Yongqi Ding

According to our database, Yongqi Ding authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

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

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

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective.

Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Hanpu Deng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Multi-Bit Mechanism: A Novel Information Transmission Paradigm for Spiking Neural Networks.

Yongjun Xiao, Xianlong Tian, Yongqi Ding, Pei He, Mengmeng Jing, Lin Zuo

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

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Network.

Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao

CoRR, 2024

Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection.

Yanning Ye, Shimin Luo, Mengmeng Jing, Yongqi Ding, Kunbin He, Lin Zuo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

A YOLOv5 and Improved Perspective-4-Points Algorithm Based Indoor LOS and NLOS Adaptive Visible Light Positioning System.

Jingxian Yang, Weijie Huang, Yongqi Ding, Jiabin Luo, Hongtao Yu, Shujie Yan, Yixiang Huang, Bangjiang Lin, Zabih Ghassemlooy

Proceedings of the 14th International Symposium on Communication Systems, 2024

Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks.

Yongqi Ding, Lin Zuo, Mengmeng Jing, Pei He, Yongjun Xiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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