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A Knowledge Resources Based Neural Network for Learning Word and Relation Representations

Published in In the proceedings of 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015

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Recommended citation: Shuhan Yuan, Yang Xiang, Maozhen Li, "A Knowledge Resources Based Neural Network for Learning Word and Relation Representations." In the proceedings of 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015-08.

A Two Phase Deep Learning Model for Identifying Discrimination from Tweets

Published in In the proceedings of Proceedings of the 19th International Conference on Extending Database Technology, EDBT 2016, 2016

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Recommended citation: Shuhan Yuan, Xintao Wu, Yang Xiang, "A Two Phase Deep Learning Model for Identifying Discrimination from Tweets." In the proceedings of Proceedings of the 19th International Conference on Extending Database Technology, EDBT 2016, 2016. https://doi.org/10.5441/002/edbt.2016.92

SNE: Signed Network Embedding

Published in In the proceedings of Pacific-Asia conference on knowledge discovery and data mining, 2017

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Recommended citation: Shuhan Yuan, Xintao Wu, Yang Xiang, "SNE: Signed Network Embedding." In the proceedings of Pacific-Asia conference on knowledge discovery and data mining, 2017.

Wikipedia Vandal Early Detection: From User Behavior to User Embedding

Published in In the proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2017

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Recommended citation: Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang, "Wikipedia Vandal Early Detection: From User Behavior to User Embedding." In the proceedings of Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2017.

Differential Privacy Preserving Causal Graph Discovery

Published in In the proceedings of 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 2017

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Recommended citation: Depeng Xu, Shuhan Yuan, Xintao Wu, "Differential Privacy Preserving Causal Graph Discovery." In the proceedings of 2017 IEEE Symposium on Privacy-Aware Computing (PAC), 2017-08.

DPNE: Differentially Private Network Embedding

Published in In the proceedings of Advances in Knowledge Discovery and Data Mining, 2018

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Recommended citation: Depeng Xu, Shuhan Yuan, Xintao Wu, {HaiNhat} Phan, "DPNE: Differentially Private Network Embedding." In the proceedings of Advances in Knowledge Discovery and Data Mining, 2018.

On spectral analysis of directed signed graphs

Published in International Journal of Data Science and Analytics, 2018

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Recommended citation: Yuemeng Li, Shuhan Yuan, Xintao Wu, Aidong Lu, "On spectral analysis of directed signed graphs." International Journal of Data Science and Analytics, 2018.

FairGAN: Fairness-aware Generative Adversarial Networks

Published in In the proceedings of 2018 IEEE International Conference on Big Data (Big Data), 2018

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Recommended citation: Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu, "FairGAN: Fairness-aware Generative Adversarial Networks." In the proceedings of 2018 IEEE International Conference on Big Data (Big Data), 2018-12.

Dynamic Anomaly Detection Using Vector Autoregressive Model

Published in In the proceedings of Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, 2019

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Recommended citation: Yuemeng Li, Aidong Lu, Xintao Wu, Shuhan Yuan, "Dynamic Anomaly Detection Using Vector Autoregressive Model." In the proceedings of Advances in Knowledge Discovery and Data Mining - 23rd Pacific-Asia Conference, PAKDD 2019, Macau, China, April 14-17, 2019, Proceedings, Part I, 2019. https://doi.org/10.1007/978-3-030-16148-4_46

Achieving Causal Fairness through Generative Adversarial Networks

Published in In the proceedings of Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, 2019

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Recommended citation: Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu, "Achieving Causal Fairness through Generative Adversarial Networks." In the proceedings of Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19, 2019. https://doi.org/10.24963/ijcai.2019/201

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