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)

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)

The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. - Hosung Kim; Andrei Irimia; Sam Hobel; Mher Pogosyan; Haoteng Tang; Petros Petrosyan; Rita Esquivel Castelo Blanco; Ben A. Duffy; Lu Zhao; Karen L. Crawford; Sook-Lei Liew; Kristi Clark; et al. (Frontiers Neuroinformatics, 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)

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

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)

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)

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)

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)

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. - Haoteng Tang; Guixiang Ma; Lei Guo 028; Xiyao Fu; Heng Huang; Liang Zhang (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)

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)

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)

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)

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)

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

SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey. - Qiming Guo; Jinwen Tang; Wenbo Sun; Haoteng Tang; Yi Shang; Wenlu Wang (CoRR, 2024)

SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques. - Qiming Guo; Jinwen Tang; Wenbo Sun; Haoteng Tang; Yi Shang; Wenlu Wang (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)

A General Paradigm for Fine-Tuning Large Language Models in Alzheimer's Disease Diagnosis. - Marcus Zhan; Kun Zhao 007; Guodong Liu; Haoteng Tang (AAAI Spring Symposia, 2025)

Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp Segmentation. - Diego Adame; Jose Angel Nuñez; Fabian Vazquez; Nayeli Gurrola; Huimin Li; Haoteng Tang; Bin Fu; Pengfei Gu (CBMS, 2025)

Adapting a Segmentation Foundation Model for Medical Image Classification. - Pengfei Gu; Haoteng Tang; Islam Akef Ebeid; Jose Angel Nuñez; Fabian Vazquez; Diego Adame; Marcus Zhan; Huimin Li; Bin Fu; Danny Z. Chen (CBMS, 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)

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)