Xuming Ran

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 13

Top Topics

Learned From Training Data

Sensory Information

Recurrent Neural Networks

Weakly Supervised

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Eng. Appl. Artif. Intell.

Publications

Mengyu Yang, Ye Tian, Lanshan Zhang, Xiao Liang, Xuming Ran, Wendong Wang
AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting. CoRR (2024)
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)
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 (2024)
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 (2024)
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)
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) (2022)
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 (2022)
Xuming Ran, Jie Zhang, Ziyuan Ye, Haiyan Wu, Qi Xu, Huihui Zhou, Quanying Liu
Deep Auto-encoder with Neural Response. CoRR (2021)
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 (2021)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR (2020)
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) (2020)
Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
Bigeminal Priors Variational auto-encoder. CoRR (2020)
Lingrui Mei, Xuming Ran, Jin Hu
Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image. SSCI (2019)