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Zhenhua Liang

2 accepted papers

2025

HyperSDT: HyperNetwork Slide Decision Tree for Interpretable Tabular Learning

ICASSP 2025accepted

Recently, substantial progress has been achieved in leveraging deep learning models for tabular data learning. However, despite significant advancements, the predominant focus of these endeavors has been on augmenting the performance of contemporary deep learning models. Consequently, the interpreta…

Cited by 0SourceScholar
2025

Multi-layer Network Disintegration via Deep Reinforcement Learning

ICASSP 2025accepted

Multi-layer networks (MLN) effectively model interactions across layers, and the network disintegration (ND) problem yields significant importance in the analysis of MLN. Unfortunately, previous advances in ND for single-layer networks exhibits inefficiency and lack of scalability when extended to M…

Cited by 0SourceScholar