Haoteng Tang - RankMe

46 papers A* 1B 2Journal 31Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting. CoRR Kun Zhao, Siyuan Dai, Pan Wang, Jifeng Song, Hui Ji, Chenghua Lin, Liang Zhan, Haoteng Tang
2026	J	`jnl`	Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding. CoRR Yang Du, Siyuan Dai, Yonghao Song, Paul M. Thompson, Haoteng Tang, Liang Zhan
2026	J	`jnl`	Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks. Frontiers Bioinform. Islam Akef Ebeid, Haoteng Tang, Pengfei Gu
2026	J	`jnl`	Learning with Geometric Priors in U-Net Variants for Polyp Segmentation. CoRR Fabian Vazquez, Jose Angel Nuñez, Diego Adame, Alissen Moreno, Augustin Zhan, Huimin Li, Jinghao Yang, Haoteng Tang, Bin Fu, Pengfei Gu
2025	—	`conf`	A General Paradigm for Fine-Tuning Large Language Models in Alzheimer's Disease Diagnosis. AAAI Spring Symposia Marcus Zhan, Kun Zhao, Guodong Liu, Haoteng Tang
2025	B	`conf`	Adapting a Segmentation Foundation Model for Medical Image Classification. CBMS Pengfei Gu, Haoteng Tang, Islam Akef Ebeid, Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu, Danny Z. Chen
2025	J	`jnl`	Adapting a Segmentation Foundation Model for Medical Image Classification. CoRR Pengfei Gu, Haoteng Tang, Islam Akef Ebeid, Jose Angel Nuñez, Fabian Vazquez, Diego Adame, Marcus Zhan, Huimin Li, Bin Fu, Danny Z. Chen
2025	J	`jnl`	BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis. Neural Networks Kai Ye, Haoteng Tang, Siyuan Dai, Igor Fortel, Paul M. Thompson, Scott Mackin, Alex D. Leow, Heng Huang, Liang Zhan
2025	J	`jnl`	DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation. CoRR Kun Zhao, Bohao Yang, Chen Tang, Siyuan Dai, Haoteng Tang, Chenghua Lin, Liang Zhan
2025	J	`jnl`	Inferred global dense residue transition graphs from primary structure sequences enable protein interaction prediction via directed graph convolutional neural networks. CoRR Islam Akef Ebeid, Haoteng Tang, Pengfei Gu
2025	J	`jnl`	Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification. CoRR Pengfei Gu, Huimin Li, Haoteng Tang, Dongkuan Xu, Erik Enriquez, Dongchul Kim, Bin Fu, Danny Z. Chen
2025	—	`conf`	Quantitative Phosphocreatine Mapping with a Transformer-Based Regression Network. ICDM (Workshops) Qi Huang, Haoteng Tang, Han Tang, Caleb Berberet, Liya Dai, Thomas Schindler, Linda Peterson, Yang Yang, Yan Yan, Pamela Woodard, Jie Zheng
2025	J	`jnl`	R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression. CoRR 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
2025	—	`conf`	Selective Channel-Quality-Guided EEG Denoising for Brain Disorder Prediction. ICDM (Workshops) Yang Du, Siyuan Dai, Marcus Zhan, Guodong Liu, Paul M. Thompson, Heng Huang, Haoteng Tang
2025	—	`conf`	SynM-FPP: Few-Shot Learning on Synthmorph-Based Motion Correction Framework for Myocardial First-Pass Perfusion. ICDM (Workshops) Han Tang, Qi Huang, Haoteng Tang, Liya Dai, Caleb Berberet, Scott Bugenhagen, Thomas Schindler, Linda Peterson, Yang Yang, Yan Yan, Pamela Woodard, Jie Zheng
2025	B	`conf`	Topo-VM-UNetV2: Encoding Topology Into Vision Mamba UNet for Polyp Segmentation. CBMS Diego Adame, Jose Angel Nuñez, Fabian Vazquez, Nayeli Gurrola, Huimin Li, Haoteng Tang, Bin Fu, Pengfei Gu
2025	J	`jnl`	Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation. CoRR Diego Adame, Jose Angel Nuñez, Fabian Vazquez, Nayeli Gurrola, Huimin Li, Haoteng Tang, Bin Fu, Pengfei Gu
2025	—	`conf`	Who Matters More in Radiology Report Generation: Vision Encoders or Language Models? ICDM (Workshops) Kun Zhao, Yang Du, Rhianna Zhang, Liang Zhan, Dongkuan Xu, Pengfei Gu, Haoteng Tang
2025	—	`conf`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. ICDM (Workshops) Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making. CoRR Siyuan Dai, Lunxiao Li, Kun Zhao, Eardi Lila, Paul K. Crane, Heng Huang, Dongkuan Xu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging. CoRR Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan
2025	J	`jnl`	Zeus: zero-shot LLM instruction for union segmentation in multimodal medical imaging. Int. J. Mach. Learn. Cybern. Siyuan Dai, Kai Ye, Guodong Liu, Haoteng Tang, Liang Zhan
2024	J	`jnl`	Constrained Multiview Representation for Self-supervised Contrastive Learning. CoRR Siyuan Dai, Kai Ye, Kun Zhao, Ge Cui, Haoteng Tang, Liang Zhan
2024	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. IEEE Trans. Neural Networks Learn. Syst. Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2024	—	`conf`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. MICCAI (2) 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
2024	J	`jnl`	Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation. CoRR Haoteng Tang, Guodong Liu, Siyuan Dai, Kai Ye, Kun Zhao, Wenlu Wang, Carl Yang, Lifang He, Alex D. Leow, Paul Thompson, Heng Huang, Liang Zhan
2024	J	`jnl`	SouLLMate: An Adaptive LLM-Driven System for Advanced Mental Health Support and Assessment, Based on a Systematic Application Survey. CoRR Qiming Guo, Jinwen Tang, Wenbo Sun, Haoteng Tang, Yi Shang, Wenlu Wang
2024	J	`jnl`	SouLLMate: An Application Enhancing Diverse Mental Health Support with Adaptive LLMs, Prompt Engineering, and RAG Techniques. CoRR Qiming Guo, Jinwen Tang, Wenbo Sun, Haoteng Tang, Yi Shang, Wenlu Wang
2023	J	`jnl`	A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2023	—	`conf`	Bidirectional Mapping with Contrastive Learning on Multimodal Neuroimaging Data. MICCAI (3) Kai Ye, Haoteng Tang, Siyuan Dai, Lei Guo, Johnny Yuehan Liu, Yalin Wang, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	J	`jnl`	Signed graph representation learning for functional-to-structural brain network mapping. Medical Image Anal. Haoteng Tang, Lei Guo, Xiyao Fu, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2023	J	`jnl`	Spectrum-Enhanced TRCA (SE-TRCA): A novel approach for direction detection in SSVEP-based BCI. Comput. Biol. Medicine Amir Mohammad Mijani, Mohammad Norizadeh Cherloo, Haoteng Tang, Liang Zhan
2022	J	`jnl`	3D bi-directional transformer U-Net for medical image segmentation. Frontiers Big Data Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan
2022	J	`jnl`	Contrastive Brain Network Learning via Hierarchical Signed Graph Pooling Model. CoRR Haoteng Tang, Guixiang Ma, Lei Guo, Xiyao Fu, Heng Huang, Liang Zhan
2022	J	`jnl`	Functional2Structural: Cross-Modality Brain Networks Representation Learning. CoRR Haoteng Tang, Xiyao Fu, Lei Guo, Yalin Wang, Scott Mackin, Olusola Ajilore, Alex D. Leow, Paul M. Thompson, Heng Huang, Liang Zhan
2022	—	`conf`	Hierarchical Brain Embedding Using Explainable Graph Learning. ISBI Haoteng Tang, Lei Guo, Xiyao Fu, Benjamin Qu, Paul M. Thompson, Heng Huang, Liang Zhan
2021	J	`jnl`	Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan
2021	J	`jnl`	CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning. Neural Networks Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2021	J	`jnl`	PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia
2020	—	`conf`	A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. ISBI Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan
2020	J	`jnl`	Adversarial Attack on Hierarchical Graph Pooling Neural Networks. CoRR Haoteng Tang, Guixiang Ma, Yurong Chen, Lei Guo, Wei Wang, Bo Zeng, Liang Zhan
2020	J	`jnl`	CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning. CoRR Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan
2020	A*	`conf`	Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. KDD Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu
2019	—	`conf`	Classifying Stages of Mild Cognitive Impairment via Augmented Graph Embedding. MBIA/MFCA@MICCAI Haoteng Tang, Lei Guo, Emily L. Dennis, Paul M. Thompson, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	—	`conf`	Identifying Configurational Abnormalities in Alzheimer'S Disease Progression Using Multi-View Structure Connectome. ISBI Lei Guo, Haoteng Tang, Qi Wang, Emily L. Dennis, Dajiang Zhu, Heng Huang, Olusola Ajilore, Alex D. Leow, Liang Zhan
2019	J	`jnl`	The LONI QC System: A Semi-Automated, Web-Based and Freely-Available Environment for the Comprehensive Quality Control of Neuroimaging Data. Frontiers Neuroinformatics 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