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



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

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

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Deep Embedded Multi-View Clustering via Jointly Learning Latent Representations and Graphs



Zongmo Huang , Yazhou Ren , Xiaorong Pu , Lifang He


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Interpretable Graph Convolutional Network of Multi-Modality Brain Imaging for Alzheimer's Disease Diagnosis



Houliang Zhou , Lifang He , Yu Zhang , Li Shen , Brian Chen

* This paper has been published to IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022 

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Deep Reinforcement Learning Guided Graph Neural Networks for Brain Network Analysis



Xusheng Zhao , Jia Wu , Hao Peng , Amin Beheshti , Jessica Monaghan , David McAlpine , Heivet Hernandez-Perez , Mark Dras , Qiong Dai , Yangyang Li , Philip S. Yu , Lifang He


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Task Modifiers for HTN Planning and Acting



Weihang Yuan , Hector Munoz-Avila , Venkatsampath Raja Gogineni , Sravya Kondrakunta , Michael Cox , Lifang He

* Presented at The Ninth Advances in Cognitive Systems (ACS) Conference 2021 (arXiv:2201.06134) 

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Deep learning for drug repurposing: methods, databases, and applications



Xiaoqin Pan , Xuan Lin , Dongsheng Cao , Xiangxiang Zeng , Philip S. Yu , Lifang He , Ruth Nussinov , Feixiong Cheng

* Accepted by WIREs Computational Molecular Science 

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Structure-Preserving Graph Kernel for Brain Network Classification



Zhaomin Kong , Aditya Kendre , Jun Yu , Hao Peng , Carl Yang , Lichao Sun , Alex Leow , Lifang He


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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization



Ye Liu , Jian-Guo Zhang , Yao Wan , Congying Xia , Lifang He , Philip S. Yu

* EMNLP 2021 (short paper) 

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Multiplex Graph Networks for Multimodal Brain Network Analysis



Zhaoming Kong , Lichao Sun , Hao Peng , Liang Zhan , Yong Chen , Lifang He


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