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Conghao Wang

3 accepted papers

2025

Decoding Brain Structure and Gene Expression Interactions in Alzheimer's Disease Pathology

ICASSP 2025accepted

Although brain imaging has provided crucial insights into Alzheimer’s disease (AD) progression, its limitations in capturing molecular changes have motivated the need to integrate and interpret transcriptomic data, which can reveal early-stage molecular disruptions. By interpreting both structural a…

Cited by 0SourceScholar
2025

Generating Apoptosis-Inducing Anticancer Peptides Targeting BCL-xL Using Latent Diffusion Models on Small Datasets

ICASSP 2025accepted

The overexpression of B-cell lymphoma-extra large (BCL-xL), an anti-apoptotic protein, plays a pivotal role in various cancers by inhibiting apoptosis and promoting tumor progression. We introduce Latent Diffusion Model (LDM) specifically designed to generate apoptosis-inducing Anticancer Peptides (…

Cited by 0SourceScholar
2024

De Novo Molecule Generation with Graph Latent Diffusion Model

ICASSP 2024accepted

De novo generation of molecules is a crucial task in drug discovery. The blossom of deep learning-based generative models, especially diffusion models, has brought forth promising advancements in de novo drug design by finding optimal molecules in a directed manner. However, due to the complexity of…

Cited by 0SourceScholar