代表性成果
近五年，以第一作者/通讯作者发表学术论文20余篇，包括：ICML、KDD、AAAI、IJCAI等CCF A类国际顶级会议，IEEE TMI、IEEE TNNLS、IEEE TSIPN、IEEE TNSRE、IEEE TIM等国际期刊。授权专利/软著20余项。部分成果如下：
(1) Minqi Yu (硕士生), Jinduo Liu*, Junzhong Ji. Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning. The Forty-second International Conference on Machine Learning (ICML-25), 2025. (CCF A类会议)
(2) Wen Xiong (硕士生), Jinduo Liu*, Junzhong Ji, Fenglong Ma. Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. The 31st SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-25), 1657-1668, 2025. (CCF A类会议)
(3) Jihao Zhai (硕士生), Junzhong Ji, Jinduo Liu*. Inferring Causal Protein Signaling Networks with Reinforcement Learning via Artificial Bee Colony Neural Architecture Search. The 34rd International Joint Conference on Artificial Intelligence (IJCAI-25), 2025. (CCF A类会议)
(4) Zuozhen Zhang (硕士生), Junzhong Ji, Jinduo Liu*. MetaRLEC: Meta Reinforce- ment Learning for Discovery of Brain Effective Connectivity. The 38th AAAI Conference on Artificial Intelligence (AAAI-24), 38 (9), 10261-10269, 2024. (CCF A类会议)
(5) Jinduo Liu, Feipeng Wang, Junzhong Ji. Concept-Level Causal Explanation Method for Brain Function Network Classification. The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), 3087–3096, 2024. (CCF A类会议)
(6) Jinduo Liu, Junzhong Ji, Guangxu Xun, Liuyi Yao, Mengdi Huai and Aidong Zhang. EC-GAN: inferring brain effective connectivity via generative adversarial networks. The 34th AAAI Conference on Artificial Intelligence (AAAI-20), 34(4), 4852-4859, 2020. (CCF A类会议)
(7) Jinduo Liu, Lu Han, Junzhong Ji. MCAN: Multimodal Causal Adversarial Networks for Dynamic Effective Connectivity Learning from fMRI and EEG Data. IEEE Transactions on Medical Imaging (TMI), 43 (8), 2913-2923, 2024.
(8)Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang. Inferring Effective Connectivity Networks from fMRI Time Series with a Temporal Entropy-score. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 33(10), 5993-6006, 2022.
(9)Junzhong Ji, Feipeng Wang, Lu Han, Jinduo Liu*. Causal Learning and Knowledge Fusion Mechanism for Brain Functional Network Classification. IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 10, 650-664, 2024.
(10) Junzhong Ji, Lu Han, Feipeng Wang, Jinduo Liu*. Dynamic Effective Connectivity Learning based on non-Parametric State Estimation and GAN. IEEE Transactions on Instrumentation and Measurement (TIM), 73, 1-12, 2024.
(11) Han Lv, Jinduo Liu*, Qian Chen, Junzhong Ji, Jihao Zhai, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Zhenchang Wang. Brain network evaluation by functional-guided effective connectivity reinforcement learning method indicates therapeutic effect for tinnitus. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 32, 1132-1141, 2024.
(12) Jinduo Liu, Jihao Zhai, Junzhong Ji. Inferring Causal Protein Signaling Networks from Single-cell Data based on Parallel Discrete Artificial Bee Colony Algorithm. CAAI Transactions on Intelligence Technology (TRIT), 9(6), 1587–1604, 2024.
(13)Jinduo Liu, Junzhong Ji, Xiuqin Jia and Aidong Zhang. Learning brain effective connectivity network structure using ant colony optimization combining with voxel activation information. IEEE journal of biomedical and health informatics (JBHI), 24(7), 2028-2040, 2020.
(14) Junzhong Ji*, Jinduo Liu*, Lu Han and Feipeng Wan. Estimating effective connectivity by recurrent generative adversarial networks. IEEE Transactions on Medical Imaging (TMI), 40(12), 3326-3336, 2021.
(15) Han Lv#, Jinduo Liu#, Qian Chen, Zuozhen Zhang, Zhaodi Wang, Shusheng Gong, Junzhong Ji and Zhenchang Wang. Brain effective connectivity analysis facilitates the treatment outcome expectation of sound therapy in patients with tinnitus. IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), 31, 1158-1166, 2023.
(16) Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang and Jing Gao. Concept-Level Model Interpretation From the Causal Aspect. IEEE Transactions on Knowledge and Data Engineering (TKDE), 35(9), 8799-8810, 2023. (CCF A)
(17) Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, and Jing Gao. Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. The Web Conference (WWW-23), Austin, USA, 3680-3688, 2023.(CCF A类会议)
