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ORCIDQi Xu 0008
徐齐
Person information
- unicode name: 徐齐
- affiliation: Dalian University of Technology, School of Computer Science and Technology, China
- affiliation (PhD 2021): Zhejiang University, College of Computer Science and Technology, Hangzhou, China
- affiliation (former): University of Leicester, Centre for Systems Neuroscience, UK
Other persons with the same name
- Qi Xu — disambiguation page
- Qi Xu 0001
![[0000-0003-2912-5694]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-2912-5694")
— Central China Normal University, Hubei Key Laboratory of Digital Education, Wuhan, China - Qi Xu 0002 — Northeast Electric Power University, School of Computer Science, Jilin, China (and 1 more)
- Qi Xu 0003 — Southeast University, School of Biological Science and Medical Engineering, Nanjing, China
- Qi Xu 0004 — University of Science and Technology of China, Hefei, China
- Qi Xu 0005 — Meta, Sunnyvale, CA, USA
- Qi Xu 0006 — University of Texas at Austin, Medical School, Department of Oncology, TX, USA
- Qi Xu 0007 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China (and 1 more)
- Qi Xu 0009 — Donghua University, Glorious Sun School of Business and Management, Shanghai, China
- Qi Xu 0010 — Tongji University, College of Surveying and Geo-Informatics, Shanghai Key Laboratory of Space Mapping and Remote Sensing for Planetary Exploration, Shanghai, China
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2020 – today
- 2026
[j23]Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li:
Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. ACM Comput. Surv. 58(3): 62:1-62:34 (2026)- 2025
- [j22]Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang:
Context gating in spiking neural networks: Achieving lifelong learning through integration of local and global plasticity. Knowl. Based Syst. 311: 112999 (2025) - [j21]Jiangrong Shen, Kejun Wang, Wei Gao, Jian K. Liu, Qi Xu, Gang Pan, Xiaodong Chen, Huajin Tang:
Temporal spiking generative adversarial networks for heading direction decoding. Neural Networks 184: 106975 (2025) - [j20]Dayu Tan, Linfeng Hua, Rui Hao, Qi Xu, Yansen Su, Chunhou Zheng, Weimin Zhong:
Performer: A High-Performance Global-Local Model-Augmented With Dual Network Interaction Mechanism. IEEE Trans. Cogn. Dev. Syst. 17(4): 794-808 (2025) - [j19]Long Chen, Haohan Yu, Xirui Dong, Yaxin Li, Jialie Shen, Jiangrong Shen, Qi Xu:
BAUODNET for Class Imbalance Learning in Underwater Object Detection. IEEE Trans. Emerg. Top. Comput. Intell. 9(3): 2452-2461 (2025) - [j18]Tong Wang, Su-Jin Shin, Mingkang Wang, Qi Xu, Guiyang Jiang, Fengyu Cong, Jeonghyun Kang, Hongming Xu:
Multi-Task Adaptive Resolution Network for Lymph Node Metastasis Diagnosis From Whole Slide Images of Colorectal Cancer. IEEE J. Biomed. Health Informatics 29(1): 420-432 (2025) - [j17]Qi Xu, Sibo Liu, Xuming Ran, Yaxin Li, Jiangrong Shen, Huajin Tang, Jian K. Liu, Gang Pan, Qiang Zhang:
Robust Sensory Information Reconstruction and Classification With Augmented Spikes. IEEE Trans. Neural Networks Learn. Syst. 36(4): 7462-7471 (2025) - [c31]Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu:
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. AAAI 2025: 1265-1273 - [c30]Wei Miao, Jiangrong Shen, Qi Xu, Timo Hämäläinen, Yi Xu, Fengyu Cong:
SpikingYOLOX: Improved YOLOX Object Detection with Fast Fourier Convolution and Spiking Neural Networks. AAAI 2025: 1465-1473 - [c29]Yusong Wang, Xuanye Fang, Huifeng Yin, Dongyuan Li, Guoqi Li, Qi Xu, Yi Xu, Shuai Zhong, Mingkun Xu:
BIG-FUSION: Brain-Inspired Global-Local Context Fusion Framework for Multimodal Emotion Recognition in Conversations. AAAI 2025: 1574-1582 - [c28]Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang:
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. AAAI 2025: 19712-19720 - [c27]Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu:
FSTA-SNN: Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks. AAAI 2025: 22227-22235 - [c26]Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu:
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CVPR 2025: 8806-8816 - [c25]Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang:
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks. CVPR 2025: 13959-13969 - [c24]Tong Wang, Mingkang Wang, Zhongze Wang, Hongkai Wang, Qi Xu, Fengyu Cong, Hongming Xu:
ODA-GAN: Orthogonal Decoupling Alignment GAN Assisted by Weakly-supervised Learning for Virtual Immunohistochemistry Staining. CVPR 2025: 25920-25929 - [c23]Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen:
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency. ICLR 2025 - [c22]Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan:
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. ICML 2025 - [c21]Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang:
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning. ICML 2025 - [c20]Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan:
Efficient ANN-SNN Conversion with Error Compensation Learning. ICML 2025 - [c19]Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo Song, Qi Xu, Prayag Tiwari, Mingkun Xu:
Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance. ICML 2025 - [c18]Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang:
TS-SNN: Temporal Shift Module for Spiking Neural Networks. ICML 2025 - [c17]Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Ilkka Pölönen, Fengyu Cong:
Dual Selective Gleason Pattern-Aware Multiple Instance Learning for Grade Group Prediction in Histopathology Images. MICCAI (15) 2025: 187-196 - [c16]Xinyu Hao, Hongming Xu, Qibin Zhang, Qi Xu, Xiaofeng Wang, Ilkka Pölönen, Fengyu Cong:
Predicting Radiation Therapy Response Based on Dynamic Temporal Feature Difference Fusion from Longitudinal MRI. MICCAI (16) 2025: 440-449 - [c15]Wei Miao, Jiangrong Shen, Hongming Xu, Tommi Kärkkäinen, Qi Xu, Yi Xu, Fengyu Cong:
Advanced SpikingYOLOX: Extending Spiking Neural Network on Object Detection with Spike-based Partial Self-Attention and 2D-Spiking Transformer. ACM Multimedia 2025: 10837-10846 - [c14]Jiangrong Shen, Yulin Xie, Qi Xu, Gang Pan, Huajin Tang, Badong Chen:
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning. ACM Multimedia 2025: 11042-11051 - [i22]Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu:
FSTA-SNN:Frequency-based Spatial-Temporal Attention Module for Spiking Neural Networks. CoRR abs/2501.14744 (2025) - [i21]Jiangrong Shen, Qi Xu, Gang Pan, Badong Chen:
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency. CoRR abs/2502.13572 (2025) - [i20]Tianqing Zhang, Kairong Yu, Xian Zhong, Hongwei Wang, Qi Xu, Qiang Zhang:
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks. CoRR abs/2503.02689 (2025) - [i19]Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu:
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks. CoRR abs/2503.03144 (2025) - [i18]Kairong Yu, Tianqing Zhang, Qi Xu, Gang Pan, Hongwei Wang:
TS-SNN: Temporal Shift Module for Spiking Neural Networks. CoRR abs/2505.04165 (2025) - [i17]Qi Xu, Jie Deng, Jiangrong Shen, Biwu Chen, Huajin Tang, Gang Pan:
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras. CoRR abs/2505.07715 (2025) - [i16]Qi Xu, Junyang Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang:
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning. CoRR abs/2505.07921 (2025) - [i15]Jiangrong Shen, Yulin Xie, Qi Xu, Gang Pan, Huajin Tang, Badong Chen:
Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning. CoRR abs/2505.14535 (2025) - [i14]Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan:
Efficient ANN-SNN Conversion with Error Compensation Learning. CoRR abs/2506.01968 (2025) - 2024
- [j16]Ranran Wang, Yusong Qiu, Xinyu Hao, Shan Jin, Junxiu Gao, Heng Qi, Qi Xu, Yong Zhang, Hongming Xu:
Simultaneously segmenting and classifying cell nuclei by using multi-task learning in multiplex immunohistochemical tissue microarray sections. Biomed. Signal Process. Control. 93: 106143 (2024) - [j15]Yaxin Li, Xuanye Fang, Yuyuan Gao, Dongdong Zhou, Jiangrong Shen, Jian K. Liu, Gang Pan, Qi Xu:
Efficient Structure Slimming for Spiking Neural Networks. IEEE Trans. Artif. Intell. 5(8): 3823-3831 (2024) - [j14]Dongdong Zhou, Qi Xu, Jiacheng Zhang, Lei Wu, Hongming Xu, Lauri Kettunen, Zheng Chang, Qiang Zhang, Fengyu Cong:
Interpretable Sleep Stage Classification Based on Layer-Wise Relevance Propagation. IEEE Trans. Instrum. Meas. 73: 1-10 (2024) - [j13]Long Chen, Yunzhou Xie, Yaxin Li, Qi Xu, Junyu Dong:
CWSCNet: Channel-Weighted Skip Connection Network for Underwater Object Detection. IEEE Trans. Image Process. 33: 5206-5218 (2024) - [j12]Pengyu Zhang, Hao Ju, Lei Yu, Weihua He, Yaoyuan Wang, Ziyang Zhang, Qi Xu, Shengming Li, Dong Wang, Huchuan Lu, Xu Jia:
Event-Assisted Blurriness Representation Learning for Blurry Image Unfolding. IEEE Trans. Image Process. 33: 5824-5836 (2024) - [j11]Qi Xu, Yaxin Li, Jiangrong Shen, Pingping Zhang, Jian K. Liu, Huajin Tang, Gang Pan:
Hierarchical Spiking-Based Model for Efficient Image Classification With Enhanced Feature Extraction and Encoding. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9277-9285 (2024) - [c13]Jiangrong Shen, Wenyao Ni, Qi Xu, Huajin Tang:
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning. AAAI 2024: 611-619 - [c12]Tingting Jiang, Qi Xu, Xuming Ran, Jiangrong Shen, Pan Lv, Qiang Zhang, Gang Pan:
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism. ICLR 2024 - [c11]Jianing Han, Jiangrong Shen, Qi Xu, Jian K. Liu, Huajin Tang:
The Balanced Multi-Modal Spiking Neural Networks with Online Loss Adjustment and Time Alignment. ICME 2024: 1-6 - [c10]Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards efficient deep spiking neural networks construction with spiking activity based pruning. ICML 2024 - [c9]Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Qiang Zhang, Gang Pan:
Reversing Structural Pattern Learning with Biologically Inspired Knowledge Distillation for Spiking Neural Networks. ACM Multimedia 2024: 3431-3439 - [c8]Qi Xu, Xuanye Fang, Yaxin Li, Jiangrong Shen, De Ma, Yi Xu, Gang Pan:
RSNN: Recurrent Spiking Neural Networks for Dynamic Spatial-Temporal Information Processing. ACM Multimedia 2024: 10602-10610 - [i13]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. CoRR abs/2401.03719 (2024) - [i12]Yaxin Li, Qi Xu, Jiangrong Shen, Hongming Xu, Long Chen, Gang Pan:
Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning. CoRR abs/2406.01072 (2024) - [i11]Jiangrong Shen, Wenyao Ni, Qi Xu, Gang Pan, Huajin Tang:
Context Gating in Spiking Neural Networks: Achieving Lifelong Learning through Integration of Local and Global Plasticity. CoRR abs/2406.01883 (2024) - [i10]Long Chen, Yuzhi Huang, Junyu Dong, Qi Xu, Sam Kwong, Huimin Lu, Huchuan Lu, Chongyi Li:
Underwater Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future. CoRR abs/2410.05577 (2024) - [i9]Wenyao Ni, Jiangrong Shen, Qi Xu, Huajin Tang:
ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning. CoRR abs/2412.12696 (2024) - [i8]Yuhong Chen, Ailin Song, Huifeng Yin, Shuai Zhong, Fuhai Chen, Qi Xu, Shiping Wang, Mingkun Xu:
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency. CoRR abs/2412.12801 (2024) - 2023
- [j10]Shan Jin, Hongming Xu, Yue Dong, Xinyu Hao, Fengying Qin, Qi Xu, Yong Zhu, Fengyu Cong:
Automatic cervical cancer segmentation in multimodal magnetic resonance imaging using an EfficientNet encoder in UNet++ architecture. Int. J. Imaging Syst. Technol. 33(1): 362-377 (2023) - [c7]Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. AAAI 2023: 86-93 - [c6]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CVPR 2023: 7886-7895 - [c5]Zihang Shao, Xuanye Fang, Yaxin Li, Chaoran Feng, Jiangrong Shen, Qi Xu:
EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks. NeurIPS 2023 - [c4]Qi Xu, Yuyuan Gao, Jiangrong Shen, Yaxin Li, Xuming Ran, Huajin Tang, Gang Pan:
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks. NeurIPS 2023 - [i7]Qi Xu, Yaxin Li, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation. CoRR abs/2304.05627 (2023) - [i6]Qi Xu, Yaxin Li, Xuanye Fang, Jiangrong Shen, Jian K. Liu, Huajin Tang, Gang Pan:
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks. CoRR abs/2304.09500 (2023) - [i5]Jiangrong Shen, Qi Xu, Jian K. Liu, Yueming Wang, Gang Pan, Huajin Tang:
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks. CoRR abs/2306.03693 (2023) - 2022
- [j9]Dongdong Zhou, Jian Wang, Guoqiang Hu, Jiacheng Zhang, Fan Li, Rui Yan, Lauri Kettunen, Zheng Chang, Qi Xu, Fengyu Cong:
SingleChannelNet: A model for automatic sleep stage classification with raw single-channel EEG. Biomed. Signal Process. Control. 75: 103592 (2022) - [j8]Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks 145: 199-208 (2022) - [j7]Dongdong Zhou, Qi Xu, Jian Wang, Hongming Xu, Lauri Kettunen, Zheng Chang, Fengyu Cong:
Alleviating Class Imbalance Problem in Automatic Sleep Stage Classification. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j6]Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu:
Robust Transcoding Sensory Information With Neural Spikes. IEEE Trans. Neural Networks Learn. Syst. 33(5): 1935-1946 (2022) - [c3]Qi Xu, Dongdong Zhou, Jian Wang, Jiangrong Shen, Lauri Kettunen, Fengyu Cong:
Convolutional Neural Network Based Sleep Stage Classification with Class Imbalance. IJCNN 2022: 1-6 - 2021
- [c2]Dongdong Zhou, Qi Xu, Jian Wang, Jiacheng Zhang, Guoqiang Hu, Lauri Kettunen, Zheng Chang, Fengyu Cong:
LightSleepNet: A Lightweight Deep Model for Rapid Sleep Stage Classification with Spectrograms. EMBC 2021: 43-46 - [i4]Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu:
Deep Auto-encoder with Neural Response. CoRR abs/2111.15309 (2021) - 2020
- [j5]Qi Xu, Jianxin Peng, Jiangrong Shen, Huajin Tang, Gang Pan:
Deep CovDenseSNN: A hierarchical event-driven dynamic framework with spiking neurons in noisy environment. Neural Networks 121: 512-519 (2020) - [j4]Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5300-5311 (2020) - [i3]Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu:
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR abs/2007.08128 (2020) - [i2]Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu:
Bigeminal Priors Variational auto-encoder. CoRR abs/2010.01819 (2020)
2010 – 2019
- 2019
- [j3]Qi Xu, Ming Zhang, Zonghua Gu, Gang Pan:
Overfitting remedy by sparsifying regularization on fully-connected layers of CNNs. Neurocomputing 328: 69-74 (2019) - [i1]Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. CoRR abs/1911.08261 (2019) - 2018
- [c1]Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan:
CSNN: An Augmented Spiking based Framework with Perceptron-Inception. IJCAI 2018: 1646-1652 - 2017
- [j2]De Ma, Juncheng Shen, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan:
Darwin: A neuromorphic hardware co-processor based on spiking neural networks. J. Syst. Archit. 77: 43-51 (2017) - 2016
- [j1]Juncheng Shen, De Ma, Zonghua Gu, Ming Zhang, Xiaolei Zhu, Xiaoqiang Xu, Qi Xu, Yangjing Shen, Gang Pan:
Darwin: a neuromorphic hardware co-processor based on Spiking Neural Networks. Sci. China Inf. Sci. 59(2): 1-5 (2016)
Coauthor Index
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