Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission. - J. Marc Overhage; William M. Tierney; Xiao-Hua Zhou; Clement J. McDonald (J. Am. Medical Informatics Assoc., 1997)

Research Paper: Using Computer-based Medical Records to Predict Mortality Risk for Inner-city Patients with Reactive Airways Disease. - William M. Tierney; Michael D. Murray; Denise L. Gaskins; Xiao-Hua Zhou (J. Am. Medical Informatics Assoc., 1997)

Research Paper: Effects of Computer-based Prescribing on Pharmacist Work Patterns. - Michael D. Murray; Bonnie Loos; Wanzhu Tu; George J. Eckert; Xiao-Hua Zhou; William M. Tierney (J. Am. Medical Informatics Assoc., 1998)

Semi-parametric single-index two-part regression models. - Xiao-Hua Zhou; Hua Liang (Comput. Stat. Data Anal., 2006)

A computer program for estimating the re-transformed mean in heteroscedastic two-part models. - Xiao-Hua Zhou; Hao Cheng (Comput. Methods Programs Biomed., 2008)

A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness. - Baojiang Chen; Xiao-Hua Zhou (J. Multivar. Anal., 2013)

Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model. - Peng Lai; Qihua Wang; Xiao-Hua Zhou (Comput. Stat. Data Anal., 2014)

A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests. - Wei Liu; Bo Zhang; Zhiwei Zhang; Baojiang Chen; Xiao-Hua Zhou (Comput. Stat. Data Anal., 2015)

Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. - Yan Jin; Yi Su; Xiao-Hua Zhou; Shuai Huang 001 (EURASIP J. Bioinform. Syst. Biol., 2016)

Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes. - Hua Chen; Peng Ding; Zhi Geng; Xiao-Hua Zhou (ACM Trans. Intell. Syst. Technol., 2016)

Chinese clinical named entity recognition with variant neural structures based on BERT methods. - Xiangyang Li; Huan Zhang; Xiao-Hua Zhou (J. Biomed. Informatics, 2020)

Governance role of media information's uncertainty in IPO market-oriented pricing. - Fei Zhang; Xiao-Hua Zhou; Jiafu Su; Sang-Bing Tsai; Yu-Ming Zhai (Kybernetes, 2020)

Prevent the Language Model from being Overconfident in Neural Machine Translation. - Mengqi Miao; Fandong Meng; Yijin Liu; Xiao-Hua Zhou; Jie Zhou 016 (ACL/IJCNLP (1), 2021)

Convolutional Transformer Networks for Epileptic Seizure Detection. - Nan Ke; Tong Lin 002; Zhouchen Lin; Xiao-Hua Zhou; Taoyun Ji (CIKM, 2022)

On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. - Peng Wu 012; Haoxuan Li 001; Yuhao Deng; Wenjie Hu; Quanyu Dai; Zhenhua Dong; Jie Sun 007; Rui Zhang; Xiao-Hua Zhou (IJCAI, 2022)

A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. - Quanyu Dai; Haoxuan Li 001; Peng Wu 012; Zhenhua Dong; Xiao-Hua Zhou; Rui Zhang 079; Rui Zhang 003; Jie Sun 007 (KDD, 2022)

Causal Analysis Framework for Recommendation. - Peng Wu 012; Haoxuan Li 001; Yuhao Deng; Wenjie Hu; Quanyu Dai; Zhenhua Dong; Jie Sun 007; Rui Zhang; Xiao-Hua Zhou (CoRR, 2022)

A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. - Yan Lyu; Sunhao Dai; Peng Wu 012; Quanyu Dai; Yuhao Deng; Wenjie Hu; Zhenhua Dong; Jun Xu 001; Shengyu Zhu 001; Xiao-Hua Zhou (CoRR, 2022)

Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random. - Peng Wu 012; Haoxuan Li 001; Yan Lyu; Xiao-Hua Zhou (CoRR, 2022)

Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. - Haoxuan Li 001; Chunyuan Zheng 001; Xiao-Hua Zhou; Peng Wu 012 (CoRR, 2022)

Multiple Robust Learning for Recommendation. - Haoxuan Li 001; Quanyu Dai; Yuru Li; Yan Lyu; Zhenhua Dong; Xiao-Hua Zhou; Peng Wu 012 (AAAI, 2023)

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. - Haoxuan Li 001; Taojun Hu; Zetong Xiong; Chunyuan Zheng 001; Fuli Feng; Xiangnan He 001; Xiao-Hua Zhou (RecSys, 2023)

An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression. - Chong You; John T. Ormerod; Xiangyang Li; Cheng Heng Pang; Xiao-Hua Zhou (J. Comput. Graph. Stat., 2023)

Phased Instruction Fine-Tuning for Large Language Models. - Wei Pang; Chuan Zhou 013; Xiao-Hua Zhou; Xiaojie Wang (ACL (Findings), 2024)

UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation. - Chunyuan Zheng 001; Taojun Hu; Chuan Zhou 013; Xiao-Hua Zhou (ICDM (Workshops), 2024)

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. - Haoxuan Li 001; Chunyuan Zheng 001; Shuyi Wang; Kunhan Wu; Eric Hao Wang; Peng Wu 012; Zhi Geng; Xu Chen 017; Xiao-Hua Zhou (ICML, 2024)

Debiased Recommendation with Noisy Feedback. - Haoxuan Li 001; Chunyuan Zheng 001; Wenjie Wang 007; Hao Wang 049; Fuli Feng; Xiao-Hua Zhou (KDD, 2024)

Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions. - Taojun Hu; Xiao-Hua Zhou (CoRR, 2024)

Integrating human learning and reinforcement learning: A novel approach to agent training. - Yao-Hui Li; Feng Zhang; Qiang Hua; Xiao-Hua Zhou (Knowl. Based Syst., 2024)

Debiasing the Conversion Rate Prediction Model in the Presence of Delayed Implicit Feedback. - Taojun Hu; Xiao-Hua Zhou (Entropy, 2024)