Pengyue Zhang

According to our database1, Pengyue Zhang authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease.
CoRR, 2024

2023
Upper record values from the generalized Pareto distribution and associated statistical inference.
Commun. Stat. Simul. Comput., February, 2023

2021
A Fast and Furious Bayesian Network and Its Application of Identifying Colon Cancer to Liver Metastasis Gene Regulatory Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Improved Adverse Drug Event Prediction Through Information Component Guided Pharmacological Network Model (IC-PNM).
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Mining and visualizing high-order directional drug interaction effects using the FAERS database.
BMC Medical Informatics Decis. Mak., March, 2020

Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest.
Bioinform., 2020

Probabilistic Oriented Object Detection in Automotive Radar.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Mining Directional Drug Interaction Effects on Myopathy Using the FAERS Database.
IEEE J. Biomed. Health Informatics, 2019

2018
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Expression quantitative locus mapping for identification of hotspots using an empirical Bayes mixture model.
Int. J. Comput. Biol. Drug Des., 2017

Self supervised deep representation learning for fine-grained body part recognition.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automated level set segmentation of histopathologic cells with sparse shape prior support and dynamic occlusion constraint.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Dynamic registration for gigapixel serial whole slide images.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Sparse discriminative multi-manifold embedding for one-sample face identification.
Pattern Recognit., 2016

Robust cell segmentation for histological images of Glioblastoma.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Quantitative Assessment of Parkinsonian Tremor Based on an Inertial Measurement Unit.
Sensors, 2015

2014
Robust face recognition via occlusion dictionary learning.
Pattern Recognit., 2014

2013
Learning a Sparse Representation for Robust Face Recognition.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A novel method for vessel skeleton extraction.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
A dynamic time order network for time-series gene expression data analysis.
BMC Syst. Biol., 2012


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