Combining DC-GAN with ResNet for blood cell image classification L Ma, R Shuai, X Ran, W Liu, C Ye Medical & biological engineering & computing 58, 1251-1264, 2020 | 112 | 2020 |
Machine Learning Applications on Neuroimaging for Diagnosis and Prognosis of Epilepsy: A Review J Yuan, X Ran, K Liu, C Yao, Y Yao, H Wu, Q Liu Journal of Neuroscience Methods 368, 109441, 2022 | 43 | 2022 |
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation X Ran, M Xu, L Mei, Q Xu, Q Liu Neural Networks 145, 199-208, 2022 | 41 | 2022 |
Robust transcoding sensory information with neural spikes Q Xu, J Shen, X Ran, H Tang, G Pan, JK Liu IEEE Transactions on Neural Networks and Learning Systems(NNLS) 33 (5), 1935 …, 2021 | 32 | 2021 |
Photocatalytic vinyl radical-mediated multicomponent 1, 4-/1, 8-carboimination across alkynes and olefins/(hetero) arenes SS Li, YS Jiang, XL Luo, X Ran, Y Li, D Wu, CX Pan, PJ Xia Science China Chemistry 67 (2), 558-567, 2024 | 6 | 2024 |
Deep auto-encoder with neural response X Ran, J Zhang, Z Ye, H Wu, Q Xu, H Zhou, Q Liu arXiv preprint arXiv:2111.15309, 2021 | 6 | 2021 |
Bigeminal priors variational auto-encoder X Ran, M Xu, Q Xu, H Zhou, Q Liu arXiv preprint arXiv:2010.01819, 2020 | 3 | 2020 |
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks Q Xu, Y Gao, J Shen, Y Li, X Ran, H Tang, G Pan Advances in Neural Information Processing Systems (NeurIPS), 2023 | 1 | 2023 |
Weakly Supervised Attention Inference Generative Adversarial Network for Text-to-Image L Mei, X Ran, J Hu 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1574-1578, 2019 | 1 | 2019 |
Prioritizing Causation in Decision Trees: A Framework for Interpretable Modeling S Zhang, X Chen, X Ran, Z Li, W Cao Engineering Applications of Artificial Intelligence 133, 108224, 2024 | | 2024 |
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism T Jiang, Q Xu, X Ran, J Shen, P Lv, Q Zhang, G Pan International Conference on Learning Representations (ICLR), 2024 | | 2024 |
DSPD: A deep spike-to-pattern decoder for the multimodality of brain-machine interface Download PDF Q Xu, J Shen, X Ran, H Tang, G Pan, J Liu | | 2021 |
A computational framework to unify representation similarity and function in biological and artificial neural networks X Ran, J Zhang, Z Ye, H Wu, Q Xu, H Zhou, Q Liu | | |