Xiurui Xie

According to our database, Xiurui Xie authored at least 51 papers between 2014 and 2026.

Collaborative distances:

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

2026

SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning.

Qiugang Zhan, Jinbo Cao, Xiurui Xie, Huajin Tang, Malu Zhang, Shantian Yang, Guisong Liu

IEEE Trans. Neural Networks Learn. Syst., June, 2026

NDM: Boosting Dataset Distillation via Nested Difficulty Matching.

Dongyang Zhang, Hang Gou, Yue Zhang, Dan Song, Xiurui Xie

IEEE Trans. Circuits Syst. Video Technol., June, 2026

Spike-NVPT: Learning Robust Visual Prompts via Bio-Inspired Temporal Filtering and Discretization.

Qiugang Zhan, Anning Jiang, Ran Tao, Ao Ma, Xiangyu Zhang, Xiurui Xie, Guisong Liu

CoRR, April, 2026

HSFM: Hybrid Spatial Frequency Mamba for Efficient Image Restoration.

Junfeng Yang, Cencen Liu, Xinyu Liu, Zihan Zhang, Dongyang Zhang, Qiang Dong, Xiurui Xie

IEEE Trans. Computational Imaging, 2026

Rethinking attention cues: Multi-Factor guided token pruning for efficient vision-language understanding.

Deng Luo, Dongyang Zhang, Qiuhao Xie, Cencen Liu, Qiang Dong, Xiurui Xie

Knowl. Based Syst., 2026

SpikeLoRA: Power-efficient low-rank adaptation based on spiking neural network.

Ran Tao, Qiugang Zhan, Fangyi Ding, Guisong Liu, Xiurui Xie, Huajin Tang

Neurocomputing, 2026

SEMQ: Efficient non-uniform quantization with sensitivity-based error minimization for large language models.

Dongmin Li, Xiurui Xie, Dongyang Zhang, Athanasios V. Vasilakos, Man-Fai Leung

Future Gener. Comput. Syst., 2026

Adversarial Training for Robust Spiking Neural Networks via Boundary Stability Estimation.

Haonan Li, Xiurui Xie, Yupeng Liu, Qiugang Zhan, Yuning Yang, Guisong Liu

Proceedings of the 2026 9th International Conference on Software Engineering and Information Management, 2026

OASIS: Mitigating Harmful Fine-tuning Attacks on LLMs via Orthogonal and Adaptive Safety Alignment Strategy.

Jiayu Tang, Guowei Peng, Qiuhao Xie, Yuning Yang, Xiurui Xie, Guisong Liu

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

TiCAL: Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition.

Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents.

Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning.

Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian, Guisong Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition.

Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He

CoRR, November, 2025

EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models.

Yuning Yang, Xiurui Xie, Guowei Peng, Malu Zhang, Guangchun Luo, Yang Yang, Guisong Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2025

Falcon: A Cross-Modal Evaluation Dataset for Comprehensive Safety Perception.

Qi Xue, Minrui Jiang, Runjia Zhang, Xiurui Xie, Pei Ke, Guisong Liu

CoRR, September, 2025

Toward lightweight image super-resolution via re-parameterized kernel recalibration.

Dongyang Zhang, Jiachi Liu, Shuang Liang, Xiurui Xie, Qiang Dong, Ke Qin

Knowl. Based Syst., 2025

Safe and effective post-fine-tuning alignment in large language models.

Minrui Jiang, Yuning Yang, Xiurui Xie, Pei Ke, Guisong Liu

Knowl. Based Syst., 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

Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation.

Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

Dynamic Layer-Wise Strategy for Parameter-Efficient Fine-Tuning.

Guowei Peng, Yuning Yang, Dongyang Zhang, Xiurui Xie, Anning Jiang, Fangyi Ding

Proceedings of the 2025 8th International Conference on Software Engineering and Information Management, 2025

Flexible Sharpness-Aware Personalized Federated Learning.

Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang, Guisong Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Adaptive Dataset Quantization.

Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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., December, 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., September, 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

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

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

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

Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation.

Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Human-Level Control Through Directly Trained Deep Spiking Q-Networks.

Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang

IEEE Trans. Cybern., November, 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., November, 2023

Bio-inspired Active Learning method in spiking neural network.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun

Knowl. Based Syst., 2023

ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling.

Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang

CoRR, 2023

2022

Effective Transfer Learning Algorithm in Spiking Neural Networks.

Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang

IEEE Trans. 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

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

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

Efficient dynamic domain adaptation on deep CNN.

Zeheng Yang, Guisong Liu, Xiurui Xie, Qing Cai

Multim. Tools Appl., 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

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

Neurocomputing, 2020

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

Multi-source sequential knowledge regression by using transfer RNN units.

Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu

Neural Networks, 2019

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

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

2017

Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method.

Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths

IEEE Trans. Neural Networks Learn. Syst., 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 networks via the normalized perceptron based learning rule.

Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang

Neurocomputing, 2017

2016

Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution.

Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths

IEEE Trans. Cybern., 2016

2015

Improved perception-based spiking neuron learning rule for real-time user authentication.

Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu

Neurocomputing, 2015

2014

Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks.

Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu

Proceedings of the Neural Information Processing - 21st International Conference, 2014