Kunshan Yang

According to our database, Kunshan Yang authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks.

Yongqi Ding, Kunshan Yang, Linze Li, Yiyang Zhang, Mengmeng Jing, Lin Zuo

CoRR, March, 2026

Learning spatio-temporal consistency in spiking neural networks by self-distillation.

Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Hanpu Deng

Pattern Recognit., 2026

2025

Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers.

Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Pei He, Tonglan Xie

CoRR, October, 2025

Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition.

Kunshan Yang, Lin Zuo, Mengmeng Jing, Xianlong Tian, Kunbin He, Yongqi Ding

IEEE Trans. Circuits Syst. Video Technol., July, 2025

Adaptive recognition of flexible objects via hierarchical deformable graph network.

Kunshan Yang, Lin Zuo, Mengmeng Jing, Yongqi Ding, Haoran Peng, Xianlong Tian

Inf. Sci., 2025

Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation.

Lin Zuo, Kunshan Yang, Mengmeng Jing, Xiangxu Zhao, Jiaqiao Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks.

Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition.

Kunshan Yang, Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

FDA.

Kunshan Yang

Dataset, September, 2024

Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation.

Lin Zuo, Yongqi Ding, Wenwei Luo, Mengmeng Jing, Xianlong Tian, Kunshan Yang

CoRR, 2024

Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks.

Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Yunqian Yu

CoRR, 2024

2023

An improved probabilistic spiking neural network with enhanced discriminative ability.

Yongqi Ding, Lin Zuo, Kunshan Yang, Zhongshu Chen, Jian Hu, Tangfan Xiahou

Knowl. Based Syst., November, 2023

2022

Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network.

Tingyu Gong, Songchen Han, Kunshan Yang

Complex., 2022

2019

Modeling and Feature Analysis of Air Traffic Management Technical Support System Based on Weighted Complex Network.

Jiayu Quan, Songchen Han, Peng Li, Binbin Liang, Lisha Yu, Kunshan Yang

Proceedings of the 2nd International Conference on Machine Learning and Machine Intelligence, 2019