Xiao-Hua Zhou
Orcid: 0000-0001-7935-1222
According to our database1,
Xiao-Hua Zhou
authored at least 29 papers
between 1997 and 2024.
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Bibliography
2024
Debiasing the Conversion Rate Prediction Model in the Presence of Delayed Implicit Feedback.
Entropy, September, 2024
Integrating human learning and reinforcement learning: A novel approach to agent training.
Knowl. Based Syst., 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression.
J. Comput. Graph. Stat., 2023
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random.
CoRR, 2022
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR, 2022
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Kybernetes, 2020
Chinese clinical named entity recognition with variant neural structures based on BERT methods.
J. Biomed. Informatics, 2020
2016
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes.
ACM Trans. Intell. Syst. Technol., 2016
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network.
EURASIP J. Bioinform. Syst. Biol., 2016
2015
A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests.
Comput. Stat. Data Anal., 2015
2014
Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model.
Comput. Stat. Data Anal., 2014
2013
A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness.
J. Multivar. Anal., 2013
2008
A computer program for estimating the re-transformed mean in heteroscedastic two-part models.
Comput. Methods Programs Biomed., 2008
2006
Comput. Stat. Data Anal., 2006
1998
J. Am. Medical Informatics Assoc., 1998
1997
Research Paper: Using Computer-based Medical Records to Predict Mortality Risk for Inner-city Patients with Reactive Airways Disease.
J. Am. Medical Informatics Assoc., 1997
Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission.
J. Am. Medical Informatics Assoc., 1997