Zhengfeng Wu

12 papers C 4Journal 2Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Representation Learning for Electronic Design Automation. CoRR Pratik Shrestha, Saran Phatharodom, Alec Aversa, David Blankenship, Zhengfeng Wu, Ioannis Savidis
2025	C	`conf`	Differentiable Graph Neural Networks for Wirelength Estimation. ISCAS Zhengfeng Wu, Pratik Shrestha, Saran Phatharodom, Ioannis Savidis
2025	J	`jnl`	Emerging ML-AI Techniques for Analog and RF EDA. CoRR Zhengfeng Wu, Ziyi Chen, Nnaemeka Achebe, Vaibhav Venugopal Rao, Pratik Shrestha, Ioannis Savidis
2024	—	`conf`	Comparative Analysis of Graph Isomorphism and Graph Neural Networks for Analog Hierarchy Labeling. ISQED Zhengfeng Wu, Ioannis Savidis
2024	C	`conf`	Edge-weighted Graph Neural Networks for Post-placement Interconnect Capacitance Estimation of Analog Circuits. ISCAS Zhengfeng Wu, Ioannis Savidis
2023	C	`conf`	Circuit-GNN: A Graph Neural Network for Transistor-level Modeling of Analog Circuit Hierarchies. ISCAS Zhengfeng Wu, Ioannis Savidis
2023	—	`conf`	Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation. MLCAD Zhengfeng Wu, Isabel Song, Ioannis Savidis
2022	C	`conf`	Transfer Learning for Reuse of Analog Circuit Sizing Models Across Technology Nodes. ISCAS Zhengfeng Wu, Ioannis Savidis
2022	—	`conf`	Transfer of Performance Models Across Analog Circuit Topologies with Graph Neural Networks. MLCAD Zhengfeng Wu, Ioannis Savidis
2021	—	`conf`	Variation-aware Analog Circuit Sizing with Classifier Chains. MLCAD Zhengfeng Wu, Ioannis Savidis
2020	—	`conf`	CALT: Classification with Adaptive Labeling Thresholds for Analog Circuit Sizing. MLCAD Zhengfeng Wu, Ioannis Savidis
2013	—	`conf`	Experimental analysis and modeling of CSS ranging in LOS and NLOS environments. WOCC Xingchuan Liu, Zhengfeng Wu, Wei Ben