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Defending Against Adversarial Attacks in Transmission- and Distribution-level PMU Data


Aug 20, 2020
Jun Jiang, Xuan Liu, Scott Wallace, Eduardo Cotilla-Sanchez, Robert Bass, Xinghui Zhao

* 9 pages, 2 figures 

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Learning to Locomote with Deep Neural-Network and CPG-based Control in a Soft Snake Robot


Jan 13, 2020
Xuan Liu, Renato Gasoto, Cagdas Onal, Jie Fu

* 8 pages, 9 figures, submitted to ICRA 2020 

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A Validated Physical Model For Real-Time Simulation of Soft Robotic Snakes


Apr 05, 2019
Renato Gasoto, Miles Macklin, Xuan Liu, Yinan Sun, Kenny Erleben, Cagdas Onal, Jie Fu

* Paper accepted on ICRA 2019. Supplemental video https://youtu.be/wUAGTeKtKsc 

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Improving the Interpretability of Deep Neural Networks with Knowledge Distillation


Dec 28, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 2018 IEEE International Conference on Data Mining (ICDM), in press 

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Interpretable Deep Convolutional Neural Networks via Meta-learning


Aug 19, 2018
Xuan Liu, Xiaoguang Wang, Stan Matwin

* 9 pages, 9 figures, 2018 International Joint Conference on Neural Networks, in press 

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A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia


Aug 16, 2018
Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu

* In the proceedings of the 5th Joint International Semantic Technology (JIST2015): https://link.springer.com/chapter/10.1007/978-3-319-31676-5_16 

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DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications


Jun 11, 2018
Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang

* 10 pages, ACL 2018 MRQA Workshop camera-ready version 

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