Portrait
Jialing Cai
Ph.D. Student
Computer Science and Engineering
University at Buffalo
About Me

I am a Ph.D. student in Computer Science and Engineering at the University at Buffalo, advised by Prof. Siwei Lyu. My research focuses on AI-generated and manipulated media across images, videos, and audio, with an emphasis on multimedia forensics, interpretable detection, and real-world case analysis.

Before my Ph.D., I earned my BA/MS in Econometrics and Quantitative Economics from the University at Buffalo.

Research interests:

  • AI-generated and manipulated media analysis
  • Multimodal media forensics across image, video, and audio
  • Interpretable detection and human-AI forensic reasoning
  • AI-generated music, speech, and audio authenticity
Education
  • University at Buffalo
    Ph.D. in Computer Science and Engineering
  • University at Buffalo
    BA/MS in Econometrics and Quantitative Economics
Experience
  • GE Aerospace Research
    Research Intern, Knowledge Discovery & High Assurance Systems
    Summer 2026
News
2026
Starting my research internship at GE Aerospace Research (Knowledge Discovery & High Assurance Systems).
Summer
2025
Our survey on tools and real-world cases of AI-generated media was accepted to AVSS 2025.
Selected Publications (view all )
A Landscape Survey of Tools and Real-World Cases of AI-Generated Media
A Landscape Survey of Tools and Real-World Cases of AI-Generated Media

Jialing Cai, Chengzhe Sun, Soumyya Kanti Datta, Siwei Lyu

IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS) 2025

A Landscape Survey of Tools and Real-World Cases of AI-Generated Media

Jialing Cai, Chengzhe Sun, Soumyya Kanti Datta, Siwei Lyu

IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS) 2025

ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping
ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping

Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu

Advances in Neural Information Processing Systems (NeurIPS) 2024

Paper Project Page

ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping

Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu

Advances in Neural Information Processing Systems (NeurIPS) 2024

Paper Project Page

Exposing Text-Image Inconsistency Using Diffusion Models
Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu

International Conference on Learning Representations (ICLR) 2024

Paper

Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu

International Conference on Learning Representations (ICLR) 2024

Paper

GLFF: Global and Local Feature Fusion for Face Forgery Detection
GLFF: Global and Local Feature Fusion for Face Forgery Detection

Yan Ju, Shan Jia, Jialing Cai, Siwei Lyu

IEEE Transactions on Multimedia (TMM) 2023

Paper

GLFF: Global and Local Feature Fusion for Face Forgery Detection

Yan Ju, Shan Jia, Jialing Cai, Siwei Lyu

IEEE Transactions on Multimedia (TMM) 2023

Paper

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics
AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023

Paper

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Shan Jia, Mingzhen Huang, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu

IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023

Paper

All publications