Sai Cheng — accepted AI-conference papers

2026

Breaking the Trade-off: Orthogonal Semantic Decoupling for Generalizable and Fair Deepfake Detection

Zhongyu Shi, Siyu Peng, Yimin Kang, Ruiyang Xia, Yizhi Fang, Weiping Wen +2

IJCAI 2026

Deepfake detection faces dual challenges in real-world deployment: cross-domain generalization and demographic fairness. Existing approaches often struggle with a trade-off between these goals. Generalization-oriented detectors can over-rely on demographic shortcuts, while fairness constraints tend

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2026

PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities

Jiajun Chen, Sai Cheng, Yuan Yutao, YiRui Zhang, Haitao Yuan, Peng Peng +1

AAAI 2026technical

Multimodal models integrating natural language and visual information have substantially improved emotion recognition performance. However, their effectiveness significantly declines in real-world situations where certain modalities are missing or unavailable. This degradation primarily stems from i

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