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SEED: Sound Event Early Detection via Evidential Uncertainty


Feb 13, 2022
Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen

* ICASSP 2022 

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Unsupervised Document Embedding via Contrastive Augmentation


Mar 26, 2021
Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang

* 13 pages; under review 

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Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts


Mar 15, 2021
Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang

* KDD-19 

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Learning to Drop: Robust Graph Neural Network via Topological Denoising


Nov 13, 2020
Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang

* WSDM 2021 

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Parameterized Explainer for Graph Neural Network


Nov 09, 2020
Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

* NeurIPS 2020 

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Learning Robust Representations with Graph Denoising Policy Network


Oct 04, 2019
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen

* 10 pages 

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Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding


Dec 09, 2018
Yao Li, Martin Renqiang Min, Wenchao Yu, Cho-Jui Hsieh, Thomas C. M. Lee, Erik Kruus

* 9 pages 

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