谭发龙
姓名： |
谭发龙 |
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职称/职务： |
教授 |
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办公地点： |
湖南大学财院校区金融与统计学院 |
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E-mail： |
falongtanAThnu.edu.cn(防垃圾邮件设置AT为@) |
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一、 个人简介 |
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香港浸会大学哲学博士（统计学专业），现任湖南大学金融与统计学院教授、博士生导师。主要研究兴趣包括高维数据分析（高维假设检验、高维经验过程、降维方法）和人工智能基础理论（大语言模型的统计基础理论、迁移学习等）等。目前在TheAnnals of Statistics、Biometrika、Journal of Econometrics、Statistica Sinica、CVPR等统计学与人工智能领域的期刊和会议上发表学术论文10余篇，主持和参与国家自然科学基金、省部级项目10余项。 招收博士研究生的基本要求: 若对统计与人工智能的理论感兴趣，需要具有很好的数学与统计基础（熟练掌握数学分析、高等代数、概率论、数理统计、测度论、泛函分析和随机过程等）、以及较强的代码能力（熟练掌握R、或者python、或者matlab）； 若对统计与人工智能的应用感兴趣，需要具有很强的代码能力（熟练运用R、或者python、或者matlab）、以及较好的数学和统计基础（熟练掌握数学分析、高等代数、概率论、数理统计等）； 请对自身有准确的认识且有很强的Motivation。 |
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二、教育背景和工作经历 |
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1.教育背景 |
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2014.9-2017.11 |
香港浸会大学统计学专业博士，获哲学博士学位 |
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2005.9-2007.6 |
武汉大学基础数学专业硕士，获理学硕士学位 |
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2001.9-2005.6 |
武汉大学数学基地班数学与应用数学专业本科，获理学学士学位 |
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2.工作经历 |
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2024.1- |
湖南大学金融与统计学院教授、博士生导师 |
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2024.4-2024.6 |
香港理工大学应用数学系访问学者 |
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2020.1-2023.12 |
湖南大学金融与统计学院副教授、硕士生导师（2021年博士生导师） |
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2019.1-2019.12 |
香港浸会大学数学系访问学者 |
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2017.12-2019.12 |
湖南大学金融与统计学院，助理教授 |
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2007.7-2014.8 |
黄山学院，助教 |
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三、研究领域 |
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人工智能的数学与统计基础（大语言模型“涌现”现象的统计基础、迁移学习等）；高维假设检验；高维经验过程； 充分降维；因果推断与精准医疗；计量经济理论方法；统计与人工智能在医学、金融中的应用 medicine; Econometrics. |
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四、讲授课程 |
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《统计学习》、《高等数理统计》、《多元统计分析》等 |
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五、主要学术成果 |
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1.代表性论文（*通讯作者、†指导学生） |
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1.Falong Tan, Xuehu Zhu and Lixing Zhu﹡. (2018). A projection-based adaptive-to-model test for regressions.Statistica sinica, 28, 157-188. |
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2. Falong Tan and Lixing Zhu﹡. (2019). Adaptive-to-model checking for regressions with diverging number of predictors.The Annals of Statistics, 47, 1960- 1994. |
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3. Falong Tan, Xuejun Jiang﹡, Xu Guo and Lixing Zhu. (2021). Testing heteroscedasticity for regression models based on projections.Statistica sinica, 31, 625-646. |
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4. Falong Tan and Lixing Zhu﹡. (2022). Integrated conditional moment test and beyond: when the number of covariates is divergent.Biometrika, 109, 103-122. |
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4. Feng Xue†, Zi He†, Yuan Zhang, Chuanglong Xie, Zhengguo Li, Falong Tan﹡. (2024). Enhancing the Power of OOD Detection via Sample-Aware Model Selection.2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). |
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6.Falong Tan, Xu Guo, Lixing Zhu﹡. (2025). Weighted residual empirical processes, martingale transformations, and model specification tests for regressions with diverging number of parameters.Journal of Econometrics, 252, 106113. |
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2.研究项目 |
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主持 |
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国家自然科学基金面上项目，高维回归模型诊断及其相关问题研究，2021-2024，已结题 |
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六、学术兼职 |
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Journal of the Royal Statistical Society, Series B, Statistica Sinica, Statistics and Its Interface, Computational Statistics and Data Analysis, Statistical Analysis and Data Mining, Journal of Multivariate Analysis等期刊匿名审稿人 |
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八、学术交流 |
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2025.07. Joint Conference on Statistics and Data Science in China, Hangzhou,Invited presentation:Goodness-of-Fit Tests for High-Dimensional Regression Models via Projections. |
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2025.06. HKBU Conference in Statistics and Data Science in Honor of Professor Emeritus Lixing Zhu, Invited presentation: Asymptotic distribution-free tests for high dimensional regression models via projected empirical processes. |
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2025.06. ICSA-China-2025, Zhuhai, Invited presentation: Asymptotic distribution-free tests for high dimensional regression models via projected empirical processes. |
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2024.07. Joint Conference on Statistics and Data Science in China, Kunming,Invited presentation:Enhancing the Power of OOD Detection via Sample-Aware Model Selection. |
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2023.12. The 8th International Conference on Statistical Optimization and learning (ICSOL2023), Beijing Jiaotong University. Invated presentation:Weighted residual empirical processes, martingale transformations, and model checking for regressions with diverging number of parameters. |
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2023.08. The 6th International Conference on Econometrics and Statistics (EcoSta 2023), Waseda University, Tokyo, Japan. Invited presentation:Weighted residual empirical processes, martingale transformations, and model checking for regressions. |
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2023.07. Joint Conference on Statistics and Data Science in China, Beijing,Invited presentation:Weighted residual empirical processes, martingale transformations, and model checking for regressions. |
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2023.04.第12届全国概率统计年会，山东大学，青岛，Invited presentation:Weighted residual empirical processes, martingale transformations, and model checking for regressions. |
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2019.12. The 11th ICSA International Conference, Zhejiang University. Invited presentation:Integrated conditional moment test and beyond: when the number of covariates is divergent. |
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2017.06. The 1st International Conference on Econometrics and Statistics (EcoSta 2017), Hong Kong University of Science and Technology. |
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