Anzhe Cheng

According to our database, Anzhe Cheng authored at least 12 papers between 2024 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

POET: Power-Oriented Evolutionary Tuning for LLM-Based RTL PPA Optimization.

Heng Ping, Peiyu Zhang, Zhenkun Wang, Shixuan Li, Anzhe Cheng, Wei Yang, Paul Bogdan, Shahin Nazarian

CoRR, March, 2026

Structural Complexity of Brain MRI reveals age-associated patterns.

Anzhe Cheng, Italo Ivo Lima Dias Pinto, Paul Bogdan

CoRR, January, 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

VeriMoA: A Mixture-of-Agents Framework for Spec-to-HDL Generation.

Heng Ping, Arijit Bhattacharjee, Peiyu Zhang, Shixuan Li, Wei Yang, Anzhe Cheng, Xiaole Zhang, Jesse Thomason, Ali Jannesari, Nesreen Ahmed, Paul Bogdan

CoRR, October, 2025

MaskAttn-SDXL: Controllable Region-Level Text-To-Image Generation.

Yu Chang, Jiahao Chen, Anzhe Cheng, Paul Bogdan

CoRR, September, 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

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, March, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Heng Ping, Zhenkun Wang, Xiongye Xiao, Chenzhong Yin, Shahin Nazarian, Mingxi Cheng, Paul Bogdan

Proceedings of the IEEE International Conference on Acoustics, 2024