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Zongmin Li

4 accepted papers

2025

CDB: A Unified Framework for Hope Speech Detection Through Counterfactual, Desire and Belief

NAACL 2025findings

Computational modeling of user-generated desires on social media can significantly aid decision-makers across various fields. Initially explored through wish speech,this task has evolved into a nuanced examination of hope speech. To enhance understanding and detection, we propose a novel scheme root…

2024

Humans Need Context, What about Machines? Investigating Conversational Context in Abusive Language Detection

COLING 2024main

A crucial aspect in abusive language on social media platforms (toxicity, hate speech, harmful stereotypes, etc.) is its inherent contextual nature. In this paper, we focus on the role of conversational context in abusive language detection, one of the most “direct” forms of context in this domain,…

Cited by 3SourcePDFScholar
2024

Non-iterative Pyramid Network for Unsupervised Deformable Medical Image Registration

ICASSP 2024accepted

Large deformation is a key issue for deformable medical image registration. Decomposing a large deformation into several small deformations is an efficient solution. Current decomposition methods can be classed into iteration-based and non-iterative-based approaches. However, compared to iteration-b…

Cited by 0SourceScholar
2024

VMCC-NET: Uncovering Challenging Regions in Semi-Supervised Medical Image Segmentation with Voxel Mask Based Cyclic-Consistency Network

ICASSP 2024accepted

Semi-supervised learning has been widely used to train models by utilizing a small amount of labeled data and a large amount of unlabeled data, especially in medical image analysis. However, existing methods still do not fully reveal the complex regions (e.g., small branches or fuzzy edges). These c…

Cited by 0SourceScholar