HARDI Denoising: Variational Regularization of the Spherical Apparent Diffusion Coefficient sADC. - Yunho Kim; Paul M. Thompson; Arthur W. Toga; Luminita A. Vese; Liang Zhan (IPMI, 2009)

Segmenting Crossing Fiber Geometries Using Fluid Mechanics Tensor Distribution Function Tractography. - Nathan S. Hageman; Alex D. Leow; David W. Shattuck; Liang Zhan; Paul M. Thompson; Siwei Zhu; Arthur W. Toga (ISBI, 2009)

White Matter Integrity Measured by Fractional Anisotropy Correlates Poorly with Actual Individual Fiber Anisotropy. - Alex D. Leow; Liang Zhan; Siwei Zhu; Nathan S. Hageman; Ming-Chang Chiang; Marina Barysheva; Arthur W. Toga; Katie McMahon; Greig I. de Zubicaray; Margaret J. Wright; Paul M. Thompson (ISBI, 2009)

Analyzing Multi-Fiber Reconstruction in High Angular Resolution Diffusion Imaging Using the Tensor Distribution Function. - Liang Zhan; Alex D. Leow; Siwei Zhu; Ming-Chang Chiang; Marina Barysheva; Arthur W. Toga; Katie McMahon; Greig I. de Zubicaray; Margaret J. Wright; Paul M. Thompson (ISBI, 2009)

A Novel Measure of Fractional Anisotropy Based on the Tensor Distribution Function. - Liang Zhan; Alex D. Leow; Siwei Zhu; Marina Barysheva; Arthur W. Toga; Katie McMahon; Greig I. de Zubicaray; Margaret J. Wright; Paul M. Thompson (MICCAI (1), 2009)

Diffusion tensor imaging in seven minutes: determining trade-offs between spatial and directional resolution. - Neda Jahanshad; Liang Zhan; Matt A. Bernstein; Bret J. Borowski; Clifford R. Jack; Arthur W. Toga; Paul M. Thompson (ISBI, 2010)

How does angular resolution affect diffusion imaging measures? - Liang Zhan; Alex D. Leow; Neda Jahanshad; Ming-Chang Chiang; Marina Barysheva; Agatha D. Lee; Arthur W. Toga; Katie McMahon; Greig I. de Zubicaray; Margaret J. Wright; Paul M. Thompson (NeuroImage, 2010)

TDF-TRACT: Probabilistic tractography using the tensor distribution function. - Johnson J. GadElkarim; Liang Zhan; Shaolin Yang; Aifeng Zhang; Lori L. Altshuler; Melissa Lamar; Olusola Ajilore; Paul M. Thompson; Anand R. Kumar; Alex D. Leow (ISBI, 2011)

Differential information content in staggered multiple shell hardi measured by the tensor distribution function. - Liang Zhan; Alex D. Leow; Iman Aganj; Christophe Lenglet; Guillermo Sapiro; Essa Yacoub; Noam Harel; Arthur W. Toga; Paul M. Thompson (ISBI, 2011)

Heritability of White Matter Fiber Tract Shapes: A HARDI Study of 198 Twins. - Yan Jin 001; Yonggang Shi; Shantanu H. Joshi; Neda Jahanshad; Liang Zhan; Greig I. de Zubicaray; Katie McMahon; Nicholas G. Martin; Margaret J. Wright; Arthur W. Toga; Paul M. Thompson (MBIA, 2011)

Measuring inter-hemispheric integration in bipolar affective disorder using brain network analyses and HARDI. - Alex D. Leow; Liang Zhan; Olusola Ajilore; Johnson J. GadElkarim; Aifeng Zhang; Donatello Arienzo; Teena Moody; Jamie Feusner; Anand R. Kumar; Paul M. Thompson; Lori L. Altshuler (ISBI, 2012)

How do spatial and angular resolution affect brain connectivity maps from diffusion MRI? - Liang Zhan; Daniel Franc; Vishal Patel; Neda Jahanshad; Yan Jin 001; Bryon A. Mueller; Matt A. Bernstein; Bret J. Borowski; Clifford R. Jack; Arthur W. Toga; Kelvin O. Lim; Paul M. Thompson (ISBI, 2012)

A Framework for Quantifying Node-Level Community Structure Group Differences in Brain Connectivity Networks. - Johnson J. GadElkarim; Dan Schonfeld; Olusola Ajilore; Liang Zhan; Aifeng Zhang; Jamie Feusner; Paul M. Thompson; Tony J. Simon; Anand R. Kumar; Alex D. Leow (MICCAI (2), 2012)

Automatic Population HARDI White Matter Tract Clustering by Label Fusion of Multiple Tract Atlases. - Yan Jin 001; Yonggang Shi; Liang Zhan; Junning Li; Greig I. de Zubicaray; Katie McMahon; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (MBIA, 2012)

Hierarchical Structural Mapping for Globally Optimized Estimation of Functional Networks. - Alex D. Leow; Liang Zhan; Donatello Arienzo; Johnson J. GadElkarim; Aifeng Zhang; Olusola Ajilore; Anand R. Kumar; Paul M. Thompson; Jamie Feusner (MICCAI (2), 2012)

Labeling white matter tracts in hardi by fusing multiple tract atlases with applications to genetics. - Yan Jin 001; Yonggang Shi; Liang Zhan; Greig I. de Zubicaray; Katie McMahon; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (ISBI, 2013)

Brain network efficiency and topology depend on the fiber tracking method: 11 tractography algorithms compared in 536 subjects. - Liang Zhan; Neda Jahanshad; Yan Jin 001; Arthur W. Toga; Katie McMahon; Greig I. de Zubicaray; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (ISBI, 2013)

Rich Club Analysis of Structural Brain Connectivity at 7 Tesla Versus 3 Tesla. - Emily L. Dennis; Liang Zhan; Neda Jahanshad; Bryon A. Mueller; Yan Jin 001; Christophe Lenglet; Essa Yacoub; Guillermo Sapiro; Kâmil Ugurbil; Noam Harel; Arthur W. Toga; Kelvin O. Lim; et al. (CDMRI/MMBC@MICCAI, 2013)

Magnetic Resonance Field Strength Effects on Diffusion Measures and Brain Connectivity Networks. - Liang Zhan; Bryon A. Mueller; Neda Jahanshad; Yan Jin 001; Christophe Lenglet; Essa Yacoub; Guillermo Sapiro; Kâmil Ugurbil; Noam Harel; Arthur W. Toga; Kelvin O. Lim; Paul M. Thompson (Brain Connect., 2013)

Constructing the resting state structural connectome. - Olusola Ajilore; Liang Zhan; Johnson J. GadElkarim; Aifeng Zhang; Jamie Feusner; Shaolin Yang; Paul M. Thompson; Anand R. Kumar; Alex D. Leow (Frontiers Neuroinformatics, 2013)

Evaluation of diffusion imaging protocols for the Alzheimer's disease Neuroimaging Initiative. - Liang Zhan; Matt A. Bernstein; Bret J. Borowski; Clifford R. Jack; Paul M. Thompson (ISBI, 2014)

Understanding scanner upgrade effects on brain integrity & connectivity measures. - Liang Zhan; Neda Jahanshad; Yan Jin 001; Talia M. Nir; Cassandra D. Leonardo; Matt A. Bernstein; Bret J. Borowski; Clifford R. Jack; Paul M. Thompson (ISBI, 2014)

Automatic clustering of white matter fibers in brain diffusion MRI with an application to genetics. - Yan Jin 001; Yonggang Shi; Liang Zhan; Boris A. Gutman; Greig I. de Zubicaray; Katie L. McMahon; Margaret J. Wright; Arthur W. Toga; Paul M. Thompson (NeuroImage, 2014)

Identification of Discriminative Subgraph Patterns in fMRI Brain Networks in Bipolar Affective Disorder. - Bokai Cao; Liang Zhan; Xiangnan Kong; Philip S. Yu; Nathalie Vizueta; Lori L. Altshuler; Alex D. Leow (BIH, 2015)

Automated multi-atlas labeling of the fornix and its integrity in alzheimer's disease. - Yan Jin 001; Yonggang Shi; Liang Zhan; Paul M. Thompson (ISBI, 2015)

Detecting genetic risk factors for Alzheimer's disease in whole genome sequence data via Lasso screening. - Tao Yang 016; Jie Wang 005; Qian Sun 002; Derrek P. Hibar; Neda Jahanshad; Li Liu 035; Yalin Wang 001; Liang Zhan; Paul M. Thompson; Jieping Ye (ISBI, 2015)

Heritability of brain network topology in 853 twins and siblings. - Liang Zhan; Neda Jahanshad; Joshua Faskowitz; Dajiang Zhu; Gautam Prasad; Nicholas G. Martin; Greig I. de Zubicaray; Katie L. McMahon; Margaret J. Wright; Paul M. Thompson (ISBI, 2015)

Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition. - Liang Zhan; Yashu Liu 001; Jiayu Zhou; Jieping Ye; Paul M. Thompson (ISBI, 2015)

Genetic analysis of structural brain connectivity using DICCCOL models of diffusion MRI in 522 twins. - Dajiang Zhu; Liang Zhan; Joshua Faskowitz; Madelaine Daianu; Neda Jahanshad; Greig I. de Zubicaray; Katie L. McMahon; Nicholas G. Martin; Margaret J. Wright; Paul M. Thompson (ISBI, 2015)

Fiber Tracking in Traumatic Brain Injury: Comparison of 9 Tractography Algorithms. - Emily L. Dennis; Gautam Prasad; Madelaine Daianu; Liang Zhan; Talin Babikian; Claudia Kernan; Richard Mink; Christopher Babbitt; Jeffrey Johnson; Christopher C. Giza; Robert F. Asarnow; Paul M. Thompson (Brainles@MICCAI, 2015)

The intrinsic geometry of the human brain connectome. - Allen Q. Ye; Olusola Ajilore; Giorgio Conte; Johnson J. GadElkarim; Galen Thomas-Ramos; Liang Zhan; Shaolin Yang; Anand R. Kumar; Richard L. Magin; Angus Graeme Forbes; Alex D. Leow (Brain Informatics, 2015)

Diffusion tensor distribution function metrics boost power to detect deficits in Alzheimer's disease. - Talia M. Nir; Artemis Zavaliangos-Petropulu; Neda Jahanshad; Julio Villalon-Reina; Liang Zhan; Alex D. Leow; Matt A. Bernstein; Clifford R. Jack; Michael W. Weiner; Paul M. Thompson (ISBI, 2016)

Discriminative fusion of multiple brain networks for early mild cognitive impairment detection. - Qi Wang; Liang Zhan; Paul M. Thompson; Hiroko H. Dodge; Jiayu Zhou (ISBI, 2016)

Population learning of structural connectivity by white matter encoding and decoding. - Dajiang Zhu; Neda Jahanshad; Brandalyn C. Riedel; Liang Zhan; Joshua Faskowitz; Gautam Prasad; Paul M. Thompson (ISBI, 2016)

Large-Scale Collaborative Imaging Genetics Studies of Risk Genetic Factors for Alzheimer's Disease Across Multiple Institutions. - Qingyang Li 001; Tao Yang 016; Liang Zhan; Derrek P. Hibar; Neda Jahanshad; Yalin Wang 001; Jieping Ye; Paul M. Thompson; Jie Wang 005 (MICCAI (1), 2016)

Automated part management system capstone project. - Bruno Borowczyk; Ben Wyss; Andrew Drane; Grant Luttinen; Ahmet Turkmen; Kenan Baltaci; Andy S. Peng; Liang Zhan (EIT, 2017)

Design of a Bluetooth-enabled low energy electrocardiogram monitoring system. - Meng Vue; Tom Ochwangi; Meng Thao; Andy S. Peng; Kenan Baltaci; Liang Zhan (EIT, 2017)

Enhancing diffusion MRI measures by integrating grey and white matter morphometry with hyperbolic wasserstein distance. - Wen Zhang 010; Jie Shi 001; Jun Yu; Liang Zhan; Paul M. Thompson; Yalin Wang 001 (ISBI, 2017)

Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. - Qi Wang; Mengying Sun; Liang Zhan; Paul Thompson 001; Shuiwang Ji; Jiayu Zhou (KDD, 2017)

Exploring the Human Connectome Topology in Group Studies. - Johnson J. G. Keiriz; Liang Zhan; Morris Chukhman; Olusola Ajilore; Alex D. Leow; Angus Graeme Forbes (CoRR, 2017)

Construction of a Decision Support System Based on GP Services, Using a Warning-Judgment Module as an Example. - Xuejia Sang; Linfu Xue; Xiaopeng Leng; Jiwen Liu; Liang Zhan (ISPRS Int. J. Geo Inf., 2017)

Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. - Mengying Sun; Inci M. Baytas; Liang Zhan; Zhangyang Wang; Jiayu Zhou (KDD, 2018)

Phase Angle Spatial Embedding (PhASE) - A Kernel Method for Studying the Topology of the Human Functional Connectome. - Zachery Morrissey; Liang Zhan; Hyekyoung Lee; Johnson J. G. Keiriz; Angus G. Forbes; Olusola Ajilore; Alex D. Leow; Moo K. Chung (MICCAI (3), 2018)

Disrupted topology of the resting state structural connectome in middle-aged APOE ε4 carriers. - Laura E. Korthauer; Liang Zhan; Olusola Ajilore; Alex D. Leow; Ira Driscoll (NeuroImage, 2018)

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. - Lei Guo 028; Haoteng Tang; Qi Wang; Emily L. Dennis; Dajiang Zhu; Heng Huang; Olusola Ajilore; Alex D. Leow; Liang Zhan (ISBI, 2019)

Brain Dynamics Through the Lens of Statistical Mechanics by Unifying Structure and Function. - Igor Fortel; Mitchell Butler; Laura E. Korthauer; Liang Zhan; Olusola Ajilore; Ira Driscoll; Anastasios Sidiropoulos; Yanfu Zhang; Lei Guo 028; Heng Huang; Dan Schonfeld; Alex D. Leow (MICCAI (5), 2019)

Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. - Haoteng Tang; Lei Guo 028; Emily L. Dennis; Paul M. Thompson; Heng Huang; Olusola Ajilore; Alex D. Leow; Liang Zhan (MBIA/MFCA@MICCAI, 2019)

Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. - Yanfu Zhang; Liang Zhan; Weidong Cai 001; Paul Thompson 001; Heng Huang (MICCAI (4), 2019)

Biological Knowledge Guided Deep Neural Network for Brain Genotype-Phenotype Association Study. - Yanfu Zhang; Liang Zhan; Paul M. Thompson; Heng Huang (MBIA/MFCA@MICCAI, 2019)

Cardiovascular disease risk factors, tract-based structural connectomics, and cognition in older adults. - Elizabeth A. Boots; Liang Zhan; Catherine Dion; Aimee J. Karstens; Jamie C. Peven; Olusola Ajilore; Melissa Lamar (NeuroImage, 2019)

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. - Yurong Chen 004; Haoteng Tang; Lei Guo 028; Jamie C. Peven; Heng Huang; Alex D. Leow; Melissa Lamar; Liang Zhan (ISBI, 2020)

A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. - Mohammad Farazi; Liang Zhan; Natasha Leporé; Paul M. Thompson; Yalin Wang 001 (ISBI, 2020)

Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. - Chao Li 033; Haoteng Tang; Cheng Deng; Liang Zhan; Wei Liu 005 (KDD, 2020)

Multimodal Learning with Incomplete Modalities by Knowledge Distillation. - Qi Wang; Liang Zhan; Paul M. Thompson; Jiayu Zhou (KDD, 2020)

Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. - Alireza Ganjdanesh; Kamran Ghasedi; Liang Zhan; Weidong Cai 001; Heng Huang (MICCAI (1), 2020)

Deep Representation Learning for Multimodal Brain Networks. - Wen Zhang 010; Liang Zhan; Paul M. Thompson; Yalin Wang 001 (MICCAI (7), 2020)

Adversarial Attack on Hierarchical Graph Pooling Neural Networks. - Haoteng Tang; Guixiang Ma; Yurong Chen 004; Lei Guo 028; Wei Wang; Bo Zeng; Liang Zhan (CoRR, 2020)

Disentangled and Proportional Representation Learning for Multi-view Brain Connectomes. - Yanfu Zhang; Liang Zhan; Shandong Wu; Paul M. Thompson; Heng Huang (MICCAI (7), 2021)

Multiplex Graph Networks for Multimodal Brain Network Analysis. - Zhaoming Kong; Lichao Sun 001; Hao Peng 001; Liang Zhan; Yong Chen 016; Lifang He 001 (CoRR, 2021)

Boundary-aware Graph Reasoning for Semantic Segmentation. - Haoteng Tang; Haozhe Jia; Weidong Cai 001; Heng Huang; Yong Xia 001; Liang Zhan (CoRR, 2021)

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Tom Weidong Cai; Heng Huang; Liang Zhan; Yong Xia 001 (CoRR, 2021)

rest2vec: Vectorizing the resting-state functional connectome using graph embedding. - Zachery Morrissey; Liang Zhan; Olusola Ajilore; Alex D. Leow (NeuroImage, 2021)

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. - Haoteng Tang; Guixiang Ma; Lifang He 001; Heng Huang; Liang Zhan (Neural Networks, 2021)

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks (Extended Abstract). - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Big Data, 2022)

Accelerate State Sharing of Network Function with RDMA. - Chenming Chang; Wei Yang; Chao Zheng 001; Ping Jiang; Liang Zhan; Qingyun Liu 001 (GLOBECOM, 2022)

Hierarchical Brain Embedding Using Explainable Graph Learning. - Haoteng Tang; Lei Guo 028; Xiyao Fu; Benjamin Qu; Paul M. Thompson; Heng Huang; Liang Zhan (ISBI, 2022)

Unified Embeddings of Structural and Functional Connectome via a Function-Constrained Structural Graph Variational Auto-Encoder. - Carlo Amodeo; Igor Fortel; Olusola Ajilore; Liang Zhan; Alex D. Leow; Theja Tulabandhula (MICCAI (1), 2022)

Predicting Spatio-Temporal Human Brain Response Using fMRI. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang (MICCAI (1), 2022)

Revealing Continuous Brain Dynamical Organization with Multimodal Graph Transformer. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang (MICCAI (1), 2022)

Explainable Contrastive Multiview Graph Representation of Brain, Mind, and Behavior. - Chongyue Zhao; Liang Zhan; Paul M. Thompson; Heng Huang (MICCAI (1), 2022)

Functional2Structural: Cross-Modality Brain Networks Representation Learning. - Haoteng Tang; Xiyao Fu; Lei Guo 028; Yalin Wang 001; Scott Mackin; Olusola Ajilore; Alex D. Leow; Paul M. Thompson; Heng Huang; Liang Zhan (CoRR, 2022)

Tensor-Based Multi-Modality Feature Selection and Regression for Alzheimer's Disease Diagnosis. - Jun Yu; Zhaoming Kong; Liang Zhan; Li Shen 001; Lifang He 001 (CoRR, 2022)

3D bi-directional transformer U-Net for medical image segmentation. - Xiyao Fu; Zhexian Sun; Haoteng Tang; Eric M. Zou; Heng Huang; Yong Wang; Liang Zhan (Frontiers Big Data, 2022)

Evaluation Method of Equalization of Basic Medical Services from the Spatial Perspective: The Case of Xinjiang, China. - Liang Zhan; Nana Li; Chune Li; Xuejia Sang; Jun Ma (ISPRS Int. J. Geo Inf., 2022)

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. - Kai Ye 002; Haoteng Tang; Siyuan Dai; Lei Guo 028; Johnny Yuehan Liu; Yalin Wang 001; Alex D. Leow; Paul M. Thompson; Heng Huang; Liang Zhan (MICCAI (3), 2023)

Brain MRI to PET Synthesis and Amyloid Estimation in Alzheimer's Disease via 3D Multimodal Contrastive GAN. - Yan Jin 001; Jonathan DuBois; Chongyue Zhao; Liang Zhan; Audrey Gabelle; Neda Jahanshad; Paul M. Thompson; Arie Gafson; Shibeshih Mitiku Belachew (MLMI@MICCAI (1), 2023)

Incomplete Multimodal Learning for Complex Brain Disorders Prediction. - Reza Shirkavand; Liang Zhan; Heng Huang; Li Shen 001; Paul M. Thompson (CoRR, 2023)

A novel multiclass-based framework for P300 detection in BCI matrix speller: Temporal EEG patterns of non-target trials vary based on their position to previous target stimuli. - Mohammad Norizadeh Cherloo; Amir Mohammad Mijani; Liang Zhan; Mohammad Reza Daliri (Eng. Appl. Artif. Intell., 2023)

Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes. - Thanos Manos; Sandra Diaz-Pier; Igor Fortel; Ira Driscoll; Liang Zhan; Alex D. Leow (Frontiers Comput. Neurosci., 2023)

Signed graph representation learning for functional-to-structural brain network mapping. - Haoteng Tang; Lei Guo 028; Xiyao Fu; Yalin Wang 001; Scott Mackin; Olusola Ajilore; Alex D. Leow; Paul M. Thompson; Heng Huang; Liang Zhan (Medical Image Anal., 2023)

BrainGB: A Benchmark for Brain Network Analysis With Graph Neural Networks. - Hejie Cui; Wei Dai 013; Yanqiao Zhu 001; Xuan Kan; Antonio Aodong Chen Gu; Joshua Lukemire; Liang Zhan; Lifang He 001; Ying Guo 003; Carl Yang 001 (IEEE Trans. Medical Imaging, 2023)

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. - Haozhe Jia; Haoteng Tang; Guixiang Ma; Weidong Cai 001; Heng Huang; Liang Zhan; Yong Xia 001 (Comput. Biol. Medicine, 2023)

Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI. - Amir Mohammad Mijani; Mohammad Norizadeh Cherloo; Haoteng Tang; Liang Zhan (Comput. Biol. Medicine, 2023)

Uncertainty Regularized Evidential Regression. - Kai Ye 002; Tiejin Chen; Hua Wei 001; Liang Zhan (AAAI, 2024)

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. - Kun Zhao 007; Bohao Yang; Chen Tang; Chenghua Lin; Liang Zhan (ACL (Findings), 2024)

BrainODE: Dynamic Brain Signal Analysis via Graph-Aided Neural Ordinary Differential Equations. - Kaiqiao Han; Yi Yang 001; Zijie Huang 002; Xuan Kan; Ying Guo 003; Yang Yang 009; Lifang He 001; Liang Zhan; Yizhou Sun; Wei Wang 010; Carl Yang 001 (BHI, 2024)

Brain Image Synthesis Using Incomplete Multimodal Data. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Neurodegenerative Disease Prediction via Transferable Deep Networks. - Yanfu Zhang; Guodong Liu; Runxue Bao; Liang Zhan; Paul Thompson 001; Heng Huang (ISBI, 2024)

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. - Bao Hoang; Yijiang Pang; Siqi Liang 001; Liang Zhan; Paul M. Thompson; Jiayu Zhou (KDD, 2024)

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. - Haoteng Tang; Guodong Liu; Siyuan Dai; Kai Ye 002; Kun Zhao 007; Wenlu Wang; Carl Yang 001; Lifang He 001; Alex D. Leow; Paul M. Thompson; Heng Huang; Liang Zhan (MICCAI (2), 2024)

Self-guided Knowledge-Injected Graph Neural Network for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (MICCAI (2), 2024)

Constrained Multiview Representation for Self-supervised Contrastive Learning. - Siyuan Dai; Kai Ye 002; Kun Zhao 007; Ge Cui; Haoteng Tang; Liang Zhan (CoRR, 2024)

Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. - Bohao Yang; Kun Zhao 007; Chen Tang; Liang Zhan; Chenghua Lin (CoRR, 2024)

Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. - Hoang Bao; Yijiang Pang; Siqi Liang 001; Liang Zhan; Paul M. Thompson; Jiayu Zhou (CoRR, 2024)

A Heterogeneous Graph Neural Network Fusing Functional and Structural Connectivity for MCI Diagnosis. - Feiyu Yin; Yu Lei; Siyuan Dai; Wenwen Zeng; Guoqing Wu 003; Liang Zhan; Jinhua Yu (CoRR, 2024)

A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer's Diseases. - Zhepeng Wang 001; Runxue Bao; Yawen Wu; Guodong Liu; Lei Yang 018; Liang Zhan; Feng Zheng; Weiwen Jiang; Yanfu Zhang (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. - Haoteng Tang; Guixiang Ma; Lei Guo 028; Xiyao Fu; Heng Huang; Liang Zhan (IEEE Trans. Neural Networks Learn. Syst., 2024)

End-to-End Deep Learning for Structural Brain Imaging: A Unified Framework. - Yao Su 003; Keqi Han; Mingjie Zeng; Lichao Sun 001; Liang Zhan; Carl Yang 001; Lifang He 001; Xiangnan Kong (AAAI Spring Symposia, 2025)

BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. - Kai Ye 002; Haoteng Tang; Siyuan Dai; Igor Fortel; Paul M. Thompson; Scott Mackin; Alex D. Leow; Heng Huang; Liang Zhan (Neural Networks, 2025)

Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? - Keqi Han; Yao Su 003; Lifang He 001; Liang Zhan; Sergey M. Plis; Vince D. Calhoun; Carl Yang 001 (CoRR, 2025)

Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging. - Siyuan Dai; Kai Ye 002; Guodong Liu; Haoteng Tang; Liang Zhan (CoRR, 2025)

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation. - Kun Zhao 007; Bohao Yang; Chen Tang; Siyuan Dai; Haoteng Tang; Chenghua Lin; Liang Zhan (CoRR, 2025)