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 | 148 | 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 | 63 | 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 | 56 | 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 …, 2021 | 42 | 2021 |
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 | 16 | 2023 |
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 (SCC) 67 (2), 558-567, 2024 | 14 | 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 | 9 | 2021 |
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 | 8 | 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 | 7 | 2024 |
Bigeminal priors variational auto-encoder X Ran, M Xu, Q Xu, H Zhou, Q Liu arXiv preprint arXiv:2010.01819, 2020 | 3 | 2020 |
Robust Sensory Information Reconstruction and Classification With Augmented Spikes Q Xu, S Liu, X Ran, Y Li, J Shen, H Tang, JK Liu, G Pan, Q Zhang IEEE Transactions on Neural Networks and Learning Systems (NNLS), 2024 | 2 | 2024 |
AdaViPro: Region-based Adaptive Visual Prompt for Large-Scale Models Adapting M Yang, Y Tian, L Zhang, X Liang, X Ran, W Wang arXiv preprint arXiv:2403.13282 (ICIP), 2024 | 1 | 2024 |
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 |
Brain-inspired continual pre-trained learner via silent synaptic consolidation X Ran, J Yao, Y Wang, M Xu, D Liu arXiv preprint arXiv:2410.05899, 2024 | | 2024 |
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 | | 2023 |
A Simple Efficiency Incremental Learning Framework via Vision-Language Model with Multi-Adapters H Luo, X Ran, D Liu, J Shen, Q Xu, F Cong | | |