Variational learning of individual survival distributions. - Zidi Xiu; Chenyang Tao; Ricardo Henao (CHIL, 2020)

Supercharging Imbalanced Data Learning With Causal Representation Transfer. - Junya Chen; Zidi Xiu; Benjamin Alan Goldstein; Ricardo Henao; Lawrence Carin; Chenyang Tao (CoRR, 2020)

Variational Disentanglement for Rare Event Modeling. - Zidi Xiu; Chenyang Tao; Michael Gao; Connor Davis; Benjamin Alan Goldstein; Ricardo Henao (AAAI, 2021)

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer. - Junya Chen; Zidi Xiu; Benjamin Goldstein 001; Ricardo Henao; Lawrence Carin; Chenyang Tao (NeurIPS, 2021)

Variational Inference with Holder Bounds. - Junya Chen; Danni Lu; Zidi Xiu; Ke Bai 001; Lawrence Carin; Chenyang Tao (CoRR, 2021)

Improving Clinical Prediction Models with Statistical Representation Learning. - Zidi Xiu (2021)

DELPHI: Data for Evaluating LLMs' Performance in Handling Controversial Issues. - David Q. Sun; Artem Abzaliev; Hadas Kotek; Christopher Klein; Zidi Xiu; Jason D. Williams (EMNLP (Industry Track), 2023)

Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out. - Zidi Xiu; Kai-Chen Cheng; David Q. Sun; Jiannan Lu; Hadas Kotek; Yuhan Zhang; Paul McCarthy; Christopher Klein; Stephen Pulman; Jason D. Williams (PAKDD (2), 2023)

Protected group bias and stereotypes in Large Language Models. - Hadas Kotek; David Q. Sun; Zidi Xiu; Margit Bowler; Christopher Klein (CoRR, 2024)