Er Jin
This user has not added any information to their profile yet.
Contact Information:
Lehrstuhl Informatik 5 Building: E2 Room: Ahornstraße 55 52074 Aachen
I am a Ph.D. candidate advised by Prof. Dr. Stefan Decker (RWTH Aachen University) and co-supervised by Johannes Stegamier (Heinrich Heine University Düsseldorf). I have worked as a research assistant at the Chair of Computer Science i5 Information Systems and Databases (Informatik 5, DBIS) at RWTH Aachen University since July 2022. I received my master’s degree in Computer Engineering in 2022 from RWTH Aachen University.
My current research interests are in the field of Computer Vision, with a focus on Anomaly Detection and applications of Diffusion Models.
Selected Publications:
Yang Zhang*, Er Jin*, Yanfei Dong, Yixuan Wu, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi
Minimalist Concept Erasure in Generative Models
In: Forty-second International Conference on Machine Learning (ICML)
* Equal Contributed First Authors
Minimalist Concept Erasure in Generative Models
In: Forty-second International Conference on Machine Learning (ICML)
* Equal Contributed First Authors
Er Jin*, Qihui Feng*, Yongli Mou, Gerhard Lakemeyer, Stefan Decker, Oliver Simons and Johannes Stegmaier
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction
In: The 39th Annual AAAI Conference on Artificial Intelligence
LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction
In: The 39th Annual AAAI Conference on Artificial Intelligence
* Equal Contributed First Authors
Yang Zhang*, Er Jin*, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier and Kenji Kawaguchi
Effortless Efficiency: Low-Cost Pruning of Diffusion Models
In: SCOPE - ICLR 2025 Poster
Effortless Efficiency: Low-Cost Pruning of Diffusion Models
In: SCOPE - ICLR 2025 Poster