王軍輝(香港中文大學統計學系教授、系主任)

王軍輝，美國明尼蘇達大學統計學博士，現任香港中文大學統計學系教授、系主任。本科畢業於北京大學，研究方向涵蓋因果推理、網路建模、統計機器學習及非結構化數據分析，相關成果發表於《Journal of American Statistical Association》《Biometrika》等期刊及NeurIPS等國際會議。

歷任美國哥倫比亞大學、伊利諾伊大學芝加哥分校教職，後加入香港城市大學任教授、系主任，2016年後轉任香港中文大學。其研究提出動態網路結構變化檢測方法、鏈圖模型等理論框架，套用於生物醫學、經濟金融等領域數據分析。曾發起粵港澳高校統計與數據科學聯盟，推動跨區域學術合作與人才培養，並參與多所高校的科研交流與聯合培養項目。

基本介紹

• 中文名：王軍輝
• 外文名：WANG, Junhui
• 畢業院校：明尼蘇達大學
• 職業：教育科研工作者

人物簡介

王軍輝本科畢業於北京大學，研究生畢業於美國明尼蘇達大學並獲得統計學博士學位。曾任香港城市大學數據科學學院教授。在加入香港城市大學之前，曾任教於美國哥倫比亞大學和伊利諾伊大學芝加哥分校。

現任香港中文大學統計學系教授、系主任。

主要成就

王軍輝的研究方向包括統計機器學習及其在生物醫學、經濟、金融和信息技術上的套用。他的研究成果廣泛發表於Journal of American Statistical Association、Biometrika、Journal of Machine Learning Research和NeurIPS等統計及機器學習的頂級期刊和會議。

代表性論文：

1. Zhao, R., Zhang, H. and Wang, J. (2024+). Identifiability and consistent estimation for Gaussian chain graph models. Journal of the American Statistical Association, in press.
2. Zhang, J., Wang, J. and Wang, X. (2024+). Consistent community detection in inter-layer dependent multi-layer networks. Journal of the American Statistical Association, in press.
3. Xu, Q., Yuan, Y., Wang, J. and Qu, A. (2024). Crowdsourcing utilizing subgroup structure of latent factor modeling. Journal of the American Statistical Association, 119, 1192-1204.
4. Zhen, Y. and Wang, J. (2023). Community detection in general hypergraph via graph embedding. Journal of the American Statistical Association, 118, 1620-1629.
5. Zhang, J. , He, X. and Wang, J. (2022). Directed community detection with network embedding. Journal of the American Statistical Association, 117, 1809-1819.
6. Zhao, R., He, X. and Wang, J. (2022). Learning linear non-Gaussian directed acyclic graph with diverging number of nodes. Journal of Machine Learning Research, 23(269):1-34.
7. Feng, L. and Wang, J. (2022). Projected robust PCA with application to smooth image recovery. Journal of Machine Learning Research, 23(249):1-41.
8. Dai, B. , Shen, X. and Wang, J. (2022). Embedding learning. Journal of the American Statistical Association, 117, 307-319.
9. Dai, B. , Shen, X. , Wang, J. and Qu, A. (2021). Scalable collaborative ranking for personalized prediction. Journal of the American Statistical Association, 116, 1215-1223.
10. Dai, B. , Wang, J. , Shen, X. and Qu, A. (2019). Smooth neighborhood recommender systems. Journal of Machine Learning Research, 20(16): 1-24.
11. Bi, X. , Qu, A. , Wang, J. and Shen, X. (2017). A group-specific collaborative recommender. Journal of the American Statistical Association, 112, 1344-1353.
12. Wang, J. , Shen, X. , Sun, Y. and Qu, A. (2017). Automatic summarization by existing and novel tags. Biometrika, 104, 273-290.
13. Wang, J. , Shen, X. , Sun, Y. and Qu, A. (2016). Classification with unstructured predictors and an application to sentiment analysis. Journal of the American Statistical Association, 111, 1242-1253.
14. Yang, L. , Lv, S. and Wang, J. (2016). Model-free variable selection in reproducing kernel Hilbert space. Journal of Machine Learning Research, 17(78): 1-24.
15. Sun, W. , Wang, J. and Fang, Y. (2013). Consistent selection of tuning parameters in high-dimensional penalized regression. Journal of Machine Learning Research, 14, 3419-3440.
16. Wang, J. (2010). Consistent selection of the number of clusters via cross validation. Biometrika, 97, 893-904.
17. Wang, J. , Shen, X. and Pan, W. (2009). On large margin hierarchical classification with multiple paths. Journal of the American Statistical Association, 104, 1213-1223.
18. Wang, J. , Shen, X. and Pan, W. (2008). On efficient large margin semisupervised learning: methodology and theory. Journal of Machine Learning Research, 10, 719-742.
19. Wang, J. , Shen, X. and Liu, Y. (2008). Probability estimation for large margin classifiers. Biometrika, 95, 149-167.
20. Wang, J. and Shen, X. (2007). Large margin semi-supervised learning. Journal of Machine Learning Research, 8, 1867-1891.

社會任職

時間	擔任職務
2018年-2024年	Annals of the Institute of Statistical Mathematics副主編
2017年-	Statistics and Its Interface副主編
2020年-	Statistica Sinica副主編
2022年	香港研究資助局自然科學學科小組（合作研究計畫）委員
2023年-	Annals of Applied Statistics副主編
2023年-	Journal of the American Statistical Association-T&M副主編
2024年-	Journal of Computational and Graphical Statistics副主編