Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks. - Ecenur Ustun; Chenhui Deng; Debjit Pal; Zhijing Li 002; Zhiru Zhang (ICCAD, 2020)

GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. - Chenhui Deng; Zhiqiang Zhao; Yongyu Wang; Zhiru Zhang; Zhuo Feng (ICLR, 2020)

Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. - Xiaohan Gao; Chenhui Deng; Mingjie Liu; Zhiru Zhang; David Z. Pan; Yibo Lin (ASP-DAC, 2021)

GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation. - Jiajia Jiao; Debjit Pal; Chenhui Deng; Zhiru Zhang (DATE, 2021)

SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. - Wuxinlin Cheng; Chenhui Deng; Zhiqiang Zhao; Yaohui Cai; Zhiru Zhang; Zhuo Feng (ICML, 2021)

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. - Chenhui Deng; Xiuyu Li; Zhuo Feng; Zhiru Zhang (LoG, 2022)

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 (CODES+ISSS, 2023)

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 (DAC, 2024)

Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. - Chenhui Deng; Zichao Yue; Zhiru Zhang (ICLR, 2024)

SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds. - Wuxinlin Cheng; Chenhui Deng; Ali Aghdaei; Zhiru Zhang; Zhuo Feng (CoRR, 2024)

ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation. - Chenhui Deng; Yunsheng Bai; Haoxing Ren (CoRR, 2024)

SmoothE: Differentiable E-Graph Extraction. - Yaohui Cai; Kaixin Yang; Chenhui Deng; Cunxi Yu; Zhiru Zhang (ASPLOS (1), 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, 2025)

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs. - Zichao Yue; Chenhui Deng; Zhiru Zhang (CoRR, 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, 2025)

Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns. - Hanchen Jin; Zichao Yue; Zhongyuan Zhao 004; Yixiao Du; Chenhui Deng; Nitish Srivastava; Zhiru Zhang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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, 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; et al. (CoRR, 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, 2025)