Zhang, Quan, Yanxun Xu, Mei-Cheng Wang, and Mingyuan Zhou. "Weibull Racing Survival Analysis with Competing Events, Left Truncation, and Time-Varying Covariates." To appear in the Journal of Machine Learning Research.
Zhang, Quan, and Mingyuan Zhou. "Permuted and augmented stick-breaking Bayesian multinomial regression." The Journal of Machine Learning Research 18.1 (2017): 7479-7511.
Zhang, Quan, Youssef Toubouti, and Bradley P. Carlin. "Design and analysis of Bayesian adaptive crossover trials for evaluating contact lens safety and efficacy." Statistical methods in medical research 26.3 (2017): 1216-1236.
Liu, Tianci, Tong Yang, Quan Zhang, and Qi Lei. "Optimization for Amortized Inverse Problems." International Conference on Machine Learning. PMLR, 2023.
Zhang, Yuxin, Yalei Du, Yuanyuan Zhang, and Quan Zhang. "Moral Hazard and Transparency in Peer-to-Peer Auto Insurance with Telematics." To appear in ICIS 2023 Proceedings.
Zhang, Quan and Liu, Yixuan, "Understanding Patient Journeys with Telehealth: A Poisson-Factor-Marked Hawkes Process" (2022). ICIS 2022 Proceedings. 21. https://aisel.aisnet.org/icis2022/is_health/is_health/21
In proceedingsPentland, Brian T.,
Inkyu Kim, Quan Zhang, Julie Ryan Wolf. "Effects of Concurrency in Complex Service Organizations: Evidence from Electronic Health Records." In International Conference on Business Process Management
, pp. 149-160. Cham: Springer International Publishing, 2022.
Tianci Liu, Quan Zhang, and Qi Lei. "PANOM: Automatic Hyper-parameter Tuning for Inverse Problems." NeurIPS 2021 Workshop on Deep Learning and Inverse Problems
Zhang, Quan, and Mingyuan Zhou. "Nonparametric Bayesian Lomax delegate racing for survival analysis with competing risks." Advances in Neural Information Processing Systems 31 (2018): 5002-5013.