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Improving the Certified Robustness of Neural Networks via Consistency Regularization

Dec 24, 2020
Mengting Xu, Tao Zhang, Zhongnian Li, Wei Shao, Daoqiang Zhang

* 4 pages, appeare in AAAI21-RSEML 

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Transport based Graph Kernels

Nov 02, 2020
Kai Ma, Peng Wan, Daoqiang Zhang


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Shared Space Transfer Learning for analyzing multi-site fMRI data

Oct 24, 2020
Muhammad Yousefnezhad, Alessandro Selvitella, Daoqiang Zhang, Andrew J. Greenshaw, Russell Greiner

* 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver, Canada. The Supplementary Material: https://www.yousefnezhad.com/publications/NeurIPS2020_Paper4157_SuppMat.zip 

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ASMFS: Adaptive-Similarity-based Multi-modality Feature Selection for Classification of Alzheimer's Disease

Oct 16, 2020
Yuang Shi, Chen Zu, Mei Hong, Luping Zhou, Lei Wang, Xi Wu, Jiliu Zhou, Daoqiang Zhang, Yan Wang

* 27 pages, 10 figures 

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Deep Representational Similarity Learning for analyzing neural signatures in task-based fMRI dataset

Sep 28, 2020
Muhammad Yousefnezhad, Jeffrey Sawalha, Alessandro Selvitella, Daoqiang Zhang

* Neuroinformatics 

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Ordinal Pattern Kernel for Brain Connectivity Network Classification

Aug 18, 2020
Kai Ma, Biao Jie, Wei Shao, Daoqiang Zhang

* 10 pages, 3 figures 

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An Explainable 3D Residual Self-Attention Deep Neural Network FOR Joint Atrophy Localization and Alzheimer's Disease Diagnosis using Structural MRI

Aug 10, 2020
Xin Zhang, Liangxiu Han, Wenyong Zhu, Liang Sun, Daoqiang Zhang


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A Survey on Deep Learning for Neuroimaging-based Brain Disorder Analysis

May 10, 2020
Li Zhang, Mingliang Wang, Mingxia Liu, Daoqiang Zhang

* 30 pages, 7 figures 

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Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

May 07, 2020
Liang Sun, Zhanhao Mo, Fuhua Yan, Liming Xia, Fei Shan, Zhongxiang Ding, Wei Shao, Feng Shi, Huan Yuan, Huiting Jiang, Dijia Wu, Ying Wei, Yaozong Gao, Wanchun Gao, He Sui, Daoqiang Zhang, Dinggang Shen


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Nyström Subspace Learning for Large-scale SVMs

Feb 20, 2020
Weida Li, Mingxia Liu, Daoqiang Zhang


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Supervised Hyperalignment for multi-subject fMRI data alignment

Jan 09, 2020
Muhammad Yousefnezhad, Alessandro Selvitella, Liangxiu Han, Daoqiang Zhang

* IEEE Transactions on Cognitive and Developmental Systems 

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A Graph-Based Decoding Model for Incomplete Multi-Subject fMRI Functional Alignment

May 28, 2019
Weida Li, Fang Chen, Daoqiang Zhang


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SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction

Mar 05, 2019
Zhongnian Li, Tao Zhang, Peng Wan, Daoqiang Zhang

* 9 pages,5 figures, Proceedings of the Association for the Advancement of Artificial Intelligence (AAAI-19) 

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Gradient-based Representational Similarity Analysis with Searchlight for Analyzing fMRI Data

Sep 12, 2018
Xiaoliang Sheng, Muhammad Yousefnezhad, Tonglin Xu, Ning Yuan, Daoqiang Zhang

* Conference: Chinese Conference on Pattern Recognition and Computer Vision 2018 (PRCV18), 23-26/Nov, Guangzhou, China 

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Multi-Objective Cognitive Model: a supervised approach for multi-subject fMRI analysis

Aug 05, 2018
Muhammad Yousefnezhad, Daoqiang Zhang

* Neuroinformatics, Springer 

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Gradient Hyperalignment for multi-subject fMRI data alignment

Jul 07, 2018
Tonglin Xu, Muhammad Yousefnezhad, Daoqiang Zhang

* 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2018), Nanjing, China, August 28-31, 2018 

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Deep Hyperalignment

Oct 11, 2017
Muhammad Yousefnezhad, Daoqiang Zhang

* 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA 

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Anatomical Pattern Analysis for decoding visual stimuli in human brains

Oct 05, 2017
Muhammad Yousefnezhad, Daoqiang Zhang

* Published in Cognitive Computation 

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Multi-Region Neural Representation: A novel model for decoding visual stimuli in human brains

Dec 26, 2016
Muhammad Yousefnezhad, Daoqiang Zhang

* Accepted in SIAM International Conference on Data Mininig (SDM), Houston, Texas, USA, April/27-29, 2017 

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WoCE: a framework for clustering ensemble by exploiting the wisdom of Crowds theory

Dec 20, 2016
Muhammad Yousefnezhad, Sheng-Jun Huang, Daoqiang Zhang

* Accepted in IEEE Transactions on Cybernetics 

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Local Discriminant Hyperalignment for multi-subject fMRI data alignment

Nov 25, 2016
Muhammad Yousefnezhad, Daoqiang Zhang

* Published in the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) 

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A new selection strategy for selective cluster ensemble based on Diversity and Independency

Oct 09, 2016
Muhammad Yousefnezhad, Ali Reihanian, Daoqiang Zhang, Behrouz Minaei-Bidgoli

* Accepted in Engineering Applications of Artificial Intelligence (EAAI) Journal 

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Decoding visual stimuli in human brain by using Anatomical Pattern Analysis on fMRI images

Sep 04, 2016
Muhammad Yousefnezhad, Daoqiang Zhang

* The 8th International Conference on Brain Inspired Cognitive Systems (BICS'16), Beijing, China, Nov/28-30/2016 

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Weighted Spectral Cluster Ensemble

Apr 25, 2016
Muhammad Yousefnezhad, Daoqiang Zhang

* IEEE International Conference on Data Mining (ICDM), 2015 

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