| On the identifiability of diagnostic classification models G Fang, J Liu, Z Ying Psychometrika 84, 19-40, 2019 | 50 | 2019 |
| Latent class analysis of recurrent events in problem-solving items H Xu, G Fang, Y Chen, J Liu, Z Ying Applied Psychological Measurement 42 (6), 478-498, 2018 | 36 | 2018 |
| A latent topic model with Markov transition for process data H Xu, G Fang, Z Ying British Journal of Mathematical and Statistical Psychology 73 (3), 474-505, 2020 | 21 | 2020 |
| Identifiability of bifactor models G Fang, J Guo, X Xu, Z Ying, S Zhang Statistica Sinica 31, 2309-2330, 2021 | 14 | 2021 |
| Nearly optimal catoni’s m-estimator for infinite variance S Bhatt, G Fang, P Li, G Samorodnitsky International Conference on Machine Learning, 1925-1944, 2022 | 13 | 2022 |
| Group network Hawkes process G Fang, G Xu, H Xu, X Zhu, Y Guan Journal of the American Statistical Association, 1-17, 2023 | 8 | 2023 |
| Regression with label permutation in generalized linear model G Fang, P Li International Conference on Machine Learning, 9716-9760, 2023 | 6 | 2023 |
| Offline change detection under contamination S Bhatt, G Fang, P Li Uncertainty in Artificial Intelligence, 191-201, 2022 | 6 | 2022 |
| On estimation in latent variable models G Fang, P Li International Conference on Machine Learning, 3100-3110, 2021 | 5 | 2021 |
| On variational inference in biclustering models G Fang, P Li International Conference on Machine Learning, 3111-3121, 2021 | 5 | 2021 |
| Network group hawkes process model H Xu, G Fang, X Zhu arXiv preprint arXiv:2002.08521, 2020 | 5 | 2020 |
| A note on sparse generalized eigenvalue problem Y Cai, G Fang, P Li Advances in Neural Information Processing Systems 34, 23036-23048, 2021 | 4 | 2021 |
| Latent theme dictionary model for finding co-occurrent patterns in process data G Fang, Z Ying psychometrika 85, 775-811, 2020 | 4 | 2020 |
| Minimax m-estimation under adversarial contamination S Bhatt, G Fang, P Li, G Samorodnitsky International Conference on Machine Learning, 1906-1924, 2022 | 3 | 2022 |
| Efficient greedy coordinate descent via variable partitioning H Fang, G Fang, T Yu, P Li Uncertainty in Artificial Intelligence, 547-557, 2021 | 3 | 2021 |
| Catoni-style confidence sequences under infinite variance S Bhatt, G Fang, P Li, G Samorodnitsky arXiv preprint arXiv:2208.03185, 2022 | 2 | 2022 |
| Online community detection for event streams on networks G Fang, OG Ward, T Zheng arXiv preprint arXiv:2009.01742, 2020 | 2 | 2020 |
| Diagnostic Classification Models for Testlets: Methods and Theory X Xu, G Fang, J Guo, Z Ying, S Zhang Psychometrika, 1-26, 2024 | 1 | 2024 |
| Online estimation and community detection of network point processes for event streams G Fang, OG Ward, T Zheng Statistics and Computing 34 (1), 35, 2024 | 1 | 2024 |
| Empirical Risk Minimization for Losses without Variance G Fang, P Li, G Samorodnitsky arXiv preprint arXiv:2309.03818, 2023 | 1 | 2023 |
