Hao Zhu

ToxiVerse: A Public Platform for Chemical Toxicity Data Sharing and Customizable Predictive Modeling

ToxiVerse provides a public platform for chemical toxicity data sharing and predictive modeling using curated datasets and machine learning tools.

vToxiNet: a biologically constrained deep learning framework for interpretable prediction of drug-induced hepatotoxicity

vToxiNet predicts drug-induced hepatotoxicity using a biologically constrained deep learning framework, achieving robust performance and mechanistic interpretability.

Impaired motor-to-sensory transformation mediates auditory hallucinations

The paper investigates how impaired motor-to-sensory transformation contributes to auditory hallucinations by analyzing EEG data from schizophrenic patients with and without hallucinations.

Multi-scale predictions distinctively modulate tone perception in schizophrenia patients with auditory verbal hallucinations

The paper investigates how multi-scale predictions modulate tone perception in schizophrenia patients with auditory verbal hallucinations, finding distinct effects in patients versus healthy controls.

Corollary Discharge versus Efference Copy: Distinct Neural Signals in Speech Preparation Differentially Modulate Auditory Responses

The paper investigates how different motor signals during speech preparation modulate auditory responses, finding that preparation without linguistic content suppresses all speech sounds, while preparing a syllable enhances responses to that syllable.

Revealing the Temporal Dynamics in Non-invasive Electrophysiological recordings with Topography-based Analyses

The paper develops a framework for analyzing neural dynamics in EEG data using topographic analysis, providing automated temporal indices and reducing cognitive noise.