Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Yue Feng

Yue Feng

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Vision×1NLP×1

Frequent co-authors

Jingjing Li1×
Qijia Lu1×
Wei Ji1×
Jingrou Zhang1×
Fei Shen1×
Xiao Li1×

Research Timeline

2026
TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

TRACE proposes a novel method to mitigate catastrophic forgetting in continual LLM fine-tuning by identifying and isolating a small, task-specific subset of essential parameters for each task.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

This paper addresses the challenge of detecting and explaining AI-manipulated segments within long, untrimmed videos by proposing a new benchmark and a coarse-to-fine forensic detection framework.

Highlighted terms show continued research focus across papers

Papers

cs.CVRecentJun 1, 2026

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

Yue Feng, Jingjing Li, Qijia Lu, Wei Ji +8 more

This paper addresses the challenge of detecting and explaining AI-manipulated segments within long, untrimmed videos by proposing a new benchmark and a coarse-to-fine forensic detection framework.

View →
cs.CLRecentMay 29, 2026

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

Xiaosong Han, Ke Chen, Xindi Dai, Di Liang +6 more

TRACE proposes a novel method to mitigate catastrophic forgetting in continual LLM fine-tuning by identifying and isolating a small, task-specific subset of essential parameters for each task.

View →