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2020 – today
- 2024
[j4]Songming Zhang
, Xiaofeng Chen, Xuming Ran, Zhongshan Li, Wenming Cao:
Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling. Eng. Appl. Artif. Intell. 133: 108224 (2024)- [c3]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 - [i7]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) - [i6]Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang:
AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting. CoRR abs/2403.13282 (2024) - [i5]Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu:
Brain-inspired continual pre-trained learner via silent synaptic consolidation. CoRR abs/2410.05899 (2024) - 2023
- [c2]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 - 2022
- [j3]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) - [j2]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) - 2021
- [i4]Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu:
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review. CoRR abs/2102.03336 (2021) - [i3]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
- [j1]Li Ma, Renjun Shuai, Xuming Ran, Wenjia Liu, Chao Ye:
Combining DC-GAN with ResNet for blood cell image classification. Medical Biol. Eng. Comput. 58(6): 1251-1264 (2020) - [i2]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) - [i1]Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu:
Bigeminal Priors Variational auto-encoder. CoRR abs/2010.01819 (2020)
2010 – 2019
- 2019
- [c1]Lingrui Mei, Xuming Ran, Jin Hu:
Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image. SSCI 2019: 1574-1578
Coauthor Index
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