Hang Yu

Orcid: 0000-0002-5818-686X

Affiliations:

Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore

According to our database¹, Hang Yu authored at least 40 papers between 2011 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2023

Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.

[BibT_eX]

[DOI]

Hang Yu

Songwei Wu

Justin Dauwels

IEEE Trans. Pattern Anal. Mach. Intell., 2023

BALANCE: Bayesian Linear Attribution for Root Cause Localization.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

2021

Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

2020

Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2020

Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

CoRR, 2020

Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization.

[BibT_eX]

[DOI]

Songwei Wu

Hang Yu

Justin Dauwels

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models.

[BibT_eX]

[DOI]

Hang Yu

Luyin Xin

Justin Dauwels

IEEE Trans. Signal Process., 2019

Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference.

[BibT_eX]

[DOI]

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Variational Bayesian Point Set Registration.

[BibT_eX]

[DOI]

Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection.

[BibT_eX]

[DOI]

Songwei Wu

Hang Yu

Justin Dauwels

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas.

[BibT_eX]

[DOI]

Hang Yu

Wayne Isaac T. Uy

Justin Dauwels

IEEE Trans. Signal Process., 2017

A Two-Step Prediction ADC Architecture for Integrated Low Power Image Sensors.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Linear-complexity stochastic variational Bayes inference for SLAM.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

2016

Modeling Spatio-Temporal Extreme Events Using Graphical Models.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

IEEE Trans. Signal Process., 2016

An Antivibration Time-Delay Integration CMOS Image Sensor With Online Deblurring Algorithm.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2016

A Global-Shutter Centroiding Measurement CMOS Image Sensor With Star Region SNR Improvement for Star Trackers.

[BibT_eX]

[DOI]

Xinyuan Qian

Hang Yu

Shoushun Chen

IEEE Trans. Circuits Syst. Video Technol., 2016

Variational bayes learning of time-varying graphical models.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Latent tree ensemble of pairwise copulas for spatial extremes analysis.

[BibT_eX]

[DOI]

Hang Yu

Junwei Huang

Justin Dauwels

Proceedings of the IEEE International Symposium on Information Theory, 2016

Variational Bayesian dynamic compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Outlier-insensitive Kalman smoothing and marginal message passing.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

A time delay integration CMOS image sensor with online deblurring algorithm.

[BibT_eX]

[DOI]

Proceedings of the VLSI Design, Automation and Test, 2015

Variational Bayes learning of graphical models with hidden variables.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

An 8-stage time delay integration CMOS image sensor with on-chip polarization pixels.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Variational Bayes learning of multiscale graphical models.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Variational inference for graphical models of multivariate piecewise-stationary time series.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

Extreme-Value Graphical Models With Multiple Covariates.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Philip Jonathan

IEEE Trans. Signal Process., 2014

Spatio-temporal graphical models for extreme events.

[BibT_eX]

[DOI]

Hang Yu

Liaofan Zhang

Justin Dauwels

Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Design and characterization of radiation-tolerant CMOS 4T Active Pixel Sensors.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Symposium on Integrated Circuits (ISIC), 2014

Network inference and change point detection for piecewise-stationary time series.

[BibT_eX]

[DOI]

Hang Yu

Chenyang Li

Justin Dauwels

Proceedings of the IEEE International Conference on Acoustics, 2014

Extreme-value graphical models with multiple covariates.

[BibT_eX]

[DOI]

Hang Yu

Jingjing Cheng

Justin Dauwels

Proceedings of the IEEE International Conference on Acoustics, 2014

Sensor fault detection by sparsity optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

A dual-exposure in-pixel charge subtraction CTIA CMOS image sensor for centroid measurement in star trackers.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Asia Pacific Conference on Circuits and Systems, 2014

2013

Copula Gaussian graphical model for discrete data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

A bio-inspired feedforward system for categorization of AER motion events.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012

Modeling spatially-dependent extreme events with Markov random field priors.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

A Time-Delay-Integration CMOS image sensor with pipelined charge transfer architecture.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

Copula Gaussian graphical models with hidden variables.

[BibT_eX]

[DOI]

Hang Yu

Justin Dauwels

Xueou Wang

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Copula Gaussian multiscale graphical models with application to geophysical modeling.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information Fusion, 2012

Modeling extreme events in spatial domain by copula graphical models.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Inferring Brain Networks through Graphical Models with Hidden Variables.

[BibT_eX]

[DOI]

Charles-François Vincent Latchoumane

Jaeseung Jeong

Andrzej Cichocki

Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011

Hang Yu

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