Peng Xu

According to our database, Peng Xu authored at least 18 papers between 2023 and 2025.

Collaborative distances:

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

2025

PARoute2: Enhanced Analog Routing via Performance-Drive Guidance Generation.

Peng Xu, Jindong Tu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu

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

SMART: Graph Learning-Boosted Subcircuit Matching for Large-Scale Analog Circuits.

Jindong Tu, Yapeng Li, Pengjia Li, Peng Xu, Qianru Zhang, Sanping Wan, Yongsheng Sun, Bei Yu, Tinghuan Chen

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

Rank-DSE: Neural Pareto Comparator of Microarchitecture Design Space Exploration.

Peng Xu, Su Zheng, Mingzi Wang, Ziyang Yu, Shixin Chen, Tinghuan Chen, Keren Zhu, Tsung-Yi Ho, Bei Yu

ACM Trans. Design Autom. Electr. Syst., September, 2025

Lay-Net: Grafting Netlist Knowledge on Layout-Based Congestion Prediction.

Lancheng Zou, Su Zheng, Peng Xu, Siting Liu, Bei Yu, Martin D. F. Wong

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

Prerouting Timing Prediction Across Different Technology Nodes.

Xinyun Zhang, Binwu Zhu, Fangzhou Liu, Jiaxi Jiang, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu

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

Learning-Driven Physically Aware Large-Scale Circuit Gate Sizing.

Yuyang Ye, Peng Xu, Lizheng Ren, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi

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

Rank-based Multi-objective Approximate Logic Synthesis via Monte Carlo Tree Search.

Yuyang Ye, Xiangfei Hu, Yuchen Liu, Peng Xu, Yu Gong, Tinghuan Chen, Hao Yan, Bei Yu, Longxing Shi

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

LLMShare: Optimizing LLM Inference Serving with Hardware Architecture Exploration.

Hongduo Liu, Chen Bai, Peng Xu, Lihao Yin, Xianzhi Yu, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu

Proceedings of the 62nd ACM/IEEE Design Automation Conference, 2025

2024

DeepOTF: Learning Equations-constrained Prediction for Electromagnetic Behavior.

Peng Xu, Siyuan Xu, Tinghuan Chen, Guojin Chen, Tsung-Yi Ho, Bei Yu

ACM Trans. Design Autom. Electr. Syst., 2024

RankTuner: When Design Tool Parameter Tuning Meets Preference Bayesian Optimization.

Peng Xu, Su Zheng, Yuyang Ye, Chen Bai, Siyuan Xu, Hao Geng, Tsung-Yi Ho, Bei Yu

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Disentangle, Align and Generalize: Learning A Timing Predictor from Different Technology Nodes.

Xinyun Zhang, Binwu Zhu, Fangzhou Liu, Ziyi Wang, Peng Xu, Hong Xu, Bei Yu

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

Performance-driven Analog Routing via Heterogeneous 3DGNN and Potential Relaxation.

Peng Xu, Guojin Chen, Keren Zhu, Tinghuan Chen, Tsung-Yi Ho, Bei Yu

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

NeuroSelect: Learning to Select Clauses in SAT Solvers.

Hongduo Liu, Peng Xu, Yuan Pu, Lihao Yin, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu

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

Efficient Bilevel Source Mask Optimization.

Guojin Chen, Hongquan He, Peng Xu, Hao Geng, Bei Yu

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

Performance-Driven Analog Layout Automation: Current Status and Future Directions (Invited Paper).

Peng Xu, Jintao Li, Tsung-Yi Ho, Bei Yu, Keren Zhu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models.

Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.

Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqing Yang, Bei Yu

CoRR, 2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks.

Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

Proceedings of the International Conference on Machine Learning, 2023