Xiao-Hua Zhou

37 papers A* 5A 2Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
CSTEapp: An interactive R-Shiny application of the covariate-specific treatment effect curve for visualizing individualized treatment rule.
SoftwareX
Yi Zhou, Yuhao Deng, Yu-Shi Tian, Peng Wu, Wenjie Hu, Haoxiang Wang, Ewout Steyerberg, Xiao-Hua Zhou
2025 J jnl
Temporal visiting-monitoring feature interaction learning for modelling structured electronic health records.
Knowl. Based Syst.
Xiang Li, Xiao-Hua Zhou
2024 A* conf
Debiased Recommendation with Noisy Feedback.
KDD
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024 J jnl
Debiased Recommendation with Noisy Feedback.
CoRR
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024 J jnl
Debiasing the Conversion Rate Prediction Model in the Presence of Delayed Implicit Feedback.
Entropy
Taojun Hu, Xiao-Hua Zhou
2024 J jnl
Integrating human learning and reinforcement learning: A novel approach to agent training.
Knowl. Based Syst.
Yao-Hui Li, Feng Zhang, Qiang Hua, Xiao-Hua Zhou
2024 — conf
Phased Instruction Fine-Tuning for Large Language Models.
ACL (Findings)
Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang
2024 J jnl
Phased Instruction Fine-Tuning for Large Language Models.
CoRR
Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang
2024 A* conf
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering.
ICML
Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou
2024 — conf
UMVUE-DR: Uniformly Minimum Variance Unbiased Doubly Robust Learning with Reduced Bias and Variance for Debiased Recommendation.
ICDM (Workshops)
Chunyuan Zheng, Taojun Hu, Chuan Zhou, Xiao-Hua Zhou
2024 J jnl
Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions.
CoRR
Taojun Hu, Xiao-Hua Zhou
2023 A conf
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.
RecSys
Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023 J jnl
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.
CoRR
Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023 J jnl
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression.
J. Comput. Graph. Stat.
Chong You, John T. Ormerod, Xiangyang Li, Cheng Heng Pang, Xiao-Hua Zhou
2023 A* conf
Multiple Robust Learning for Recommendation.
AAAI
Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu
2022 A* conf
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
KDD
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction.
CoRR
Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun
2022 J jnl
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems.
CoRR
Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
2022 J jnl
Causal Analysis Framework for Recommendation.
CoRR
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 A conf
Convolutional Transformer Networks for Epileptic Seizure Detection.
CIKM
Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji
2022 J jnl
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random.
CoRR
Peng Wu, Haoxuan Li, Yan Lyu, Xiao-Hua Zhou
2022 A* conf
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges.
IJCAI
Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
2022 J jnl
Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random.
CoRR
Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu
2021 — conf
Prevent the Language Model from being Overconfident in Neural Machine Translation.
ACL/IJCNLP (1)
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
2021 J jnl
Prevent the Language Model from being Overconfident in Neural Machine Translation.
CoRR
Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou
2020 J jnl
Chinese clinical named entity recognition with variant neural structures based on BERT methods.
J. Biomed. Informatics
Xiangyang Li, Huan Zhang, Xiao-Hua Zhou
2020 J jnl
Governance role of media information's uncertainty in IPO market-oriented pricing.
Kybernetes
Fei Zhang, Xiao-Hua Zhou, Jiafu Su, Sang-Bing Tsai, Yu-Ming Zhai
2016 J jnl
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network.
EURASIP J. Bioinform. Syst. Biol.
Yan Jin, Yi Su, Xiao-Hua Zhou, Shuai Huang
2016 J jnl
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes.
ACM Trans. Intell. Syst. Technol.
Hua Chen, Peng Ding, Zhi Geng, Xiao-Hua Zhou
2015 J jnl
A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests.
Comput. Stat. Data Anal.
Wei Liu, Bo Zhang, Zhiwei Zhang, Baojiang Chen, Xiao-Hua Zhou
2014 J jnl
Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model.
Comput. Stat. Data Anal.
Peng Lai, Qihua Wang, Xiao-Hua Zhou
2013 J jnl
A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness.
J. Multivar. Anal.
Baojiang Chen, Xiao-Hua Zhou
2008 J jnl
A computer program for estimating the re-transformed mean in heteroscedastic two-part models.
Comput. Methods Programs Biomed.
Xiao-Hua Zhou, Hao Cheng
2006 J jnl
Semi-parametric single-index two-part regression models.
Comput. Stat. Data Anal.
Xiao-Hua Zhou, Hua Liang
1998 J jnl
Research Paper: Effects of Computer-based Prescribing on Pharmacist Work Patterns.
J. Am. Medical Informatics Assoc.
Michael D. Murray, Bonnie Loos, Wanzhu Tu, George J. Eckert, Xiao-Hua Zhou, William M. Tierney
1997 J jnl
Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission.
J. Am. Medical Informatics Assoc.
J. Marc Overhage, William M. Tierney, Xiao-Hua Zhou, Clement J. McDonald
1997 J jnl
Research Paper: Using Computer-based Medical Records to Predict Mortality Risk for Inner-city Patients with Reactive Airways Disease.
J. Am. Medical Informatics Assoc.
William M. Tierney, Michael D. Murray, Denise L. Gaskins, Xiao-Hua Zhou