Feature Extraction and Classification from Planetary Science Datasets enabled by Machine Learning. - Conor Nixon; Zachary Yahn; Ethan Duncan; Ian Neidel; Alyssa Mills; Benoît Seignovert; Andrew Larsen; Kathryn Gansler; Charles Liles; Catherine Walker; Douglas Trent; John Santerre (CoRR, 2023)

Data Poisoning and Leakage Analysis in Federated Learning. - Wenqi Wei 001; Tiansheng Huang; Zachary Yahn; Anoop Singhal; Margaret Loper; Ling Liu 001 (CoRR, 2024)

H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 2024)

Rapid Automated Mapping of Clouds on Titan With Instance Segmentation. - Zachary Yahn; Douglas Trent; Ethan Duncan; Benoît Seignovert; John Santerre; Conor Nixon (CoRR, 2025)

Multi-Agent Reinforcement Learning with Focal Diversity Optimization. - Selim Furkan Tekin; Fatih Ilhan; Tiansheng Huang; Sihao Hu; Zachary Yahn; Ling Liu 001 (CoRR, 2025)

Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable. - Tiansheng Huang; Sihao Hu; Fatih Ilhan; Selim Furkan Tekin; Zachary Yahn; Yichang Xu; Ling Liu 001 (CoRR, 2025)

Language-Vision Planner and Executor for Text-to-Visual Reasoning. - Yichang Xu; Gaowen Liu; Ramana Rao Kompella; Sihao Hu; Tiansheng Huang; Fatih Ilhan; Selim Furkan Tekin; Zachary Yahn; Ling Liu 001 (CoRR, 2025)