activity
20232026
most citedDYNA: Disease-Specific Language Model for Variant Pathogenicity

2 citations · 2 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

From Phase Grounding to Intelligent Surgical Narratives

Ethan Peterson, Huixin Zhan

Video surgery timelines are an important part of tool-assisted surgeries, as they allow surgeons to quickly focus on key parts of the procedure. Current methods involve the surgeon…

cs.CR2025

Biosecurity-Aware AI: Agentic Risk Auditing of Soft Prompt Attacks on ESM-Based Variant Predictors

Huixin Zhan

Genomic Foundation Models (GFMs), such as Evolutionary Scale Modeling (ESM), have demonstrated remarkable success in variant effect prediction. However, their security and robustne…

cs.CV2025

Agentic Surgical AI: Surgeon Style Fingerprinting and Privacy Risk Quantification via Discrete Diffusion in a Vision-Language-Action Framework

Huixin Zhan, Jason H. Moore

Surgeons exhibit distinct operating styles shaped by training, experience, and motor behavior-yet most surgical AI systems overlook this personalization signal. We propose a novel…

cs.CR2025

SafeGenes: Evaluating the Adversarial Robustness of Genomic Foundation Models

Huixin Zhan, Clovis Barbour, Jason H. Moore

Genomic Foundation Models (GFMs), such as Evolutionary Scale Modeling (ESM), have demonstrated significant success in variant effect prediction. However, their adversarial robustne…

q-bio.CB2024

Long-range gene expression prediction with token alignment of large language model

Edouardo Honig, Huixin Zhan, Ying Nian Wu +1

Gene expression is a cellular process that plays a fundamental role in human phenotypical variations and diseases. Despite advances of deep learning models for gene expression pred…

q-bio.GN2024★ 2 cited

DYNA: Disease-Specific Language Model for Variant Pathogenicity

Huixin Zhan, Zijun Zhang

Clinical variant classification of pathogenic versus benign genetic variants remains a challenge in clinical genetics. Recently, the proposition of genomic foundation models has im…

q-bio.GN2024

Efficient and Scalable Fine-Tune of Language Models for Genome Understanding

Huixin Zhan, Ying Nian Wu, Zijun Zhang

Although DNA foundation models have advanced the understanding of genomes, they still face significant challenges in the limited scale and diversity of genomic data. This limitatio…

q-bio.GN2023

ProPath: Disease-Specific Protein Language Model for Variant Pathogenicity

Huixin Zhan, Zijun Zhang

Clinical variant classification of pathogenic versus benign genetic variants remains a pivotal challenge in clinical genetics. Recently, the proposition of protein language models…