Jingrou Zhang — accepted AI-conference papers

2026

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

Yue Feng, Wei Ji, Qijia Lu, Jingrou Zhang, Fei Shen, Jingjing Li +6

ICML 2026poster

The rapid advancement of AI-driven video generation has transformed content creation, while simultaneously increasing the risk of misinformation through localized manipulations in long-form videos. Existing video forensic methods predominantly operate on short, independent clips, and thus fail to ca…

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2025

MoniTor: Exploiting Large Language Models with Instruction for Online Video Anomaly Detection

Shengtian Yang, Yue Feng, Yingshi Liu, Jingrou Zhang, Jie Qin

NeurIPS 2025poster

Video Anomaly Detection (VAD) aims to locate unusual activities or behaviors within videos. Recently, offline VAD has garnered substantial research attention, which has been invigorated by the progress in large language models (LLMs) and vision-language models (VLMs), offering the potential for a mo…

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