Dajiang Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
7
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging. | Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma |
| 2025 | ICDM | BrainNet-MoE: Brain-Inspired Mixture-of-Experts Learning for Neurological Disease Identification. | Jing Zhang, Xiaowei Yu, Tong Chen, Chao Cao, Minheng Chen, Yan Zhuang, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | A Unified Continuous Staging Framework for Alzheimer's Disease and Lewy Body Dementia via Hierarchical Anatomical Features. | Tong Chen, Minheng Chen, Jing Zhang, Yan Zhuang, Chao Cao, Xiaowei Yu, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | Core-Periphery Principle Guided State Space Model for Functional Connectome Classification. | Minheng Chen, Xiaowei Yu, Jing Zhang, Tong Chen, Chao Cao, Yan Zhuang, Yanjun Lyu, Lu Zhang, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | Oblique Genomics Mixture of Experts: Prediction of Brain Disorder with Aging-Related Changes of Brain's Structural Connectivity Under Genomic Influences. | Yanjun Lyu, Jing Zhang, Lu Zhang, Wei Ruan, Tianming Liu, Dajiang Zhu |
| 2025 | MICCAI | Domain-Adaptive Diagnosis of Lewy Body Disease with Transferability Aware Transformer. | Xiaowei Yu, Jing Zhang, Tong Chen, Yan Zhuang, Minheng Chen, Chao Cao, Yanjun Lyu, Lu Zhang, Li Su, Tianming Liu, Dajiang Zhu |
| 2024 | ICML | InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning. | Zhe Huang, Xiaowei Yu, Dajiang Zhu, Michael C. Hughes |
| 2024 | MICCAI | Brain Cortical Functional Gradients Predict Cortical Folding Patterns via Attention Mesh Convolution. | Li Yang, Zhibin He, Tianyang Zhong, Changhe Li, Dajiang Zhu, Junwei Han, Tianming Liu, Tuo Zhang |
| 2024 | MICCAI | CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis. | Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu |
| 2024 | MICCAI | Gyri vs. Sulci: Core-Periphery Organization in Functional Brain Networks. | Xiaowei Yu, Lu Zhang, Chao Cao, Tong Chen, Yanjun Lyu, Jing Zhang, Tianming Liu, Dajiang Zhu |
| 2023 | ACL | Fine-grained Artificial Neurons in Audio-transformers for Disentangling Neural Auditory Encoding. | Mengyue Zhou, Xu Liu, David Liu, Zihao Wu, Zhengliang Liu, Lin Zhao, Dajiang Zhu, Lei Guo, Junwei Han, Tianming Liu, Xintao Hu |
| 2023 | ADMA | Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search. | Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu, Xia Wu, Claire Coles, Xiaoping Hu, Tianming Liu, Dajiang Zhu |
| 2023 | MICCAI | Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. | Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Dez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li |
| 2023 | MICCAI | Predicting Diverse Functional Connectivity from Structural Connectivity Based on Multi-contexts Discriminator GAN. | Xiang Gao, Xin Zhang, Lu Zhang, Xiangmin Xu, Dajiang Zhu |
| 2023 | MICCAI | Weakly Supervised Cerebellar Cortical Surface Parcellation with Self-Visual Representation Learning. | Zhengwang Wu, Jiale Cheng, Fenqiang Zhao, Ya Wang, Yue Sun, Dajiang Zhu, Tianming Liu, Valerie Jewells, Weili Lin, Li Wang, Gang Li |
| 2023 | MICCAI | Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. | Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang |
| 2023 | MICCAI | Disentangling Site Effects with Cycle-Consistent Adversarial Autoencoder for Multi-site Cortical Data Harmonization. | Fenqiang Zhao, Zhengwang Wu, Dajiang Zhu, Tianming Liu, John H. Gilmore, Weili Lin, Li Wang, Gang Li |
| 2022 | MICCAI | Graph Representation Neural Architecture Search for Optimal Spatial/Temporal Functional Brain Network Decomposition. | Haixing Dai, Qing Li, Lin Zhao, Liming Pan, Cheng Shi, Zhengliang Liu, Zihao Wu, Lu Zhang, Shijie Zhao, Xia Wu, Tianming Liu, Dajiang Zhu |
| 2022 | MICCAI | Hierarchical Brain Networks Decomposition via Prior Knowledge Guided Deep Belief Network. | Tianji Pang, Dajiang Zhu, Tianming Liu, Junwei Han, Shijie Zhao |
| 2022 | MICCAI | ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition. | Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H. Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, Sheng Li, Tianming Liu, Xiang Li |
| 2022 | MICCAI | Longitudinal Infant Functional Connectivity Prediction via Conditional Intensive Triplet Network. | Xiaowei Yu, Dan Hu, Lu Zhang, Ying Huang, Zhengwang Wu, Tianming Liu, Li Wang, Weili Lin, Dajiang Zhu, Gang Li |
| 2022 | MICCAI | Embedding Human Brain Function via Transformer. | Lin Zhao, Zihao Wu, Haixing Dai, Zhengliang Liu, Tuo Zhang, Dajiang Zhu, Tianming Liu |
| 2021 | MICCAI | Exploring the Functional Difference of Gyri/Sulci via Hierarchical Interpretable Autoencoder. | Lin Zhao, Haixing Dai, Xi Jiang, Tuo Zhang, Dajiang Zhu, Tianming Liu |
| 2020 | MICCAI | Recovering Brain Structural Connectivity from Functional Connectivity via Multi-GCN Based Generative Adversarial Network. | Lu Zhang, Li Wang, Dajiang Zhu |
| 2019 | MICCAI | Multi-modal Image Prediction via Spatial Hybrid U-Net. | Akib Zaman, Lu Zhang, Jingwen Yan, Dajiang Zhu |
| 2019 | MICCAI | A Cascaded Multi-modality Analysis in Mild Cognitive Impairment. | Lu Zhang, Akib Zaman, Li Wang, Jingwen Yan, Dajiang Zhu |
| 2018 | AAAI | Efficient Test-Time Predictor Learning With Group-Based Budget. | Li Wang, Dajiang Zhu, Yujie Chi |
| 2018 | MICCAI | Exploring Fiber Skeletons via Joint Representation of Functional Networks and Structural Connectivity. | Shu Zhang, Tianming Liu, Dajiang Zhu |
| 2017 | MICCAI | Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model. | Dajiang Zhu, Brandalyn C. Riedel, Neda Jahanshad, Nynke A. Groenewold, Dan J. Stein, Ian H. Gotlib, Matthew D. Sacchet, Danai Dima, James H. Cole, Cynthia H. Y. Fu, Henrik Walter, Ilya M. Veer, Thomas Frodl, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson |
| 2014 | MICCAI | Group-Wise Optimization of Common Brain Landmarks with Joint Structural and Functional Regulations. | Dajiang Zhu, Jinglei Lv, Hanbo Chen, Tianming Liu |
| 2013 | MICCAI | Predictive Models of Resting State Networks for Assessment of Altered Functional Connectivity in MCI. | Xi Jiang, Dajiang Zhu, Kaiming Li, Tuo Zhang, Dinggang Shen, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Anatomy-Guided Discovery of Large-Scale Consistent Connectivity-Based Cortical Landmarks. | Xi Jiang, Tuo Zhang, Dajiang Zhu, Kaiming Li, Jinglei Lv, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Sparse Representation of Group-Wise FMRI Signals. | Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Xin Zhang, Xintao Hu, Tuo Zhang, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Group-Wise FMRI Activation Detection on Corresponding Cortical Landmarks. | Jinglei Lv, Dajiang Zhu, Xintao Hu, Xin Zhang, Tuo Zhang, Junwei Han, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Modeling Cognitive Processes via Multi-stage Consistent Functional Response Detection. | Jinglei Lv, Dajiang Zhu, Xi Jiang, Kaiming Li, Xintao Hu, Junwei Han, Lei Guo, Tianming Liu |
| 2013 | MICCAI | Sparse Representation of Higher-Order Functional Interaction Patterns in Task-Based FMRI Data. | Shu Zhang, Xiang Li, Jinglei Lv, Xi Jiang, Dajiang Zhu, Hanbo Chen, Tuo Zhang, Lei Guo, Tianming Liu |
| 2012 | MICCAI | Group-Wise Consistent Parcellation of Gyri via Adaptive Multi-view Spectral Clustering of Fiber Shapes. | Hanbo Chen, Xiao Cai, Dajiang Zhu, Feiping Nie, Tianming Liu, Heng Huang |
| 2012 | MICCAI | Inferring Group-Wise Consistent Multimodal Brain Networks via Multi-view Spectral Clustering. | Hanbo Chen, Kaiming Li, Dajiang Zhu, Tuo Zhang, Changfeng Jin, Lei Guo, Lingjiang Li, Tianming Liu |
| 2012 | MICCAI | Optimization of fMRI-Derived ROIs Based on Coherent Functional Interaction Patterns. | Fan Deng, Dajiang Zhu, Tianming Liu |
| 2012 | MICCAI | Group-Wise Consistent Fiber Clustering Based on Multimodal Connectional and Functional Profiles. | Bao Ge, Lei Guo, Tuo Zhang, Dajiang Zhu, Kaiming Li, Xintao Hu, Junwei Han, Tianming Liu |
| 2012 | MICCAI | Characterization of Task-Free/Task-Performance Brain States. | Xin Zhang, Lei Guo, Xiang Li, Dajiang Zhu, Kaiming Li, Zhenqiang Sun, Changfeng Jin, Xintao Hu, Junwei Han, Qun Zhao, Lingjiang Li, Tianming Liu |
| 2011 | MICCAI | Predicting Functional Brain ROIs via Fiber Shape Models. | Tuo Zhang, Lei Guo, Kaiming Li, Dajiang Zhu, Guangbin Cui, Tianming Liu |
| 2011 | MICCAI | Identification of Cortical Landmarks Based on Consistent Connectivity to Subcortical Structures. | Degang Zhang, Lei Guo, Dajiang Zhu, Tuo Zhang, Xintao Hu, Kaiming Li, Xi Jiang, Hanbo Chen, Jinglei Lv, Fan Deng, Qun Zhao |
| 2010 | ICMI | Human-centered attention models for video summarization. | Kaiming Li, Lei Guo, Carlos Faraco, Dajiang Zhu, Fan Deng, Tuo Zhang, Xi Jiang, Degang Zhang, Hanbo Chen, Xintao Hu, L. Stephen Miller, Tianming Liu |