Jiahui Chen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
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Biography and Research Information
OverviewAI-generated summary
Jiahui Chen, an Assistant Professor at the University of Arkansas at Fayetteville, leads a research group focused on advanced computational methods and their applications across various scientific domains. Chen's work leverages machine learning and deep learning techniques to address complex problems, as evidenced by recent publications exploring neural networks for ultrasonic data analysis, image generation, and 3D scene stylization. Funded by the National Science Foundation (NSF), Chen has received two awards totaling $256,771. One grant supports research into "Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms," indicating a focus on computational biology and molecular dynamics. Another NSF grant, for $24,000, supported participation in the 10th SIAM Central States Section Annual Meeting.
Chen's research group maintains an active lab website, highlighting ongoing projects and collaborations. Key collaborators include Fauzia Haque and Soheil Jamali, both from the University of Arkansas at Fayetteville, with whom Chen has co-authored publications. The group's recent publications span topics from medical imaging and natural language processing to computational physics and materials science, demonstrating a broad interdisciplinary approach. Chen's scholarship metrics include an h-index of 1, with 6 total publications and 12 total citations.
Metrics
- h-index: 32
- Publications: 130
- Citations: 6,839
Selected Publications
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Drug Resistance Predictions Based on a Directed Flag Transformer (2025)
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Dimensionality reduction for k-means clustering of large-scale influenza mutation datasets. (2025)
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BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach (2025)
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Preventing future zoonosis: SARS-CoV-2 mutations enhance human–animal cross-transmission (2024)
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Integration of persistent Laplacian and pre-trained transformer for protein solubility changes upon mutation (2024)
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Topological deep learning based deep mutational scanning (2023)
Federal Grants 2 $256,771 total
Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms
Collaboration Network
Top Collaborators
- Augmented Conditioning Is Enough For Effective Training Image Generation
- Multi-Modal Language Models as Text-to-Image Model Evaluators
- wUnet: A new network used for ultrasonic tongue contour extraction
- wUnet: A new network used for ultrasonic tongue contour extraction
- wUnet: A new network used for ultrasonic tongue contour extraction
- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model
- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model
- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model
- ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model
- Augmented Conditioning Is Enough For Effective Training Image Generation
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
- BPS2025 - Free energy calculations using generative models trained based on molecular dynamics trajectories: A diffusion model approach
- Low-Overlap Point Cloud Registration by Fusing Attention to Deep Spatial Features
- Low-Overlap Point Cloud Registration by Fusing Attention to Deep Spatial Features
- Multi-Modal Language Models as Text-to-Image Model Evaluators
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