Detecting Cardiovascular Disease from Mammograms With Deep Learning. - Juan Wang 002; Huanjun Ding; Fatemeh Azamian Bidgoli; Brian Zhou; Carlos Iribarren; Sabee Molloi; Pierre Baldi (IEEE Trans. Medical Imaging, 2017)

Data-Driven Machine Learning Models for a Multi-Objective Flapping Fin Unmanned Underwater Vehicle Control System. - Julian Lee; Kamal Viswanath; Alisha Sharma; Jason Geder; Marius Pruessner; Brian Zhou (AAAI, 2023)

Practical Storage-Compute Elasticity for Stream Data Processing. - Raúl Gracia Tinedo; Flavio Junqueira; Brian Zhou; Yimin Xiong; Luis Liu (Middleware Industry, 2023)

Computational Approaches for Modeling Power Consumption on an Underwater Flapping Fin Propulsion System. - Brian Zhou; Jason Geder; Alisha Sharma; Julian Lee; Marius Pruessner; Ravi Ramamurti; Kamal Viswanath (CoRR, 2023)

Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control (Student Abstract). - Brian Zhou; Jason Geder; Kamal Viswanath; Alisha Sharma; Julian Lee (AAAI, 2024)

Deep Learning Models for Flapping Fin Unmanned Underwater Vehicle Control System Gait Optimization. - Brian Zhou; Kamal Viswanath; Jason Geder; Alisha Sharma; Julian Lee (CoRR, 2024)

Pheromone-based Learning of Optimal Reasoning Paths. - Anirudh Chari; Aditya Tiwari; Richard Lian; Suraj Reddy; Brian Zhou (CoRR, 2025)

MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems. - Anirudh Chari; Suraj Reddy; Aditya Tiwari; Richard Lian; Brian Zhou (CoRR, 2025)

AI-Assisted Fixes to Code Review Comments at Scale. - Chandra Shekhar Maddila; Negar Ghorbani; James Saindon; Parth Thakkar; Vijayaraghavan Murali; Rui Abreu 001; Jingyue Shen; Brian Zhou; Nachiappan Nagappan; Peter C. Rigby (CoRR, 2025)