Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. - Fuhui Tang; Chenhan Jiang; Dafeng Wei; Hang Xu 004; Andi Zhang 001; Wei Zhang 196; Hongtao Lu 001; Chunjing Xu (BMVC, 2021)

Measuring Uncertainty in Signal Fingerprinting with Gaussian Processes Going Deep. - Ran Guan; Andi Zhang 001; Mengchao Li; Yongliang Wang (IPIN, 2021)

On the Out-of-distribution Generalization of Probabilistic Image Modelling. - Mingtian Zhang; Andi Zhang 001; Steven McDonagh (NeurIPS, 2021)

Out-of-Distribution Detection with Class Ratio Estimation. - Mingtian Zhang; Andi Zhang 001; Tim Z. Xiao; Yitong Sun; Steven McDonagh (CoRR, 2022)

Falsehoods that ML researchers believe about OOD detection. - Andi Zhang 001; Damon Wischik (CoRR, 2022)

SR-OOD: Out-of-Distribution Detection via Sample Repairing. - Rui Sun; Andi Zhang 001; Haiming Zhang 001; Yao Zhu; Ruimao Zhang; Zhen Li 026 (CoRR, 2023)

Constructing Semantics-Aware Adversarial Examples with Probabilistic Perspective. - Andi Zhang 001; Damon Wischik (CoRR, 2023)

Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective. - Andi Zhang 001; Mingtian Zhang; Damon Wischik (NeurIPS, 2024)

Diffusion Model With Optimal Covariance Matching. - Zijing Ou; Mingtian Zhang; Andi Zhang 001; Tim Z. Xiao; Yingzhen Li; David Barber (CoRR, 2024)

Learning to Discover Generalized Facial Expressions. - Tingzhang Luo; Yichao Liu; Yuanyuan Liu; Andi Zhang 001; Xin Wang; Chang Tang; Zhe Chen (CoRR, 2024)

LoKO: Low-Rank Kalman Optimizer for Online Fine-Tuning of Large Models. - Hossein Abdi; Mingfei Sun 001; Andi Zhang 001; Samuel Kaski; Wei Pan 004 (CoRR, 2024)

Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector. - Andi Zhang 001; Tim Z. Xiao; Weiyang Liu; Robert Bamler; Damon Wischik (AISTATS, 2025)

Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching. - Zijing Ou; Mingtian Zhang; Andi Zhang 001; Tim Z. Xiao; Yingzhen Li; David Barber (ICLR, 2025)

Concept-based Adversarial Attack: a Probabilistic Perspective. - Andi Zhang 001; Xuan Ding; Steven McDonagh; Samuel Kaski (CoRR, 2025)