Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. - Xiurui Xie; Hong Qu; Guisong Liu; Lingshuang Liu (ICONIP (1), 2014)

Improved perception-based spiking neuron learning rule for real-time user authentication. - Hong Qu; Xiurui Xie; Yongshuai Liu; Malu Zhang; Li Lu 001 (Neurocomputing, 2015)

Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution. - Minyu Feng; Hong Qu; Zhang Yi 001; Xiurui Xie; Jürgen Kurths (IEEE Trans. Cybern., 2016)

Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. - Xiurui Xie; Hong Qu; Guisong Liu; Malu Zhang (Neurocomputing, 2017)

Supervised learning in spiking neural networks with noise-threshold. - Malu Zhang; Hong Qu; Xiurui Xie; Jürgen Kurths (Neurocomputing, 2017)

Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. - Xiurui Xie; Hong Qu; Zhang Yi 001; Jürgen Kurths (IEEE Trans. Neural Networks Learn. Syst., 2017)

Feedforward Computational Model for Pattern Recognition with Spiking neurons. - Malu Zhang; Hong Qu; Jianping Li; Ammar Belatreche; Xiurui Xie; Zhi Zeng (Int. J. Robotics Autom., 2018)

EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. - Malu Zhang; Hong Qu; Ammar Belatreche; Xiurui Xie (IEEE Trans. Cogn. Dev. Syst., 2018)

Multi-source sequential knowledge regression by using transfer RNN units. - Xiurui Xie; Guisong Liu; Qing Cai; Pengfei Wei 001; Hong Qu (Neural Networks, 2019)

The maximum points-based supervised learning rule for spiking neural networks. - Xiurui Xie; Guisong Liu; Qing Cai; Hong Qu; Malu Zhang (Soft Comput., 2019)

Supervised learning in spiking neural networks with synaptic delay-weight plasticity. - Malu Zhang; Jibin Wu; Ammar Belatreche; Zihan Pan; Xiurui Xie; Yansong Chua; Guoqi Li; Hong Qu; Haizhou Li 001 (Neurocomputing, 2020)

An end-to-end functional spiking model for sequential feature learning. - Xiurui Xie; Guisong Liu; Qing Cai; Guolin Sun; Malu Zhang; Hong Qu (Knowl. Based Syst., 2020)

Efficient dynamic domain adaptation on deep CNN. - Zeheng Yang; Guisong Liu; Xiurui Xie; Qing Cai (Multim. Tools Appl., 2020)

A neural-network-based framework for cigarette laser code identification. - Zeheng Yang; Xiurui Xie; Qiugang Zhan; Guisong Liu; Qing Cai; Xu Zheng (Neural Comput. Appl., 2020)

When to transfer: a dynamic domain adaptation method for effective knowledge transfer. - Xiurui Xie; Qing Cai; Hongjie Zhang; Malu Zhang; Zeheng Yang; Guisong Liu (Int. J. Mach. Learn. Cybern., 2022)

A deep learning approach for insulator instance segmentation and defect detection. - Eldad Antwi-Bekoe; Guisong Liu; Jean-Paul Ainam; Guolin Sun; Xiurui Xie (Neural Comput. Appl., 2022)

Effective Transfer Learning Algorithm in Spiking Neural Networks. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Guolin Sun; Huajin Tang (IEEE Trans. Cybern., 2022)

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. - Qiugang Zhan; Xiurui Xie; Guisong Liu; Malu Zhang (CoRR, 2023)

Bio-inspired Active Learning method in spiking neural network. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Malu Zhang; Guolin Sun (Knowl. Based Syst., 2023)

Active learning in multi-label image classification with graph convolutional network embedding. - Xiurui Xie; Maojun Tian; Guangchun Luo; Guisong Liu; Yizhe Wu; Ke Qin (Future Gener. Comput. Syst., 2023)

Human-Level Control Through Directly Trained Deep Spiking Q-Networks. - Guisong Liu; Wenjie Deng; Xiurui Xie; Li Huang 002; Huajin Tang (IEEE Trans. Cybern., 2023)

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. - Muquan Li; Dongyang Zhang 001; Tao He 007; Xiurui Xie; Yuan-Fang Li; Ke Qin (ACM Multimedia, 2024)

Federated learning for spiking neural networks by hint-layer knowledge distillation. - Xiurui Xie; Jingxuan Feng; Guisong Liu; Qiugang Zhan; Zhetong Liu; Malu Zhang (Appl. Soft Comput., 2024)

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. - Qiugang Zhan; Jinbo Cao; Xiurui Xie; Malu Zhang; Huajin Tang; Guisong Liu (CoRR, 2024)

A two-stage spiking meta-learning method for few-shot classification. - Qiugang Zhan; Bingchao Wang; Anning Jiang; Xiurui Xie; Malu Zhang; Guisong Liu (Knowl. Based Syst., 2024)

Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. - Qiugang Zhan; Guisong Liu; Xiurui Xie; Ran Tao; Malu Zhang; Huajin Tang (IEEE Trans. Image Process., 2024)

Effective Active Learning Method for Spiking Neural Networks. - Xiurui Xie; Bei Yu; Guisong Liu; Qiugang Zhan; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Event-Driven Spiking Learning Algorithm Using Aggregated Labels. - Xiurui Xie; Yansong Chua; Guisong Liu; Malu Zhang; Guangchun Luo; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Adaptive Dataset Quantization. - Muquan Li; Dongyang Zhang 001; Qiang Dong; Xiurui Xie; Ke Qin (AAAI, 2025)

Flexible Sharpness-Aware Personalized Federated Learning. - Xinda Xing; Qiugang Zhan; Xiurui Xie; Yuning Yang; Qiang Wang; Guisong Liu (AAAI, 2025)

Dynamic Layer-Wise Strategy for Parameter-Efficient Fine-Tuning. - Guowei Peng; Yuning Yang; Dongyang Zhang 001; Xiurui Xie; Anning Jiang; Fangyi Ding (ICSIM, 2025)

A MoE-based Safety Fine-tuning Method for Multimodal Large Language Models. - Runjia Zhang; Qi Xue; Nanxin Zhang; Yu Wang; Xiurui Xie; Dongyang Zhang 001 (ICSIM, 2025)

A deep reinforcement active learning method for multi-label image classification. - Qing Cai; Ran Tao; Xiufen Fang; Xiurui Xie; Guisong Liu (Comput. Vis. Image Underst., 2025)

Toward lightweight image super-resolution via re-parameterized kernel recalibration. - Dongyang Zhang 001; Jiachi Liu; Shuang Liang 002; Xiurui Xie; Qiang Dong; Ke Qin (Knowl. Based Syst., 2025)