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Jinduo Liu
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2020 – today
- 2024
- [j14]Junzhong Ji, Ting Wang, Jinduo Liu
, Muhua Wang, Wei Tang:
River runoff causal discovery with deep reinforcement learning. Appl. Intell. 54(4): 3547-3565 (2024) - [j13]Junzhong Ji, Zuozhen Zhang, Lu Han, Jinduo Liu
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation. Comput. Biol. Medicine 170: 107940 (2024) - [j12]Zhiyong Ba, Yiping Yuan, Jinduo Liu:
A modified memetic algorithm with multi-operation precise joint movement neighbourhood structure for the assembly job shop scheduling problem. Int. J. Prod. Res. 62(17): 6292-6324 (2024) - [j11]Junzhong Ji
Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j10]Jinduo Liu
MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data. IEEE Trans. Medical Imaging 43(8): 2913-2923 (2024) - [j9]Aixiao Zou, Junzhong Ji
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7871-7883 (2024) - [j8]Junzhong Ji
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. IEEE Trans. Signal Inf. Process. over Networks 10: 650-664 (2024) - [c9]Zuozhen Zhang, Junzhong Ji, Jinduo Liu:
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. AAAI 2024: 10261-10269 - [c8]Jinduo Liu, Feipeng Wang, Junzhong Ji:
Concept-Level Causal Explanation Method for Brain Function Network Classification. IJCAI 2024: 3087-3096 - 2023
- [j7]Liuyi Yao
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [j6]Junzhong Ji
A Survey on Brain Effective Connectivity Network Learning. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1879-1899 (2023) - [c7]Liuyi Yao
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688 - 2022
- [j5]Jinduo Liu
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5993-6006 (2022) - [c6]Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang:
Towards Automating Model Explanations with Certified Robustness Guarantees. AAAI 2022: 6935-6943 - [c5]Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai:
Brain Effective Connectivity Learning with Deep Reinforcement Learning. BIBM 2022: 1664-1667 - 2021
- [j4]Junzhong Ji
Estimating Effective Connectivity by Recurrent Generative Adversarial Networks. IEEE Trans. Medical Imaging 40(12): 3326-3336 (2021) - 2020
- [j3]Jinduo Liu
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information. IEEE J. Biomed. Health Informatics 24(7): 2028-2040 (2020) - [c4]Jinduo Liu, Junzhong Ji, Guangxu Xun
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. AAAI 2020: 4852-4859 - [c3]Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang:
Global Interpretation for Patient Similarity Learning. BIBM 2020: 589-594
2010 – 2019
- 2019
- [c2]Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang:
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks. BIBM 2019: 834-839 - 2017
- [j2]Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin:
A comparative study on swarm intelligence for structure learning of Bayesian networks. Soft Comput. 21(22): 6713-6738 (2017) - 2016
- [j1]Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin:
Structural learning of Bayesian networks by bacterial foraging optimization. Int. J. Approx. Reason. 69: 147-167 (2016) - [c1]Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang:
An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data. BIBM 2016: 360-367
Coauthor Index
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