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王悦(计算机系)

发布时间 :2014年04月10日浏览量 :更新时间 :2024年01月16日


个人简历

姓名:王悦

职称:副教授

系别:计算机科学与技术系

学术兼职:中国计算机学会(CCF)数据库专委会(NDBC)通讯委员、计算机术语审定工作委员。

联系方式:wangyuecs@cufe.edu.cn

教育经历

2010年在四川大学计算机学院获得工学博士

工作经历

2017.09-2018.09,伊利诺伊大学芝加哥分校(University ofIllinois at Chicago),访问学者

2014.10-至今,ladbrokes立博体育英国立博集团官网计算机科学与技术系,副教授

2012.06-2014.10,ladbrokes立博体育英国立博集团官网计算机科学与技术系,讲师

2010.07-2012.06,北京大学信息科学技术学院计算机科学与技术系,博士后

研究方向

数据挖掘,深度学习模型的经济学解释,强化学习

讲授课程

本科:

《Java程序设计》,《操作系统》,《数据库系统》,《数据挖掘》

研究生:

《高级数据库》,《互联网经济风险专题》

研究成果

期刊论文

[1] Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui, Guandong Xu. Generative Temporal Link Prediction via Self-tokenized Sequence Modeling [J]. World Wide WebJournal(CCFB)(2020)

[2] Lixin Cui, Lu Bai, Zhihong Zhang, Yue Wang, Edwin R. Hancock. Identifying the most informative features using a structurally interacting elastic net. Neurocomputing(CCFC)336: 13-26 (2019)

[3] Fei Xiao, Yue Wang, Yinan Mei, Lu Bai, Lixin Cui.基于出行模式子图的城市功能区域发现方法(City Functional Region Discovery Algorithm Based on Travel Pattern Subgraph). 计算机科学 45(12): 268-278 (2018)

[4] 王悦, 黄威靖. ELPS: 一种高效的微博信息传播轨迹提取算法. 计算机科学,2014,41(4):233-238,255

[5] Yue Wang, Weijing Huang, Lang Zong, Tengjiao Wang, Dongqing Yang. Influence maximization with limit cost in social network [J]. Science China Information Sciences(CCFB), 2013, 56(7): 1-14.

[6] 王悦, 唐常杰, 杨宁, 张悦, 李红军,郑皎凌.在不确定数据集上挖掘优化的概率干预策略.软件学报22.2 (2011).

[7] 王悦, 唐常杰, 杨宁, 陈瑜, 徐开阔. 基于基因表达式编程的进化模式定理. 四川大学学报(工程科学版) 41.2(2009).

[8] 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌. 一种基于时态密度的倾斜分布数据流聚类算法. 软件学报21.5 (2010): 1031-1041.

[9] 杨宁, 唐常杰, 王悦, 陈瑜, 郑皎凌. 基于谱聚类的多数据流演化事件挖掘.软件学报21.10 (2010): 2395-2409.

[10] 李红军, 唐常杰, 乔少杰, 代术成, 王悦, 郑皎凌. UTR-Tree: 受限网络中移动对象不确定轨迹索引模型."四川大学学报: 工程科学版 (2010): 118-125.

学术会议

[1] Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock. A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis. IJCAI 2020(CCFA).

[2] Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu. Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM 2019(CCFB): 1366-1371

[3] Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui. Market Abnormality Period Detection via Co-movement Attention Model. IEEE BigData(CCFC)2018: 1514-1523

[4] Yue Wang, Chenwei Zhang, Shen Wang, Philip S. Yu, Lu Bai, Lixin Cui. Deep Co-Investment Network Learning for Financial Assets. ICBK 2018: 41-48

[5] Lixin Cui, Lu Bai, Luca Rossi, Yue Wang, Yuhang Jiao, Edwin R. Hancock. A Deep Hybrid Graph Kernel Through Deep Learning Networks. ICPR(CCFC)2018: 1030-1035

[6] Yuhang Jiao, Lixin Cui, Lu Bai, Yue Wang. Analyzing Time Series from Chinese Financial Market Using a Linear-Time Graph Kernel. S+SSPR 2018: 227-236

[7] Yue Wang ,Lu Bai, Link predictionvia Supervised Dynamic NetworkFormation, ICPR(CCFC), 2016, Cancun, 2016.12.4-2016.12.8

[8] Wang Yue, Discovering the Causal Network of Terms from the Text Corpus, The 12th IEEE International Conference on e-Business Engineering (ICEBE) 2015, 2015.10.23-2015.10.25

[9] Yue, Wang. Exploring the Intervention Problem with the Networked Poisson Process in a Real Heterogeneous Social Network. Web-Age Information Management(CCFC). Springer, 2014. 150-154.

[10] Yue Wang, Changjie Tang, Tengjiao Wang, Dongqing Yang, and Jun Zhu. Efficient Subject-oriented Evaluating and Mining Methods for Data with Schema Uncertainty. ADMA 2011.

[11] Yue Wang, Weijing Huang, Wei Chen, Tengjiao Wang, Dongqing Yang: Informed Prediction with Incremental Core-Based Friend Cycle Discovering. WAIM(CCFC)2011:530-541

[12] Yue Wang, Jie Zuo, Ning Yang, Lei Duan, Chang-an Yuan and Jun Zhu. An Efficient Approach for Mining Segment-Wise Intervention rules in Time-Series Streams. WAIM(CCFC)2010.

[13] Yue Wang, Changjie Tang, Chuan Li, Yu Chen, Ning Yang, Rong Tang. Intervention events detection and prediction in data streams. Advances in Data and Web Management(CCFC). Springer Berlin Heidelberg,2009. 519-525.

[14] Wei Chen, Lang Zong, Weijing Huang, Gaoyan Ou, Yue Wang, Dongqing Yang. An Empirical Study of Massively Parallel Bayesian Networks Learning for Sentiment Extraction from Unstructured Text. APWeb(CCFC)2011 :424-435

[15] TengfeiJi, Xiaoyuan Bao, Yue Wang, Dongqing Yang. A Fuzzy K-modes-based Algorithm for Soft Subspace Clustering. Fuzzy Systems and Knowledge Discovery(FSKD), 2011 Eighth International Conference on. Vol. 2. IEEE, 2011.

[16] Hongjun Li, Changjie Tang, Shaojie Qiao,Yue Wang, Ning Yang, and Chuan Li, Hotspot District Trajectory Prediction.(Ed.H.T. Shen et al.) ): WAIM 2010 Workshops, LNCS 6185, pp. 74–84, 2010.©Springer-Verlag Berlin Heidelberg 2010

[17] Ning Yang, Changjie Tang, Yue Wang, Rong Tang, Chuan Li, Jiaoling Zheng, JunZhu, Mining Interventions from Parallel Event Sequences. In: Proc. of APWeb-WAIM(CCFC) 2009, P297-307.

[18] Jie Zuo, Changjie Tang, Lei Duan, Yue Wang, Liang Tang, Tianqing Zhang, and JunZhu. Meta Galaxy: A Flexible and Efficient Cube Model for Data Retrieval in OLAP. The International Workshop on Database and Information Retrieval &Aspects in Evaluating Holistic Quality of Ontology-based Information Retrieval (APWeb-WAIM Workshop), 2009.

[19] Yu Chen, Changjie Tang, Chuan Li, Yue Wang, Ning Yang, and Mingfang Zhu. HDN-GEP:A Novel Gene Expression Programming with High Density Node." Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on. Vol. 1. IEEE, 2008.

研究项目

1.北京市社会科学青年项目,15JGC150,基于北京路况大数据的交通治理策略研究,2015/07-2018/7,5万元,已结题,主持;

2.ladbrokes立博体育青年科研创新团队项目,基于异质复杂网络的动态融资风险评估方法,2015/07-2018/07,30万元,已结题,主持;

3.北京市社会科学一般项目,14JGB081,首都政府采购网络防腐策略研究,2014/01-2016/12,8万元,已结题,参加;

4.ladbrokes立博体育121人才工程青年博士发展基金,QBJ1429,基于Web的金融风险网络扩散模式的发现,2014/07-2016/06,2万元,已结题,主持;

5.企事业单位委托项目,中软塞科(北京)咨询有限公司,复杂异质政务大数据通用内容提取分析平台,2014/06-2015/06,2.5万元,已结题,主持;

6.企事业单位委托项目,网秦创新团队课题,异质复杂政务数据挖掘云平台的研究,2013/11-2014/10,1万元,已结题,主持;

7.企事业单位委托项目,中国运载火箭研究院,火箭气动数据库技术研究,2011/03-2012/03,20万元,已结题,主持;

8.国家863计划(子课题),2012AA011002,海量web数据结构化内容提取与集成及大型示范应用,2012/01-2014/12,198万元,已结题,参加;

9.国家自然科学基金课题,6077316925,亚复杂系统干预规则挖掘关键技术研究,2008/01-2010/12,25万元,已结题,参加。

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