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Zhe Quan

3 accepted papers

2025

Neural Causal Graph for Interpretable and Intervenable Classification

ICLR 2025poster

Advancements in neural networks have significantly enhanced the performance of classification models, achieving remarkable accuracy across diverse datasets. However, these models often lack transparency and do not support interactive reasoning with human users, which are essential attributes for app…

Cited by 0SourcePDFScholar
2020

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction

IJCAI 2020poster

Drug-drug interaction (DDI) prediction is a challenging problem in pharmacology and clinical application, and effectively identifying potential DDIs during clinical trials is critical for patients and society. Most of existing computational models with AI techniques often concentrate on integrating…

2019

Iteratively Reweighted Penalty Alternating Minimization Methods with Continuation for Image Deblurring

ICASSP 2019accepted

In this paper, we consider a class of nonconvex problems with linear constraints appearing frequently in the area of image processing. We solve this problem by the penalty method and propose the iteratively reweighted alternating minimization algorithm. To speed up the algorithm, we also apply the c…

Cited by 0SourceScholar