| 2026 | AAAI | SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization. | Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu |
| 2026 | AAAI | Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape. | Ziquan Wei, Tingting Dan, Guorong Wu |
| 2025 | ICLR | Conditional Diffusion with Ordinal Regression: Longitudinal Data Generation for Neurodegenerative Disease Studies. | Hyuna Cho, Ziquan Wei, Seungjoo Lee, Tingting Dan, Guorong Wu, Won Hwa Kim |
| 2025 | MICCAI | Brain-Environment Cross-Attention (BECA) Meta-matching: A New Perspective of Brain Connectome Zero-Shot Learning. | Ziquan Wei, Tingting Dan, Guorong Wu |
| 2024 | ICML | Exploring the Enigma of Neural Dynamics Through A Scattering-Transform Mixer Landscape for Riemannian Manifold. | Tingting Dan, Ziquan Wei, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | Understanding Brain Dynamics Through Neural Koopman Operator with Structure-Function Coupling. | Chiyuen Chow, Tingting Dan, Martin Styner, Guorong Wu |
| 2024 | MICCAI | A Wasserstein Recipe for Replicable Machine Learning on Functional Neuroimages. | Jiaqi Ding, Tingting Dan, Ziquan Wei, Paul J. Laurienti, Guorong Wu |
| 2024 | MICCAI | Uncovering Cortical Pathways of Prion-Like Pathology Spreading in Alzheimer's Disease by Neural Optimal Mass Transport. | Yanquan Huang, Tingting Dan, Won Hwa Kim, Guorong Wu |
| 2024 | MICCAI | Representing Functional Connectivity with Structural Detour: A New Perspective to Decipher Structure-Function Coupling Mechanism. | Ziquan Wei, Tingting Dan, Jiaqi Ding, Paul J. Laurienti, Guorong Wu |
| 2023 | MICCAI | Enhance Early Diagnosis Accuracy of Alzheimer's Disease by Elucidating Interactions Between Amyloid Cascade and Tau Propagation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | TauFlowNet: Uncovering Propagation Mechanism of Tau Aggregates by Neural Transport Equation. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | Uncovering Structural-Functional Coupling Alterations for Neurodegenerative Diseases. | Tingting Dan, Minjeong Kim, Won Hwa Kim, Guorong Wu |
| 2023 | MICCAI | A General Stitching Solution for Whole-Brain 3D Nuclei Instance Segmentation from Microscopy Images. | Ziquan Wei, Tingting Dan, Jiaqi Ding, Mustafa Dere, Guorong Wu |
| 2022 | MICCAI | Neuro-RDM: An Explainable Neural Network Landscape of Reaction-Diffusion Model for Cognitive Task Recognition. | Tingting Dan, Hongmin Cai, Zhuobin Huang, Paul J. Laurienti, Won Hwa Kim, Guorong Wu |
| 2021 | AAAI | Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. | Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen |
| 2021 | ICANN | Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training. | Guihua Tao, Wentao Rong, Wanlin Weng, Tingting Dan, Bin Zhang, Hongmin Cai |
| 2021 | MICCAI | Detecting Brain State Changes by Geometric Deep Learning of Functional Dynamics on Riemannian Manifold. | Zhuobin Huang, Hongmin Cai, Tingting Dan, Yi Lin, Paul J. Laurienti, Guorong Wu |