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AutoSpeech 2020: The Second Automated Machine Learning Challenge for Speech Classification

Oct 25, 2020
Jingsong Wang, Tom Ko, Zhen Xu, Xiawei Guo, Souxiang Liu, Wei-Wei Tu, Lei Xie

* 5 pages, 2 figures, Details about AutoSpeech 2020 Challenge 

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Fast Thompson Sampling Algorithm with Cumulative Oversampling: Application to Budgeted Influence Maximization

Apr 24, 2020
Shatian Wang, Shuoguang Yang, Zhen Xu, Van-Anh Truong

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Deep Physiological State Space Model for Clinical Forecasting

Dec 04, 2019
Yuan Xue, Denny Zhou, Nan Du, Andrew Dai, Zhen Xu, Kun Zhang, Claire Cui

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Flow Contrastive Estimation of Energy-Based Models

Dec 02, 2019
Ruiqi Gao, Erik Nijkamp, Diederik P. Kingma, Zhen Xu, Andrew M. Dai, Ying Nian Wu

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Beyond Adaptive Submodularity: Adaptive Influence Maximization with Intermediary Constraints

Nov 08, 2019
Shatian Wang, Zhen Xu, Van-Anh Truong

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Learning an Adaptive Learning Rate Schedule

Sep 20, 2019
Zhen Xu, Andrew M. Dai, Jonas Kemp, Luke Metz

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Graph Convolutional Transformer: Learning the Graphical Structure of Electronic Health Records

Jun 28, 2019
Edward Choi, Zhen Xu, Yujia Li, Michael W. Dusenberry, Gerardo Flores, Yuan Xue, Andrew M. Dai

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Incorporating Loose-Structured Knowledge into Conversation Modeling via Recall-Gate LSTM

Feb 06, 2017
Zhen Xu, Bingquan Liu, Baoxun Wang, Chengjie Sun, Xiaolong Wang

* under review of IJCNN 2017; 10 pages, 5 figures 

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Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model

Nov 07, 2016
Zhen Xu, Wen Dong, Sargur Srihari

* In proceedings of 29th Conference on Neural Information Processing Systems (NIPS 2016) 

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