Xinyu Kang

According to our database, Xinyu Kang authored at least 9 papers between 2017 and 2025.

Collaborative distances:

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

2025

MSA-Former: Multi-scale Adaptive Transformer for Image Snow Removal.

Bin Wang, Zekun Chen, Lei Zhang, Shili Liang, Sijia Guo, Xinyu Kang, Huajing Li

Proceedings of the MultiMedia Modeling, 2025

2024

Spatiotemporal Meteorological Prediction Based on Fully Convolutional Neural Network.

Jiaqi Zhang, Bin Wang, Mingyang Hua, Zekun Chen, Shili Liang, Xinyu Kang

IEEE Trans. Geosci. Remote. Sens., 2024

Computation Complexity Reduction Based on Quick Leaky-Integrate-And-Fire Mechanism for SNNs.

Xinyu Kang, Silong Li, Xingbo Wang, Zhiyuan Xu, Yuru Li, Terry Tao Ye

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2024

FlexBits: A Configurable Lightweight RISC-V Micro-architecture for Flexible Bit-Width Execution.

Zhiyuan Xu, Xinyu Kang, Xingbo Wang, Bingzhen Chen, Terry Tao Ye

Proceedings of the 6th IEEE International Conference on AI Circuits and Systems, 2024

2022

A refinement strategy for identification of scientific software from bioinformatics publications.

Lu Jiang, Xinyu Kang, Shan Huang, Bo Yang

Scientometrics, 2022

A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices.

Xinyu Kang, Mohammad H. Jafari, Mohammad Mahdi Kazemi Esfeh, Christina Luong, Teresa Tsang, Purang Abolmaesumi

Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022

2021

SimROD: A Simple Adaptation Method for Robust Object Detection.

Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data?

Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2017

Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience.

Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017