| 2025 | ICML | Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning. | Minqi Yu, Jinduo Liu, Junzhong Ji |
| 2025 | IJCAI | Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. | Jihao Zhai, Junzhong Ji, Jinduo Liu |
| 2025 | KDD | Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. | Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma |
| 2025 | MICCAI | MSGFlowNet: Learning Effective Connectivity Network Based on Sparse Generative Flow Network from fMRI and EEG Data. | Zhihao Su, Jihao Zhai, Junzhong Ji, Jinduo Liu |
| 2024 | AAAI | MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity. | Zuozhen Zhang, Junzhong Ji, Jinduo Liu |
| 2024 | IJCAI | Concept-Level Causal Explanation Method for Brain Function Network Classification. | Jinduo Liu, Feipeng Wang, Junzhong Ji |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2022 | AAAI | Towards Automating Model Explanations with Certified Robustness Guarantees. | Mengdi Huai, Jinduo Liu, Chenglin Miao, Liuyi Yao, Aidong Zhang |
| 2020 | AAAI | EC-GAN: Inferring Brain Effective Connectivity via Generative Adversarial Networks. | Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai, Aidong Zhang |