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Hang Yu
ORCID
Publication Activity (10 Years)
Years Active: 2011-2023
Publications (10 Years): 25
Top Topics
Pairwise
Graphical Models
Extreme Events
Image Sensor
Top Venues
ICASSP
IEEE Trans. Signal Process.
ISIT
CoRR
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Publications
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Hang Yu
,
Songwei Wu
,
Justin Dauwels
Efficient Variational Bayes Learning of Graphical Models With Smooth Structural Changes.
IEEE Trans. Pattern Anal. Mach. Intell.
45 (1) (2023)
Satyajit Neogi
,
Michael Hoy
,
Kang Dang
,
Hang Yu
,
Justin Dauwels
Context Model for Pedestrian Intention Prediction Using Factored Latent-Dynamic Conditional Random Fields.
IEEE Trans. Intell. Transp. Syst.
22 (11) (2021)
Hang Yu
,
Songwei Wu
,
Luyin Xin
,
Justin Dauwels
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination.
J. Mach. Learn. Res.
21 (2020)
Hang Yu
,
Justin Dauwels
Efficient Variational Bayesian Structure Learning of Dynamic Graphical Models.
CoRR
(2020)
Songwei Wu
,
Hang Yu
,
Justin Dauwels
Primal-Dual Stochastic Subgradient Method For Log-Determinant Optimization.
ICASSP
(2020)
Songwei Wu
,
Hang Yu
,
Justin Dauwels
Efficient Stochastic Subgradient Descent Algorithms for High-dimensional Semi-sparse Graphical Model Selection.
ICASSP
(2019)
Hang Yu
,
Luyin Xin
,
Justin Dauwels
Variational Wishart Approximation for Graphical Model Selection: Monoscale and Multiscale Models.
IEEE Trans. Signal Process.
67 (24) (2019)
Xiaoyue Jiang
,
Hang Yu
,
Michael Hoy
,
Justin Dauwels
Variational Bayesian Point Set Registration.
VTC Fall
(2019)
Xiaoyue Jiang
,
Hang Yu
,
Michael Hoy
,
Justin Dauwels
Robust Linear-Complexity Approach to Full SLAM Problems: Stochastic Variational Bayes Inference.
VTC Fall
(2019)
Satyajit Neogi
,
Michael Hoy
,
Kang Dang
,
Hang Yu
,
Justin Dauwels
Context Model for Pedestrian Intention Prediction using Factored Latent-Dynamic Conditional Random Fields.
CoRR
(2019)
Hang Yu
,
Wei Tang
,
Menghan Guo
,
Shoushun Chen
A Two-Step Prediction ADC Architecture for Integrated Low Power Image Sensors.
IEEE Trans. Circuits Syst. I Regul. Pap.
(1) (2017)
Xiaoyue Jiang
,
Michael Hoy
,
Hang Yu
,
Justin Dauwels
Linear-complexity stochastic variational Bayes inference for SLAM.
ITSC
(2017)
Hang Yu
,
Wayne Isaac T. Uy
,
Justin Dauwels
Modeling Spatial Extremes via Ensemble-of-Trees of Pairwise Copulas.
IEEE Trans. Signal Process.
65 (3) (2017)
Hang Yu
,
Junwei Huang
,
Justin Dauwels
Latent tree ensemble of pairwise copulas for spatial extremes analysis.
ISIT
(2016)
Xinyuan Qian
,
Hang Yu
,
Shoushun Chen
A Global-Shutter Centroiding Measurement CMOS Image Sensor With Star Region SNR Improvement for Star Trackers.
IEEE Trans. Circuits Syst. Video Technol.
26 (8) (2016)
Hang Yu
,
Xinyuan Qian
,
Menghan Guo
,
Shoushun Chen
An Antivibration Time-Delay Integration CMOS Image Sensor With Online Deblurring Algorithm.
IEEE Trans. Circuits Syst. Video Technol.
26 (8) (2016)
Hongwei Wang
,
Hang Yu
,
Michael Hoy
,
Justin Dauwels
,
Heping Wang
Variational Bayesian dynamic compressive sensing.
ISIT
(2016)
Federico Wadehn
,
Lukas Bruderer
,
Justin Dauwels
,
Vijay Sahdeva
,
Hang Yu
,
Hans-Andrea Loeliger
Outlier-insensitive Kalman smoothing and marginal message passing.
EUSIPCO
(2016)
Hang Yu
,
Justin Dauwels
Modeling Spatio-Temporal Extreme Events Using Graphical Models.
IEEE Trans. Signal Process.
64 (5) (2016)
Hang Yu
,
Justin Dauwels
Variational bayes learning of time-varying graphical models.
MLSP
(2016)
Hang Yu
,
Xinyuan Qian
,
Menghan Guo
,
Shoushun Chen
,
Kay Soon Low
A time delay integration CMOS image sensor with online deblurring algorithm.
VLSI-DAT
(2015)
Hang Yu
,
Vigil Varghese
,
Xinyuan Qian
,
Menghan Guo
,
Shoushun Chen
,
Kay Soon Low
An 8-stage time delay integration CMOS image sensor with on-chip polarization pixels.
ISCAS
(2015)
Hang Yu
,
Justin Dauwels
Variational inference for graphical models of multivariate piecewise-stationary time series.
FUSION
(2015)
Hang Yu
,
Justin Dauwels
Variational Bayes learning of multiscale graphical models.
ICASSP
(2015)
Hang Yu
,
Justin Dauwels
Variational Bayes learning of graphical models with hidden variables.
MLSP
(2015)
Hang Yu
,
Wayne Isaac T. Uy
,
Justin Dauwels
Modeling spatial extremes via ensemble-of-trees of pairwise copulas.
ICASSP
(2014)
Xinyuan Qian
,
Menghan Guo
,
Hang Yu
,
Shoushun Chen
,
Kay Soon Low
A dual-exposure in-pixel charge subtraction CTIA CMOS image sensor for centroid measurement in star trackers.
APCCAS
(2014)
Hang Yu
,
Chenyang Li
,
Justin Dauwels
Network inference and change point detection for piecewise-stationary time series.
ICASSP
(2014)
Bingxuan Li
,
Hang Yu
,
Justin Dauwels
,
Kay Soon Low
Sensor fault detection by sparsity optimization.
ICASSP
(2014)
Hang Yu
,
Justin Dauwels
,
Philip Jonathan
Extreme-Value Graphical Models With Multiple Covariates.
IEEE Trans. Signal Process.
62 (21) (2014)
Hang Yu
,
Liaofan Zhang
,
Justin Dauwels
Spatio-temporal graphical models for extreme events.
ISIT
(2014)
Xinyuan Qian
,
Hang Yu
,
Shoushun Chen
,
Kay Soon Low
Design and characterization of radiation-tolerant CMOS 4T Active Pixel Sensors.
ISIC
(2014)
Hang Yu
,
Jingjing Cheng
,
Justin Dauwels
Extreme-value graphical models with multiple covariates.
ICASSP
(2014)
Bo Zhao
,
Qiang Yu
,
Hang Yu
,
Shoushun Chen
,
Huajin Tang
A bio-inspired feedforward system for categorization of AER motion events.
BioCAS
(2013)
Justin Dauwels
,
Hang Yu
,
Shiyan Xu
,
Xueou Wang
Copula Gaussian graphical model for discrete data.
ICASSP
(2013)
Hang Yu
,
Zheng Choo
,
Wayne Isaac T. Uy
,
Justin Dauwels
,
Philip Jonathan
Modeling extreme events in spatial domain by copula graphical models.
FUSION
(2012)
Hang Yu
,
Justin Dauwels
,
Xu Zhang
,
Shiyan Xu
,
Wayne Isaac T. Uy
Copula Gaussian multiscale graphical models with application to geophysical modeling.
FUSION
(2012)
Hang Yu
,
Justin Dauwels
,
Xueou Wang
Copula Gaussian graphical models with hidden variables.
ICASSP
(2012)
Hang Yu
,
Zheng Choo
,
Justin Dauwels
,
Philip Jonathan
,
Qiao Zhou
Modeling spatially-dependent extreme events with Markov random field priors.
ISIT
(2012)
Hang Yu
,
Xinyuan Qian
,
Shoushun Chen
,
Kay Soon Low
A Time-Delay-Integration CMOS image sensor with pipelined charge transfer architecture.
ISCAS
(2012)
Justin Dauwels
,
Hang Yu
,
Xueou Wang
,
François B. Vialatte
,
Charles-François Vincent Latchoumane
,
Jaeseung Jeong
,
Andrzej Cichocki
Inferring Brain Networks through Graphical Models with Hidden Variables.
MLINI
(2011)