Haoteng Tang

According to our database, Haoteng Tang authored at least 40 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Patch-MoE Mamba: A Patch-Ordered Mixture-of-Experts State Space Architecture for Medical Image Segmentation.

Diego Adame, Fabian Vazquez, Jose Angel Nuñez, Huimin Li, Jinghao Yang, Erik Enriquez, DongChul Kim, Haoteng Tang, Bin Fu, Pengfei Gu

CoRR, May, 2026

Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding.

Yang Du, Siyuan Dai, Yonghao Song, Paul M. Thompson, Haoteng Tang, Liang Zhan

CoRR, January, 2026

Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting.

Kun Zhao, Siyuan Dai, Pan Wang, Jifeng Song, Hui Ji, Chenghua Lin, Liang Zhan, Haoteng Tang

CoRR, January, 2026

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks.

Islam Akef Ebeid, Haoteng Tang, Pengfei Gu

Frontiers Bioinform., 2026

Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification^*.

Pengfei Gu, Huimin Li, Haoteng Tang, Dongkuan Xu, Erik Enriquez, DongChul Kim, Bin Fu, Danny Z. Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Learning with Geometric Priors in U-Net Variants for Polyp Segmentation.

Fabian Vazquez, Jose Angel Nuñez, Diego Adame, Alissen Moreno, Augustin Zhan, Huimin Li, Jinghao Yang, Haoteng Tang, Bin Fu, Pengfei Gu

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression.

Kun Zhao, Siyuan Dai, Yingying Zhang, Guodong Liu, Pengfei Gu, Chenghua Lin, Paul M. Thompson, Alex D. Leow, Heng Huang, Lifang He, Liang Zhan, Haoteng Tang

CoRR, December, 2025

Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification.

Pengfei Gu, Huimin Li, Haoteng Tang, Dongkuan Xu, Erik Enriquez, DongChul Kim, Bin Fu, Danny Z. Chen

CoRR, December, 2025

Zeus: zero-shot LLM instruction for union segmentation in multimodal medical imaging.

Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan

Int. J. Mach. Learn. Cybern., November, 2025

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation.

Kun Zhao, Bohao Yang, Chen Tang, Siyuan Dai, Haoteng Tang, Chenghua Lin, Liang Zhan

CoRR, June, 2025

BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.

Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan

Neural Networks, 2025

Who Matters More in Radiology Report Generation: Vision Encoders or Language Models?

Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang

Proceedings of the IEEE International Conference on Data Mining, 2025

SynM-FPP: Few-Shot Learning on Synthmorph-Based Motion Correction Framework for Myocardial First-Pass Perfusion.

Han Tang, Qi Huang, Haoteng Tang, Liya Dai, Caleb Berberet, Scott Bugenhagen, Thomas Schindler, Linda Peterson, Yang Yang, Yan Yan, Pamela Woodard, Jie Zheng

Proceedings of the IEEE International Conference on Data Mining, 2025

Quantitative Phosphocreatine Mapping with a Transformer-Based Regression Network.

Qi Huang, Haoteng Tang, Han Tang, Caleb Berberet, Liya Dai, Thomas Schindler, Linda Peterson, Yang Yang, Yan Yan, Pamela Woodard, Jie Zheng

Proceedings of the IEEE International Conference on Data Mining, 2025

Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction.

Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang

Proceedings of the IEEE International Conference on Data Mining, 2025

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making.

Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan

Proceedings of the IEEE International Conference on Data Mining, 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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 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

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

A General Paradigm for Fine-Tuning Large Language Models in Alzheimer's Disease Diagnosis.

Marcus Zhan, Kun Zhao, Guodong Liu, Haoteng Tang

Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model.

Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan

IEEE Trans. Neural Networks Learn. Syst., June, 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

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

Constrained Multiview Representation for Self-supervised Contrastive Learning.

Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan

CoRR, 2024

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation.

Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

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, November, 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, Heng Huang, Liang Zhan, Yong Xia

Comput. Biol. Medicine, March, 2023

Signed graph representation learning for functional-to-structural brain network mapping.

Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

Medical Image Anal., 2023

Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data.

Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

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

Functional2Structural: Cross-Modality Brain Networks Representation Learning.

Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan

CoRR, 2022

Hierarchical Brain Embedding Using Explainable Graph Learning.

Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning.

Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan

Neural Networks, 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

CoRR, 2021

Boundary-aware Graph Reasoning for Semantic Segmentation.

Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan

CoRR, 2021

2020

Adversarial Attack on Hierarchical Graph Pooling Neural Networks.

Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan

CoRR, 2020

Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning.

Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network.

Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

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, Meng Law, Pratik Mukherjee, Geoffrey T. Manley, John D. Van Horn, Arthur W. Toga

Frontiers Neuroinformatics, 2019

Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding.

Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome.

Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019