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2020 – today
- 2024
[j15]Taojun Hu
, Xiao-Hua Zhou:
Debiasing the Conversion Rate Prediction Model in the Presence of Delayed Implicit Feedback. Entropy 26(9): 792 (2024)- [j14]Yao-Hui Li, Feng Zhang, Qiang Hua, Xiao-Hua Zhou:
Integrating human learning and reinforcement learning: A novel approach to agent training. Knowl. Based Syst. 294: 111782 (2024) - [c9]Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang:
Phased Instruction Fine-Tuning for Large Language Models. ACL (Findings) 2024: 5735-5748 - [c8]Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou:
Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. ICML 2024 - [c7]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. KDD 2024: 1576-1586 - [i10]Taojun Hu, Xiao-Hua Zhou:
Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions. CoRR abs/2404.09135 (2024) - [i9]Wei Pang, Chuan Zhou, Xiao-Hua Zhou, Xiaojie Wang:
Phased Instruction Fine-Tuning for Large Language Models. CoRR abs/2406.04371 (2024) - [i8]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. CoRR abs/2406.17182 (2024) - 2023
- [j13]Chong You, John T. Ormerod, Xiangyang Li, Cheng Heng Pang, Xiao-Hua Zhou:
An Approximated Collapsed Variational Bayes Approach to Variable Selection in Linear Regression. J. Comput. Graph. Stat. 32(3): 782-792 (2023) - [c6]Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu:
Multiple Robust Learning for Recommendation. AAAI 2023: 4417-4425 - [c5]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. RecSys 2023: 682-687 - [i7]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. CoRR abs/2308.02571 (2023) - 2022
- [c4]Nan Ke, Tong Lin, Zhouchen Lin, Xiao-Hua Zhou, Taoyun Ji:
Convolutional Transformer Networks for Epileptic Seizure Detection. CIKM 2022: 4109-4113 - [c3]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. IJCAI 2022: 5646-5653 - [c2]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. KDD 2022: 252-262 - [i6]Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou:
Causal Analysis Framework for Recommendation. CoRR abs/2201.06716 (2022) - [i5]Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, Yuhao Deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou:
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems. CoRR abs/2202.11351 (2022) - [i4]Peng Wu, Haoxuan Li, Yan Lyu, Xiao-Hua Zhou:
Doubly Robust Collaborative Targeted Learning for Recommendation on Data Missing Not at Random. CoRR abs/2203.10258 (2022) - [i3]Haoxuan Li, Chunyuan Zheng, Xiao-Hua Zhou, Peng Wu:
Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. CoRR abs/2205.04701 (2022) - [i2]Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun:
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. CoRR abs/2211.06684 (2022) - 2021
- [c1]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. ACL/IJCNLP (1) 2021: 3456-3468 - [i1]Mengqi Miao, Fandong Meng, Yijin Liu, Xiao-Hua Zhou, Jie Zhou:
Prevent the Language Model from being Overconfident in Neural Machine Translation. CoRR abs/2105.11098 (2021) - 2020
- [j12]Xiangyang Li, Huan Zhang, Xiao-Hua Zhou:
Chinese clinical named entity recognition with variant neural structures based on BERT methods. J. Biomed. Informatics 107: 103422 (2020) - [j11]Fei Zhang, Xiao-Hua Zhou, Jiafu Su, Sang-Bing Tsai, Yu-Ming Zhai:
Governance role of media information's uncertainty in IPO market-oriented pricing. Kybernetes 49(12): 2849-2871 (2020)
2010 – 2019
- 2016
- [j10]Yan Jin, Yi Su, Xiao-Hua Zhou, Shuai Huang:
Heterogeneous multimodal biomarkers analysis for Alzheimer's disease via Bayesian network. EURASIP J. Bioinform. Syst. Biol. 2016: 12 (2016) - [j9]Hua Chen, Peng Ding, Zhi Geng, Xiao-Hua Zhou:
Semiparametric Inference of the Complier Average Causal Effect with Nonignorable Missing Outcomes. ACM Trans. Intell. Syst. Technol. 7(2): 19:1-19:15 (2016) - 2015
- [j8]Wei Liu, Bo Zhang, Zhiwei Zhang, Baojiang Chen, Xiao-Hua Zhou:
A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests. Comput. Stat. Data Anal. 84: 85-98 (2015) - 2014
- [j7]Peng Lai, Qihua Wang, Xiao-Hua Zhou:
Variable selection and semiparametric efficient estimation for the heteroscedastic partially linear single-index model. Comput. Stat. Data Anal. 70: 241-256 (2014) - 2013
- [j6]Baojiang Chen, Xiao-Hua Zhou:
A correlated random effects model for non-homogeneous Markov processes with nonignorable missingness. J. Multivar. Anal. 117: 1-13 (2013)
2000 – 2009
- 2008
- [j5]Xiao-Hua Zhou, Hao Cheng:
A computer program for estimating the re-transformed mean in heteroscedastic two-part models. Comput. Methods Programs Biomed. 90(3): 210-216 (2008) - 2006
- [j4]Xiao-Hua Zhou, Hua Liang:
Semi-parametric single-index two-part regression models. Comput. Stat. Data Anal. 50(5): 1378-1390 (2006)
1990 – 1999
- 1998
- [j3]Michael D. Murray, Bonnie Loos, Wanzhu Tu, George J. Eckert, Xiao-Hua Zhou, William M. Tierney:
Research Paper: Effects of Computer-based Prescribing on Pharmacist Work Patterns. J. Am. Medical Informatics Assoc. 5(6): 546-553 (1998) - 1997
- [j2]William M. Tierney, Michael D. Murray, Denise L. Gaskins, Xiao-Hua Zhou:
Research Paper: Using Computer-based Medical Records to Predict Mortality Risk for Inner-city Patients with Reactive Airways Disease. J. Am. Medical Informatics Assoc. 4(4): 313-321 (1997) - [j1]J. Marc Overhage, William M. Tierney, Xiao-Hua Zhou, Clement J. McDonald:
Research Paper: A Randomized Trial of "Corollary Orders" to Prevent Errors of Omission. J. Am. Medical Informatics Assoc. 4(5): 364-375 (1997)
Coauthor Index
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