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Hao-Kai Gao

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#machine learning Preprint Sep 2026

Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis

This work introduces an adaptive variational information bottleneck to model modality-wise uncertainty and perform quality-aware information compression, thereby suppressing redundant noise in unreliable modalities and designs a reliability-aware cross-sample enhancement strategy that retrieves high-confidence, semanti...

Meng-Hua Jiang, Hao-Kai Gao, Xian-Gui Kang et al. · 0 citations
Aug 2026

Mitigating unreliable syntactic dependencies in aspect-based sentiment analysis via sentiment-aware graph anomaly detection and mix convolution.

A sentiment-aware graph anomaly detection framework that integrates graph anomaly detection with a sentiment consistency evaluation mechanism to eliminate misleading dependencies and preserve key sentiment information from the original graph and can be seamlessly incorporated into other graph-based ABSA models to enhan...

Jiawen Wang, Zhaojian Cui, Yu-Bing Li et al. · 0 citations
Open access Jul 2026

SPARK-KT: Illuminating Student Cognition through Stepwise Prerequisite-Aware Reasoning in Knowledge Tracing

SPARK-KT (Stepwise Prerequisite-Aware Reasoning for Knowledge Tracing) is introduced, a framework that reconceptualizes knowledge tracing through the lens of cognitive dependency structures and improves predictive accuracy while providing fine-grained interpretability.

Xuantao Yang, Haokai Gao, Zhaojian Cui et al. · 0 citations

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