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20232026
most citedHDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL

1 citations · 2 across the 13 of their papers we have counts for

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cs.CV2025★ 1 cited

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

Anzhe Cheng, Shukai Duan, Shixuan Li +8

Mixture-of-Experts (MoE) architectures expand model capacity by sparsely activating experts but face two core challenges: misalignment between router logits and each expert's inter…

cs.AI2025

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

Heng Ping, Arijit Bhattacharjee, Peiyu Zhang +8

Automation of Register Transfer Level (RTL) design can help developers meet increasing computational demands. Large Language Models (LLMs) show promise for Hardware Description Lan…

cs.CV2025

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

Yu Chang, Jiahao Chen, Anzhe Cheng +1

Diffusion models have achieved strong results in text-to-image generation, but important limitations remain as prompts become more structured and multi-object. On the architecture…

cs.CV2025

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis

Anzhe Cheng, Chenzhong Yin, Mingxi Cheng +3

The remarkable success of Deep Neural Networks(DNN) is driven by gradient-based optimization, yet this process is often undermined by its tendency to produce disordered weight stru…

cs.CL2025★ 1 cited

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

Heng Ping, Shixuan Li, Peiyu Zhang +8

Recent advances in large language models (LLMs) have demonstrated remarkable capabilities in code generation tasks. However, when applied to hardware description languages (HDL), t…

cs.CV2025

MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation

Anzhe Cheng, Chenzhong Yin, Yu Chang +4

Low-resolution image segmentation is crucial in real-world applications such as robotics, augmented reality, and large-scale scene understanding, where high-resolution data is ofte…

cs.OS2025

Exploiting Application-to-Architecture Dependencies for Designing Scalable OS

Yao Xiao, Nikos Kanakaris, Anzhe Cheng +5

With the advent of hundreds of cores on a chip to accelerate applications, the operating system (OS) needs to exploit the existing parallelism provided by the underlying hardware r…