Jinduo Liu

32 papers A* 7Journal 18Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
CellRa: A region-aware method for cell segmentation.
Eng. Appl. Artif. Intell.
Junzhong Ji, Mu-Ran Zhu, Jinduo Liu
2025 — conf
A Spatio-Temporal Expert Fusion Framework Integrating Mamba and KAN for EEG Emotion Recognition.
BIBM
Jialin Song, Jiarui Wang, Hanrui Jiang, Jinduo Liu
2025 — conf
Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention.
KDD (1)
Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025 J jnl
Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention.
CoRR
Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025 A* conf
Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning.
ICML
Minqi Yu, Jinduo Liu, Junzhong Ji
2025 A* conf
Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search.
IJCAI
Jihao Zhai, Junzhong Ji, Jinduo Liu
2025 — conf
MSGFlowNet: Learning Effective Connectivity Network Based on Sparse Generative Flow Network from fMRI and EEG Data.
MICCAI (1)
Zhihao Su, Jihao Zhai, Junzhong Ji, Jinduo Liu
2025 J jnl
MsAD-LEC: Estimating large-scale brain effective connectivity network based on multi-subgraph attention diffusion.
Knowl. Based Syst.
Junzhong Ji, Jingdong Fan, Jinduo Liu
2025 J jnl
Multi-atlas functional and effective connectivity attention fusion method for autism spectrum disorder diagnosis.
Eng. Appl. Artif. Intell.
Minqi Yu, Jinduo Liu, Junzhong Ji
2024 J jnl
Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification.
IEEE Trans. Signal Inf. Process. over Networks
Junzhong Ji, Feipeng Wang, Lu Han, Jinduo Liu
2024 A* conf
Concept-Level Causal Explanation Method for Brain Function Network Classification.
IJCAI
Jinduo Liu, Feipeng Wang, Junzhong Ji
2024 J jnl
Dynamic Effective Connectivity Learning Based on Nonparametric State Estimation and GAN.
IEEE Trans. Instrum. Meas.
Junzhong Ji, Lu Han, Feipeng Wang, Jinduo Liu
2024 J jnl
Exploring Brain Effective Connectivity Networks Through Spatiotemporal Graph Convolutional Models.
IEEE Trans. Neural Networks Learn. Syst.
Aixiao Zou, Junzhong Ji, Minglong Lei, Jinduo Liu, Yongduan Song
2024 J jnl
Inferring causal protein signalling networks from single-cell data based on parallel discrete artificial bee colony algorithm.
CAAI Trans. Intell. Technol.
Jinduo Liu, Jihao Zhai, Junzhong Ji
2024 J jnl
MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning From fMRI and EEG Data.
IEEE Trans. Medical Imaging
Jinduo Liu, Lu Han, Junzhong Ji
2024 J jnl
MetaCAE: Causal autoencoder with meta-knowledge transfer for brain effective connectivity estimation.
Comput. Biol. Medicine
Junzhong Ji, Zuozhen Zhang, Lu Han, Jinduo Liu
2024 A* conf
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity.
AAAI
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
2024 J jnl
River runoff causal discovery with deep reinforcement learning.
Appl. Intell.
Junzhong Ji, Ting Wang, Jinduo Liu, Muhua Wang, Wei Tang
2023 J jnl
A Survey on Brain Effective Connectivity Network Learning.
IEEE Trans. Neural Networks Learn. Syst.
Junzhong Ji, Aixiao Zou, Jinduo Liu, Cuicui Yang, Xiaodan Zhang, Yongduan Song
2023 J jnl
Concept-Level Model Interpretation From the Causal Aspect.
IEEE Trans. Knowl. Data Eng.
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
2023 A* conf
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.
WWW
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
2022 — conf
Brain Effective Connectivity Learning with Deep Reinforcement Learning.
BIBM
Yilin Lu, Jinduo Liu, Junzhong Ji, Han Lv, Mengdi Huai
2022 J jnl
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score.
IEEE Trans. Neural Networks Learn. Syst.
Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang
2022 A* conf
Towards Automating Model Explanations with Certified Robustness Guarantees.
AAAI
Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang
2021 J jnl
Estimating Effective Connectivity by Recurrent Generative Adversarial Networks.
IEEE Trans. Medical Imaging
Junzhong Ji, Jinduo Liu, Lu Han, Feipeng Wang
2020 A* conf
EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks.
AAAI
Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang
2020 — conf
Global Interpretation for Patient Similarity Learning.
BIBM
Mengdi Huai, Chenglin Miao, Jinduo Liu, Di Wang, Jingyuan Chou, Aidong Zhang
2020 J jnl
Learning Brain Effective Connectivity Network Structure Using Ant Colony Optimization Combining With Voxel Activation Information.
IEEE J. Biomed. Health Informatics
Jinduo Liu, Junzhong Ji, Xiuqin Jia, Aidong Zhang
2019 — conf
Estimating Brain Effective Connectivity in fMRI data by Non-stationary Dynamic Bayesian Networks.
BIBM
Jinduo Liu, Junzhong Ji, Liuyi Yao, Aidong Zhang
2017 J jnl
A comparative study on swarm intelligence for structure learning of Bayesian networks.
Soft Comput.
Junzhong Ji, Cuicui Yang, Jiming Liu, Jinduo Liu, Baocai Yin
2016 — conf
An ant colony optimization algorithm for learning brain effective connectivity network from fMRI data.
BIBM
Jinduo Liu, Junzhong Ji, Aidong Zhang, Peipeng Liang
2016 J jnl
Structural learning of Bayesian networks by bacterial foraging optimization.
Int. J. Approx. Reason.
Cuicui Yang, Junzhong Ji, Jiming Liu, Jinduo Liu, Baocai Yin