Qi Xu

According to our database, Qi Xu authored at least 70 papers between 2016 and 2026.

Collaborative distances:

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

2026

Reversible Lifelong Model Editing via Semantic Routing-Based LoRA.

Haihua Luo, Xuming Ran, Tommi Kärkkäinen, Zhonghua Chen, Jiangrong Shen, Qi Xu, Fengyu Cong

CoRR, March, 2026

A Simple Efficiency Incremental Learning Framework via Vision-Language Model with Nonlinear Multi-Adapters.

Haihua Luo, Xuming Ran, Jiangrong Shen, Timo Hämäläinen, Zhonghua Chen, Qi Xu, Fengyu Cong

CoRR, March, 2026

Representation Finetuning for Continual Learning.

Haihua Luo, Xuming Ran, Tommi Kärkkäinen, Huiyan Xue, Zhonghua Chen, Qi Xu, Fengyu Cong

CoRR, March, 2026

Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future.

Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li

ACM Comput. Surv., February, 2026

Generic-to-Personalised Learning for Multimodal Image Synthesis With Bidirectional Variational GAN.

Long Chen, Xirui Dong, Jiangrong Shen, Lu Zhang, Qi Xu, Gang Pan, Qiang Zhang

IEEE Trans. Multim., 2026

Context-Infused Trajectories: Enhancing Context and Frame Consistency in Reasoning Video Object Segmentation.

Yunzhi Zhuge, Sitong Gong, Lu Zhang, Qi Xu, Wenda Zhao, Jin Zhan, Huchuan Lu

IEEE Trans. Image Process., 2026

Key-value pair-free continual learner via task-specific prompt-prototype.

Haihua Luo, Xuming Ran, Zhengji Li, Huiyan Xue, Tingting Jiang, Jiangrong Shen, Tommi Kärkkäinen, Qi Xu, Fengyu Cong

Neural Networks, 2026

A complex-valued widening spiking neural network.

Fang Liu, Witold Pedrycz, Qi Xu, Lijun Liu, Jialin Xu, Jie Yang, Wei Wu

Neural Networks, 2026

Dual selective gleason pattern-aware multiple instance learning with uncertainty regularization for grade group prediction in histopathology images.

Xinyu Hao, Hongming Xu, Jingdong Zhang, Qi Xu, Ilkka Pölönen, Fengyu Cong

Medical Image Anal., 2026

Evaluating spatial normalization for SVM-based EEG decoding: A within- and between-subjects perspective.

Yuan Qin, Qi Xu, Tuomo Kujala, Xiaoshuang Wang, Fengyu Cong

Biomed. Signal Process. Control., 2026

Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory.

Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li, Yi Xu, Qiang Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals.

Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Spatial-Frequency Spiking Neural Network for Underwater Object Detection.

Long Chen, Wei Miao, Xin Gao, Yunzhi Zhuge, Hongming Xu, Yaxin Li, Qi Xu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Performer: A High-Performance Global-Local Model-Augmented With Dual Network Interaction Mechanism.

Dayu Tan, Linfeng Hua, Rui Hao, Qi Xu, Yansen Su, Chunhou Zheng, Weimin Zhong

IEEE Trans. Cogn. Dev. Syst., August, 2025

BAUODNET for Class Imbalance Learning in Underwater Object Detection.

Long Chen, Haohan Yu, Xirui Dong, Yaxin Li, Jialie Shen, Jiangrong Shen, Qi Xu

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Robust Sensory Information Reconstruction and Classification With Augmented Spikes.

Qi Xu, Sibo Liu, Xuming Ran, Yaxin Li, Jiangrong Shen, Huajin Tang, Jian K. Liu, Gang Pan, Qiang Zhang

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

Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer.

Tong Wang, Su-Jin Shin, Mingkang Wang, Qi Xu, Guiyang Jiang, Fengyu Cong, Jeonghyun Kang, Hongming Xu

IEEE J. Biomed. Health Informatics, January, 2025

FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks.

Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu

CoRR, January, 2025

Temporal spiking generative adversarial networks for heading direction decoding.

Jiangrong Shen, Kejun Wang, Wei Gao, Jian K. Liu, Qi Xu, Gang Pan, Xiaodong Chen, Huajin Tang

Neural Networks, 2025

Context gating in spiking neural networks: Achieving lifelong learning through integration of local and global plasticity.

Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang

Knowl. Based Syst., 2025

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning.

Jiangrong Shen, Yulin Xie, Qi Xu, Gang Pan, Huajin Tang, Badong Chen

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Advanced SpikingYOLOX: Extending Spiking Neural Network on Object Detection with Spike-based Partial Self-Attention and 2D-Spiking Transformer.

Wei Miao, Jiangrong Shen, Hongming Xu, Tommi Kärkkäinen, Qi Xu, Yi Xu, Fengyu Cong

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI.

Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Xiaofeng Wang, Ilkka Pölönen, Fengyu Cong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images.

Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Ilkka Pölönen, Fengyu Cong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

TS-SNN: Temporal Shift Module for Spiking Neural Networks.

Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance.

Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Efficient ANN-SNN Conversion with Error Compensation Learning.

Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning.

Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras.

Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency.

Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks.

Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks.

Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining.

Tong Wang, Mingkang Wang, Zhongze Wang, Hongkai Wang, Qi Xu, Fengyu Cong, Hongming Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks.

Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu

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

BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations.

Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu

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

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning.

Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang

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

SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks.

Wei Miao, Jiangrong Shen, Qi Xu, Timo Hämäläinen, Yi Xu, Fengyu Cong

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

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency.

Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu

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

2024

Efficient Structure Slimming for Spiking Neural Networks.

Yaxin Li, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu

IEEE Trans. Artif. Intell., August, 2024

Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding.

Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding.

Pengyu Zhang, Hao Ju, Lei Yu, Weihua He, Yaoyuan Wang, Ziyang Zhang, Qi Xu, Shengming Li, Dong Wang, Huchuan Lu, Xu Jia

IEEE Trans. Image Process., 2024

CWSCNet: Channel-Weighted Skip Connection Network for Underwater Object Detection.

Long Chen, Yunzhou Xie, Yaxin Li, Qi Xu, Junyu Dong

IEEE Trans. Image Process., 2024

Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation.

Dongdong Zhou, Qi Xu, Jiacheng Zhang, Lei Wu, Hongming Xu, Lauri Kettunen, Zheng Chang, Qiang Zhang, Fengyu Cong

IEEE Trans. Instrum. Meas., 2024

Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future.

Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li

CoRR, 2024

Simultaneously segmenting and classifying cell nuclei by using multi-task learning in multiplex immunohistochemical tissue microarray sections.

Ranran Wang, Yusong Qiu, Xinyu Hao, Shan Jin, Junxiu Gao, Heng Qi, Qi Xu, Yong Zhang, Hongming Xu

Biomed. Signal Process. Control., 2024

Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks.

Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Qiang Zhang, Gang Pan

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

RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing.

Qi Xu, Xuanye Fang, Yaxin Li, Jiangrong Shen, De Ma, Yi Xu, Gang Pan

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

Towards efficient deep spiking neural networks construction with spiking activity based pruning.

Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment.

Jianing Han, Jiangrong Shen, Qi Xu, Jian K. Liu, Huajin Tang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism.

Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning.

Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture.

Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Qi Xu, Yong Zhu, Fengyu Cong

Int. J. Imaging Syst. Technol., January, 2023

Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks.

Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

CoRR, 2023

Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks.

Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks.

Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.

Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks.

Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Transcoding Sensory Information With Neural Spikes.

Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification.

Dongdong Zhou, Qi Xu, Jian Wang, Hongming Xu, Lauri Kettunen, Zheng Chang, Fengyu Cong

IEEE Trans. Instrum. Meas., 2022

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

Neural Networks, 2022

SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG.

Dongdong Zhou, Jian Wang, Guoqiang Hu, Jiacheng Zhang, Fan Li, Rui Yan, Lauri Kettunen, Zheng Chang, Qi Xu, Fengyu Cong

Biomed. Signal Process. Control., 2022

Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance.

Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Deep Auto-encoder with Neural Response.

Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2021

LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms.

Dongdong Zhou, Qi Xu, Jian Wang, Jiacheng Zhang, Guoqiang Hu, Lauri Kettunen, Zheng Chang, Fengyu Cong

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons.

Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang

IEEE Trans. Neural Networks Learn. Syst., 2020

Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment.

Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan

Neural Networks, 2020

Bigeminal Priors Variational auto-encoder.

Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2020

2019

Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs.

Qi Xu, Ming Zhang, Zonghua Gu, Gang Pan

Neurocomputing, 2019

2018

CSNN: An Augmented Spiking based Framework with Perceptron-Inception.

Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2016

Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks.

Juncheng Shen, De Ma, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan

Sci. China Inf. Sci., 2016