activity
20242026
most citedMMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SD2026

Frame-Wise Streaming for Efficient Learned Speech Compression

Yuhan Liu, Jun Xu, Fengxi Zhang +2

Speech compression is increasingly important in scenarios such as real-time and satellite communication. Neural codecs have shown superior Rate-Distortion (RD) performance over tra…

cs.SD2026

Temporal Contrastive Decoding: A Training-Free Method for Large Audio-Language Models

Yanda Li, Yuhan Liu, Zirui Song +3

Large audio-language models (LALMs) generalize across speech, sound, and music, but unified decoders can exhibit a \emph{temporal smoothing bias}: transient acoustic cues may be un…

cs.AI2026

Exposing Cross-Modal Consistency for Fake News Detection in Short-Form Videos

Chong Tian, Yu Wang, Chenxu Yang +5

Short-form video platforms are major channels for news but also fertile ground for multimodal misinformation where each modality appears plausible alone yet cross-modal relationshi…

eess.AS2025

Rate-Aware Learned Speech Compression

Jun Xu, Zhengxue Cheng, Guangchuan Chi +3

The rapid rise of real-time communication and large language models has significantly increased the importance of speech compression. Deep learning-based neural speech codecs have…

cs.AI2024★ 1 cited

MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts

Zinan Zeng, Sen Ye, Zijian Cai +4

Online movie review websites are valuable for information and discussion about movies. However, the massive spoiler reviews detract from the movie-watching experience, making spoil…