| Structural learning of Bayesian networks by bacterial foraging optimization C Yang, J Ji, J Liu, J Liu, B Yin International Journal of Approximate Reasoning 69, 147-167, 2016 | 58 | 2016 |
| EC-GAN: Inferring brain effective connectivity via generative adversarial networks J Liu, J Ji, G Xun, L Yao, M Huai, A Zhang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4852-4859, 2020 | 25 | 2020 |
| Learning brain effective connectivity network structure using ant colony optimization combining with voxel activation information J Liu, J Ji, X Jia, A Zhang IEEE journal of biomedical and health informatics 24 (7), 2028-2040, 2020 | 22 | 2020 |
| A survey on brain effective connectivity network learning J Ji, A Zou, J Liu, C Yang, X Zhang, Y Song IEEE Transactions on Neural Networks and Learning Systems 34 (4), 1879-1899, 2023 | 21 | 2023 |
| Estimating effective connectivity by recurrent generative adversarial networks J Ji, J Liu, L Han, F Wang IEEE Transactions on Medical Imaging 40 (12), 3326-3336, 2021 | 20 | 2021 |
| Learning effective connectivity network structure from fMRI data based on artificial immune algorithm J Ji, J Liu, P Liang, A Zhang Plos one 11 (4), e0152600, 2016 | 20 | 2016 |
| A comparative study on swarm intelligence for structure learning of Bayesian networks J Ji, C Yang, J Liu, J Liu, B Yin Soft Computing 21, 6713-6738, 2017 | 18 | 2017 |
| Inferring effective connectivity networks from fMRI time series with a temporal entropy-score J Liu, J Ji, G Xun, A Zhang IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5993-6006, 2022 | 17 | 2022 |
| An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data J Liu, J Ji, A Zhang, P Liang 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016 | 12 | 2016 |
| Exploring brain effective connectivity networks through spatiotemporal graph convolutional models A Zou, J Ji, M Lei, J Liu, Y Song IEEE Transactions on Neural Networks and Learning Systems, 2022 | 11 | 2022 |
| Towards automating model explanations with certified robustness guarantees M Huai, J Liu, C Miao, L Yao, A Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6935-6943, 2022 | 11 | 2022 |
| Concept-Level Model Interpretation From the Causal Aspect L Yao, Y Li, S Li, J Liu, M Huai, A Zhang, J Gao IEEE Transactions on Knowledge and Data Engineering 35 (9), 8799-8810, 2023 | 8 | 2023 |
| ACOEC-FD: Ant colony optimization for learning brain effective connectivity networks from functional MRI and diffusion tensor imaging J Ji, J Liu, A Zou, A Zhang Frontiers in Neuroscience 13, 1290, 2019 | 7 | 2019 |
| Estimating brain effective connectivity in fMRI data by non-stationary dynamic Bayesian networks J Liu, J Ji, L Yao, A Zhang 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019 | 6 | 2019 |
| Amortization Transformer for Brain Effective Connectivity Estimation from fMRI Data Z Zhang, Z Zhang, J Ji, J Liu Brain sciences 13 (7), 995, 2023 | 3 | 2023 |
| Brain effective connectivity analysis facilitates the treatment outcome expectation of sound therapy in patients with tinnitus H Lv, J Liu, Q Chen, Z Zhang, Z Wang, S Gong, J Ji, Z Wang IEEE Transactions on Neural Systems and Rehabilitation Engineering 31, 1158-1166, 2023 | 3 | 2023 |
| Path-specific causal fair prediction via auxiliary graph structure learning L Yao, Y Li, B Ding, J Zhou, J Liu, M Huai, J Gao Proceedings of the ACM Web Conference 2023, 3680-3688, 2023 | 2 | 2023 |
| Brain Effective Connectivity Learning with Deep Reinforcement Learning Y Lu, J Liu, J Ji, H Lv, M Huai 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| 基于功能磁共振成像的人脑效应连接网络识别方法综述 冀俊忠， 邹爱笑， 刘金铎 自动化学报 47 (2), 278-296, 2021 | 2 | 2021 |
| Global interpretation for patient similarity learning M Huai, C Miao, J Liu, D Wang, J Chou, A Zhang 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020 | 2 | 2020 |
