Chenhui Deng - RankMe

33 papers A* 6A 2Misc 1Journal 17Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACE-RTL: When Agentic Context Evolution Meets RTL-Specialized LLMs. CoRR Chenhui Deng, Zhongzhi Yu, Guan-Ting Liu, Nathaniel Ross Pinckney, Haoxing Ren
2026	J	`jnl`	GRPO with State Mutations: Improving LLM-Based Hardware Test Plan Generation. CoRR Dimple Vijay Kochar, Nathaniel Ross Pinckney, Guan-Ting Liu, Chia-Tung Ho, Chenhui Deng, Haoxing Ren, Brucek Khailany
2026	—	`conf`	ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers. TACAS (2) Chen Chen, Daniela Kaufmann, Chenhui Deng, Zhan Song, Hongce Zhang, Cunxi Yu
2025	—	`conf`	ASPEN: LLM-Guided E-Graph Rewriting for RTL Datapath Optimization. MLCAD Niansong Zhang, Chenhui Deng, Johannes Maximilian Kühn, Chia-Tung Ho, Cunxi Yu, Zhiru Zhang, Haoxing Ren
2025	A*	`conf`	ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation. DAC Chenhui Deng, Yunsheng Bai, Haoxing Ren
2025	A*	`conf`	CirSTAG: Circuit Stability Analysis on Graph-based Manifolds. DAC Wuxinlin Cheng, Yihang Yuan, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng
2025	J	`jnl`	Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification. CoRR Nathaniel Ross Pinckney, Chenhui Deng, Chia-Tung Ho, Yun-Da Tsai, Mingjie Liu, Wenfei Zhou, Brucek Khailany, Haoxing Ren
2025	—	`conf`	Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs. MLSys Zichao Yue, Chenhui Deng, Zhiru Zhang
2025	J	`jnl`	Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs. CoRR Zichao Yue, Chenhui Deng, Zhiru Zhang
2025	J	`jnl`	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. CoRR 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
2025	J	`jnl`	JARVIS: A Multi-Agent Code Assistant for High-Quality EDA Script Generation. CoRR Ghasem Pasandi, Kishor Kunal, Varun Tej, Kunjal Shan, Hanfei Sun, Sumit Jain, Chunhui Li, Chenhui Deng, Teodor-Dumitru Ene, Haoxing Ren, Sreedhar Pratty
2025	J	`jnl`	Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design. CoRR Chia-Tung Ho, Jing Gong, Yunsheng Bai, Chenhui Deng, Haoxing Ren, Brucek Khailany
2025	J	`jnl`	ReVEAL: GNN-Guided Reverse Engineering for Formal Verification of Optimized Multipliers. CoRR Chen Chen, Daniela Kaufmann, Chenhui Deng, Zhan Song, Hongce Zhang, Cunxi Yu
2025	—	`conf`	ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. MLCAD Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren
2025	J	`jnl`	ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation. CoRR Chenhui Deng, Yun-Da Tsai, Guan-Ting Liu, Zhongzhi Yu, Haoxing Ren
2025	—	`conf`	SmoothE: Differentiable E-Graph Extraction. ASPLOS (1) Yaohui Cai, Kaixin Yang, Chenhui Deng, Cunxi Yu, Zhiru Zhang
2025	J	`jnl`	Vesper: A Versatile Sparse Linear Algebra Accelerator With Configurable Compute Patterns. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Hanchen Jin, Zichao Yue, Zhongyuan Zhao, Yixiao Du, Chenhui Deng, Nitish Srivastava, Zhiru Zhang
2024	J	`jnl`	ChipAlign: Instruction Alignment in Large Language Models for Chip Design via Geodesic Interpolation. CoRR Chenhui Deng, Yunsheng Bai, Haoxing Ren
2024	A*	`conf`	Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. DAC Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
2024	J	`jnl`	Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits. CoRR Chenhui Deng, Zichao Yue, Cunxi Yu, Gokce Sarar, Ryan Carey, Rajeev Jain, Zhiru Zhang
2024	A*	`conf`	Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. ICLR Chenhui Deng, Zichao Yue, Zhiru Zhang
2024	J	`jnl`	Polynormer: Polynomial-Expressive Graph Transformer in Linear Time. CoRR Chenhui Deng, Zichao Yue, Zhiru Zhang
2024	J	`jnl`	SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds. CoRR Wuxinlin Cheng, Chenhui Deng, Ali Aghdaei, Zhiru Zhang, Zhuo Feng
2023	Misc	`conf`	Special Session: Machine Learning for Embedded System Design. CODES+ISSS 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
2022	—	`conf`	GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. LoG Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
2022	J	`jnl`	GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks. CoRR Chenhui Deng, Xiuyu Li, Zhuo Feng, Zhiru Zhang
2021	A	`conf`	GLAIVE: Graph Learning Assisted Instruction Vulnerability Estimation. DATE Jiajia Jiao, Debjit Pal, Chenhui Deng, Zhiru Zhang
2021	—	`conf`	Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. ASP-DAC Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin
2021	A*	`conf`	SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. ICML Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
2021	J	`jnl`	SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. CoRR Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
2020	A	`conf`	Accurate Operation Delay Prediction for FPGA HLS Using Graph Neural Networks. ICCAD Ecenur Ustun, Chenhui Deng, Debjit Pal, Zhijing Li, Zhiru Zhang
2020	A*	`conf`	GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding. ICLR Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng
2019	J	`jnl`	GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding. CoRR Chenhui Deng, Zhiqiang Zhao, Yongyu Wang, Zhiru Zhang, Zhuo Feng