Multidimensional Contrast Limited Adaptive Histogram Equalization. - Vincent Stimper; Stefan Bauer; Ralph Ernstorfer; Bernhard Schölkopf; Rui Patrick Xian (IEEE Access, 2019)

From structure mining to unsupervised exploration of atomic octahedral networks. - Rui Patrick Xian; Ryan J. Morelock; Ido Hadar; Charles B. Musgrave; Christopher Sutton (CoRR, 2023)

A machine learning route between band mapping and band structure. - R. Patrick Xian; Vincent Stimper; Marios Zacharias; Maciej Dendzik; Shuo Dong; Samuel Beaulieu; Bernhard Schölkopf; Martin Wolf; Laurenz Rettig; Christian Carbogno; Stefan Bauer; Ralph Ernstorfer (Nat. Comput. Sci., 2023)

Zero-shot sampling of adversarial entities in biomedical question answering. - R. Patrick Xian; Alex J. Lee; Vincent Wang 002; Qiming Cui; Russell Ro; Reza Abbasi-Asl (CoRR, 2024)

Assessing biomedical knowledge robustness in large language models by query-efficient sampling attacks. - Rui Patrick Xian; Alex J. Lee; Satvik Lolla; Vincent Wang 002; Russell Ro; Qiming Cui; Reza Abbasi-Asl (Trans. Mach. Learn. Res., 2024)

Robustness tests for biomedical foundation models should tailor to specification. - R. Patrick Xian; Noah R. Baker; Tom David; Qiming Cui; A. Jay Holmgren; Stefan Bauer; Madhumita Sushil; Reza Abbasi-Asl (CoRR, 2025)

Measuring temporal effects of agent knowledge by date-controlled tool use. - R. Patrick Xian; Qiming Cui; Stefan Bauer; Reza Abbasi-Asl (CoRR, 2025)

Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective. - Garry A. Gabison; R. Patrick Xian (CoRR, 2025)