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Kunyu Feng

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Preprint Sep 2026

GenTraceBench: A Benchmark for Tracing Audio Deepfakes Across Pre- and Post-training Stages

Modern text-to-speech (TTS) systems are rarely deployed as unchanged pre-trained models. They are often adapted through supervised fine-tuning (SFT) or preference optimization such as DPO and GRPO. This raises a practical question for audio deepfake forensics: do fingerprints learned from a foundation generator remain...

Li Wang, Kun-Yu Feng, Wan Lin et al. · 0 citations
#machine learning Preprint Oct 2026

AURAL: Adaptive Latent Reasoning with Joint Chunk for Speech Language Models

Model intelligence and fast response jointly shape the quality of interaction with speech language models, yet remain difficult to achieve together. Explicit chain-of-thought (CoT) improves reasoning and audio understanding, but generating intermediate reasoning tokens delays responses. Describing fine-grained acoustic...

Yu-Xiang Wang, Kun-Yu Feng, Yuan-Cheng Wang et al. · 0 citations
Jul 2026

Teffic-Audio: Tell Fact from Fiction

Speech deepfake detection has expanded in scope with increasingly heterogeneous spoofing mechanisms, including speech synthesis, voice conversion, vocoder reconstruction, and neural-codec resynthesis. The resulting spoofing artifacts can be further shaped by variability in source speech, recording environments, and tra...

Wan Lin, Li Wang, Jindong Wang et al. · 1 citation
#machine learning Preprint Sep 2026

RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory

RecurTrace introduces Loop Memory Attention, which lets each looped layer attend to its own states from previous iterations along the loop-time axis, so the model can revisit earlier computations instead of relying on the latest state alone.

Yu-Xiang Wang, Kun-Yu Feng, Ying-Da Shen et al. · 3 citations
Preprint Aug 2026

MSEditor: Toward Consistent Multi-Shot Video Editing

MSEditor is proposed, the first framework designed specifically for consistent multi-shot video editing, which significantly outperforms existing methods on the authors' curated multi-shot video editing benchmark in terms of identity preservation, temporal stability, and overall visual quality.

Kun-Yu Feng, Yue Ma, Bing-Yuan Wang et al. · 1 citation

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