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- Jie Ren - Google Scholar
Michigan State University - Cited by 773 - Trustworthy AI - Interpretable AI
- Yingqian Cui
Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
- Publications | Data Science and Engineering Lab - Michigan State University
Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
- Jie Ren | IEEE Xplore Author Details
Jie Ren received the B S degree in industrial engineering from Shanghai Jiao Tong University, Shanghai, China, in 2014, and the Ph D degree in industrial engineering from Florida State University, Tallahassee, FL, USA, in 2019
- Copyright Protection in Generative AI: A Technical Perspective
Generative AI has witnessed rapid advancement in recent years, expanding their capabilities to create synthesized content such as text, images, audio, and code The high fidelity and authenticity of contents generated by these Deep Generative Models (DGMs) have sparked significant copyright concerns
- Jie Rens research works | Michigan State University, MI (MSU) and . . .
Jie Ren's 3 research works with 3 citations and 66 reads, including: Uniting Heterogeneity, Inductiveness, and Efficiency for Graph Representation Learning (Extended Abstract)
- Jie Ren - Home - ACM Digital Library
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI July 2023ICML'23: Proceedings of the 40th International Conference on Machine Learning
- Jie Ren - Department of Computer Science and Engineering . . .
Jie Ren, Ph D, Department of Computer Science and Engineering, Michigan State University;ByteDance, My research interests lie in Trustworthy and Interpretable AI, with a focus on data and model protection in Generative AI
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