Chenhui Deng

According to our database, Chenhui Deng authored at least 19 papers between 2020 and 2025.

Collaborative distances:

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

2025

Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification.

Nathaniel Ross Pinckney, Chenhui Deng, Chia-Tung Ho, Yun-Da Tsai, Mingjie Liu, Wenfei Zhou, Brucek Khailany, Haoxing Ren

CoRR, June, 2025

HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization.

Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P. Gomes, Zhiru Zhang

CoRR, June, 2025

ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation.

Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren

CoRR, June, 2025

Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns.

Hanchen Jin, Zichao Yue, Zhongyuan Zhao, Yixiao Du, Chenhui Deng, Nitish Srivastava, Zhiru Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2025

JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation.

Ghasem Pasandi, Kishor Kunal, Varun Tej, Kunjal Shan, Hanfei Sun, Sumit Jain, Chunhui Li, Chenhui Deng, Teodor-Dumitru Ene, Haoxing Ren, Sreedhar Pratty

CoRR, May, 2025

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs.

Zichao Yue, Chenhui Deng, Zhiru Zhang

CoRR, April, 2025

Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design.

Chia-Tung Ho, Jing Gong, Yunsheng Bai, Chenhui Deng, Haoxing Ren, Brucek Khailany

CoRR, April, 2025

SmoothE: Differentiable E-Graph Extraction.

Yaohui Cai, Kaixin Yang, Chenhui Deng, Cunxi Yu, Zhiru Zhang

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation.

Chenhui Deng, Yunsheng Bai, Haoxing Ren

CoRR, 2024

SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds.

Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng

CoRR, 2024

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time.

Chenhui Deng, Zichao Yue, Zhiru Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits.

Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

Special Session: Machine Learning for Embedded System Design.

Erika S. Alcorta, Andreas Gerstlauer, Chenhui Deng, Qi Sun, Zhiru Zhang, Ceyu Xu, Lisa Wu Wills, Daniela Sanchez Lopera, Wolfgang Ecker, Siddharth Garg, Jiang Hu

Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis, 2023

2022

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks.

Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang

Proceedings of the Learning on Graphs Conference, 2022

2021

SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation.

Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng

Proceedings of the 38th International Conference on Machine Learning, 2021

GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation.

Jiajia Jiao, Debjit Pal, Chenhui Deng, Zhiru Zhang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks.

Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin

Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2020

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding.

Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng

Proceedings of the 8th International Conference on Learning Representations, 2020

Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks.

Ecenur Ustun, Chenhui Deng, Debjit Pal, Zhijing Li, Zhiru Zhang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020