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Towards Similarity-Aware Time-Series Classification



Daochen Zha , Kwei-Herng Lai , Kaixiong Zhou , Xia Hu

* Accepted by SDM 2022 

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CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks



Haotian Xue , Kaixiong Zhou , Tianlong Chen , Kai Guo , Xia Hu , Yi Chang , Xin Wang


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Orthogonal Graph Neural Networks



Kai Guo , Kaixiong Zhou , Xia Hu , Yu Li , Yi Chang , Xin Wang


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Adaptive Label Smoothing To Regularize Large-Scale Graph Training



Kaixiong Zhou , Ninghao Liu , Fan Yang , Zirui Liu , Rui Chen , Li Li , Soo-Hyun Choi , Xia Hu


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Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study



Tianlong Chen , Kaixiong Zhou , Keyu Duan , Wenqing Zheng , Peihao Wang , Xia Hu , Zhangyang Wang

* Preprint 

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Dirichlet Energy Constrained Learning for Deep Graph Neural Networks



Kaixiong Zhou , Xiao Huang , Daochen Zha , Rui Chen , Li Li , Soo-Hyun Choi , Xia Hu


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Simplifying Deep Reinforcement Learning via Self-Supervision



Daochen Zha , Kwei-Herng Lai , Kaixiong Zhou , Xia Hu


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DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization



Zirui Liu , Haifeng Jin , Ting-Hsiang Wang , Kaixiong Zhou , Xia Hu


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Towards Interaction Detection Using Topological Analysis on Neural Networks



Zirui Liu , Qingquan Song , Kaixiong Zhou , Ting Hsiang Wang , Ying Shan , Xia Hu


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