A data-driven knowledge acquisition method based on system uncertainty. - Jim Zhao; Guo-Yin Wang 001 (IEEE ICCI, 2005)

CGRA-ME: A unified framework for CGRA modelling and exploration. - S. Alexander Chin; Noriaki Sakamoto; Allan Rui; Jim Zhao; Jin Hee Kim; Yuko Hara-Azumi; Jason Helge Anderson (ASAP, 2017)

Theoretical Characterisation of the Gauss Newton Conditioning in Neural Networks. - Jim Zhao; Sidak Pal Singh; Aurélien Lucchi (NeurIPS, 2024)

The Limits of Perception: Analyzing Inconsistencies in Saliency Maps in XAI. - Anna Stubbin; Thompson Chyrikov; Jim Zhao; Christina Chajo (CoRR, 2024)

Cubic regularized subspace Newton for non-convex optimization. - Jim Zhao; Nikita Doikov; Aurélien Lucchi (AISTATS, 2025)