Guosheng Yin

Chinese University of Hong Kong — China

Mathematics · Physical Sciences

42h-index7.0kcitations347works1.42yr avg
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Research Topics

Statistical Methods in Clinical Trials(105), Statistical Methods and Inference(90), Statistical Methods and Bayesian Inference(62), Optimal Experimental Design Methods(53), Advanced Causal Inference Techniques(30)

Publications347 total

Learning from the omicron BA.4/5 dominance: Strategies for future vaccination preparedness
Vaccine·2025
Normalized area above quantile: An alternative measure to restricted mean survival time
The Annals of Applied Statistics·2025
Cross-Modal Alignment via Variational Copula Modelling
arXiv (Cornell University)·2025Open Access
Decision Tables for Calibration-Free Odds Design in Phase I Clinical Trials
JCO Precision Oncology·2025
Amplifying Prominent Representations in Multimodal Learning via Variational Dirichlet Process
arXiv (Cornell University)·2025Open Access
Effective Sample Size Estimation Based on the Concordance Between p-Value and Posterior Probability of the Null Hypothesis
Frontiers in artificial intelligence and applications·2025Open Access
Ensemble Manifold Learning via Model Averaging
Frontiers in artificial intelligence and applications·2025Open Access
One-sample survival tests in the presence of non-proportional hazards in oncology clinical trial
SPIRE - Sciences Po Institutional REpository·2025
Bayesian generalized method of moments applied to pseudo-observations in survival analysis
Lifetime Data Analysis·2025Open Access
Novel Load-Free SSB Modulation for LoRa Backscatter Communication
IEEE Wireless Communications Letters·2025
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
arXiv (Cornell University)·2025Open Access
Drug repurposing for Alzheimer's disease integrating transcriptome-wide association study and biological network analysis
Journal of Alzheimer s Disease·2025· 1 cited
Effective sample size estimation based on concordance between p-value and posterior probability of the null hypothesis
arXiv (Cornell University)·2025Open Access
Democratizing large language model-based graph data augmentation via latent knowledge graphs
Neural Networks·2025· 2 citedOpen Access
Covariance Supervised Principal Component Analysis
arXiv (Cornell University)·2025Open Access
One-sample survival tests in the presence of non-proportional hazards in oncology clinical trial
ArXiv.org·2025Open Access
MVPortrait: Text-Guided Motion and Emotion Control for Multi-view Vivid Portrait Animation
2025· 3 cited
Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence·2025
Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
arXiv (Cornell University)·2025Open Access
Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning
2025
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Frequent Co-authors

Ying Yuan(8), Joseph G. Ibrahim(4), Ruitao Lin(4), Menghong Sun(3), Edgardo Rivera(3), Vicente Valero(3), Kristine Broglio(3), Gabriel N. Hortobágyi(3), Ignacio I. Wistuba(3), Donglin Zeng(3), J. Jack Lee(3), Yi Feng Wen(3), Xun Yu Zhou(2), Ming Tan(2), Dihua Yu(2), Jianwen Cai(2), Banu Arun(2), Carmen Behrens(2), Ximing Tang(2), Waun Ki Hong(2)