Jinduo Liu

According to our database, Jinduo Liu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation.

Junzhong Ji, Zuozhen Zhang, Lu Han, Jinduo Liu

Comput. Biol. Medicine, March, 2024

Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN.

Junzhong Ji, Lu Han, Feipeng Wang, Jinduo Liu

IEEE Trans. Instrum. Meas., 2024

River runoff causal discovery with deep reinforcement learning.

Junzhong Ji, Ting Wang, Jinduo Liu, Muhua Wang, Wei Tang

Appl. Intell., 2024

MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity.

Zuozhen Zhang, Junzhong Ji, Jinduo Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Concept-Level Model Interpretation From the Causal Aspect.

Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao

IEEE Trans. Knowl. Data Eng., September, 2023

A Survey on Brain Effective Connectivity Network Learning.

Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.

Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao

Proceedings of the ACM Web Conference 2023, 2023

2022

Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang

IEEE Trans. Neural Networks Learn. Syst., 2022

Brain Effective Connectivity Learning with Deep Reinforcement Learning.

Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Towards Automating Model Explanations with Certified Robustness Guarantees.

Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Estimating Effective Connectivity by Recurrent Generative Adversarial Networks.

Junzhong Ji, Jinduo Liu, Lu Han, Feipeng Wang

IEEE Trans. Medical Imaging, 2021

2020

Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information.

Jinduo Liu, Junzhong Ji, Xiuqin Jia, Aidong Zhang

IEEE J. Biomed. Health Informatics, 2020

Global Interpretation for Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.

Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks.

Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2017

A comparative study on swarm intelligence for structure learning of Bayesian networks.

Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin

Soft Comput., 2017

2016

Structural learning of Bayesian networks by bacterial foraging optimization.

Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin

Int. J. Approx. Reason., 2016

An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data.

Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016