大数据创新百人，2017中国大数据学术创新奖，辽宁省自然科学学术成果二等奖、IEEE MSN 2013最佳论文奖、国家教学成果二等奖、辽宁省教学成果一等奖、东北大学张捷迁基金奖、华为奖教金、宝钢优秀教师奖等多项学术奖励。
曾担任MSN 2018程序委员会主席（TPC Chair）、WoWMoM 2019宣传主席（Publicity Chair）等国际会议学术兼职，现为中国计算机学会高级会员、中国计算机学会物联网专委会委员、全国高校人工智能与大数据创新联盟专家委员会副主任、全国高校大数据教育联盟专家指导委员会委员、辽宁省大数据产业校企联盟副理事长、鲁迅美术学院-东北大学数字展示设计与技术联合实验室副主任。

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课程教学（曾经讲授）：

◆ 计算机硬件技术（本科生）

◆ 计算机网络（本科生）

◆ 软件工程（研究生）
◆ 高级语言程序设计（本科生）
◆ Big Data Analytics（留学生）
课程教学（目前承担）：

◆人工智能（本科生）

◆高级人工智能（研究生）

◆ Advanced Artificial Intelligence（留学生）

◆ 计算智能与信息系统（博士生）
参编教材：

◆ 计算机硬件技术

◆ 程序设计基础（C语言）
著作信息：
◆ JavaEE主流开发框架
◆ 图论及应用

◆ 计算几何及应用
教改项目：

◆ 基于华为软件开发云的软件工程专业协同育人模式探索与实践，教育部-华为产学合作协同育人新工科项目，2018年

◆ 基于TensorFlow框架的《高级人工智能》课程体系改革，教育部-Google产学合作协同育人项目，2017年

◆ 软件工程类专业国际化人才培养模式的探索与实践，辽宁省教改项目，2014年

◆ 软件工程国际化人才培养模式的研究与实践，东北大学教育科学研究项目，2012年
教改论文：

◆ Siyao Gong, Da Li, Nan Yin, Mei Li and Ruiyun Yu. International Collaborative Programs in Software Colleges of China, In proceedings of the 12th China - Europe International Symposium on SoftwareEngineering Education (CEISEE 2016), 2016

◆ 于瑞云, 朱志良. 软件工程专业国际化人才培养探索, 计算机教育, 2014.

◆ Ruiyun Yu, Nan Yin, Yitong Wang, Zhiliang Zhu. The Exploration and Practice of International Software Engineering Talent Training Mode. In Proceedings of the 2013 International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013), 2013.

◆ 李媚，朱志良， 李媚，朱志良，于瑞云. 国际化人才培养标准及高等教育国际化发展要求分析, 计算机教育, 第202期, pp. 23-27, 2013.

◆ 张爽，朱志良，于瑞云. 软件工程课程全英文教学模式研究, 计算机教育, 第202期, pp. 55-61, 2013.

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教学获奖：
◆ 国家教学成果二等奖，东北大学校企协同培育“实用性、复合型、国际化、创新型”软件人才的探索与实践，2018

◆ 辽宁省教学成果一等奖，软件工程学科国际化人才培养模式改革与实践，2018

◆ 东北大学教学成果一等奖，软件工程专业国际化人才培养模式改革与实践，2018

◆ 东北大学教学成果特等奖，面向卓越计划的人才培养模式的改革与实践，2014

◆ 辽宁省教学成果二等奖，软件工程专业创新型国际化人才培养模式的探索与实践，2013

◆ 东北大学教学成果特等奖，软件工程专业国际化人才培养模式改革与实践，2012

◆ 东北大学教学成果二等奖，复合型实用性信息安全专业教学体系的探索与实践，2010

◆ 第四届全国高等学校计算机课件评比三等奖，高级语言程序设计网络教学系统，2008

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招生方向一：智能感知与计算/大数据智能

方向简介：本方向主要通过人工智能和深度学习等方法，结合人工智能物联网（AIOT）、智慧城市应用系统等领域，在智能数据感知、多源大数据分析、智能组网、任务分配、云边端协同计算等方向开展理论研究和应用研究。智能感知与计算/大数据智能方向在工业、公共事业、商业、社交等诸多领域都有着广阔的应用前景。

招生人数：硕士3人/年、博士1人/年


招生方向二：计算机视觉

方向简介： 本方向主要通过人工智能和深度学习等方法，结合智慧安防、智能驾驶、增强现实/虚拟现实等领域，在目标检测、实例分割、视觉定位、SLAM、实时渲染、姿态识别等方向开展理论研究和应用研究。计算机视觉是当前最热门的研究方向之一，这一领域的研究将为人工智能行业的发展奠定基础。

招生人数：硕士3人/年、博士1人/年

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荣誉称号：
◆ 2017第二届中国大数据创新百人 - 中国大数据学术创新奖，2017

◆ 辽宁省百千万人才工程“百层次”人选，2017

◆ 辽宁省百千万人才工程“千层次”人选，2014

◆ 华为奖教金，2014

◆ 东北大学软件学院优秀共产党员，2014

◆ 东北大学先进教育工作者，2012

◆ 东北大学张捷迁基金奖，2010

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毕业生信息：
◆ 2019届毕业生
薛 林，硕士生，北京四达时代软件技术股份有限公司
杨 硕，硕士生，华为技术有限公司
蔡瑞莹，硕士生，科沃斯机器人股份有限公司
李滨滨，硕士生，南京苏宁软件技术有限公司


◆ 2018届毕业生
白志宏，硕士生，京东集团
石 佳，硕士生，百度在线网络技术(北京)有限公司
王俊楠，硕士生，完美世界股份有限公司
杨乐游，硕士生，东软集团
余 龙，硕士生，沈阳警官学院
苏 展，硕士生，东北大学博士在读


◆ 2017届毕业生
薛晓迪，硕士生，华为技术有限公司
安轩邈，硕士生，北京字节跳动科技有限公司（今日头条）
曾令兵，硕士生，上海高仙自动化科技发展有限公司
马 彧，硕士生，北京字节跳动科技有限公司（今日头条）
汪文昌，硕士生，东软集团
王译笙，硕士生，中国科学院沈阳自动化研究所
李福达，硕士生，百度在线网络技术(北京)有限公司


◆ 2015届毕业生
崔亚盟，硕士生，东峡大通（北京）咨询管理有限公司（OFO小黄车）
林乐超，硕士生，祖龙娱乐科技有限公司
王鹏飞，硕士生，东北大学博士在读

◆ 2014届毕业生
赵金龙，硕士生，华为技术有限公司
谭英松，硕士生，中国工商银行大连分行

◆ 2013届毕业生
王 希，硕士生，东软集团股份有限公司
夏兴有，硕士生，东北大学博士在读
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CONTACT INFOMATION
Dr. Ruiyun Yu
Professor, Vice dean
Software College
Northeastern University
Shenyang 110819
Shenyang, P. R China
Tel: +86-
Cell: +86-**
Email: yury@mail.neu.edu.cn
BRIEF INTRODUCTION
Dr. Ruiyun Yu is currently a professor, Ph. D. supervisor and vice dean of the Software College at Northeastern University, China. He received his Ph. D. and M.S. degree both in computer science and bachelor degree in Mechanical Engineering from Northeastern University in 2009, 2004, and 1997, respectively. From September 2006 to October 2007, he worked as a visiting scholar in the Center for Research in Wireless Mobility and Networking at the University of Texas at Arlington, US. He is one of the Hundred, Thousand and Ten Thousand Talents of Liaoning Province, China (Hundred Talents Level)..
His research interests include urban sensing and computing, data intelligence, mixed reality, etc.
He has been leading 10 projects funded by the National Natural Science Foundation Committee of China, the Ministry of Education of China, Liaoning Province government, etc. He also has been involved in 8 projects as a Co-PI or main participant. He has published more than 50 papers on high-quality journals and conferences, including IEEE Transactions on Services Computing (TSC)、IEEE Communications Magazine, Pervasive and Mobile Computing, Chinese Journal of Computer, KDD, UIC, ICCCN, MASS, MSN, etc. He is the only recipient of MSN 2013 Best Paper Award. He is now a committee member of the CCF IoT Committee, the Shenyang Committee of Industrialization and Informatization, the Editorial Committee of Big Data Textbooks of China Universities, etc.
PROFESSIONAL EXPERIENCE
l Jan 2016 ~ Present: Professor, Vice dean, Software College, Northeastern University, China
l Jan 2011 ~ Dec. 2015: Associate professor, Vice dean, Software College, Northeastern University, China
l May 2009 ~ Dec. 2010: Lecturer, Assistant dean, Software College, Northeastern University, China
l Sep. 2006 ~ Oct. 2007: Visiting scholar, Department of Computer Science and Engineering, University of Texas at Arlington, U.S.
l Oct. 2004 ~ May 2009: Lecturer, Computing Center, Northeastern University, China
PROFESSIONAL ACTIVITIES
l Publicity co-chair:WoWMoM 2019
l TPC co-chair:MSN 2018
l TPC member:WoWMoM 2017, ICCCN 2016, CWSN 2016, CWSN 2015, CWSN 2014, ICCCN 2014, WoWMoM 2013, IC3 2013, ICDCN 2012, FGCN 2008
l Journal paper reviewer:IEEE Transactions on Industrial Informatics, IEEE Transactions on Parallel and Distributed Systems, Sensors, Pervasive and Mobile Computing, IEEE Communication Magazine, IEEE Systems, Security and Communication Networks, Chinese Journal of Computers, Journal on Communications, Journal of Computer Research and Development, etc.
l Member, the IoT Committee of CCF
l member, Shenyang Committee of Industrialization and Informationization
l Member, IEEE Computational Intelligence Society
l Member, IEEE Computer Society
l Member, Association for Computing Machinery(ACM)
l Member, China Computer Federation(CCF)
RESERCH INTERESTS
l Crowd Urban sensing and computing
l Data intelligence
l Mixed reality
COURSE TAUGHT
l Advanced artificial intelligence
l Artificial intelligence
l Big data analytics
l Computer networks
l Computer hardware technology
l Introduction to computer programming (C language)
SELECTED GRANTS AND CONTRACTS
l The National Natural Science Foundation of China, No. **: Research on Data-Quality-Guaranteed Task Allocation Methods in Mobile Crowdsensing Systems, Amount: ￥630,000 , Period: 01/01/2017 - 12/31/2020 (PI).
l The Ministry of Education of China – China Mobile Joint Scientific Research Found, No. MCM**: Research on Key Technologies of Smart Tourism Platform based on Remote Sensing and Telecommunication Big Data, Amount: ￥900,000 , Period: 11/01/2016 - 12/31/2018 (Co-PI).
l The Hundred Thousand and Ten Thousand Talent Project of Liaoning Province, No.201514: Research on Key Technologies of User Behavior Analysis and Prediction in Telecommunication Networks, Amount: ￥100,000 , Period: 01/01/2016 - 12/31/2017 (Co-PI).
l The National Natural Science Foundation of China, No. **: Research on Crowdsourcing-based Dynamic Community Creation Methods in Participatory Sensing Systems, Amount: ￥810,000 , Period: 01/01/2013 - 12/31/2016 (PI).
l The Fundamental Research Funds for the Central Universities, No. N: Research on Reputation Evaluation and User Incentive Schemes in Participatory Sensing Systems, Amount: ￥150,000 , Period: 01/01/2013 - 12/31/2014 (PI).
l A State-owned Key Enterprise. Assembly and Testing Simulation System for High-level Equipment using Virtual Reality Technology, Amount: ￥420,000 , Period: 01/01/2013 - 12/31/2014 (PI).
l The Fundamental Research Funds for the Central Universities, No. N: Research on Key Technologies of Mobile Participatory Sensing Systems, Amount: ￥100,000 , Period: 01/01/2010 - 12/31/2012 (PI).
l The Doctoral Scientific Research Fund of Liaoning Province, No. **: Research on Prototype and Key Technologies of Real-time Participatory Sensing Systems, Amount: ￥40,000, Period: 01/01/2010 - 12/31/2012 (PI).
l The National High Technology Research and Development Program of China (863 Program), No. 2007AA041201: Research on Key technologies and Supporting Software Development for Industry Wireless Connection, Amount: ￥380,000, Period: 10/01/2007 - 8/31/2010 (Participant).
l The Research Fund for the Doctoral Program of Higher Education, No. : Research on ABC-supported Intelligent QoS Routing Mechanism in NGI, Amount: ￥60,000, Period: 01/01/2007 - 12/31/2008 (Participant).
l The National High Technology Research and Development Program of China (863 Program), No. 2006AA01Z214: Swarm-Intelligence-based QoS Routing Mechanism and Prototype in Ad Hoc Networks, Amount: ￥140,000, Period: 01/01/2007 - 12/31/2008 (Participant).
l The Natural Science Foundation of Liaoning Province, No. **: Research on ABC-supported Routing Selection Mechanism in the Next Generation Internet, Amount: ￥40,000, Period: 01/01/2007 - 12/31/2008 (Participant).
SELECTED PUBLICATIONS
| R.Yu, Z. Su, Q. Xie, J. Wang. SkeletonExtraction of Character Model Based on Space Segmentation. Chinese Journal of Computers, 2018. (In Chinese, Accepted)
| X. Xia, Z. Bai, J. li, R. Yu. A Location Cloaking Algorithm Based on Dummy and Stackelberg Game. Chinese Journal of Computers, 2018. (In Chinese, Accepted)
| J. Li, Y. Guo, T. Li, R. Yu, X. Wang. A Group Construction Algorithm Based on Density and Closeness Clustering in Mobile Communication Networks. The 14th International Conference on Mobile Ad-hoc and Sensor Networks(MSN 2018), 2018.
| D. Liu, L. Yang, R. Yu and Y. Liu. GeoLoc: A Geomagnetic Indoor Localization Algorithm with Iterative Uncertainty Elimination. The 14th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2018), ?2018.
| Ruiyun Yu, Xingyou Xia, Yan Zhou. Compressed Sensing based Cooperative Data Gathering Algorithm in Crowdsensing Systems. The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018), 2018.
| Xingyou Xia, Lin Xue, Jie Li, Ruiyun Yu. A Quality-Validation Task Assignment Mechanism in Mobile Crowdsensing Systems. International Conference on Wireless Algorithms, Systems, and Applications (WASA 2018). Springer, 2018: 786-792.
| R. Liu, J. Liang, W. Gao, R. Yu. Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users’ preferences. Future Generation Computer Systems, 80, 76-88, 2018
| L. Ma, X. Wang, R. Yu, G. Yang, J. Li, M Huang. Biomimicry of plant root growth using bioinspired foraging model for data clustering. Neural Computing and Applications, 29 (3), 819-836.
| C. Feng, S. Arshad, R. Yu, Y. Liu. Evaluation and improvement of activity detection systems with recurrent neural network. IEEE International Conference on Communications (ICC ‘18), 1-6, 2018
| R. Yu, X. An, B. Jin, J. Shi, OA Move, Y Liu. Particle classification optimization-based BP network for telecommunication customer churn prediction. ?Neural Computing and Applications, 29 (3), 707-720, 2018
| Xingyou Xia, Lingbing Zeng, Ruiyun Yu. HMM of Telecommunication Big Data for Consumer Churn Prediction. The 4th IEEE International Conference on Internet of People (IOP 2018), 2018.
| Pengfei Wang and Ruiyun Yu, Catalyze Sharing Economy: Optimized Multi-Task Allocation for Urban Transport Crowdsourcing. The 15th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC 2018), 2018.
| R. Cai, A. Guo, J. Ma, R. Huang, R. Yu, and C. Yang,“Correlation Analyses between Personality Traits and Personal Behaviors under Specific Emotion States Using Physiological Data from Wearable Devices,” The 10th International Conference on Cyber Science and Technology (CyberSciTech 2018), Athens, Greece, 2018
| Ruiyun Yu, Lin Xue, Xuanmiao An, Xingyou Xia. Telecommunication Customer Churn Prediction Algorithm Based on Improved GA-BP Network. Journal of Northeastern University, 2018. (in Chinese)
| Ruiyun Yu, Jinlong Zhao, Long Yu, Qianni Zhang. Collision detection algorithm based on AABB bounding box and space division. Journal of Image and Graphics. 2018. (in Chinese)
| Guangjie Han, Li Liu, Sammy Chan, Ruiyun Yu, Yu Yang. HySense: A Hybrid Mobile CrowdSensing Framework for Sensing Opportunities Compensation under Dynamic Coverage Constraint. IEEE Communications Magazine 55 (3), 93-99, 2017. (IF: 5.125).
| S. Liao, J. Wang, R. Yu, K. Sato, Z. Cheng. CNN for situations understanding based on sentiment analysis of twitter data. Procedia computer science, 111, 376-381, 2017.
| Ruiyun Yu, Pengfei Wang, Zhihong Bai, Xingwei Wang. Participatory Sensing: People-Centric Sensing and Computing. Journal of Computer Research and Development, 2017. (In Chinese)
| S. Arshad, C. Feng, Y. Liu, Y. Hu, R. Yu, S. Zhou, H. Li. Wi-chase: A WiFi based human activity recognition system for sensorless environments. IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2017.
| Rui Liu, Junbin Liang, Jiannong Cao, Kehuan Zhang, Wenyu Gao, Lei Yang, Ruiyun Yu. Understanding Mobile Users’ Privacy Expectations: A Recommendation-based Method through Crowdsourcing. IEEE Transactions on Services Computing (TSC), 2016. (IF: 2.365).
| Ruiyun Yu, Zhihong Bai, Leyou Yang, Pengfei Wang, Oguti Ann Move, Yonghe Liu. A Location Cloaking Algorithm Based on Combinatorial Optimization for Location-Based Services in 5G Networks. IEEE Access, vol. 4, 2016.
| Bo Jin, Chao Che, Kuifei Yu, Yue Qu, Li Guo, Cuili Yao, Ruiyun Yu, Qiang Zhang. Minimizing Legal Exposure of High-Tech Companies through Collaborative Filtering Methods. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016), San Francisco, CA, USA, 2016.
| L. Guo, B. Jin, R. Yu, C. Yao, C. Sun and D. Huang. Multi-label classification methods for green computing and application for mobile medical recommendations," in IEEE Access, vol. 4, no. , pp. 3201-3209, 2016.
| Ruiyun Yu, Yu Yang, Leyou Yang, Guangjie Han and Oguti Ann Move. RAQ – A Random Forest Approach for Predicting Air Quality in Urban Sensing Systems, Sensors, 2016, 16(1), 86 (SCI, EI)
| J. Li, X. Wang, R. Yu, R. Liu. Reputation-based incentives for data dissemination in mobile participatory sensing networks. International journal of distributed sensor networks, 11 (12), 172130, 2016.
| Ruiyun Yu, Pengfei Wang and Shiyang Liao.LAPM: The Location Aware Prediction Model in Human Sensing System,International Journal of Distributed Sensor Networks (IJDSN), Vol. 2015.
| Xingwei Wang, Dapeng Qu, Min Huang, Keqin Li,Sajal K. Das, Jinhong Zhang, Ruiyun Yu. Multiple many-to-many multicast routing scheme in green multi-granularity transport networks, Computer Networks, 2015.
| Ruiyun Yu, Xingyou Xia, Shiyang Liao and Xingwei Wang. A Location Prediction Algorithm with Daily Routines in Location-Based Participatory Sensing Systems, International Journal of Distributed Sensor Networks (IJDSN), Vol. 2015.
| Heng Li, Yonghe Liu, Yi Sun, and Ruiyun Yu. Place Identification in Location Based Urban VANETs, the 12th International Conference on Mobile Ad Hoc and Sensor Systems (MASS 2015), 2015.
| Ruiyun Yu, Xingyou Xia, Jie Li, Yanzhou, Xingwei Wang. Social-Relationship-Based Mobile Node Location Prediction Algorithm in Participatory Sensing Systems. Chinese Journal of Computers, 2015, 38(2) (In Chinese)
| Ruiyun Yu, Yan Zhou.Compressed Sensing Based Data Acquisition Algorithm in Participatory Sensing System.Journal of Northeastern University. 2014. (In Chinese)
| Ruiyun Yu and Pengfei Wang. Node-Dependence-Based Dynamic Incentive Algorithm in Opportunistic Networks, Mathematical Problems in Engineering,vol. 2014, 2014. doi:10.1155/2014/569129.
| Ruiyun Yu, Pengfei Wang and Zhijie Zhao. The Location Fingerprinting and Dead Reckoning Based Hybrid Indoor Positioning Algorithm, Communications in Computer and Information Science, 2014.
| Ruiyun Yu, Pengfei Wang and Zhijie Zhao. NDI: Node-dependence-based Dynamic gaming Incentive algorithm in opportunistic networks. The 23rd International Conference on Computer Communications and Networks (ICCCN 2014).
| Ruiyun Yu, Rui Liu, Xingwei Wang and Jiannong Cao. Improving Data Quality with an Accumulated Reputation Model in Participatory Sensing Systems. Sensors. 2014, 14(3): 5573-5594.
| J. Li, R. Liu, R. Yu, X. Wang, Z. Zhao. Reputation-Based Participant Incentive Approach in Opportunistic Cognitive Networks. Advanced Computer Architecture, 201-214, 2014.
| Ruiyun Yu, Xingwei Wang, Sajal K. Das. An Information Entropy Approach for Sleep Scheduling in Densely-deployed Sensor Networks. The IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2013), pp. 181-186, 2013.
| J. Li, X. Xia, R. Yu, X. Wang, Y. Zhou. Social-Aware Mobile Trajectory Prediction Algorithm in Participatory Sensing Systems. The 5th International Conference on Advanced Computer Control (ICACC2013), Singapore, 2013.
| Ruiyun Yu, Wanjian Wu, Nian Xia, Haobo Geng, and Mingyu Liu. Participatory Sensing and Distance-Weighted Diffusion Interpolation on Real-time CO2 Surveillance. Journal of Convergence Information Technology, Vol. 8, No. 8, pp. 854 ~ 862, 2013.
| Ruiyun Yu, Xingwei Wang, Jie Li, Xingyou Xia, Xi Wang. An Information Entropy Approach for Sleep Scheduling in Wireless Sensor Networks. The 1st International Workshop on Computing and Networking for Internet of Things, Hongkong, China, 2012.
| X. Chen, X. Xia, R. Yu. Quantum ant colony algorithm based on bloch coordinates. International Conference on Information Computing and Applications, 405-412, 2012.
| Ruiyun Yu, Wanjian Wu, Nianxia, Haobo Geng, and Mingyu Liu. Real-time Carbon Dioxide Emission Monitoring System Based on Participatory Sensing Technology. The 4th International Workshop on Advanced Computational Intelligence (IWACI), Wuhan, China, 2011.
| Ruiyun Yu, Xingwei Wang, Yonghe Liu. Correlation Dominating Set Construction Based upon Entropy Evaluation in Wireless Sensor Networks. Chinese Journal of Computer, 2011, 34(1): 87-95. (In Chinese)
| J. Li, X. Wang, R. Yu, J. Jia. The adaptive routing algorithm depending on the traffic prediction model in cognitive networks. The First International Conference on Pervasive Computing Signal Processing and Applications (PCSPA), 2010.
| Ruiyun Yu, Xingwei Wang. Voronoi Diagram-based Mobile Element Schedule Algorithm. Computer Engineering, 2010, 36(1): 91 - 96. (In Chinese)
| Q. Song, Z. Wen, X. Wang, L. Guo, R. Yu. Time-adaptive vertical handoff triggering methods for heterogeneous systems. International Workshop on Advanced Parallel Processing Technologies, 302-312, 2009.
| J. Jia, R. Yu, J. Li, L. Zhao, G. Chang. Sleep Scheduling Based on Probabilistic Detection Model for Wireless Sensor Networks. The Ninth International Conference onHybrid Intelligent Systems (HIS 2009), Shenyang, China, 2009.
| Ruiyun Yu, Xingwei Wang, Sajal K. Das. EEDTC: Energy-efficient dominating tree construction in multi-hop wireless networks. Pervasive and Mobile Computing , 2009, 5(4): 318-333
| Ruiyun Yu, Xingwei Wang, Jie Li. Joint Consideration of Entropy and Voronoi Diagram for Sensor Network Deployment. The Ninth International Conference on Hybrid Intelligent Systems (HIS 2009), Shenyang, China, 2009.
| Ruiyun Yu, Xingwei Wang, Xiushuang Yi. Energy-Balancing Data Collection Based on the Multiplicatively Weighted Voronoi Diagram in Sensor Networks.Journal of Northeastern University, 2009, 30(12): 1718 - 1722. (In Chinese)
| Ruiyun Yu, Xingwei Wang, Sajal K. Das. A Voronoi Diagram Approach for Mobile Element Scheduling in Sparse Sensor Networks. The 2nd International Conference on Future Generation Communication and Networking (FGCN ‘08), Sanya, China, 2008: 62-67
| Ruiyun Yu, Xingwei Wang, Yonghe Liu, Sajal K. Das. Energy-efficient dominating tree construction in wireless ad hoc and sensor networks. The 9th International Conference on Distributed Computing and Networking, Kolkata, India, 2008 (Lecture Notes in Computer Science, 4904: 558-569).
| Ruiyun Yu, Qiang Chen, Xingwei Wang, Sajal K. Das. Efficient Data Gathering in Partially Connected and Delay-Tolerant Wireless Sensor Networks. The Fifth International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, Hongkong, China, 2008
| Ruiyun Yu, Xingwei Wang, Sajal K. Das. Efficient data gathering using mobile elements in partially connected sensor networks. Chinese Control and Decision Conference, Yantai, China, 2008: 5337-5342
HONORS
lTeaching Achievement of Liaoning Province, First Award, 2018
lAcademic Innovation Award of China in Big data, 2017
lThe Hundred, Thousand and Ten Thousand Talentof Liaoning Province (hundred talents level), 2017
lHuawei Research Grant, 2014
lTeaching Achievement of Northeastern University, Special Prize, 2014
lThe Best Paper Award, An Information Entropy Approach for Sleep Scheduling in Densely-deployed Sensor Networks, the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks (MSN 2013), 2013
lTeaching Achievement of Liaoning Province, Second Award, 2013
lOutstanding Educator of Northeastern University, 2012
lTeaching Achievement of Northeastern University, Special Prize, 2012
lNatural Science Academic Achievement of Liaoning Province, Second Prize, 2011
lTeaching Achievement of Northeastern University, Second Prize, 2010
lZhang Jieqian Foundation Prize of Northeastern University, 2010
lThe 4thNational Universities Courseware Contest, Third Award, 2008

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姓名： 于瑞云
工作单位： 软件学院
学历： 博士
职称： 教授、博士生导师
行政职务： 副院长（负责学科建设与发展规划、国际化办学等工作）
电话： +86-
电子邮箱： yury@mail.neu.edu.cn

于瑞云，男，计算机应用技术工学博士，东北大学软件学院教授、博士生导师、副院长。1997年7月毕业于东北大学流体传动及控制专业，获工学学士学位；2004年3月毕业于东北大学计算机应用技术专业，获工学硕士学位；2009年1月毕业于东北大学计算机应用技术专业，获工学博士学位。2017年入选辽宁省百千万人才工程“百层次”人才, 2018年入选沈阳市领军人才。曾以访问学者身份在美国加州大学尔湾分校（2018.12-2019.3）、德克萨斯大学阿灵顿分校（2006.9-2007.10）等国外高校从事访问研究。
自2009年起历任东北大学软件学院院长助理、副院长，曾主管过本科教学、校企合作、国际化办学等工作，现在负责学院国际化办学、学科建设工作，在教学改革、校企合作、国际化办学、学科建设等方面取得了较好的工作成绩。主讲人工智能、高级人工智能、大数据分析技术、计算智能与信息系统等课程。
主要研究方向为智能感知与计算、计算机视觉、大数据智能等，重点结合智慧城市、物联网、增强现实/虚拟现实、人工智能等应用背景在数据感知、用户行为分析、数据分析、视觉计算、深度学习等方面开展科学研究。作为项目负责人主持国家自然科学基金面上项目等研究课题12项，主持企业技术攻关课题8项；以主要参加者身份参加863计划重点项目等国家级、省部级纵向课题9项；在ACM Transactions on Sensor Networks（ToSN）、IEEE Transactions on Services Computing (TSC)、Pervasive and Mobile Computing、计算机学报等国内外学术期刊和ICCV、KDD、ICC等国际会议上发表学术论文70余篇；曾获2017第二届中国大数据创新百人，2017中国大数据学术创新奖，辽宁省自然科学学术成果二等奖、IEEE MSN 2013最佳论文奖、国家教学成果二等奖、辽宁省教学成果一等奖、东北大学张捷迁基金奖、华为奖教金、宝钢优秀教师奖等多项学术奖励。
曾担任MSN 2018程序委员会主席（TPC Chair）、WoWMoM 2019宣传主席（Publicity Chair）等国际会议学术兼职，现为中国计算机学会高级会员、中国计算机学会物联网专委会委员、全国高校人工智能与大数据创新联盟专家委员会副主任、全国高校大数据教育联盟专家指导委员会委员、辽宁省大数据产业校企联盟副理事长、鲁迅美术学院-东北大学数字展示设计与技术联合实验室副主任。