Kunshan Yang

16 papers A* 1A 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning spatio-temporal consistency in spiking neural networks by self-distillation.
Pattern Recognit.
Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Hanpu Deng
2026 J jnl
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks.
CoRR
Yongqi Ding, Kunshan Yang, Linze Li, Yiyang Zhang, Mengmeng Jing, Lin Zuo
2025 A conf
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition.
ICME
Kunshan Yang, Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo
2025 J jnl
A Semantic-Enhanced Heterogeneous Graph Learning Method for Flexible Objects Recognition.
CoRR
Kunshan Yang, Wenwei Luo, Yuguo Hu, Jiafu Yan, Mengmeng Jing, Lin Zuo
2025 J jnl
Adaptive recognition of flexible objects via hierarchical deformable graph network.
Inf. Sci.
Kunshan Yang, Lin Zuo, Mengmeng Jing, Yongqi Ding, Haoran Peng, Xianlong Tian
2025 A* conf
Bridging Inter-Class Ambiguity and Spatial Variability in Flexible Object Recognition via Graph Distillation.
ACM Multimedia
Lin Zuo, Kunshan Yang, Mengmeng Jing, Xiangxu Zhao, Jiaqiao Chen
2025 J jnl
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Kunshan Yang, Lin Zuo, Mengmeng Jing, Xianlong Tian, Kunbin He, Yongqi Ding
2025 J jnl
Synergy Between the Strong and the Weak: Spiking Neural Networks are Inherently Self-Distillers.
CoRR
Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Pei He, Tonglan Xie
2025 — conf
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks.
KDD (2)
Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu
2024 J jnl
Flexible ViG: Learning the Self-Saliency for Flexible Object Recognition.
CoRR
Lin Zuo, Kunshan Yang, Xianlong Tian, Kunbin He, Yongqi Ding, Mengmeng Jing
2024 J jnl
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks.
CoRR
Lin Zuo, Yongqi Ding, Mengmeng Jing, Kunshan Yang, Yunqian Yu
2024 J jnl
Temporal Reversed Training for Spiking Neural Networks with Generalized Spatio-Temporal Representation.
CoRR
Lin Zuo, Yongqi Ding, Wenwei Luo, Mengmeng Jing, Xianlong Tian, Kunshan Yang
2024 J jnl
Toward End-to-End Bearing Fault Diagnosis for Industrial Scenarios with Spiking Neural Networks.
CoRR
Yongqi Ding, Lin Zuo, Mengmeng Jing, Kunshan Yang, Biao Chen, Yunqian Yu
2023 J jnl
An improved probabilistic spiking neural network with enhanced discriminative ability.
Knowl. Based Syst.
Yongqi Ding, Lin Zuo, Kunshan Yang, Zhongshu Chen, Jian Hu, Tangfan Xiahou
2022 J jnl
Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network.
Complex.
Tingyu Gong, Songchen Han, Kunshan Yang
2019 — conf
Modeling and Feature Analysis of Air Traffic Management Technical Support System Based on Weighted Complex Network.
MLMI
Jiayu Quan, Songchen Han, Peng Li, Binbin Liang, Lisha Yu, Kunshan Yang