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    Faculty & Research

    homepage  Faculty & Research  Faculty  Associate professor  Department of Statistics and Data Science

    Fang Guanhua

    Assistant Professor

    Statistics and Data Science

    Add: Guoshun Road Siyuan Building Room 236, Siyuan Building

    Tel: 25011074(TEL)

    E-mail: fanggh@fudan.edu.cn

    Research Field: Latent Variable Model, Heavy-Tailed Data, Reinforcement Learning, Variational Bayes Inference

    Website:

    Teacher information
    Achievements in scientific research
    Academic activities and community service

    Journal Papers


    1.Jinxin Guo, Xin Xu, Guanhua Fang, Zhiliang Ying, and Susu Zhang. 2025. Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach. British Journal of Mathematical and Statistical Psychology 78(3) 804–829.  



    2.Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. On robust clustering of event stream data. Statistica Sinica forthcoming 1-41.  



    3.Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. Learning under commission and omission event outliers. Scandinavian Journal of Statistics forthcoming 1-29.  



    4.Zhiheng Chen, Guanhua Fang, and Wen Yu. 2025. On non-asymptotic theory of recurrent neural networks in temporal point processes. Journal of Machine Learning Research 26 1-67.  



    5.Guanhua Fang, Sujay Bhatt, Ping Li, and Gennady Samorodnitsky. 2025. Catoni-type confidence sequences under infinite variance. Statistica Sinica forthcoming 1-40.  



    6.Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2025. On penalization in stochastic multi-armed bandits. IEEE Transactions on Information Theory 71(3) 1909-1925.  



    7.Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2025. Empirical risk minimization for losses without variance. Statistica Sinica forthcoming 1-42.  



    8.Xin Xu, Guanhua Fang, Jinxin Guo, Zhiliang Ying, and Susu Zhang. 2024. Diagnostic classification models for testlets: Methods and theory. Psychometrika 89 851–876.  



    9.Guanhua Fang, Ganggang Xu, Haochen Xu, Xuening Zhu, and Yongtao Guan. 2024. Group network hawkes process. Journal of the American Statistical Association 119(547) 2328-2344.  



    10.Guanhua Fang, Owen G. Ward, and Tian Zheng. 2024. Online estimation and community detection of network point processes for event streams. Statistics and Computing 34(1) 1-28.  


    Conference Proceedings


    1.Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, and Weiqiang Wang. 2024. On provable privacy vulnerabilities of graph representations. Advances in Neural Information Processing Systems 37 1-43.  



    2.Hanyu Peng, Guanhua Fang, and Ping Li. 2023. Copula for instance-wise feature selection and ranking. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023) 216 1651-1661.  



    3.Guanhua Fang and Ping Li. 2023. Regression with label permutation in generalized linear model. Proceedings of the 40th International Conference on Machine Learning 202 9716-9760.  



    4.Sujay Bhatt, Guanhua Fang, and Ping Li. 2023. Piecewise stationary bandits under risk criteria. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023 206 4313-4335.  



    5.Sujay Bhatt, Guanhua Fang, and Ping Li. 2022. Offline change detection under contamination. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence 180 191-201.  



    6.Sujay Bhatt, Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2022. Minimax m-estimation under adversarial corruption. Proceedings of the 39th International Conference on Machine Learning 162 1906-1924.  



    7.Sujay Bhatt, Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2022. Nearly optimal catoni’s m-estimator for infinite variance. Proceedings of the 39th International Conference on Machine Learning 162 1925-1944.  


    Research Projects

    2024.11—2026.12, Principal Investigator, Robust Learning in Temporal Point Process, Shanghai Educational Fund Chenguang Project

    2024.01—2026.12, Principal Investigator, Advanced Machine Learning with Catoni's Estimator, Theory, and Application, National Natural Science Foundation of China


    Journal Papers


    1.Jinxin Guo, Xin Xu, Guanhua Fang, Zhiliang Ying, and Susu Zhang. 2025. Jointly modeling responses and omitted items by a competing risk model: A survival analysis approach. British Journal of Mathematical and Statistical Psychology 78(3) 804–829.  



    2.Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. On robust clustering of event stream data. Statistica Sinica forthcoming 1-41.  



    3.Yuecheng Zhang, Guanhua Fang, and Wen Yu. 2025. Learning under commission and omission event outliers. Scandinavian Journal of Statistics forthcoming 1-29.  



    4.Zhiheng Chen, Guanhua Fang, and Wen Yu. 2025. On non-asymptotic theory of recurrent neural networks in temporal point processes. Journal of Machine Learning Research 26 1-67.  



    5.Guanhua Fang, Sujay Bhatt, Ping Li, and Gennady Samorodnitsky. 2025. Catoni-type confidence sequences under infinite variance. Statistica Sinica forthcoming 1-40.  



    6.Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2025. On penalization in stochastic multi-armed bandits. IEEE Transactions on Information Theory 71(3) 1909-1925.  



    7.Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2025. Empirical risk minimization for losses without variance. Statistica Sinica forthcoming 1-42.  



    8.Xin Xu, Guanhua Fang, Jinxin Guo, Zhiliang Ying, and Susu Zhang. 2024. Diagnostic classification models for testlets: Methods and theory. Psychometrika 89 851–876.  



    9.Guanhua Fang, Ganggang Xu, Haochen Xu, Xuening Zhu, and Yongtao Guan. 2024. Group network hawkes process. Journal of the American Statistical Association 119(547) 2328-2344.  



    10.Guanhua Fang, Owen G. Ward, and Tian Zheng. 2024. Online estimation and community detection of network point processes for event streams. Statistics and Computing 34(1) 1-28.  


    Conference Proceedings


    1.Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei Liu, and Weiqiang Wang. 2024. On provable privacy vulnerabilities of graph representations. Advances in Neural Information Processing Systems 37 1-43.  



    2.Hanyu Peng, Guanhua Fang, and Ping Li. 2023. Copula for instance-wise feature selection and ranking. Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023) 216 1651-1661.  



    3.Guanhua Fang and Ping Li. 2023. Regression with label permutation in generalized linear model. Proceedings of the 40th International Conference on Machine Learning 202 9716-9760.  



    4.Sujay Bhatt, Guanhua Fang, and Ping Li. 2023. Piecewise stationary bandits under risk criteria. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023 206 4313-4335.  



    5.Sujay Bhatt, Guanhua Fang, and Ping Li. 2022. Offline change detection under contamination. Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence 180 191-201.  



    6.Sujay Bhatt, Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2022. Minimax m-estimation under adversarial corruption. Proceedings of the 39th International Conference on Machine Learning 162 1906-1924.  



    7.Sujay Bhatt, Guanhua Fang, Ping Li, and Gennady Samorodnitsky. 2022. Nearly optimal catoni’s m-estimator for infinite variance. Proceedings of the 39th International Conference on Machine Learning 162 1925-1944.  


    Research Projects

    2024.11—2026.12, Principal Investigator, Robust Learning in Temporal Point Process, Shanghai Educational Fund Chenguang Project

    2024.01—2026.12, Principal Investigator, Advanced Machine Learning with Catoni's Estimator, Theory, and Application, National Natural Science Foundation of China