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Hanlu Yang 0001
Person information
- affiliation: University of Maryland Baltimore County, MD, USA
Other persons with the same name
- Hanlu Yang 0002
— Nanjing University of Posts and Telecommunications, College of Automation and College of Artificial Intelligence, China
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2020 – today
- 2026
[j8]Lucas Gois
, Hanlu Yang
, Trung Vu
, Weixin Wang, Denis G. Fantinato
, Aline Neves
, Vince D. Calhoun
, Tülay Adali
:
Multidimensional Comparisons Between Constrained ICA/IVA Algorithms for Multi-Subject fMRI Data Analysis. IEEE Access 14: 23467-23482 (2026)
[j7]Hanlu Yang
, Ben Gabrielson
, Trung Vu
, Vince D. Calhoun, Tülay Adali
:
Large-scale resting-state fMRI analysis via regression-assisted framework. Biomed. Signal Process. Control. 112: 108404 (2026)- 2025
[j6]Hanlu Yang
, Trung Vu
, Ehsan Ahmed Dhrubo, Vince D. Calhoun, Tülay Adali
:
A Flexible Constrained ICA Approach for Multisubject fMRI Analysis. Int. J. Biomed. Imaging 2025(1) (2025)
[j5]Ben Gabrielson
, Hanlu Yang
, Trung Vu
, Vince D. Calhoun
, Tülay Adali
:
Large-Scale Independent Vector Analysis (IVA-G) via Coresets. IEEE Trans. Signal Process. 73: 230-244 (2025)
[c14]Ashfia Binte Habib, Ben Gabrielson, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Grassmannian Kernels for Efficient and Effective Detection of Group Differences in fMRI Data. CISS 2025: 1-6
[c13]Chunying Jia, Weixin Wang, Trung Vu
, Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data. CISS 2025: 1-6
[c12]Emin Erdem Kumbasar, Hanlu Yang, Trung Vu
, Vince D. Calhoun, Tülay Adali:
Fusion of Multitask fMRI Data with Constrained Independent Vector Analysis. CISS 2025: 1-6- 2024
[j4]Ben Gabrielson
, Hanlu Yang
, Trung Vu
, Vince D. Calhoun
, Tülay Adali
:
Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis. IEEE Access 12: 192356-192376 (2024)
[j3]Trung Vu
, Francisco Laport
, Hanlu Yang
, Vince D. Calhoun
, Tülay Adali
:
Constrained Independent Vector Analysis With Reference for Multi-Subject fMRI Analysis. IEEE Trans. Biomed. Eng. 71(12): 3531-3542 (2024)
[c11]Francisco Laport, Adriana Dapena, Trung Vu, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility and Replicability in Neuroimaging: Constrained IVA as an Effective Assessment Tool. EUSIPCO 2024: 802-806
[c10]Chunying Jia, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Fusion of Novel FMRI Features Using Independent Vector Analysis for a Multifaceted Characterization of Schizophrenia. EUSIPCO 2024: 1112-1116
[c9]Trung Vu
, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis. ICASSP 2024: 1831-1835
[c8]Hanlu Yang, Meiby Ortiz-Bouza, Trung Vu
, Francisco Laport, Vince D. Calhoun, Selin Aviyente, Tülay Adali:
Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks. ICASSP 2024: 2141-2145- 2023
[j2]Hanlu Yang, Trung Vu
, Qunfang Long
, Vince D. Calhoun
, Tülay Adali
:
Identification of Homogeneous Subgroups from Resting-State fMRI Data. Sensors 23(6): 3264 (2023)
[j1]Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda
, Hanlu Yang, Francisco Laport
, Vince D. Calhoun
, Tülay Adali
:
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis. Sensors 23(11): 5333 (2023)
[c7]Trung Vu
, Francisco Laport, Hanlu Yang, Tülay Adali:
Constrained Independent Vector Analysis with References: Algorithms and Performance Evaluation. ACSSC 2023: 827-831
[c6]Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali:
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS. ACSSC 2023: 1443-1447
[c5]Francisco Laport, Trung Vu
, Hanlu Yang, Vince D. Calhoun, Tülay Adali:
Reproducibility in Joint Blind Source Separation: Application to fMRI Analysis. ACSSC 2023: 1448-1452
[c4]Fateme Ghayem
, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun
, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity using Dictionary Learning. ICASSP 2023: 1-5
[c3]Hanlu Yang, Fateme Ghayem
, Ben Gabrielson, Mohammad A. B. S. Akhonda
, Vince D. Calhoun
, Tülay Adali:
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data. ICASSP 2023: 1-5- 2022
[c2]Hanlu Yang, Mohammad A. B. S. Akhonda
, Fateme Ghayem
, Qunfang Long, Vince D. Calhoun
, Tülay Adali:
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data. ICASSP 2022: 1471-1475
[i2]Fateme Ghayem, Hanlu Yang, Furkan Kantar, Seung-Jun Kim, Vince D. Calhoun
, Tülay Adali:
New Interpretable Patterns and Discriminative Features from Brain Functional Network Connectivity Using Dictionary Learning. CoRR abs/2211.07374 (2022)- 2020
[i1]Danfeng Xie, Yiran Li, Hanlu Yang, Li Bai, Lei Zhang, Ze Wang:
A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images. CoRR abs/2005.07784 (2020)
2010 – 2019
- 2019
[c1]Danfeng Xie, Yiran Li
, HanLu Yang, Donghui Song
, Yuanqi Shang, Qiu Ge, Li Bai, Ze Wang:
BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks. MLMI@MICCAI 2019: 373-381
Coauthor Index

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last updated on 2026-03-07 23:06 CET by the dblp team
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