3 papers
cs.LG2025
Hybrid Time-Domain Behavior Model Based on Neural Differential Equations and RNNs
Zenghui Chang, Yang Zhang, Hu Tan +1
Nonlinear dynamics system identification is crucial for circuit emulation. Traditional continuous-time domain modeling approaches have limitations in fitting capability and computa…
cs.IR2025
Neural Network Graph Similarity Computation Based on Graph Fusion
Zenghui Chang, Yiqiao Zhang, Hong Cai Chen
Graph similarity learning, crucial for tasks such as graph classification and similarity search, focuses on measuring the similarity between two graph-structured entities. The core…
cs.AR2025
Circuit Diagram Retrieval Based on Hierarchical Circuit Graph Representation
Ming Gao, Ruichen Qiu, Zeng Hui Chang +3
In the domain of analog circuit design, the retrieval of circuit diagrams has drawn a great interest, primarily due to its vital role in the consultation of legacy designs and the…