Xiurui Xie - RankMe

49 papers A* 6Journal 40Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents. AAAI Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang
2026	J	`jnl`	Rethinking attention cues: Multi-Factor guided token pruning for efficient vision-language understanding. Knowl. Based Syst. Deng Luo, Dongyang Zhang, Qiuhao Xie, Cencen Liu, Qiang Dong, Xiurui Xie
2026	J	`jnl`	SEMQ: Efficient non-uniform quantization with sensitivity-based error minimization for large language models. Future Gener. Comput. Syst. Dongmin Li, Xiurui Xie, Dongyang Zhang, Athanasios V. Vasilakos, Man-Fai Leung
2026	A*	`conf`	SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning. AAAI Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian, Guisong Liu
2026	J	`jnl`	SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning. CoRR Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian, Guisong Liu
2026	A*	`conf`	TiCAL: Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition. AAAI Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He
2025	—	`conf`	A MoE-based Safety Fine-tuning Method for Multimodal Large Language Models. ICSIM Runjia Zhang, Qi Xue, Nanxin Zhang, Yu Wang, Xiurui Xie, Dongyang Zhang
2025	J	`jnl`	A deep reinforcement active learning method for multi-label image classification. Comput. Vis. Image Underst. Qing Cai, Ran Tao, Xiufen Fang, Xiurui Xie, Guisong Liu
2025	A*	`conf`	Adaptive Dataset Quantization. AAAI Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin
2025	J	`jnl`	Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation. CoRR Muquan Li, Hang Gou, Dongyang Zhang, Shuang Liang, Xiurui Xie, Deqiang Ouyang, Ke Qin
2025	J	`jnl`	Bid Farewell to Seesaw: Towards Accurate Long-tail Session-based Recommendation via Dual Constraints of Hybrid Intents. CoRR Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang
2025	—	`conf`	Dynamic Layer-Wise Strategy for Parameter-Efficient Fine-Tuning. ICSIM Guowei Peng, Yuning Yang, Dongyang Zhang, Xiurui Xie, Anning Jiang, Fangyi Ding
2025	J	`jnl`	EMWQ: An Efficient Mixed Precision Weight Quantization Method for Large Language Models. IEEE Trans. Neural Networks Learn. Syst. Yuning Yang, Xiurui Xie, Guowei Peng, Malu Zhang, Guangchun Luo, Yang Yang, Guisong Liu
2025	J	`jnl`	Falcon: A Cross-Modal Evaluation Dataset for Comprehensive Safety Perception. CoRR Qi Xue, Minrui Jiang, Runjia Zhang, Xiurui Xie, Pei Ke, Guisong Liu
2025	A*	`conf`	Flexible Sharpness-Aware Personalized Federated Learning. AAAI Xinda Xing, Qiugang Zhan, Xiurui Xie, Yuning Yang, Qiang Wang, Guisong Liu
2025	J	`jnl`	Safe and effective post-fine-tuning alignment in large language models. Knowl. Based Syst. Minrui Jiang, Yuning Yang, Xiurui Xie, Pei Ke, Guisong Liu
2025	J	`jnl`	TiCAL:Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition. CoRR Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He
2025	J	`jnl`	Toward lightweight image super-resolution via re-parameterized kernel recalibration. Knowl. Based Syst. Dongyang Zhang, Jiachi Liu, Shuang Liang, Xiurui Xie, Qiang Dong, Ke Qin
2024	J	`jnl`	A two-stage spiking meta-learning method for few-shot classification. Knowl. Based Syst. Qiugang Zhan, Bingchao Wang, Anning Jiang, Xiurui Xie, Malu Zhang, Guisong Liu
2024	J	`jnl`	Adaptive Dataset Quantization. CoRR Muquan Li, Dongyang Zhang, Qiang Dong, Xiurui Xie, Ke Qin
2024	J	`jnl`	Effective Active Learning Method for Spiking Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Xiurui Xie, Bei Yu, Guisong Liu, Qiugang Zhan, Huajin Tang
2024	J	`jnl`	Event-Driven Spiking Learning Algorithm Using Aggregated Labels. IEEE Trans. Neural Networks Learn. Syst. Xiurui Xie, Yansong Chua, Guisong Liu, Malu Zhang, Guangchun Luo, Huajin Tang
2024	J	`jnl`	Federated learning for spiking neural networks by hint-layer knowledge distillation. Appl. Soft Comput. Xiurui Xie, Jingxuan Feng, Guisong Liu, Qiugang Zhan, Zhetong Liu, Malu Zhang
2024	J	`jnl`	SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning. CoRR Qiugang Zhan, Jinbo Cao, Xiurui Xie, Malu Zhang, Huajin Tang, Guisong Liu
2024	J	`jnl`	Spiking Transfer Learning From RGB Image to Neuromorphic Event Stream. IEEE Trans. Image Process. Qiugang Zhan, Guisong Liu, Xiurui Xie, Ran Tao, Malu Zhang, Huajin Tang
2024	A*	`conf`	Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. ACM Multimedia Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin
2024	J	`jnl`	Towards Effective Data-Free Knowledge Distillation via Diverse Diffusion Augmentation. CoRR Muquan Li, Dongyang Zhang, Tao He, Xiurui Xie, Yuan-Fang Li, Ke Qin
2023	J	`jnl`	Active learning in multi-label image classification with graph convolutional network embedding. Future Gener. Comput. Syst. Xiurui Xie, Maojun Tian, Guangchun Luo, Guisong Liu, Yizhe Wu, Ke Qin
2023	J	`jnl`	Bio-inspired Active Learning method in spiking neural network. Knowl. Based Syst. Qiugang Zhan, Guisong Liu, Xiurui Xie, Malu Zhang, Guolin Sun
2023	J	`jnl`	ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling. CoRR Qiugang Zhan, Xiurui Xie, Guisong Liu, Malu Zhang
2023	J	`jnl`	Human-Level Control Through Directly Trained Deep Spiking Q-Networks. IEEE Trans. Cybern. Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
2022	J	`jnl`	A deep learning approach for insulator instance segmentation and defect detection. Neural Comput. Appl. Eldad Antwi-Bekoe, Guisong Liu, Jean-Paul Ainam, Guolin Sun, Xiurui Xie
2022	J	`jnl`	Effective Transfer Learning Algorithm in Spiking Neural Networks. IEEE Trans. Cybern. Qiugang Zhan, Guisong Liu, Xiurui Xie, Guolin Sun, Huajin Tang
2022	J	`jnl`	Human-Level Control through Directly-Trained Deep Spiking Q-Networks. CoRR Guisong Liu, Wenjie Deng, Xiurui Xie, Li Huang, Huajin Tang
2022	J	`jnl`	When to transfer: a dynamic domain adaptation method for effective knowledge transfer. Int. J. Mach. Learn. Cybern. Xiurui Xie, Qing Cai, Hongjie Zhang, Malu Zhang, Zeheng Yang, Guisong Liu
2020	J	`jnl`	A neural-network-based framework for cigarette laser code identification. Neural Comput. Appl. Zeheng Yang, Xiurui Xie, Qiugang Zhan, Guisong Liu, Qing Cai, Xu Zheng
2020	J	`jnl`	An end-to-end functional spiking model for sequential feature learning. Knowl. Based Syst. Xiurui Xie, Guisong Liu, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu
2020	J	`jnl`	Efficient dynamic domain adaptation on deep CNN. Multim. Tools Appl. Zeheng Yang, Guisong Liu, Xiurui Xie, Qing Cai
2020	J	`jnl`	Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing Malu Zhang, Jibin Wu, Ammar Belatreche, Zihan Pan, Xiurui Xie, Yansong Chua, Guoqi Li, Hong Qu, Haizhou Li
2019	J	`jnl`	Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu
2019	J	`jnl`	The maximum points-based supervised learning rule for spiking neural networks. Soft Comput. Xiurui Xie, Guisong Liu, Qing Cai, Hong Qu, Malu Zhang
2018	J	`jnl`	EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons. IEEE Trans. Cogn. Dev. Syst. Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie
2018	J	`jnl`	Feedforward Computational Model for Pattern Recognition with Spiking neurons. Int. J. Robotics Autom. Malu Zhang, Hong Qu, Jianping Li, Ammar Belatreche, Xiurui Xie, Zhi Zeng
2017	J	`jnl`	Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. IEEE Trans. Neural Networks Learn. Syst. Xiurui Xie, Hong Qu, Zhang Yi, Jürgen Kurths
2017	J	`jnl`	Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule. Neurocomputing Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang
2017	J	`jnl`	Supervised learning in spiking neural networks with noise-threshold. Neurocomputing Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths
2016	J	`jnl`	Evolving Scale-Free Networks by Poisson Process: Modeling and Degree Distribution. IEEE Trans. Cybern. Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths
2015	J	`jnl`	Improved perception-based spiking neuron learning rule for real-time user authentication. Neurocomputing Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu
2014	—	`conf`	Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. ICONIP (1) Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu