Zening Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
7
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | GM-LDM: Latent Diffusion Guided by Functional Connectivity for Gray-Matter Generation and Biomarker Identification. | Xu Hu, Jingling Yang, Wenjun Xiao, Sihan Jia, Yutong Gao, Zening Fu, Vince D. Calhoun, Yuda Bi |
| 2024 | CVPR | A Deep Biclustering Framework for Brain Network Analysis. | Md Abdur Rahaman, Zening Fu, Armin Iraji, Vince D. Calhoun |
| 2024 | SiggraphA | Transformed Skin: Changing own skin texture feeling for VR avatar embodiment. | Sohei Wakisaka, Masatoshi Matsubara, Haruka Onoda, Zening Fu, Lucas Ogasawara, Kouta Minamizawa |
| 2023 | ICASSP | Deep Generative Transfer Learning Predicts Conversion To Alzheimer'S Disease From Neuroimaging Genomics Data. | Giorgio Dolci, Md Abdur Rahaman, Ilaria Boscolo Galazzo, Federica Cruciani, Anees Abrol, Jiayu Chen, Zening Fu, Kuaikuai Duan, Gloria Menegaz, Vince D. Calhoun |
| 2023 | ICASSP | Glacier: Glass-Box Transformer for Interpretable Dynamic Neuroimaging. | Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2023 | IJCNN | Self-Supervised Mental Disorder Classifiers via Time Reversal. | Zafar Iqbal, Usman Mahmood, Zening Fu, Sergey M. Plis |
| 2022 | BIBE | A deep generative multimodal imaging genomics framework for Alzheimer's disease prediction. | Giorgio Dolci, Md Abdur Rahaman, Jiayu Chen, Kuaikuai Duan, Zening Fu, Anees Abrol, Gloria Menegaz, Vince D. Calhoun |
| 2022 | IJCNN | Deep Dynamic Effective Connectivity Estimation from Multivariate Time Series. | Usman Mahmood, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2021 | BIBE | Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. | Thomas DeRamus, Armin Iraji, Zening Fu, Rogers F. Silva, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Yuhui Du, Jingyu Liu, Vince D. Calhoun |
| 2021 | BIBE | Machine Learning Predicts Treatment Response in Bipolar & Major Depression Disorders. | Mustafa S. Salman, Eric Verner, Henry Jeremy Bockholt, Zening Fu, Vince D. Calhoun |
| 2020 | BIBE | Varying Information Complexity in Functional Domain Interactions in Schizophrenia. | Ishaan Batta, Anees Abrol, Zening Fu, Vince D. Calhoun |
| 2020 | BIBE | Time-varying Graphs: A Method to Identify Abnormal Integration and Disconnection in Functional Brain Connectivity with Application to Schizophrenia. | Haleh Falakshahi, Hooman Rokham, Zening Fu, Daniel H. Mathalon, Judith M. Ford, James Voyvodic, Bryon A. Mueller, Aysenil Belger, Sarah C. McEwen, Steven G. Potkin, Adrian Preda, Armin Iraji, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun |
| 2020 | MICCAI | Whole MILC: Generalizing Learned Dynamics Across Tasks, Datasets, and Populations. | Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov, Noah Lewis, Zening Fu, Vince D. Calhoun, Sergey M. Plis |
| 2013 | ISCAS | Estimation of time-varying autocorrelation and its application to time-frequency analysis of nonstationary signals. | Zening Fu, Zhiguo Zhang, Shing-Chow Chan |