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GRP-FED: Addressing Client Imbalance in Federated Learning via Global-Regularized Personalization


Aug 31, 2021
Yen-Hsiu Chou, Shenda Hong, Chenxi Sun, Derun Cai, Moxian Song, Hongyan Li

* (FL-ICML'21) International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2021 

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TE-ESN: Time Encoding Echo State Network for Prediction Based on Irregularly Sampled Time Series Data


May 02, 2021
Chenxi Sun, Shenda Hong, Moxian Song, Yanxiu Zhou, Yongyue Sun, Derun Cai, Hongyan Li

* 7 pages, 4 figures, accepted by IJCAI 2021 

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Robustness Testing of Language Understanding in Dialog Systems


Dec 30, 2020
Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li, Cheng Li, Wei Peng, Minlie Huang


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A Review of Designs and Applications of Echo State Networks


Dec 05, 2020
Chenxi Sun, Moxian Song, Shenda Hong, Hongyan Li

* 37 pages, 5 figures, 2 tables 

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A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data


Oct 26, 2020
Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li

* 19 pages, 7 figures 

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MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals


Jun 06, 2019
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun

* Accepted to IJCAI 2019 

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RDPD: Rich Data Helps Poor Data via Imitation


Sep 07, 2018
Shenda Hong, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun


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GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination


Sep 06, 2018
Junyuan Shang, Cao Xiao, Tengfei Ma, Hongyan Li, Jimeng Sun


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Generative Adversarial Network for Abstractive Text Summarization


Nov 26, 2017
Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

* AAAI 2018 abstract, Supplemental material: http://likicode.com/textsum/ 

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