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Weicheng Zhu

Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
2022 · Sheng Liu, Arjun V. Masurkar, et al. · Scientific Reports · 199
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Associations of Resistance Exercise with Cardiovascular Disease Morbidity and Mortality
2018 · YANGHUI LIU, DUCK-CHUL LEE, et al. · Medicine & Science in Sports & Exercise · 187
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
2022 · Sheng Liu, Kangning Liu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 133
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Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
2023 · Kangning Liu, Weicheng Zhu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 41
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EPOS: object-oriented cooperative process modelling
1994 · Reidar Conradi, Marianne Hagaseth, et al. · Research Studies Press Ltd. eBooks · 38
A new approach for Alzheimer's disease treatment through P-gp regulation via ibuprofen
2018 · Chengxiang Zhang, Heng Qin, et al. · Pathology - Research and Practice · 20
Object-Oriented and Cooperative Process Modelling in EPOS
2000 · Reidar Conradi, Marianne Hagaseth, et al. · 10
Author Correction: Generalizable deep learning model for early Alzheimer’s disease detection from structural MRIs
2023 · Sheng Liu, Arjun V. Masurkar, et al. · Scientific Reports · 9
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Identification of patients at risk for pancreatic cancer in a 3-year timeframe based on machine learning algorithms
2025 · Weicheng Zhu, Long Chen, et al. · Scientific Reports · 8
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Deep Probability Estimation
2021 · Liu, Sheng, Kaku, Aakash, et al. · arXiv (Cornell University) · 7
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Graph Neural Network on Electronic Health Records for Predicting Alzheimer's Disease
2019 · Weicheng Zhu, Narges Razavian · arXiv (Cornell University) · 7
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
2026 · Zheyuan Zhang, Lin Ge, et al. · Findings of the Association for Computational Linguistics: EACL · 2
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Spatiotemporal satellite data imputation using sparse functional data analysis
2022 · Weicheng Zhu, Zhengyuan Zhu, et al. · The Annals of Applied Statistics · 2
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
2022 · Zhu, Weicheng, Fernandez-Granda, Carlos, et al. · arXiv (Cornell University) · 2
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A new framework for examining creditworthiness of borrowers: the mover-stayer model with covariate and macroeconomic effects
2021 · Halina Frydman, Anna Matuszyk, et al. · Quantitative Finance · 2
Variational hybridization and transformation for large inaccurate noisy-or networks
2016 · Xie, Yusheng, Du, Nan, et al. · arXiv (Cornell University) · 2
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Robust disease prognosis via diagnostic knowledge preservation: A sequential learning approach
2026 · Haresh Rengaraj Rajamohan, Yanqi Xu, et al. · PLoS ONE · 1
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Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
2023 · Zhu, Weicheng, Liu, Sheng, et al. · arXiv (Cornell University) · 1
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Minimax powerful functional analysis of covariance tests with application to longitudinal genome‐wide association studies
2022 · Weicheng Zhu, Sheng Xu, et al. · Scandinavian Journal of Statistics · 1
S3 Identification of Patients at Risk for Pancreatic Cancer in a 3-Year Timeframe Based on Machine Learning Algorithms in the Electronic Health Record
2021 · Weicheng Zhu, Mark B. Pochapin, et al. · The American Journal of Gastroenterology · 1
Development of a Deep Learning Model for Early Alzheimer’s Disease Detection from Structural MRIs and External Validation on an Independent Cohort
2021 · Sheng Liu, Arjun V. Masurkar, et al. · medRxiv · 1
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Topics in sparse functional data analysis
2018 · Weicheng Zhu · Iowa State University Digital Repository (Iowa State University) · 1
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StaR-KVQA: Structured Reasoning Traces for Implicit-Knowledge Visual Question Answering
2025 · Wen, Zhihao, Wei, Wenkang, et al. · arXiv (Cornell University)
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A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction
2024 · Yang, Qidong, Zhu, Weicheng, et al. · arXiv (Cornell University)
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779: Machine Learning Algorithm Identifies Patients at Risk for Pancreatic Cancer in a 3-year Timeframe
2022 · Weicheng Zhu, Mark B. Pochapin, et al. · Gastroenterology
Works count: 33
Citation count: 675
H-index: 8
I10-index: 7
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