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Guosheng Yin

Imperial College London

United Kingdom

Research Interests

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Articles (24)

Collaborators (6)

Ruoxu Tan

Jiaqi Gu

Assistant Professor

University of South Florida

UNITED STATES

Lequan Yu

Assistant Professor

The University of Hong Kong

Yan Zhang

Assistant Professor

The University of Hong Kong

Wen Su

Assistant Professor

City University of Hong Kong

Huaqing Jin

Assistant Professor

Tsinghua University

ApplyKite TwinLearns as you apply

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Prepare your application

Review drafts before you send them.

Guosheng Yin

Research Interests

Make your next move.

Explore related searches

Articles (24)

Collaborators (6)

Ruoxu Tan

Jiaqi Gu

Lequan Yu

Yan Zhang

Wen Su

Huaqing Jin

Make your next move.

Guosheng Yin

Research Interests

Make your next move.

Explore related searches

Articles (24)

SIB-MIL: Sparsity-Induced Bayesian Neural Network for Robust Multiple Instance Learning on Whole Slide Image Analysis

Nonparametric inference for censored data using deep neural networks

Pseudo-death: a new measure to evaluate composite outcomes in survival analysis

Minimum noninferiority dose for phase I clinical trials with immunotherapy

Patient Retreat in Dose Escalation for Phase I Clinical Trials With Rare Diseases

Feature Preserving Shrinkage on Bayesian Neural Networks Via the R2D2 Prior

Efficient estimation for functional accelerated failure time models

Ensemble Manifold Learning via Model Averaging

Decision Tables for Calibration-Free Odds Design in Phase I Clinical Trials

Effective Sample Size Estimation Based on the Concordance Between p-Value and Posterior Probability of the Null Hypothesis

Bayesian generalized method of moments applied to pseudo-observations in survival analysis

Automatic Radiotherapy Treatment Planning with Deep Functional Reinforcement Learning

CFO: Calibration-Free Odds Bayesian Designs for Dose Finding in Clinical Trials

3D-Polishing for Triangular Mesh Compression of Point Cloud Data

Sparse concordance‐based ordinal classification

Time‐to‐event calibration‐free odds design: A robust efficient design for phase I trials with late‐onset outcomes

Quasi-rerandomization for observational studies

Bayesian nonparametric analysis of restricted mean survival time

Divide and conquer for accelerated failure time model with massive time‐to‐event data

Omnibus test for restricted mean survival time based on influence function

PCA Rerandomization

Unit information prior for incorporating real-world evidence into randomized controlled trials

Approximate Bayesian computation design for phase I clinical trials

CFO: Calibration-free odds design for phase I/II clinical trials

Collaborators (6)

Ruoxu Tan

Jiaqi Gu

Lequan Yu

Yan Zhang

Wen Su

Huaqing Jin

Make your next move.