Kun Zhao

Orcid: 0000-0002-2293-9209

Affiliations:
  • University of Pittsburgh, Department of Electrical and Computer Engineering, PA, USA
  • Wuhan University, School of Cyber Science and Engineering, Key Laboratory of Aerospace Information Security and Trusted Computing, Wuhan, China


According to our database1, Kun Zhao authored at least 22 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
FigEx2: Visual-Conditioned Panel Detection and Captioning for Scientific Compound Figures.
CoRR, January, 2026

Aligning Findings with Diagnosis: A Self-Consistent Reinforcement Learning Framework for Trustworthy Radiology Reporting.
CoRR, January, 2026

2025
R-GenIMA: Integrating Neuroimaging and Genetics with Interpretable Multimodal AI for Alzheimer's Disease Progression.
CoRR, December, 2025

DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation.
CoRR, June, 2025

GRAPHMOE: Amplifying Cognitive Depth of Mixture-of-Experts Network via Introducing Self-Rethinking Mechanism.
CoRR, January, 2025

Who Matters More in Radiology Report Generation: Vision Encoders or Language Models?
Proceedings of the IEEE International Conference on Data Mining, 2025

Pretraining a Generative AI Model on CBT Sessions to Emulate Human Therapist Strategies: A Study Using the APA Psyctherapy Database.
Proceedings of the IEEE International Conference on Data Mining, 2025

Why Text Prevails: Vision May Undermine Multimodal Medical Decision Making.
Proceedings of the IEEE International Conference on Data Mining, 2025

Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

A General Paradigm for Fine-Tuning Large Language Models in Alzheimer's Disease Diagnosis.
Proceedings of the 2025 AAAI Spring Symposium Series, 2025

2024
BioMNER: A Dataset for Biomedical Method Entity Recognition.
CoRR, 2024

SimsChat: A Customisable Persona-Driven Role-Playing Agent.
CoRR, 2024

Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation.
CoRR, 2024

Constrained Multiview Representation for Self-supervised Contrastive Learning.
CoRR, 2024

Interpretable Spatio-Temporal Embedding for Brain Structural-Effective Network with Ordinary Differential Equation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Effective Distillation of Table-based Reasoning Ability from LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Evaluating Open-Domain Dialogues in Latent Space with Next Sentence Prediction and Mutual Information.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021
A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation.
Entropy, 2021

A Latent Variable Model with Hierarchical Structure and GPT-2 for Long Text Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Graph Enhanced BERT for Stance-Aware Rumor Verification on Social Media.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021


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