Minghao Wang — accepted AI-conference papers

2026

Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method

Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu +2

AAAI 2026technical

Developing Medical AI relies on large datasets and easily suffers from data scarcity. Generative data augmentation (GDA) using AI generative models offers a solution to synthesize realistic medical images. However, the bias in GDA is often underestimated in medical domains, with concerns about the r

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2025

Mental-Perceiver: Audio-Textual Multi-Modal Learning for Estimating Mental Disorders

Jinghui Qin, Changsong Liu, Tianchi Tang, Dahuang Liu, Minghao Wang, Qianying Huang +1

AAAI 2025technical

Mental disorders, such as anxiety and depression, have become a global concern that affects people of all ages. Early detection and treatment are crucial to mitigate the negative effects these disorders can have on daily life. Although AI-based detection methods show promise, progress is hindered by…

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