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ORCIDMinghan Chen 0001
Person information
- affiliation: Wake Forest University, Departmment of Computer Science, Winston-Salem, NC, USA
- affiliation (PhD 2019): Virginia Polytechnic Institute and State University, Department of Computer Science, Blacksburg, VA, USA
Other persons with the same name
- Minghan Chen — disambiguation page
- Minghan Chen 0002
![[0009-0008-5840-176X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0009-0008-5840-176X")
— University of Technology Sydney, Faculty of Engineering and Information Technology, Australian Artificial Intelligence Institute, Sydney, Australia
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2020 – today
- 2026
[c17]Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang:
Catastrophic Forgetting in Kolmogorov-Arnold Networks. AAAI 2026: 25082-25089- [i6]Nuutti Barron, Heng Rao, Urmi Saha, Yu Gu, Zhenghao Liu, Ge Yu, Defu Yang, Ashish Raj, Minghan Chen:
Tau-BNO: Brain Neural Operator for Tau Transport Model. CoRR abs/2603.08108 (2026) - 2025
- [j11]Chen Chen, Enze Xu, Defu Yang, Chenggang Yan, Tao Wei, Hanning Chen, Yong Wei, Minghan Chen:
Chemical environment adaptive learning for optical band gap prediction of doped graphitic carbon nitride nanosheets. Neural Comput. Appl. 37(5): 3287-3301 (2025) - [j10]Defu Yang, Hui Shen, Minghan Chen, Shuai Wang, Jiazhou Chen, Hongmin Cai, Xueli Chen, Guorong Wu, Wentao Zhu:
A Novel Spatio-Temporal Hub Identification in Brain Networks by Learning Dynamic Graph Embedding on Grassmannian Manifolds. IEEE Trans. Medical Imaging 44(3): 1454-1467 (2025) - [c16]Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen:
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. AAAI 2025: 27126-27134 - [c15]Sumin Liu, Minghan Chen, Xin Cao, Zhe Sheng, Junmei Sun, Ju Zhan, Shuai Wang, Guorong Wu, Defu Yang:
A Novel Joint Multi-Graph Learning Framework for Dynamic Functional Connectivity Network Estimation Across Multiple Time Scale. ISBI 2025: 1-4 - [i5]Enze Xu, Minghan Chen:
Fourier-enhanced Neural Networks For Systems Biology Applications. CoRR abs/2502.07129 (2025) - [i4]Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang:
Catastrophic Forgetting in Kolmogorov-Arnold Networks. CoRR abs/2511.12828 (2025) - 2024
- [j9]Wentao Zhu, Zhiqiang Du, Ziang Xu, Defu Yang, Minghan Chen, Qianqian Song:
SCRN: Single-Cell Gene Regulatory Network Identification in Alzheimer's Disease. IEEE ACM Trans. Comput. Biol. Bioinform. 21(6): 1886-1896 (2024) - [c14]Jiayang Su, Junbo Ma, Songyang Tong, Enze Xu, Minghan Chen:
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems. AAAI 2024: 15100-15107 - [c13]Defu Yang, Jiaqi Zhao, Minghan Chen, Yitian Xue, Jingwen Zhou, Shuai Wang, Guorong Wu, Wentao Zhu:
Learning Functional Dynamics from a Multilayer Brain Network. ISBI 2024: 1-4 - [i3]Heng Rao, Yu Gu, Jason Zipeng Zhang, Ge Yu, Yang Cao, Minghan Chen:
Hierarchical Gradient-Based Genetic Sampling for Accurate Prediction of Biological Oscillations. CoRR abs/2409.12816 (2024) - 2023
- [j8]Fan Rao, Minghan Chen, Defu Yang, Bess Morrell, Qianqian Song, Wentao Zhu:
scENT for Revealing Gene Clusters From Single-Cell RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 2266-2277 (2023) - [c12]Junsheng Wang, Enze Xu, Yang Xiao, Chunrui Xu, Minghan Chen:
Modeling of AMPK Regulatory Network in Alzheimer's Disease. BIBM 2023: 3832-3839 - [c11]Defu Yang, Hui Shen, Minghan Chen, Yitian Xue, Shuai Wang, Guorong Wu, Wentao Zhu:
Spatiotemporal Hub Identification in Brain Network by Learning Dynamic Graph Embedding on Grassmannian Manifold. MICCAI (2) 2023: 394-402 - [i2]Xieting Chu, Hongjue Zhao, Enze Xu, Hairong Qi, Minghan Chen, Huajie Shao:
Neural Symbolic Regression using Control Variables. CoRR abs/2306.04718 (2023) - 2022
- [j7]Minghan Chen, Chunrui Xu, Ziang Xu, Wei He, Haorui Zhang, Jing Su, Qianqian Song:
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 149: 105999 (2022) - [j6]Minghan Chen, Shishen Jia, Mengfan Xue, Hailiang Huang, Ziang Xu, Defu Yang, Wentao Zhu, Qianqian Song:
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease. Comput. Biol. Medicine 151(Part): 106305 (2022) - [j5]Wenchao Li, Jiaqi Zhao, Chenyu Shen, Jingwen Zhang, Ji Hu, Mang Xiao, Jiyong Zhang, Minghan Chen:
Regional Brain Fusion: Graph Convolutional Network for Alzheimer's Disease Prediction and Analysis. Frontiers Neuroinformatics 16: 886365 (2022) - [j4]Chunrui Xu, Henry Hollis, Michelle Dai, Xiangyu Yao, Layne T. Watson, Yang Cao, Minghan Chen:
Modeling the temporal dynamics of master regulators and CtrA proteolysis in Caulobacter crescentus cell cycle. PLoS Comput. Biol. 18(1) (2022) - [c10]Jingwen Zhang, Enze Xu, Minghan Chen:
AT[N]-net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease. BCB 2022: 63:1 - [c9]Wei Qian, Chenxu Zhao, Huajie Shao, Minghan Chen, Fei Wang, Mengdi Huai:
Patient Similarity Learning with Selective Forgetting. BIBM 2022: 529-534 - [c8]Defu Yang, Wenchao Li, Jingwen Zhang, Hui Shen, Minghan Chen, Wentao Zhu, Guorong Wu:
A Neuropathological Hub Identification for Alzheimer's Disease Via joint Analysis of Topological Structure and Neuropathological Burden. ISBI 2022: 1-4 - [i1]Enze Xu, Jingwen Zhang, Jiadi Li, Defu Yang, Guorong Wu, Minghan Chen:
Pathology Steered Stratification Network for Subtype Identification in Alzheimer's Disease. CoRR abs/2210.05880 (2022) - 2021
- [c7]Qing Liu, Defu Yang, Jingwen Zhang, Ziming Wei, Guorong Wu, Minghan Chen:
Analyzing The Spatiotemporal Interaction And Propagation Of Atn Biomarkers In Alzheimer's Disease Using Longitudinal Neuroimaging Data. ISBI 2021: 126-129 - 2020
- [c6]Jingwen Zhang, Defu Yang, Wei He, Guorong Wu, Minghan Chen:
A Network-Guided Reaction-Diffusion Model of AT[N] Biomarkers in Alzheimer's Disease. BIBE 2020: 222-229
2010 – 2019
- 2019
- [j3]Minghan Chen, Yang Cao:
Analysis and remedy of negativity problem in hybrid stochastic simulation algorithm and its application. BMC Bioinform. 20-S(12): 315:1-315:16 (2019) - [j2]Minghan Chen, Brandon D. Amos, Layne T. Watson, John J. Tyson, Young Cao, Clifford A. Shaffer, Michael W. Trosset, Cihan Oguz, Gisella Kakoti:
Quasi-Newton Stochastic Optimization Algorithm for Parameter Estimation of a Stochastic Model of the Budding Yeast Cell Cycle. IEEE ACM Trans. Comput. Biol. Bioinform. 16(1): 301-311 (2019) - 2018
- [c5]Minghan Chen, Yang Cao:
Analysis and Remedy of Negativity Problem in Hybrid Stochastic Simulation Algorithm and its Application: Extended Abstract. BCB 2018: 585-586 - 2017
- [j1]Minghan Chen, Fei Li, Shuo Wang, Young Cao:
Stochastic modeling and simulation of reaction-diffusion system with Hill function dynamics. BMC Syst. Biol. 11(3): 21:1-21:11 (2017) - 2016
- [c4]Shuo Wang, Mansooreh Ahmadian, Minghan Chen, John J. Tyson, Young Cao:
A Hybrid Stochastic Model of the Budding Yeast Cell Cycle Control Mechanism. BCB 2016: 261-270 - [c3]Minghan Chen, Fei Li, Shuo Wang, Yang Cao:
Stochastic Modeling and Simulation of Reaction-Diffusion System with Hill Function Dynamics. BCB 2016: 525-526 - 2015
- [c2]Minghan Chen, Fei Li, Kartik Subramanian, John J. Tyson, Yang Cao:
Two-dimensional model of bipolar PopZ polymerization in caulobacter crescentus. BCB 2015: 37-46 - 2014
- [c1]Minghan Chen, Yu Gu, Yubin Bao, Ge Yu:
Label and Distance-Constraint Reachability Queries in Uncertain Graphs. DASFAA (1) 2014: 188-202
Coauthor Index
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