Zihao Wu

Orcid: 0000-0001-7483-6570

Affiliations:
  • University of Georgia, School of Computing, Athens, GA, USA


According to our database1, Zihao Wu authored at least 77 papers between 2022 and 2025.

Collaborative distances:

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Bibliography

2025
Learning lifespan brain anatomical correspondence via cortical developmental continuity transfer.
Medical Image Anal., 2025

2024
An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT.
IEEE Trans. Artif. Intell., August, 2024

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst., April, 2024

Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer.
Inf. Fusion, April, 2024

Mask-guided BERT for few-shot text classification.
Neurocomputing, 2024

Evaluation of OpenAI o1: Opportunities and Challenges of AGI.
CoRR, 2024

HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning.
CoRR, 2024

GP-GPT: Large Language Model for Gene-Phenotype Mapping.
CoRR, 2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery.
CoRR, 2024

MGH Radiology Llama: A Llama 3 70B Model for Radiology.
CoRR, 2024

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
CoRR, 2024

Brain Dialogue Interface (BDI): A User-Friendly fMRI Model for Interactive Brain Decoding.
CoRR, 2024

Eye-gaze Guided Multi-modal Alignment Framework for Radiology.
CoRR, 2024

ALDM-Grasping: Diffusion-aided Zero-Shot Sim-to-Real Transfer for Robot Grasping.
CoRR, 2024

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024

LLMs for Coding and Robotics Education.
CoRR, 2024

Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.
CoRR, 2024

Revolutionizing Finance with LLMs: An Overview of Applications and Insights.
CoRR, 2024

Large Language Models for Robotics: Opportunities, Challenges, and Perspectives.
CoRR, 2024

Understanding LLMs: A Comprehensive Overview from Training to Inference.
CoRR, 2024

An innovative segment anything model for precision poultry monitoring.
Comput. Electron. Agric., 2024

CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
A generic framework for embedding human brain function with temporally correlated autoencoder.
Medical Image Anal., October, 2023

Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.
IEEE Robotics Autom. Lett., May, 2023

Digital Twin (DT)-CycleGAN: Enabling Zero-Shot Sim-to-Real Transfer of Visual Grasping Models.
Dataset, March, 2023

An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning.
Eng. Appl. Artif. Intell., 2023

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications.
CoRR, 2023

Multimodality of AI for Education: Towards Artificial General Intelligence.
CoRR, 2023

Holistic Evaluation of GPT-4V for Biomedical Imaging.
CoRR, 2023

Ophtha-LLaMA2: A Large Language Model for Ophthalmology.
CoRR, 2023

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions.
CoRR, 2023

Evaluating Large Language Models in Ophthalmology.
CoRR, 2023

Evaluating multiple large language models in pediatric ophthalmology.
CoRR, 2023

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities.
CoRR, 2023

DT/MARS-CycleGAN: Improved Object Detection for MARS Phenotyping Robot.
CoRR, 2023

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data.
CoRR, 2023

PolicyGPT: Automated Analysis of Privacy Policies with Large Language Models.
CoRR, 2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR, 2023

Radiology-Llama2: Best-in-Class Large Language Model for Radiology.
CoRR, 2023

Evaluating Large Language Models for Radiology Natural Language Processing.
CoRR, 2023

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.
CoRR, 2023

PharmacyGPT: The AI Pharmacist.
CoRR, 2023

Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification.
CoRR, 2023

Exploring Multimodal Approaches for Alzheimer's Disease Detection Using Patient Speech Transcript and Audio Data.
CoRR, 2023

SAMAug: Point Prompt Augmentation for Segment Anything Model.
CoRR, 2023

Review of Large Vision Models and Visual Prompt Engineering.
CoRR, 2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
CoRR, 2023

Segment Anything Model (SAM) for Radiation Oncology.
CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.
CoRR, 2023

Radiology-GPT: A Large Language Model for Radiology.
CoRR, 2023

Artificial General Intelligence for Medical Imaging.
CoRR, 2023

SAM for Poultry Science.
CoRR, 2023

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT.
CoRR, 2023

Prompt Engineering for Healthcare: Methodologies and Applications.
CoRR, 2023

Differentiate ChatGPT-generated and Human-written Medical Texts.
CoRR, 2023

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT.
CoRR, 2023

CP-CNN: Core-Periphery Principle Guided Convolutional Neural Network.
CoRR, 2023

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task.
CoRR, 2023

ImpressionGPT: An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT.
CoRR, 2023

Summary of ChatGPT/GPT-4 Research and Perspective Towards the Future of Large Language Models.
CoRR, 2023

When Brain-inspired AI Meets AGI.
CoRR, 2023

Core-Periphery Principle Guided Redesign of Self-Attention in Transformers.
CoRR, 2023

DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4.
CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 2023

Tailoring Large Language Models to Radiology: A Preliminary Approach to LLM Adaptation for a Highly Specialized Domain.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Multimodal Approaches for Alzheimer's Detection Using Patients' Speech and Transcript.
Proceedings of the Brain Informatics - 16th International Conference, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Coupling Artificial Neurons in BERT and Biological Neurons in the Human Brain.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Eye-gaze-guided Vision Transformer for Rectifying Shortcut Learning.
CoRR, 2022

Mask-guided Vision Transformer (MG-ViT) for Few-Shot Learning.
CoRR, 2022

Embedding Human Brain Function via Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022


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