Shukai Duan

According to our database, Shukai Duan authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation.

Heng Ping, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng, Shukai Duan, Xiaole Zhang, Paul Bogdan

CoRR, April, 2026

EMoE: Eigenbasis-Guided Routing for Mixture-of-Experts.

Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Shahin Nazarian, Paul M. Thompson, Paul Bogdan

CoRR, January, 2026

2025

ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.

Anzhe Cheng, Shukai Duan, Shixuan Li, Chenzhong Yin, Mingxi Cheng, Heng Ping, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Shahin Nazarian, Paul M. Thompson, Paul Bogdan

CoRR, November, 2025

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis.

Anzhe Cheng, Chenzhong Yin, Mingxi Cheng, Shukai Duan, Shahin Nazarian, Paul Bogdan

CoRR, August, 2025

HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.

Heng Ping, Shixuan Li, Peiyu Zhang, Anzhe Cheng, Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Wei Yang, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, March, 2025

2024

A Structure-Aware Framework for Learning Device Placements on Computation Graphs.

Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Leveraging Reinforcement Learning and Large Language Models for Code Optimization.

Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan

CoRR, 2023