Research
Publications
Chu, B., Gu, J., Chen, Z., Morrison, T., Candès, E., He, Z. and Sabatti, C. (2024). Second-order group knockoffs with applications to GWAS. Bioinformatics. btae580.
Gu, J. and Yin, G. (2024) Unit Information Dirichlet Process Prior. Biometrics. Volume 80(3), ujae091.
Yu, C. X.*, Gu, J.*, Chen, Z.* and He, Z. (2024) Summary Statistics Knockoffs Inference with Family-wise Error Rate Control. Biometrics. Volume 80(3), ujae082.
*: Equal contribution
Fan, Y., Gu, J. and Yin, G. (2023) Sparse Concordance-based Ordinal Classification. Scandinavian Journal of Statistics. Volume 50(3), 934–961.
Gu, J. and Yin, G. (2023) 3D-Polishing for Triangular Mesh Compression of Point Cloud Data. Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’23). Pages 557–566.
Gu, J., Zhang, Y. and Yin, G. (2023) Bayesian Log-rank Test. The American Statistician. Volume 77(3), 292-300.
Gu, J., Fan, Y. and Yin, G. (2023) Omnibus Test for Restricted Mean Survival Time Based on Influence Function. Statistical Methods in Medical Research. Volume 32(6), 1082-1099.
Gu, J. and Yin, G. (2023) Triangular Concordance Learning of Networks. Journal of Computational and Graphical Statistics. Volume 32(2), 434-447.
Gu, J. and Yu, P.L.H. (2023) Social Order Statistics Models for Ranking Data with Analysis of Preferences in Social Networks. Annals of Applied Statistics. Volume 17(1), 89-107.
Gu, J. and Yin, G. (2022) Bayesian SIR model with change points with application to the Omicron wave in Singapore. Scientific Reports. Volume 12, 20864.
Gu, J. and Yu, P.L.H. (2022) Joint Latent Space Models for Ranking Data and Social Network. Statistics and Computing. Volume 32(3), 51.
Gu, J., Fan, Y. and Yin, G. (2022) Reconstructing the Kaplan--Meier Estimator as an M-estimator. The American Statistician. Volume 76(1), 37-43.
Gu, J. and Yin, G. (2021) Crystallization Learning with the Delaunay Triangulation. Proceedings of the 38th International Conference on Machine Learning. Volume 139, 3854-3863.
Gu, J. and Yin, G. (2019) Fast Algorithm for Generalized Multinomial Models with Ranking Data. Proceedings of the 36th International Conference on Machine Learning. Volume 97, 2445-2453.
Yu, P.L.H., Gu, J. and Xu, H. (2019) Analysis of Ranking Data. Wiley Interdisciplinary Reviews: Computational Statistics. Volume 11(6), e1483.
Gu, J. and Yin, G. (2023) Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker. Journal of the Royal Statistical Society Series B (Statistical Methodology). Volume 85(5), 1403–1404.
Gu, J. (2020) Discussion of “Unbiased Markov Chain Monte Carlo Methods with Couplings.". Journal of the Royal Statistical Society Series B (Statistical Methodology). Volume 82(3), 585-586.
Conference Presentations
Jun 2024 Personalized Feature Selection for Precision Medicine by Incorporating Knockoffs into Modern Machine Learning EAC-ISBA 2024 Hong Kong, China
December 2023 A Powerful and Precise Filter of Feature Selection using Group Knockoffs CMStatistics 2023 Berlin, Germany
November 2023 Reproducible causal genetic variants discovery of Alzheimer's disease via knockoffs ASHG 2023 Washington D.C.
August 2023 Triangular Concordance Learning of Networks COMPSTAT 2023 Birkbeck, UK.
August 2023 3D-Polishing for Triangular Mesh Compression of Point Cloud Data KDD 2023 Long Beach, CA.
August 2023 Joint Latent Space Models for Ranking Data and Social Network EcoSta 2023 Tokyo, Japan.
July 2021 Crystallization Learning with the Delaunay Triangulation ICML 2021 Virtual.
June 2019 Fast Algorithm for Generalized Multinomial Models with Ranking Data ICML 2019 Long Beach, CA.