About Me
I'm a machine learning research associate at the Centre for AI Fundamentals, University of Manchester, working under Prof. Samuel Kaski. I completed my PhD at the University of Cambridge under Dr. Damon Wischik. My educational background includes a BSc in Computer Science and Mathematics from Manchester, followed by an MPhil in Computer Science and an MASt in Mathematics from Cambridge. For a complete overview of my academic and professional journey, please refer to my CV.
I'm passionate about learning and creative problem-solving. I'm always open to collaboration - feel free to reach out to me at az381 [at] cantab [dot] ac [dot] uk.
Selected Publications
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
[paper] [code] [poster]
Andi Zhang, Tim Z. Xiao, Weiyang Liu, Robert Bamler, Damon Wischik.
AISTATS 2025
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
[paper] [code] [poster]
Andi Zhang, Mingtian Zhang, Damon Wischik.
NeurIPS 2024
Falsehoods that ML researchers believe about OOD detection
[paper] [poster]
Andi Zhang, Damon Wischik.
NeurIPS 2022 Workshop
On the Out-of-Distribution Generalization of Probabilistic Image Modelling
[paper] [code]
Mingtian Zhang*, Andi Zhang*, Steven McDonagh.
NeurIPS 2021