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5G MIMO Data for Machine Learning: Application to Beam-Selection using Deep Learning


Jun 09, 2021
Aldebaro Klautau, Pedro Batista, Nuria Gonzalez-Prelcic, Yuyang Wang, Robert W. Heath Jr


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Zero-Shot Recommender Systems


May 18, 2021
Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang


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Variance Reduction in Training Forecasting Models with Subgroup Sampling


Mar 02, 2021
Yucheng Lu, Youngsuk Park, Lifan Chen, Yuyang Wang, Christopher De Sa, Dean Foster


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Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems


Feb 27, 2021
Yuyang Wang, Nitin Jonathan Myers, Nuria González-Prelcic, Robert W. Heath Jr

* Submitted to the IEEE Transactions on Wireless Communications. Copyright may be transferred without notice, after which this version may no longer be accessible 

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MolCLR: Molecular Contrastive Learning of Representations via Graph Neural Networks


Feb 19, 2021
Yuyang Wang, Jianren Wang, Zhonglin Cao, Amir Barati Farimani


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Attention-based Domain Adaptation for Time Series Forecasting


Feb 17, 2021
Xiaoyong Jin, Youngsuk Park, Danielle C. Maddix, Yuyang Wang, Xifeng Yan

* 15 pages, 9 figures 

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Deep Reinforcement Learning Optimizes Graphene Nanopores for Efficient Desalination


Feb 09, 2021
Yuyang Wang, Zhonglin Cao, Amir Barati Farimani

* Yuyang Wang and Zhonglin Cao contributed equally to this work 

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Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization


Jan 12, 2021
Yuyang Wang, Kenji Shimada, Amir Barati Farimani


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Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems


Nov 20, 2020
Rui Wang, Danielle Maddix, Christos Faloutsos, Yuyang Wang, Rose Yu


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Intermittent Demand Forecasting with Renewal Processes


Oct 04, 2020
Ali Caner Turkmen, Tim Januschowski, Yuyang Wang, Ali Taylan Cemgil


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Intermittent Demand Forecasting with Deep Renewal Processes


Nov 23, 2019
Ali Caner Turkmen, Yuyang Wang, Tim Januschowski

* NeurIPS 2019 Workshop on Temporal Point Processes 

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GluonTS: Probabilistic Time Series Models in Python


Jun 14, 2019
Alexander Alexandrov, Konstantinos Benidis, Michael Bohlke-Schneider, Valentin Flunkert, Jan Gasthaus, Tim Januschowski, Danielle C. Maddix, Syama Rangapuram, David Salinas, Jasper Schulz, Lorenzo Stella, Ali Caner Türkmen, Yuyang Wang

* ICML Time Series Workshop 2019 

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Deep Factors for Forecasting


May 28, 2019
Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski

* Proceedings of Machine Learning Research, Volume 97: International Conference on Machine Learning, 2019 
* http://proceedings.mlr.press/v97/wang19k/wang19k.pdf. arXiv admin note: substantial text overlap with arXiv:1812.00098 

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Deep Factors with Gaussian Processes for Forecasting


Nov 30, 2018
Danielle C. Maddix, Yuyang Wang, Alex Smola

* Third workshop on Bayesian Deep Learning (NeurIPS 2018), Montreal, Canada 

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Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting


Dec 07, 2017
Lucas Roberts, Leo Razoumov, Lin Su, Yuyang Wang

* 10 pages 

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Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale


Sep 22, 2017
Matthias Seeger, Syama Rangapuram, Yuyang Wang, David Salinas, Jan Gasthaus, Tim Januschowski, Valentin Flunkert


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Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes


May 20, 2013
Yuyang Wang, Roni Khardon, Pavlos Protopapas

* This is an extended version of our ECML 2010 paper entitled "Shift-invariant Grouped Multi-task Learning for Gaussian Processes"; ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III 

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Online Learning with Pairwise Loss Functions


Jan 22, 2013
Yuyang Wang, Roni Khardon, Dmitry Pechyony, Rosie Jones

* This is an extension of our COLT paper 

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Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach


Nov 28, 2012
Yuyang Wang, Roni Khardon

* Preliminary version appeared in ECML2012 

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Nonparametric Bayesian Estimation of Periodic Functions


Mar 07, 2012
Yuyang Wang, Roni Khardon, Pavlos Protopapas


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