Minghan Chen

Orcid: 0000-0002-7321-8962

Affiliations:
  • Wake Forest University, Departmment of Computer Science, Winston-Salem, NC, USA
  • Virginia Polytechnic Institute and State University, Department of Computer Science, Blacksburg, VA, USA (PhD 2019)


According to our database1, Minghan Chen authored at least 31 papers between 2014 and 2026.

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

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

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Online presence:

On csauthors.net:

Bibliography

2026
Tau-BNO: Brain Neural Operator for Tau Transport Model.
CoRR, March, 2026

Catastrophic Forgetting in Kolmogorov-Arnold Networks.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds.
IEEE Trans. Medical Imaging, March, 2025

Chemical environment adaptive learning for optical band gap prediction of doped graphitic carbon nitride nanosheets.
Neural Comput. Appl., February, 2025

Fourier-enhanced Neural Networks For Systems Biology Applications.
CoRR, February, 2025

A Novel Joint Multi-Graph Learning Framework for Dynamic Functional Connectivity Network Estimation Across Multiple Time Scale.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
SCRN: Single-Cell Gene Regulatory Network Identification in Alzheimer's Disease.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Learning Functional Dynamics from a Multilayer Brain Network.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
scENT for Revealing Gene Clusters From Single-Cell RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Neural Symbolic Regression using Control Variables.
CoRR, 2023

Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Modeling of AMPK Regulatory Network in Alzheimer's Disease.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Modeling the temporal dynamics of master regulators and CtrA proteolysis in Caulobacter crescentus cell cycle.
PLoS Comput. Biol., 2022

Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis.
Frontiers Neuroinformatics, 2022

Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease.
CoRR, 2022

Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data.
Comput. Biol. Medicine, 2022

Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease.
Comput. Biol. Medicine, 2022

A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Patient Similarity Learning with Selective Forgetting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AT[N]-net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019

Analysis and remedy of negativity problem in hybrid stochastic simulation algorithm and its application.
BMC Bioinform., 2019

2018
Analysis and Remedy of Negativity Problem in Hybrid Stochastic Simulation Algorithm and its Application: Extended Abstract.
Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2016
A Hybrid Stochastic Model of the Budding Yeast Cell Cycle Control Mechanism.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

Stochastic Modeling and Simulation of Reaction-Diffusion System with Hill Function Dynamics.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Two-dimensional model of bipolar PopZ polymerization in <i>caulobacter crescentus</i>.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014
Label and Distance-Constraint Reachability Queries in Uncertain Graphs.
Proceedings of the Database Systems for Advanced Applications, 2014


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