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Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks


Nov 01, 2022
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang

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* Work in progress 

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Brain Network Transformer


Oct 15, 2022
Xuan Kan, Wei Dai, Hejie Cui, Zilong Zhang, Ying Guo, Carl Yang

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* Accepted to NeurIPS 2022. The previous version is accepted for Workshop ICML-IMLH 2022 (Oral, no proceedings) 

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Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection


Jul 27, 2022
Jianshu Li, Man Luo, Jian Liu, Tao Chen, Chengjie Wang, Ziwei Liu, Shuo Liu, Kewei Yang, Xuning Shao, Kang Chen, Boyuan Liu, Mingyu Guo, Ying Guo, Yingying Ao, Pengfei Gao

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* Workshop and challenge summary paper, containing technical reports from different teams 

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Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning


Jun 09, 2022
Yi Yang, Yanqiao Zhu, Hejie Cui, Xuan Kan, Lifang He, Ying Guo, Carl Yang

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* Accepted to KDD 2022 (Health Day), 9 pages 

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FBNETGEN: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation


May 29, 2022
Xuan Kan, Hejie Cui, Joshua Lukemire, Ying Guo, Carl Yang

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* This paper has been accepted for presentation in MIDL 2022 

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Identifying Critical LMS Features for Predicting At-risk Students


Apr 27, 2022
Ying Guo, Cengiz Gunay, Sairam Tangirala, David Kerven, Wei Jin, Jamye Curry Savage, Seungjin Lee

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Unrestricted Adversarial Attacks on ImageNet Competition


Oct 25, 2021
Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Fangcheng Liu, Chao Zhang, Hongyang Zhang, Yichi Zhang, Shilong Liu, Chang Liu, Wenzhao Xiang, Yajie Wang, Huipeng Zhou, Haoran Lyu, Yidan Xu, Zixuan Xu, Taoyu Zhu, Wenjun Li, Xianfeng Gao, Guoqiu Wang, Huanqian Yan, Ying Guo, Chaoning Zhang, Zheng Fang, Yang Wang, Bingyang Fu, Yunfei Zheng, Yekui Wang, Haorong Luo, Zhen Yang

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* CVPR-2021 AIC Phase VI Track2: Unrestricted Adversarial Attacks on ImageNet 

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Effective and Interpretable fMRI Analysis via Functional Brain Network Generation


Jul 23, 2021
Xuan Kan, Hejie Cui, Ying Guo, Carl Yang

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* This paper has been accepted for ICML 2021 Workshop for Interpretable Machine Learning in Healthcare 

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Improving Adversarial Transferability with Gradient Refining


May 11, 2021
Guoqiu Wang, Huanqian Yan, Ying Guo, Xingxing Wei

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