Jing Liu

Dr. Jing Liu is a researcher at Fudan University's Academy for Engineering and Technology specializing in computer vision and AI-driven video analysis. Their work focuses on developing advanced deep learning frameworks for video anomaly detection in surveillance systems. Research explores diffusion models, causal representation learning, and privacy-preserving techniques.

Primary research interests include video understanding through spatial-temporal modeling, unsupervised anomaly detection paradigms, and multimodal fusion techniques. Recent publications demonstrate innovative approaches to feature consistency learning and network architecture design.

Publications emphasize practical applications in security surveillance while addressing theoretical challenges in temporal modeling and causal inference. Collaborations include international researchers working on computer vision benchmarks and industrial applications.