Leveraging Reinforcement Learning and Large Language Models for Code Optimization. - Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Heng Ping; Chenyu Zhou; Nesreen K. Ahmed; Guixiang Ma; Mihai Capota; Theodore L. Willke; Shahin Nazarian; Paul Bogdan (CoRR, 2023)

A Structure-Aware Framework for Learning Device Placements on Computation Graphs. - Shukai Duan 002; Heng Ping; Nikos Kanakaris; Xiongye Xiao; Panagiotis Kyriakis; Nesreen K. Ahmed; Peiyu Zhang 002; Guixiang Ma; Mihai Capota; Shahin Nazarian; Theodore L. Willke; Paul Bogdan (NeurIPS, 2024)

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL. - Heng Ping; Shixuan Li; Peiyu Zhang 002; Anzhe Cheng; Shukai Duan 002; Nikos Kanakaris; Xiongye Xiao; Wei Yang; Shahin Nazarian; Andrei Irimia; Paul Bogdan (CoRR, 2025)

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis. - Anzhe Cheng; Chenzhong Yin; Mingxi Cheng; Shukai Duan 002; Shahin Nazarian; Paul Bogdan (CoRR, 2025)