Haoying Wu — accepted AI-conference papers

2026

AutoVSR: Automatic Visual-to-Symbolic Reasoning for Symbolic Expression Generation from Circuit Schematic

Zhe Xiao, Longfei Li, Xu He, Haoying Wu, Zixing Zhang, Mingyu Liu

ICML 2026poster

Symbolic expressions can effectively characterize and predict circuit behavior, but deriving them directly from circuit schematics is challenging. This process requires accurate visual-to-symbolic construction of circuit structure from images and correct multi-step symbolic derivation, both of which…

Cited by 0 Source ↗Scholar ↗

2017

Tactile motion recognition with convolutional neural networks

Haoying Wu, Daimin Jiang, Hao Gao

IROS 2017poster

To satisfy the diversity of tactile patterns during Physical Human Robot Interaction(PHRI), this paper proposes a method to recognize human tactile motion using a spherical handle equipped with tactile sensors. The method first exploits convolutional neural networks as universal feature extractors,…

Cited by 7 Source ↗Scholar ↗