Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks. - Anzhe Cheng; Heng Ping; Zhenkun Wang 008; Xiongye Xiao; Chenzhong Yin; Shahin Nazarian; Mingxi Cheng; Paul Bogdan (ICASSP, 2024)

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS. - Yao Xiao; Nikos Kanakaris; Anzhe Cheng; Chenzhong Yin; Nesreen K. Ahmed; Shahin Nazarian; Andrei Irimia; Paul Bogdan (ICASSP, 2025)

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation. - Anzhe Cheng; Chenzhong Yin; Yu Chang; Heng Ping; Shixuan Li; Shahin Nazarian; Paul Bogdan (CoRR, 2025)

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)