余力

余力 博士,vnsc威尼斯城官网副教授,博士生导师(计算机应用技术),硕士生导师(管理科学与工程、软件工程)。目前研究方向为大数据分析与应用、推荐系统、深度学习、数据挖掘与商务智能、社会网络营销、金融科技与数据分析、电子商务与互联网+、IT项目管理等。主持或参与多项国家自然科学基金、省部级科研项目。在国内外重要学术期刊、学术会议发表论文60多篇,获中国人民大学科研成果优秀奖、教学优秀奖等。

详细>>

电话 :86-10-82500907

电子邮箱:buaayuli@ruc.edu.cn

详细资料

教育经历

1991-1993 江西宜春师范专科学校数学系

1993-1995 江西师范大学教育科学学院

1998-2001 南昌大学数理学院 管理科学与工程硕士

2001-2004 北京航空航天大学经济管理学院 系统工程博士

工作经历

1995-1998 南昌高等专科学校任教

2004-Now vnsc威尼斯城官网 讲师 副教授

研究方向

大数据分析与应用

个性化推荐系统

金融科技与数据分析

深度学习与数据挖掘

电子商务与商务智能

IT项目管理

讲授课程

大数据与互联网+应用、高级信息系统(深度学习与推荐系统)、Python数据分析、Python机器学习、金融学、C程序设计、决策支持系统、离散数学

对学生的培养要求

扎实打基础,静心做科研;

跟踪国际前沿,瞄准领域创新;

理论研究与系统实现相结合。

科研项目

1.中国人民大学培育项目,大数据驱动的智能投研系统分析与推荐研究,2020.01-2022.12,在研,主持

2.天津电网项目,基于大数据分析的电网资产精益管理,2019.01-2020.12,在研,主持

3.国家社科基金重大项目,大数据驱动的社交网络舆情主题图谱构建及调控策略研究,2018-2021,在研,主要参与人

4.国家自然科学基金重点项目:在线个性化定制系统的设计特性对消费者定制行为的影响研究,2014.01-2017.12,主要参与人

5.北京市自然科学基金:基于文献推荐的科研选题决策支持系统研究,2013.01-2015.12,主持人

6.国家自然科学基金面上项目:推荐-采纳模式下病毒营销用户影响传播机制研究,2013.01-2016.12,主持人

7.教育部人文社科项目:基于推荐的病毒营销用户影响研究,2011.12-2014.12,主持人

8.中国人民大学重大基础研究计划:社会计算若干重要问题研究,2010.10-2015.09,主要参与人

9.中国人民大学科研基金:基于个性化推荐的客户智能,2006.01-2006.12,主持人

10.国家自然科学基金面上项目:电子商务个性化推荐系统及应用研究,2004.01-2006.12,主要参与人

科研成果

[1]Youfang Leng, Li Yu*, Jie Xiong, and Guanyu Xu, Recurrent Convolution Basket Map for Diversity Next-basket Recommendation, 25th International Conference on Database Systems for Advanced Applications (DASFAA2020), Sep. 24-27, 2020, Jeju, South Korea

[2]Youfang Leng, Li Yu*, Jie Xiong, DeepReview: Collaborative Grammar and Innovation Deep Network for Automatic Paper Review, 2019 International Conference on Multimodal Interaction, PP. 395-403, Suzhou, China, Oct 14-18, 2019

[3]傅哲,辛泓润,余力*,徐冠宇,基于使用行为分析的共享单车管理优化研究,信息系统学报,2019年第21辑,pp 81-94

[4]Li Yu*, Zhuangzhuang Wang, Hongrun Xin, Wei Zhang, Xuefang Li, Haiyan Wang, Exploratory Recommender Systems Based on Reinforcement Learning for Finding Research Topic, The 30th International Conference on Software Engineering & Knowledge Engineering(SEKE2018), July 1 - July 3, 2018, California, USA

[5]Li Yu, Chenlu Jiao, Hongrun Xin, Guanyu Xu, Yingjie Liu*, Revenue Maximization with Deadline in Viral Marketing, IEEE Symposium on Computers and Communications (ISCC2018) June 25-28, 2018, Brazil

[6]Li Yu*, Chenlu Jiao, Hongrun Xin, Yan Wang, Kaiyang Wang, Prediction on Housing Price Based on Deep Learning, International Conference on Web-age Information Management 2018, International Journal of Computer, Electrical, Automation, Control and Information Engineering,Vol.12(2),2018,pp76-85

[7]傅哲、余力*, 基于使用行为分析的共享单车管理优化,信息系统协会中国分会2017年会(CNAIS2017),上海

[8]余力*, 黄云, 高凯, 张燕磊. 一种基于Web2.0的协同评价与群体决策方法[J]. 系统工程, 2017(6):145-151.

[9]Xiaoping Yang,Zhongxia Zhang, Zhongqiu Zhang, Liren Sun,Cui Xu,Li Yu*. A Long-Term Prediction Model of Beijing Haze Episodes Using Time Series Analysis[J]. Computational Intelligence & Neuroscience, 2016, 2016:17.

[10]Yang, X., Zhang, Z., Zhang, Z., Mo, Y., Li, L., & Li, Y., et al. (2016). Automatic Construction and Global Optimization of A Multi-sentiment Lexicon[J]. Computational Intelligence and Neuroscience,2016,(2016-11-29), 2016(5), 2.

[11]杨小平、马奇凤、余力*、莫雨婷、吴佳楠、张悦,评论簇在网络舆论中的情感倾向代表性研究,现代图书情报技术, 2016, 32(7): 51~59

[12]余力,基于时间延迟的病毒营销传播研究,第22届海峡两岸信息管理发展与策略学术研讨会, 2016/07, 台湾

[13]Chunyang Cao, Yang Hu, Li Yu*, Containmentof Rumors under Limit Cost Budget in Social Network,The 14th Wuhan International Conference on E-Business(WHICEB2015), Wuhan,2015.6.19-2015.6.22

[14]Li Yu, Collaborative Aggregation for Improving Group Decision Robust, The First-ever Computational Social Science Summit (CCCS2015). May, 2015. Chicago, IL

[15]Zezhong Zhang, Li Yu* (2014): Academic Hot-spot Analysis on Information System Based on Co-term Network, Pacific Asia Conference on Information System (PACIS2014), 2014.6.25-28, Chengdu, China

[16]Nan wang, Li Yu* ,Ni Ding, Dong Yang, Containment of Misinformation Propagation in Online Social Networks With Given Deadline, Pacific Asia Conference on Information System (PACIS2014)China, Chengdu, 2014.6.25-2014.6.28

[17]Hiayan Zhang, Li Yu*, Xun Liang, A Collaborative Method of Aggregating Group Opinion Based on Incomplete Preferences, Pacific Asia Conference on Information System (PACIS2014), Chengdu, 2014.6.25-2014.6.28

[18]Li Yu*,Nan Wang, Predicting Viral Marketing Propagating Efficiency Within Given Deadline,Pacific Asia Conference on Information System (PACIS2014),Chengdu, 2014.6.25-2014.6.28

[19]Li Yu*, Jie Yang, Dong Yang, XiaoPing Yang (2013): A Decision Support System for Finding Research Topic Based on Paper Recommendation, Pacific Asia Conference on Information System (PACIS2013), 2013.6.18-22, Jeju Island, Korea

[20]Li Yu*, Haiyan Zhang, Xun Liang, Collaborative Aggregation of Individual Rating for Group Evaluation, Pacific Asia Conference on Information System (PACIS2013),Jeju Island, 2013.6.18-2013.6.22

[21]余力*,王冬雪,基于社交网络的病毒营销代言费优化研究,信息系统协会中国分会第五届学术年会(CNAIS2013), 贵阳, 2013.10.17-2013.10.19

[22]余力*,丁妮,杨小平,面向论文评审的专家推荐方法研究及系统实现,信息系统协会中国分会第五届学术年会(CNAIS2013), 贵州, 2013.10.17-2013.10.19

[23]余力*,面向社会化定制的产品配置优化,第12届全国青年管理科学与系统科学会议(JCMSS2013), 厦门, 2013.11.16-2013.11.18

[24]Li Yu*, Qiulin Li, Xun Liang (2012): Research on Viral Marketing Propagating Oriented to Marketing Context, International Conference on Information System (ICIS2012), 2012.12.16-19, Orlando Florida USA

[25]余力*、陈明远、杨小平 (2012):基于社会网络的病毒营销传播效率预测,信息系统学报(第10辑),2012年6月,p96-105

[26]Li Yu*, Zhaoxin Shu, Xiaoping Yang (2010), SimRate: Improve Collaborative Recommendation Based on Rating Graph for Sparsity, Advanced Data Mining and Applications, Lecture Notes in Computer Science, 2010, Volume 6441/2010, p167-174

[27]Li Yu*, Xiaoping Yang (2010), Building Complete Collaborative Filtering Method System. IEEE International Conference on Intelligent Systems & Knowledge Engineering (ISKE2010), Nov. 15-16, 2010, HangZhou, China, p412-417

[28]Zhaoxin Shu, Li Yu*, Xiaoping Yang (2010), Personalized Tag Recommendation Based on User Preference and Content, Advanced Data Mining and Applications, Lecture Notes in Computer Science, 2010, Volume 6441/2010, p348-355

[29]Shuang Song*, Li Yu, Xiaoping Yang (2010), LDA-based User Interests Discovery in Collaborative Tagging System, IEEE International Conference on Intelligent Systems & Knowledge Engineering (ISKE2010), Nov. 15-16, 2010, HangZhou, China, p338-343

[30]Li Yu (2008): Using Ontology to Enhance Collaborative Recommendation Based on Community, The Ninth International Conference On Web-Age Information Management (WAIM2008), July 20-22, 2008, Zhangjiajie, China (EI: 083911587480)

[31]Li Yu (2008): Using Matrix Model to Find Association Rule Core for Diverse Compound Critiques, The Fourth International Conference on Advanced Data Mining and Applications (ADMA2008), July 25-27, 2008, Chengdu, China, To Appear

[32]Li Yu, Zhaoli Meng, Rong Wang (2008): Pre-filling based on Community for Sparsity in Collaborative Filtering, Proceedings - International Symposium on Information Processing, ISIP 2008 and International Pacific Workshop on Web Mining and Web-Based Application, WMWA 2008, Japan, May 20-23, 2008, p41-45 (EI: 083811576149)

[33]Li Yu, Xiaoping Yang, Qian Li (2008): Recommender Oriented to Complicate Task in E-commerce, Proceedings of the International Symposium on Electronic Commerce and Security, ISECS 2008, Aug. 3-5 2008, Guangzhou, p 767-770 (EI Accession number: 084311653931; ISTP IDS Number: BII87 )

[34]Li Yu, Ming Dong, Rong Wang (2008): Taxonomy for Personalized Recommendation Service, Proceedings of the International Symposium on Electronic Commerce and Security, ISECS 2008, Aug. 3-5 2008, Guangzhou, p 657-660 (Accession number:084311653908)

[35]Li Yu, Xiaoping Yang (2007): Collaborative Filtering Recommendation based on Preference Order, International Conference on Research and Practical Issues of Enterprise Information System (CONFENIS2007), October 14-16, 2007, Beijing, in Research and Practical Issues of Enterprise Information Systems II Volume 2, IFIP Volume 255, eds. L. Xu, Tjoa A., Chaudhry S. (Boston: Springer), pp.1567-1573 (ISTP IDS Number: BGU65)

[36]Li Yu, Xiaoping YANG (2007), Personalized Services for E-commerce in China, Advances in Information Theories and Technologies --- Proceedings of 13th Cross-Strait Academic Conference on Development & Strategies of Information Management, August 18-20,2007, Beijing, P366-369

[37]Li Yu, Meiyun Zuo (2007), A Two-tier Hybrid Personalized Recommendation Method, Advances in Information Theories and Technologies --- Proceedings of 13th Cross-Strait Academic Conference on Development & Strategies of Information Management, August 18-20,2007, Beijing, P362-365

[38]余力, 董斯维, 郭斌, 电子商务推荐攻击研究, 计算机科学, 2007-5

[39]余力、左美云,协同管理模式理论框架研究,中国人民大学学报,2006-3

[40]余力、左美云,基于个性化推荐的客户智能,第一届中国信息系统协会成立大会(CNAIS2005),2005-11,中国 北京

[41]Li Yu, ZUO Meiyun, YANG Bo, Analysis and Design of E-supermarket Shopping Recommender System, The Seventh International Conference on Electronic Commerce (ICEC2005), Aug. 2005, Xi’an, China

[42]Li Yu, Lu Liu, Xuefeng Li, A Hybrid Collaborative Filtering Method for Multiple-interests and Multiple-content Recommendation in E-Commerce, Expert Systems with Applications, Vol.28, Jan. 2005, p 67-P77

[43]Li Yu, Lu Liu, Personalized Recommendation in E-Commerce and its Application in China , The Seventh International Conference on Industrial Management,Nov. 2004, Japan, p 825-830

[44]余力、刘鲁,电子商务个性化推荐研究,计算机集成制造系统,2004年10月,第10卷第10期,P1306-P1313 Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, v 10, n 10, October, 2004, p 1306-1313 Language: Chinese

[45]余力、刘鲁、李雪峰,用户多兴趣下的个性化推荐算法研究,计算机集成制造系统,2004年12月,第10卷第12期,P1610-P1615

[46]余力、刘鲁、罗掌华,我国电子商务推荐功能的比较分析,系统工程理论与实践,第8期P96-P101,2004年8月

计算机软件著作权

冷友方、余力,基于深度学习的学术论文自动评审系统V1.0,专利号: 2019SR0465582,软著登字第3886339号

冷友方、余力,城市交通拥堵数据爬取与分析系统V1.0,专利号: 2019SR0536071,软著登字第3886339号

社会兼职

信息系统协会中国分会(CNAIS)会员;

企业集成信息系统协会(EIS)会员

荣誉获奖

2010年中国人民大学科研成果优秀奖

2010年中国人民大学教学优秀奖

2009年第五届中国人民大学青年教师教学基本功赛一等奖

2006年北京航空航天大学优秀博士论文奖

2007年北京市青年优秀科技论文二等奖

2008年中国人民大学优秀党员

2009年vnsc威尼斯城官网先进工作者