周曠(西北工業大學數學與統計學院教師)

周曠(西北工業大學數學與統計學院教師)

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周曠,男,博士,現任西北工業大學數學與統計學院教師。

基本介紹

  • 中文名:周曠
  • 學位/學歷:博士
  • 職業:教師
  • 專業方向:統計學習與機器學習、數據挖掘
  • 任職院校:西北工業大學
個人經歷,主講課程,研究方向,學術成果,

個人經歷

工作經歷 Work Experience
2016.8 ~ : 西北工業大學 理學院 助理教授
教育經歷 Education Experience
2013.9 ~ 2016.7: 法國雷恩第一大學 信息科學 博士
2010.9 ~ 2013.3: 西北工業大學 套用數學 碩士
2006.9 ~ 2010.7: 長安大學 信息與計算科學 學士
社會兼職 Social Appointments
ISIF會員,BFAS會員,中國工業與套用數學協會會員
Pattern Recognition,International Journal of Approximate Reasoning,Knowledge-Based Systems等國際期刊審稿人

主講課程

  1. 機率論與數理統計 (本科生公共課)
  2. 統計計算與軟體 (本科生專業課)
  3. 大數據處理 (本科生專業課)

研究方向

統計學習與機器學習
數據挖掘
不確定數據處理
信息融合

學術成果

主持的科研項目:
1. 國家自然科學基金青年項目, 動態不確定環境下置信社團挖掘及在信息流控制中的套用 (No. 61701409), 2018.01-2020.12
2. 陝西省自然科學基礎研究計畫,動態網路主動置信社團挖掘及信息傳播控制研究 (No.2018JQ6005), 2018.01-2019.12
3. 航空科學基金,海面目標多射頻感測器聯合推理識別技術,2018.10-2020.09,主持
4. 中航工業成都飛機設計研究所橫向課題,***回歸模型開發,2018.6-2019.6,主持
參與的科研項目:
1.國家自然科學基金重大項目 (課題),天空基大差異不確定環境下海洋目標信任識別 (No. 61790552),2018.01-2022.12
學術成果 Academic Achievements
期刊論文
  1. Kuang Zhou, Arnaud Martin, Quan Pan, and Zhun-ga Liu. SELP: Semi-supervised evidential label propagation algorithm for graph data clustering. International Journal of Approximate Reasoning, 92: 139-154, 2018.
  2. Kuang Zhou, Arnaud Martin, Quan Pan, and Zhun-ga Liu. ECMdd: Evidential c-medoids clustering with multiple prototypes.Pattern Recognition, 60:239–257, 2016.
  3. Kuang Zhou, Arnaud Martin, and Quan Pan.The Belief-Noisy-OR model applied to network reliability analysis.International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 24(06):937-960, 2016.
  4. Kuang Zhou, Arnaud Martin, Quan Pan, and Zhun-ga Liu. Median evidential c-means algorithm and its application to community detection.Knowledge-Based Systems, 74:69–88, 2015.
  5. Kuang Zhou, Arnaud Martin, and Quan Pan. A similarity-based community detection method with multiple prototype representation.Physica A: Statistical Mechanics and its Applications, 438:519–531, 2015.
會議論文
  1. Kuang Zhou, Quan Pan and Arnaud Martin. Evidential community detection based on density peaks. In 5th International Conference on Belief Functions, pages 269-277. Springer, 2018.
  2. Kuang Zhou, Arnaud Martin, and Quan Pan. Evidence combination for a large number of sources. In 20th International Conference on Information Fusion, pages 1–8. IEEE, 2017.
  3. Kuang Zhou, Arnaud Martin, Quan Pan, and Zhun-ga Liu. Evidential label propagation algorithm for graphs. In 19th International Conference on Information Fusion, pages 1316–1323. IEEE, 2016.
  4. 4. Kuang Zhou, Arnaud Martin, and Quan Pan. Semi-supervised evidential label propagation algorithm for graph data.In 4th International Conference on Belief Functions, pages 123–133. Springer, 2016. (Award: Best student paper)
  5. Kuang Zhou, Arnaud Martin, Quan Pan, and Zhun-ga Liu. Evidential relational clustering using medoids.In 18th International Conference on Information Fusion, pages 413–420. IEEE, 2015.
  6. Kuang Zhou, Arnaud Martin, and Quan Pan. Evidential community detection using structural and attribute information. Atelier Réseaux Sociaux et Intelligence Artificielle, France, 2015.
  7. Kuang Zhou, Arnaud Martin, and Quan Pan. Evidential communities for complex networks.In 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, France, pages 557–566. Springer, 2014.
  8. Kuang Zhou, Arnaud Martin, and Quan Pan. Evidential-EM algorithm applied to progressively censored observations.In 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pages 180–189. Springer, 2014.
  9. Salma Ben Dhaou, Kuang Zhou, Mouloud Kharoune, Arnaud Martin, and Boutheina Ben Yaghlane. The Advantage of Evidential Attributes in Social Networks. In 20th International Conference on Information Fusion, pages 991–998. IEEE, 2017.
  10. Wiem Maalel,Kuang Zhou, Arnaud Martin, and Zied Elouedi. Belief hierarchical clustering. In 3rdInternational Conference onBelief Functions, Oxford, UK , pages 68-76. Springer, 2014.
專著
  1. 劉準釓, 潘泉, Jean Dezert,周曠, 焦連猛. 不確定數據信任分類與融合. 北京: 科學出版社, 2016.

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