Jingyan Sui — accepted AI-conference papers

2024

Accurate Interpolation of Scattered Data Via Learning Relation Graph

Shizhe Ding, Boyang Xia, Jingyan Sui, Dongbo Bu

ICASSP 2024accepted

Interpolation of scattered data is crucial across various domains, and neural networks have proved effective in developing accurate interpolators. While these neural network-based approaches excel in capturing data distributions, their failure to leverage inherent locality in computations can lead t…

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2024

NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design

Ruizhi Liu, ZhishengZeng, Shizhe Ding, Jingyan Sui, Xingquan Li, Dongbo Bu

NeurIPS 2024poster

Global routing plays a critical role in modern chip design. The routing paths generated by global routers often form a rectilinear Steiner tree (RST). Recent advances from the machine learning community have shown the power of learning-based route generation; however, the yielded routing paths by th…

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