| Analysis of ranking data PLH Yu, J Gu, H Xu Wiley Interdisciplinary Reviews: Computational Statistics 11 (6), e1483, 2019 | 25 | 2019 |
| Bayesian SIR model with change points with application to the Omicron wave in Singapore J Gu, G Yin Scientific Reports 12 (1), 20864, 2022 | 5 | 2022 |
| Second-order group knockoffs with applications to GWAS BB Chu, J Gu, Z Chen, T Morrison, E Candes, Z He, C Sabatti arXiv preprint arXiv:2310.15069, 2023 | 3 | 2023 |
| Reconstructing the Kaplan–Meier Estimator as an M-estimator J Gu, Y Fan, G Yin The American Statistician 76 (1), 37-43, 2022 | 2 | 2022 |
| Crystallization Learning with the Delaunay Triangulation J Gu, G Yin International Conference on Machine Learning, 3854-3863, 2021 | 2 | 2021 |
| Bayesian Knockoff Filter Using Gibbs Sampler J Gu, G Yin arXiv preprint arXiv:2102.05223, 2021 | 2 | 2021 |
| Fast algorithm for generalized multinomial models with ranking data J Gu, G Yin International Conference on Machine Learning, 2445-2453, 2019 | 2 | 2019 |
| Robust inference with GhostKnockoffs in genome-wide association studies X Qi, ME Belloy, J Gu, X Liu, H Tang, Z He arXiv preprint arXiv:2310.04030, 2023 | 1 | 2023 |
| Social order statistics models for ranking data with analysis of preferences in social networks J Gu, PLH Yu The Annals of Applied Statistics 17 (1), 89-107, 2023 | 1 | 2023 |
| Delaunay Weighted Two-sample Test for High-dimensional Data by Incorporating Geometric Information J Gu, R Tan, G Yin arXiv preprint arXiv:2404.03198, 2024 | | 2024 |
| Beyond guilty by association at scale: searching for causal variants on the basis of genome-wide summary statistics Z He, B Chu, J Yang, J Gu, Z Chen, L Liu, T Morrison, ME Belloy, X Qi, ... bioRxiv, 2024.02. 28.582621, 2024 | | 2024 |
| Controlled Variable Selection from Summary Statistics Only? A Solution via GhostKnockoffs and Penalized Regression Z Chen, Z He, BB Chu, J Gu, T Morrison, C Sabatti, E Candès arXiv preprint arXiv:2402.12724, 2024 | | 2024 |
| Jiaqi Gu and Guosheng Yin’s contribution to the Discussion of ‘Martingale Posterior Distributions’ by Fong, Holmes and Walker J Gu, G Yin Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | | 2023 |
| Summary Statistics Knockoffs Inference with Family-wise Error Rate Control CX Yu, J Gu, Z Chen, Z He arXiv preprint arXiv:2310.09493, 2023 | | 2023 |
| Sparse concordance‐based ordinal classification Y Fan, J Gu, G Yin Scandinavian Journal of Statistics 50 (3), 934-961, 2023 | | 2023 |
| 3D-Polishing for Triangular Mesh Compression of Point Cloud Data J Gu, G Yin Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | | 2023 |
| Bayesian Log-Rank Test J Gu, Y Zhang, G Yin The American Statistician 77 (3), 292-300, 2023 | | 2023 |
| Omnibus test for restricted mean survival time based on influence function J Gu, Y Fan, G Yin Statistical Methods in Medical Research 32 (6), 1082-1099, 2023 | | 2023 |
| Triangular Concordance Learning of Networks J Gu, G Yin Journal of Computational and Graphical Statistics 32 (2), 434-447, 2023 | | 2023 |
| Joint latent space models for ranking data and social network J Gu, PLH Yu Statistics and Computing 32 (3), 51, 2022 | | 2022 |
