activity
20232026
collaborators

12 papers

cs.LG2026

CircuitGate: Logic-Consistent Circuit-Level Functional Modeling for And-Inverter Graphs

Qifan Zhang, Ruijie Li, Fangzhou Zhang +6

And-Inverter Graphs (AIGs) are fundamental representations for logic synthesis and verification in Electronic Design Automation (EDA). As structured representations of complex digi…

q-bio.NC2026

Imputation-free transformer learning enables robust Alzheimer's disease prediction and calibrated uncertainty quantification across heterogeneous clinical cohorts

Christelle Schneuwly Diaz, Narmina Baghirova, Duy-Thanh Vu +4

Accurate diagnostic classification and disease-severity prediction for Alzheimer's disease are hampered by the incompleteness and heterogeneity of real-world clinical data. Left un…

stat.ME2026

High-dimensional Many-to-many-to-many Mediation Analysis

Tien Dat Nguyen, Trung Khang Tran, Cong Khanh Truong +3

We study high-dimensional mediation analysis in which exposures, mediators, and outcomes are all multivariate, and both exposures and mediators may be high-dimensional. We formaliz…

cs.CL2026

XAI-enhanced Comparative Opinion Mining via Aspect-based Scoring and Semantic Reasoning

Ngoc-Quang Le, T. Thanh-Lam Nguyen, Quoc-Trung Phu +3

Comparative opinion mining involves comparing products from different reviews. However, transformer-based models designed for this task often lack transparency, which can adversely…

cs.LG2025

Physics-Informed Neural Koopman Machine for Interpretable Longitudinal Personalized Alzheimer's Disease Forecasting

Georgi Hrusanov, Duy-Thanh Vu, Duy-Cat Can +6

Early forecasting of individual cognitive decline in Alzheimer's disease (AD) is central to disease evaluation and management. Despite advances, it is as of yet challenging for exi…

cs.LG2025

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions

Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can +3

Understanding the interaction between different drugs (drug-drug interaction or DDI) is critical for ensuring patient safety and optimizing therapeutic outcomes. Existing DDI datas…

cs.CV2025

REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis

Duy-Cat Can, Quang-Huy Tang, Huong Ha +2

Timely and accurate diagnosis of neurodegenerative disorders, such as Alzheimer's disease, is central to disease management. Existing deep learning models require large-scale annot…

cs.LG2025

Explainable Graph-theoretical Machine Learning with Application to Alzheimer's Disease Prediction

Narmina Baghirova, Duy-Thanh Vũ, Duy-Cat Can +6

Dementia affects over 55 million people worldwide, projected to reach 139 million by 2050, with Alzheimer's disease (AD) accounting for 60-70% of cases. AD is associated with disru…

cs.LG2025

OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values

Christelle Schneuwly Diaz, Duy-Thanh Vu, Julien Bodelet +7

Alzheimer's disease, a neurodegenerative disorder, is associated with neural, genetic, and proteomic factors while affecting multiple cognitive and behavioral faculties. Traditiona…

cs.CV2025

VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis

Duy-Cat Can, Linh D. Dang, Quang-Huy Tang +5

Objective: Assessing Alzheimer's disease (AD) using high-dimensional radiology images is clinically important but challenging. Although Artificial Intelligence (AI) has advanced AD…

cs.CL2024

Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews

Hoang-Quynh Le, Duy-Cat Can, Khanh-Vinh Nguyen +1

This paper presents a comprehensive overview of the Comparative Opinion Mining from Vietnamese Product Reviews shared task (ComOM), held as part of the 10 International Work…

cs.CL2023

Overview of the VLSP 2022 -- Abmusu Shared Task: A Data Challenge for Vietnamese Abstractive Multi-document Summarization

Mai-Vu Tran, Hoang-Quynh Le, Duy-Cat Can +1

This paper reports the overview of the VLSP 2022 - Vietnamese abstractive multi-document summarization (Abmusu) shared task for Vietnamese News. This task is hosted at the 9…