联系方式

E-mail:swangcs@whu.edu.cn

办公电话:

办公地点:C502

王胜

武汉大学计算机学院 计算机科学系 副教授 (博导)

 王胜    
  • 姓名:王胜

  • 主页:http://shengwang.site/

  • 性别:

  • 职称:副教授 (博导)

  • 学历学位:博士

  • 电话:  

  • 办公地点:C502

  • E-mail:swangcs@whu.edu.cn

  • 领域:数据管理,数据库

  • 招生信息:年度招收硕士0名,招收方向:。 招收博士1名,招收方向:计算机科学与技术。


研究方向

  • 空间数据库

  • 大规模轨迹数据管理及分析

  • 数据驱动的智能交通

  • 高效快速聚类

具体研究领域可参见其学术主页:http://shengwang.site/


=============招生信息=============

2022年将招收博士生一名,学硕一名,专硕一名,欢迎提前联系报考。


=============个人简介=============

王胜,于2021年9月加入武汉大学计算机学院,担任副教授、博导。其分别于2013年和2016年分别获南京航空航天大学信息安全专业本科学位和计算机技术硕士学位, 2019年获皇家墨尔本理工大学计算机博士学位,随后在美国纽约大学从事博士后工作。王博士长期从事空间数据库研究与应用,取得了多项创新成果,如大规模轨迹聚类和查询技术。自2017年以来作为第一作者,研究成果作为长文陆续发表在国际顶级会议及期刊上,如SIGMOD, PVLDB,ICDE,TKDE,SIGIR等CCF A类推荐会议及期刊。王博士同时担任多个国际期刊和会议的审稿人,包括VLDBJ, TKDE和TNNLS,曾两次获会议最佳论文奖,两次ACM travel grant并作为优秀学生代表受邀参加2017年于旧金山举办的图灵奖50周年庆典,和一次三分钟论文演讲比赛冠军。


教育背景

  • 2009.09~2013.06: 南京航空航天大学,信息安全,本科

  • 2013.09~2016.03: 南京航空航天大学,计算机技术,硕士

  • 2016.04~2019.08: 皇家墨尔本理工大学,数据库,博士


工作经验

2019~2021: 纽约大学,博士后


教授课程

  • 2020 Summer: Instructor, Machine Learning for Cities (CUSP-GX-5003), CUSP@NYU

  • 2020 Fall: Guest lecture on Clustering at Big Data Course of Prof. Juliana Freire.

  • 2020 Spring: Instructor, Machine Learning for Cities (CUSP-GX-5003-002), CUSP@NYU

Teaching at RMIT

  • 2018 Semester 2: Co-Lecturer, Big Data Processing (COSC2637), CSIT@RMIT.

  • 2018 Semester 1: Tutor, Big Data Management (COSC2636), Course Experience Survey, CSIT@RMIT.

  • 2017 Semester 2: Marking Assistant, Java Programming 1(COSC2135OUA), CSIT@RMIT.

  • 2017 Semester 1: Tutor, Big Data Infrastructure (COSC2636), Course Experience Survey, CSIT@RMIT.

  • 2016 Semester 2: Marking Assistant, Java Programming 1(COSC2135OUA), CSIT@RMIT.


发表论文

Full research papers

  1. Sheng Wang, Yuan Sun, Christopher Musco, Zhifeng Bao. Public Transport Planning: When Transit Network Connectivity Meets Commuting Demand.

    (CCF A) SIGMOD 2021. pp 1906-1919. Paper

  2. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Gao Cong. A Survey on Trajectory Data Management, Analytics, and Learning,

    ACM Computing Surveys. 54(2) 39:1-39:36. Paper

  3. Sheng Wang, Yuan Sun, Zhifeng Bao. On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection.

    (CCF A) PVLDB, 14(2): pp 163-175, 2021. Paper, code, Poster New

  4. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Xiaolin Qin. Fast Large-Scale Trajectory Clustering.

    (CCF A) PVLDB, 13(1): pp 29-42, 2019. Paper, code

  5. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Zizhe Xie, Qizhi Liu, Xiaolin Qin. Torch: A Search Engine for Trajectory Data.

    (CCF A) SIGIR 2018, pp 535-544, Ann Arbor Michigan, U.S.A. Paper, Slides, Code, System.

  6. Sheng Wang, Zhifeng Bao, Shixun Huang, and Rui Zhang. A Unified Processing Paradigm for Interactive Location-based Web Search.

    (CCF B) WSDM 2018, pp 601-609, Los Angeles, U.S.A. Paper

  7. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, and Gao Cong. Reverse k Nearest Neighbor Search over Trajectories.

    (CCF A) IEEE Transactions on Knowledge and Data Engineering (TKDE), 30(4): pp 757-771, 2018. Paper

  8. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, Mark Sanderson, and Xiaolin Qin. Answering Top-k Exemplar Trajectory Queries.

    (CCF A) ICDE 2017, pp 597-608, San Diego, U.S.A. Paper, Slides

  9. Sheng Wang,  Xiaolin Qin, Zhifeng Bao, and Bohan Li.  Tide-tree: a Self-tuning Indexing Scheme for Hybrid Storage System. World Wide Web Journal, 2017, 20 (5), 1017-1045.(CCF B).

  10. Munkh-Erdene Yadamjav, Sheng Wang, Zhifeng Bao, and Bang Zhang. Boosting Point-Based Trajectory Search with Quad-Tree. ADC 2017, pp 29-41, Brisbane, Australia. (Best Paper Award) Paper

  11. Sheng Wang, Xiaolin Qin, Yao Shen, Bohan Li, and Wenhao Shi . Research on Durable CSB+-Tree Indexing Technology. Journal of Frontiers of Computer Science and Technology, 2015, 9(2): 182-192.

  12. Shen Yao, Xiaolin Qin, Sheng Wang, and Ning Wang. An Energy Management Strategy on IaaS. Journal of Computational Information Systems, 2014, 10(17): 7369-7381.

  13. Shen Yao, Ping Lu, Xiaolin Qin, Yuming Qian, and Sheng Wang. "Efficient Query Algorithm of Coallocation-Parallel-Hash-Join in the Cloud Data Center." In International Conference on Cloud Computing and Security, 2015, pp. 306-320, Nanjing, China. (Best Paper Award)

  14. Wenhao Shi, Guohua Jiang, Xiaolin Qin, Sheng Wang. Access control model research for HDFS based on user trust value. Journal of Frontiers of Computer Science and Technology, 2016, 10(1):25-35.


Demo papers and extended abstract

  1. Sheng Wang, Yunzhuang Shen, Zhifeng Bao, Xiaolin Qin. Intelligent Traffic Analytics: From Monitoring to Controlling. ACM WSDM Demo 2019, Melbourne, Australia. (CCF B).

  2. Sheng Wang, Mingzhao Li, Yipeng Zhang, Zhifeng Bao, David Alexander Tedjopurnomoy, Xiaolin Qin. Trip Planning by an Integrated Search Paradigm. ACM SIGMOD 2018, pp 1673-1676, Demo, Houston, U.S.A. (CCF A).  Paper, Poster

  3. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, and Gao Cong. Reverse k Nearest Neighbor Search over Trajectories (Extended abstract). IEEE ICDE 2018, pp 1785-1786, Paris, France. (CCF A) Poster

  4. Sheng Wang, Zhifeng Bao, J. Shane Culpepper, Timos Sellis, and Mark Sanderson, Munkh-Erdene Yadamjav.  Interactive Trip Planning Using Activity Trajectories. ADCS 2016, pp 77-80, Caulfield, Australia. Paper


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