Papers by Zhedong Zheng

3 papers
When Words Smile: Generating Diverse Emotional Facial Expressions from Text (2025.emnlp-main)

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Challenge: Existing systems that generate only coarse facial expressions ignore the rich and dynamic nature of face-to-face communication.
Approach: They propose an end-to-end text-to expression model that explicitly focuses on emotional dynamics.
Outcome: The proposed model outperforms baselines on 15,000 text–3D expression pairs on a large-scale dataset.
Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection (2026.acl-long)

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Challenge: Existing methods for manipulation detection and grounding focus on manipulator type classification under result-oriented supervision.
Approach: They propose a reasoning-driven framework that shifts learning from outcome fitting to process modeling.
Outcome: The proposed framework achieves state-of-the-art with superior generalization on large-scale datasets.
Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baseline (2026.acl-long)

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Challenge: Existing facial forgery detection methods focus on binary classification or pixel-level localization, providing little semantic insight into the nature of the manipulation.
Approach: They propose a multimodal task that localizes forged regions and generates natural language explanations grounded in editing process.
Outcome: The proposed task localizes forged regions and generates natural language explanations grounded in editing process.

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