| Variational learning of individual survival distributions Z Xiu, C Tao, BA Goldstein, R Henao Proceedings of the ACM Conference on Health, Inference, and Learning, 10-18, 2020 | 19 | 2020 |
| Supercharging Imbalanced Data Learning With Energy-based Causal Representation Transfer Z Xiu, J Chen, B Goldstein, R Henao, L Carin, C Tao arXiv preprint arXiv:2011.12454, 2020 | 14* | 2020 |
| Variational disentanglement for rare event modeling Z Xiu, C Tao, M Gao, C Davis, BA Goldstein, R Henao Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10469 …, 2021 | 12 | 2021 |
| Variational inference with holder bounds J Chen, D Lu, Z Xiu, K Bai, L Carin, C Tao arXiv preprint arXiv:2111.02947, 2021 | 6 | 2021 |
| DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues DQ Sun, A Abzaliev, H Kotek, Z Xiu, C Klein, JD Williams arXiv preprint arXiv:2310.18130, 2023 | 3 | 2023 |
| Protected group bias and stereotypes in Large Language Models H Kotek, DQ Sun, Z Xiu, M Bowler, C Klein arXiv preprint arXiv:2403.14727, 2024 | 2 | 2024 |
| MAFsnp: A multi-sample accurate and flexible SNP caller using next-generation sequencing data J Hu, T Li, Z Xiu, H Zhang Plos one 10 (8), e0135332, 2015 | 2 | 2015 |
| Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out Z Xiu, KC Cheng, DQ Sun, J Lu, H Kotek, Y Zhang, P McCarthy, C Klein, ... Pacific-Asia Conference on Knowledge Discovery and Data Mining, 145-158, 2023 | | 2023 |
| Improving Clinical Prediction Models with Statistical Representation Learning Z Xiu Duke University, 2021 | | 2021 |
| Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer (Supplementary Material) J Chen, Z Xiu, B Goldstein, R Henao, L Carin, C Tao | | |
Chenyang TaoApplied Scientist, Amazon; Former Senior Research Associate, Duke University (Statistics and ECE)Verified email at duke.edu
