Yuyang Wang

According to our database1, Yuyang Wang authored at least 64 papers between 2010 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2021
Development of a speed protector to optimize user experience in 3D virtual environments.
Int. J. Hum. Comput. Stud., 2021

Enhanced cognitive workload evaluation in 3D immersive environments with TOPSIS model.
Int. J. Hum. Comput. Stud., 2021

Airfoil GAN: Encoding and Synthesizing Airfoils forAerodynamic-aware Shape Optimization.
CoRR, 2021

2020
The GSVD: Where are the Ellipses?, Matrix Trigonometry, and More.
SIAM J. Matrix Anal. Appl., 2020

GluonTS: Probabilistic and Neural Time Series Modeling in Python.
J. Mach. Learn. Res., 2020

Hierarchical attentive deep neural networks for semantic music annotation through multiple music representations.
Int. J. Multim. Inf. Retr., 2020

Bridging Physics-based and Data-driven modeling for Learning Dynamical Systems.
CoRR, 2020

Intermittent Demand Forecasting with Renewal Processes.
CoRR, 2020

Forecasting Big Time Series: Theory and Practice.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020


Deep Learning-Based Beam Alignment in Mmwave Vehicular Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Characterization and Applications of Spatial Variation Models for Silicon Microring-Based Optical Transceivers.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Robust Scene Text Recognition Through Adaptive Image Enhancement.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Resilient Active Power Sharing in Autonomous Microgrids Using Pinning-Consensus-Based Distributed Control.
IEEE Trans. Smart Grid, 2019

Intermittent Demand Forecasting with Deep Renewal Processes.
CoRR, 2019

GluonTS: Probabilistic Time Series Models in Python.
CoRR, 2019

MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning.
IEEE Access, 2019

Knowledge-Based Open Performance Measurement System (KBO-PMS) for a Garment Product Development Process in Big Data Environment.
IEEE Access, 2019

VR Sickness Prediction for Navigation in Immersive Virtual Environments using a Deep Long Short Term Memory Model.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Design of a Semiautomatic Travel Technique in VR Environments.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Classical and Contemporary Approaches to Big Time Series Forecasting.
Proceedings of the 2019 International Conference on Management of Data, 2019

FastPoint: Scalable Deep Point Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

A Hierarchical Attentive Deep Neural Network Model for Semantic Music Annotation Integrating Multiple Music Representations.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Deep Factors for Forecasting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Text-Attentional Conditional Generative Adversarial Network for Super-Resolution of Text Images.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Task Mapping-Assisted Laser Power Scaling for Optical Network-on-Chips.
Proceedings of the International Conference on Computer-Aided Design, 2019

Fault-Tolerant Decompression Method of Compressed Chinese Text Files.
Proceedings of the Communications, Signal Processing, and Systems, 2019

Bidirectional tuning of microring-based silicon photonic transceivers for optimal energy efficiency.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Probabilistic Forecasting with Spline Quantile Function RNNs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
MmWave Vehicle-to-Infrastructure Communication: Analysis of Urban Microcellular Networks.
IEEE Trans. Veh. Technol., 2018

Forecasting Big Time Series: Old and New.
Proc. VLDB Endow., 2018

CBCRS: An open case-based color recommendation system.
Knowl. Based Syst., 2018

Deep Factors with Gaussian Processes for Forecasting.
CoRR, 2018

Random Hyperplanes, Generalized Singular Values & "What's My β?".
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

MmWave Beam Prediction with Situational Awareness: A Machine Learning Approach.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Super-Resolution of Text Image Based on Conditional Generative Adversarial Network.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Deep State Space Models for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Speed Profile Optimization for Enhanced Passenger Comfort: An Optimal Control Approach.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

5G MIMO Data for Machine Learning: Application to Beam-Selection Using Deep Learning.
Proceedings of the 2018 Information Theory and Applications Workshop, 2018

MmWave Vehicular Beam Training with Situational Awareness by Machine Learning.
Proceedings of the IEEE Globecom Workshops, 2018

Energy-efficient channel alignment of DWDM silicon photonic transceivers.
Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

Pairing of microring-based silicon photonic transceivers for tuning power optimization.
Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

A Weighted MMSE Approach to Amorphous Cell for Mixed-ADC Distributed Massive MIMO.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Towards Robustness: Machine Learning for MmWave V2X with Situational Awareness.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Gini-regularized Optimal Transport with an Application to Spatio-Temporal Forecasting.
CoRR, 2017

Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale.
CoRR, 2017

A learning-based approach for proactive caching in wireless communication networks.
Proceedings of the 9th International Conference on Wireless Communications and Signal Processing, 2017

Blockage and Coverage Analysis with MmWave Cross Street BSs Near Urban Intersections.
Proceedings of the IEEE International Conference on Communications, 2017

Compact modeling and circuit-level simulation of silicon nanophotonic interconnects.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

2016
Beamforming and Interference Cancellation for D2D Communication Underlaying Cellular Networks.
IEEE Trans. Commun., 2016

Interference mitigation scheme by antenna selection in device-to-device communication underlaying cellular networks.
J. Commun. Networks, 2016

Analysis of Urban Millimeter Wave Microcellular Networks.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

In-place Repair for Resistive Memories Utilizing Complementary Resistive Switches.
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016

2015
Sparse Variational Inference for Generalized GP Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015

On antenna selection for D2D communication underlaying cellular networks.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Automated OS-level Device Runtime Power Management.
Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2014
Interference-mitigation based antenna selection scheme in device-to-device communication underlaying cellular networks.
Proceedings of the Sixth International Conference on Wireless Communications and Signal Processing, 2014

2013
Online Learning with Pairwise Loss Functions
CoRR, 2013

2012
Generalization Bounds for Online Learning Algorithms with Pairwise Loss Functions.
Proceedings of the COLT 2012, 2012

Nonparametric Bayesian Mixed-effect Model: a Sparse Gaussian Process Approach
CoRR, 2012

Infinite Shift-invariant Grouped Multi-task Learning for Gaussian Processes
CoRR, 2012

Sparse Gaussian Processes for Multi-task Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

2011
Nonparametric Bayesian Estimation of Periodic Functions
CoRR, 2011

2010
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010


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