Liting Gao — accepted AI-conference papers

2026

RFM-EDITING: RECTIFIED FLOW MATCHING FOR TEXT-GUIDED AUDIO EDITING

Liting Gao, Zhenbo Li, Shubin Zhang, Wenwu Wang

ICASSP 2026poster

Diffusion models have shown remarkable progress in text-to-audio generation. However, text-guided audio editing remains in its early stages. This task focuses on modifying the target content within an audio signal while preserving the rest, thus demanding precise localization and faithful editing ac…

Cited by 7 Source ↗PDF ↗Scholar ↗

2026

Teacher-Guided Pseudo Supervision and Cross-Modal Alignment for Audio-Visual Video Parsing

Yaru Chen, Ruohao Guo, Liting Gao, Zhenbo Li, Wenwu Wang

ICASSP 2026poster

Weakly-supervised audio-visual video parsing (AVVP) seeks to detect audible, visible, and audio-visual events without temporal annotations. Previous work has emphasized refining global predictions through contrastive or collaborative learning, but neglected stable segment-level supervision and class…

Cited by 0 Source ↗PDF ↗Scholar ↗