Pengyu Hong

Le Quy Don Technical University — VN

Computer Science · Physical Sciences

31h-index3.6kcitations160works2.42yr avg
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Research Topics

Computational Drug Discovery Methods(14), Face recognition and analysis(14), Machine Learning in Materials Science(14), Glycosylation and Glycoproteins Research(12), Topic Modeling(10)

Publications160 total

AI-assisted literature screening: A hybrid approach using large language models and retrieval-augmented generation
International Journal of Medical Informatics·2025Open Access
EB-UNet++: An enhanced crack segmentation network combining EfficientNet-B2 and UNet++ with boundary extraction module
Journal of Military Science and Technology·2025· 1 citedOpen Access
Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review
International Journal of Medical Informatics·2025· 6 citedOpen Access
Cross-Modality Controlled Molecule Generation with Diffusion Language Model
arXiv (Cornell University)·2025Open Access
Multimodal fusion with relational learning for molecular property prediction
Communications Chemistry·2025· 4 citedOpen Access
Doc2Agent: Scalable Generation of Tool-Using Agents from API Documentation
arXiv (Cornell University)·2025Open Access
Advancing Drug Discovery with Enhanced Chemical Understanding via Asymmetric Contrastive Multimodal Learning
Journal of Chemical Information and Modeling·2025· 3 citedOpen Access
2DNMRGym: An Annotated Experimental Dataset for Atom-Level Molecular Representation Learning in 2D NMR via Surrogate Supervision
arXiv (Cornell University)·2025· 2 citedOpen Access
Automated operation method for electrical switchgear based on the integration of visual recognition and force perception
Industrial Robot the international journal of robotics research and application·2025
TransPeakNet for solvent-aware 2D NMR prediction via multi-task pre-training and unsupervised learning
Communications Chemistry·2025· 7 citedOpen Access
Glycan mixture analysis by kernel component composition for matrix factorization
Analytical and Bioanalytical Chemistry·2025Open Access
ToolFactory: Automating Tool Generation by Leveraging LLM to Understand REST API Documentations
arXiv (Cornell University)·2025Open Access
Multiple Abstraction Level Retrieve Augment Generation
arXiv (Cornell University)·2025Open Access
Glycan Mixture Analysis by Kernel Component Composition for Matrix Factorization
2025Open Access
Cycling Molecular Assemblies for Selective Cancer Cell Golgi Disruption
2025· 4 citedOpen Access
Automation Assisted Systematic Investigation on Zif Photonic Crystals: From Microscopic Mechanism to the Detection of Organophosphorus Compounds
SSRN Electronic Journal·2025Open Access
Uncertainty Quantification for Clinical Outcome Predictions with (Large) Language Models
2025· 2 citedOpen Access
Feature mining for thermoelectric materials based on interpretable machine learning
Nanoscale·2024· 2 cited
Glycan Mixture Analysis by Kernel Component Composition for Matrix Factorization
2024Open Access
Theoretical Corrections and the Leveraging of Reinforcement Learning to Enhance Triangle Attack
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Thomas S. Huang(8), Norbert Perrimon(7), Xiaoyun Sun(4), Katharine J. Sepp(4), Cheng Lin(4), Chaohong Wu(4), Meghana Kulkarni(3), Kun Li(3), Arunachalam Vinayagam(3), Long Sha(3), John M. Asara(3), Murat Karabacak(3), Long Li(3), Jeffrey N. Agar(3), Joyce Chai(3), Michelle X. Zhou(3), Catherine E. Costello(3), Joost Schulte(3), J. Troy Littleton(3), Hongfu Liu(3)