Haoteng Tang - Publications, H-index & Citations

Haoteng Tang

University of Texas Rio Grande Valley

12H指数

56论文数

398被引数

收录论文 12

发表时间

DRE: An effective dual-refined method for integrating small and large language models in open-domain dialogue evaluation DRE：一种在开放域对话评估中整合小规模和大规模语言模型的有效双精炼方法

Neural Networks

IF6.3

2026-08-31

PREAI

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

Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks 通过从一级结构序列推断出的全局密集残基转换图，利用有向图卷积神经网络实现蛋白质相互作用预测

Frontiers in Bioinformatics

IF3.9

2025-10-22

OAAI

Islam Akef Ebeid; Haoteng Tang; Pengfei Gu

Zeus: zero-shot LLM instruction for union segmentation in multimodal medical imaging Zeus: 用于多模态医学影像联合分割的零样本大型语言模型指令

International Journal of Machine Learning and Cybernetics

IF2.7

2025-07-22

PREAI

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

Model-based self-supervised learning for quantitative assessment of myocardial oxygen extraction fraction and myocardial blood volume 基于模型的自监督学习方法用于心肌氧提取分数和心肌血容量的定量评估

MAGNETIC RESONANCE IN MEDICINE

IF3

2025-05-01

PREAI

Qi Huang; Haoteng Tang; Keyan Wang; Ran Li; Cihat Eldeniz; Natalie Nguyen; Thomas H. Schindler; Linda R. Peterson; Yang Yang; Yan Yan; Jingliang Cheng; Pamela K. Woodard; Jie Zheng

BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis BPEN: 用于可信赖的脑成像分析的脑后验证据网络

NEURAL NETWORKS

IF6.3

2025-03-01

PREAI

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

CMR Quantification of Myocardial Oxygenation Extraction Fraction Maps Using a Model-based Self-supervised Learning Network: Initial Experience in Patients with Cardiomyopathies 基于模型的自监督学习网络对心肌氧合提取分数图进行CMR定量分析：在心肌病患者的初步经验

CIRCULATION

IF38.6

2024-11-12

PREAI

Huang, Qi; Tang, Haoteng; Wang, Keyang; Li, Ran; Zhan, Marcus; Yang, Yang; Woodard, Pamela; Zheng, Jie

Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model 基于分层符号图池模型的对比脑网络学习

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

IF8.9

2024-06-01

OAAI

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

Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI

COMPUTERS IN BIOLOGY AND MEDICINE

IF6.3

2023-11-01

OAAI

Mijani, AmirMohammad; Cherloo, Mohammad Norizadeh; Tang, Haoteng; Zhan, Liang

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

COMPUTERS IN BIOLOGY AND MEDICINE

IF6.3

2023-03-01

OAAI

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

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

MEDICAL IMAGE ANALYSIS

IF11.8

2023-01-01

OAAI

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

A Hierarchical Graph Learning Model for Brain Network Regression Analysis

FRONTIERS IN NEUROSCIENCE

IF3.2

2022-07-12

OAAI

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

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning CommPOOL: 用于分层图表示学习的可解释图池框架

NEURAL NETWORKS

IF6.3

2021-11-01

OAAI

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

研究方向