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Zidi Xiu
Zidi Xiu
Apple; Duke University; Fudan University
Verified email at duke.edu
Title
Cited by
Cited by
Year
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
172020
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
12*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
92021
Variational inference with holder bounds
J Chen, D Lu, Z Xiu, K Bai, L Carin, C Tao
arXiv preprint arXiv:2111.02947, 2021
62021
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
32023
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
22015
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
2024
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
Variational Disentanglement for Rare Event Modeling (preprint)
Z Xiu, C Tao, M Gao, C Davis, BA Goldstein, R Henao
2020
Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer (Supplementary Material)
J Chen, Z Xiu, B Goldstein, R Henao, L Carin, C Tao
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Articles 1–11