Xuming Ran

According to our database, Xuming Ran authored at least 14 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Efficient ANN-SNN Conversion with Error Compensation Learning.

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

CoRR, 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

2024

Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling.

Songming Zhang, Xiaofeng Chen, Xuming Ran, Zhongshan Li, Wenming Cao

Eng. Appl. Artif. Intell., 2024

Brain-inspired continual pre-trained learner via silent synaptic consolidation.

Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu

CoRR, 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

AdaViPro: Region-Based Adaptive Visual Prompt For Large-Scale Models Adapting.

Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang

Proceedings of the IEEE International Conference on Image Processing, 2024

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

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

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

2021

Deep Auto-encoder with Neural Response.

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

CoRR, 2021

Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review.

Jie Yuan, Xuming Ran, Keyin Liu, Chen Yao, Yi Yao, Haiyan Wu, Quanying Liu

CoRR, 2021

2020

Combining DC-GAN with ResNet for blood cell image classification.

Li Ma, Renjun Shuai, Xuming Ran, Wenjia Liu, Chao Ye

Medical Biol. Eng. Comput., 2020

Bigeminal Priors Variational auto-encoder.

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

CoRR, 2020

2019

Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image.

Lingrui Mei, Xuming Ran, Jin Hu

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019