Education

• B.S. in Mathematics, Sichuan University, June 2018
• Ph.D. in Statistics, The Chinese University of Hong Kong, March 2022
  • Supervisor: Professor Yuanyuan Lin

Work experience

• The Hong Kong Polytechnic University

  • Assistant Professor (2023/09 – present)

  • Research Assistant Professor (2022/04 – 2023/08)

Publications

(Preprint)An Error Analysis of Deep Density-Ratio Estimation with Bregman Divergence

Siming Zheng, Guohao Shen, Yuling Jiao, Yuanyuan Lin* and Jian Huang*. (2022). "An Error Analysis of Deep Density-Ratio Estimation with Bregman Divergence. " Submitted.

(Preprint)Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction Permalink

Wenlu Tang ^# , Guohao Shen ^# , Yuanyuan Lin* and Jian Huang*. (2022). "Nonparametric Quantile Regression: Non-Crossing Constraints and Conformal Prediction. " Submitted.

(Preprint)Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition

Guohao Shen ^# , Yuling Jiao ^# , Yuanyuan Lin*, Joel Horowitz and Jian Huang*. (2022). "Deep Quantile Regression: Mitigating the Curse of Dimensionality Through Composition. " Submitted.

(Preprint)Robust Nonparametric Regression with Deep Neural Networks Permalink

Guohao Shen ^# , Yuling Jiao ^# , Yuanyuan Lin* and Jian Huang*. (2022). "Robust Nonparametric Regression with Deep Neural Networks. " .

Efficient fused learning for distributed imbalanced data Permalink

Jie Zhou, Guohao Shen, Chen Xuan and Yuanyuan Lin. (2020). "Efficient fused learning for distributed imbalanced data. " Communications in Statistics - Theory and Methods,51(5),1306-1317.

Robust Postselection Inference of High-dimensional Mean Regression with Heavy-tailed Asymmetric or Heteroskedastic Errors Permalink

Dongxiao Han, Jian Huang, Yuanyuan Lin* and Guohao Shen (2021). " Robust Postselection Inference of High-dimensional Mean Regression with Heavy-tailed Asymmetric or Heteroskedastic Errors " Journal of Econometrics,230(2),416-431.

Linearized Maximum Rank Correlation Estimation Permalink

Guohao Shen, Kani Chen, Jian Huang and Yuanyuan Lin*. (2022). "Linearized Maximum Rank Correlation Estimation. " Biometrika, 110(1), 187–203.

Approximation with Deep Convolutional Networks in Sobolev Space: with Applications to Classification Permalink

Guohao Shen ^# , Yuling Jiao ^# , Yuanyuan Lin* and Jian Huang*. (2022). "Approximation with Deep Convolutional Networks in Sobolev Space: with Applications to Classification. " Advances in Neural Information Processing Systems 35 (NeurIPS 2022). "Oral" paper .

Nonparametric inference on smoothed quantile regression process Permalink

Meiling Hao, Yuanyuan Lin, Guohao Shen and Wen Su*. (2022). "Nonparametric inference on smoothed quantile regression process. " Computational Statistics & Data Analysis.179, 107645.

Deep Nonparametric Regression on Approximate Manifolds: Non-Asymptotic Error Bounds with Polynomial Prefactors Permalink

Yuling Jiao ^# , Guohao Shen ^# , Yuanyuan Lin* and Jian Huang*. (2023). " Deep nonparametric regression on approximate manifolds: Nonasymptotic error bounds with polynomial prefactors. " Annals of Statistics. 51(2): 691-716.

(Preprint) Differentiable Neural Networks with RePU activation: with applications to score estimation and isotonic regression. Permalink

Guohao Shen , Yuling Jiao, Yuanyuan Lin, and Jian Huang*. (2023). "Differentiable Neural Networks with RePU activation: with applications to score estimation and isotonic regression. " Under review.

(Preprint) Deep Neural Newsvendor Permalink

Jinhui Han, Ming Hu and Guohao Shen. (2024). Deep Neural Newsvendor. " Major Revision.

Nonparametric Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks Permalink

Guohao Shen ^# , Yuling Jiao ^# , Yuanyuan Lin*, Joel Horowitz and Jian Huang*. (2024). " Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks. " Journal of Machine Learning Research. 25(88):1−75.

Exploring the Complexity of Deep Neural Networks through Functional Equivalence Permalink

Guohao Shen*. (2024). " Exploring the Complexity of Deep Neural Networks through Functional Equivalence. " Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

Teaching

@The Chinese Univeristy of Hong Kong

@The Hong Kong Polytechnic University

Research Grants

• RGC-GRF 15305523, awarded by the Hong Kong Research Grants Council, 2023-2025, Principal Investigator. Amount: HKD 661,347.
  • Title: On differentiable neural networks: generalization, approximation, and applications to nonparametric gradient estimation

Honors

• 2024 Junior Researcher Award Honorable Mention of ICSA China Conference
• 2024 John Aitchison Prize in Statistics
• 2023 Itarle Scholarship
• 2017 National Scholarship, China
• 2016 1st Prize in The Chinese Mathematics Competitions
• 2015 1st Prize in The Chinese Mathematics Competitions

Service

Reviewer for

• Journal of the Royal Statistical Society: Series B
• Journal of the American Statistical Association
• Journal of Machine Learning Research
• Statistica Sinica
• Statistics and Computing
• Journal of Multivariate Analysis
• Computational Statistics & Data Analysis
• International Conference on Learning Representations

Invited Talks

• 13th National Conference on Probability and Statistics, November 2024; Xiamen, China
• Math Machine Learning Seminar(Online), MPI MIS + UCLA, August 2024;
• JCSDS 2024, July 2024; Kunming, China
• ICSA China Conference 2024; Wuhan, China
• 2nd China Youth Statistician Forum, April 2024; Xuzhou, China
• School of STAT, ECNU, April 2024; Shanghai, China
• IMS-APRM 2024, January 2024; Melbourn, Australia
• Symposium on Data Science and Risk Analytics 2023 cum CUHK 60th Anniversary Alumni Homecoming, December 2023; Hong Kong SAR, China
• 9th National Forum for Young Statisticians at SUFE, December 2023; Shanghai, China
• EcoSta 2023, August 2023; Tokyo, Japan
• JCSDS 2023, July 2023; Beijing, China
• ICSA International, July 2023; Hong Kong SAR, China
• ICSA China, June 2023; Chengdu, China