Zonghao Chen
YOU?
Author Swipe
View article: Stationary MMD Points for Cubature
Stationary MMD Points for Cubature Open
Approximation of a target probability distribution using a finite set of points is a problem of fundamental importance, arising in cubature, data compression, and optimisation. Several authors have proposed to select points by minimising a…
View article: Nested Expectations with Kernel Quadrature
Nested Expectations with Kernel Quadrature Open
This paper considers the challenging computational task of estimating nested expectations. Existing algorithms, such as nested Monte Carlo or multilevel Monte Carlo, are known to be consistent but require a large number of samples at both …
View article: Experimental Investigation of Three-Dimensional Multi-Directional Piezoelectric Wind Energy Harvester
Experimental Investigation of Three-Dimensional Multi-Directional Piezoelectric Wind Energy Harvester Open
The wind-induced vibration energy harvester is a type of ideal power source for wireless sensor nodes. To adapt to the uncertainty of wind direction in natural environments, this paper proposes a three-dimensional multi-directional piezoel…
View article: (De)-regularized Maximum Mean Discrepancy Gradient Flow
(De)-regularized Maximum Mean Discrepancy Gradient Flow Open
We introduce a (de)-regularization of the Maximum Mean Discrepancy (DrMMD) and its Wasserstein gradient flow. Existing gradient flows that transport samples from source distribution to target distribution with only target samples, either l…
View article: Conditional Bayesian Quadrature
Conditional Bayesian Quadrature Open
We propose a novel approach for estimating conditional or parametric expectations in the setting where obtaining samples or evaluating integrands is costly. Through the framework of probabilistic numerical methods (such as Bayesian quadrat…
View article: Conformal Counterfactual Inference under Hidden Confounding
Conformal Counterfactual Inference under Hidden Confounding Open
Personalized decision making requires the knowledge of potential outcomes under different treatments, and confidence intervals about the potential outcomes further enrich this decision-making process and improve its reliability in high-sta…
View article: Tractable Function-Space Variational Inference in Bayesian Neural Networks
Tractable Function-Space Variational Inference in Bayesian Neural Networks Open
Reliable predictive uncertainty estimation plays an important role in enabling the deployment of neural networks to safety-critical settings. A popular approach for estimating the predictive uncertainty of neural networks is to define a pr…
View article: An RFI Mitigation Pipeline for CRAFTS Multi-beam Data Based on Signal Cross-Correlation Function and SumThreshold Algorithm
An RFI Mitigation Pipeline for CRAFTS Multi-beam Data Based on Signal Cross-Correlation Function and SumThreshold Algorithm Open
The increasing radio frequency interference (RFI) is a well-recognized problem in radio astronomy research. Pulsars and Fast Radio Bursts (FRBs) are high-priority science targets of the ongoing Commercial Radio Astronomy FAST Survey (CRAFT…
View article: PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image
PanoViT: Vision Transformer for Room Layout Estimation from a Single Panoramic Image Open
In this paper, we propose PanoViT, a panorama vision transformer to estimate the room layout from a single panoramic image. Compared to CNN models, our PanoViT is more proficient in learning global information from the panoramic image for …
View article: A GPU based single-pulse search pipeline (GSP) with database and its application to the Commensal Radio Astronomy FAST Survey (CRAFTS)
A GPU based single-pulse search pipeline (GSP) with database and its application to the Commensal Radio Astronomy FAST Survey (CRAFTS) Open
We developed a GPU based single-pulse search pipeline (GSP) with a candidate-archiving database. Largely based upon the infrastructure of the open source PulsaR Exploration and Search Toolkit (PRESTO), GSP implements GPU acceleration of th…
View article: Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Efficient Neural Network Training via Forward and Backward Propagation Sparsification Open
Sparse training is a natural idea to accelerate the training speed of deep neural networks and save the memory usage, especially since large modern neural networks are significantly over-parameterized. However, most of the existing methods…
View article: Distortion-Aware Monocular Depth Estimation for Omnidirectional Images
Distortion-Aware Monocular Depth Estimation for Omnidirectional Images Open
A main challenge for tasks on panorama lies in the distortion of objects among images. In this work, we propose a Distortion-Aware Monocular Omnidirectional (DAMO) dense depth estimation network to address this challenge on indoor panorama…
View article: Association of early elevated cardiac troponin I concentration and longitudinal change after off-pump coronary artery bypass grafting and adverse events: a prospective cohort study
Association of early elevated cardiac troponin I concentration and longitudinal change after off-pump coronary artery bypass grafting and adverse events: a prospective cohort study Open
Longitudinal change in cTnI levels within 24 hours and early cTnI concentrations, even less than 1 hour after CABG, are associated with adverse events. These data will be useful in identifying patients at an increased risk of complications.
View article: Three Essays on Corporate Governance in China
Three Essays on Corporate Governance in China Open
This thesis consists of three empirical papers on corporate governance in Chinese listed firms. The first essay examines the influence of director characteristics and ownership structure on director compensation. Over the period 2005 throu…
View article: Three Essays on Corporate Governance in China
Three Essays on Corporate Governance in China Open
This thesis consists of three empirical papers on corporate governance in Chinese listed firms. The first essay examines the influence of director characteristics and ownership structure on director compensation. Over the period 2005 throu…
View article: MicroRNA-16 is putatively involved in the NF-κB pathway regulation in ulcerative colitis through adenosine A2a receptor (A2aAR) mRNA targeting
MicroRNA-16 is putatively involved in the NF-κB pathway regulation in ulcerative colitis through adenosine A2a receptor (A2aAR) mRNA targeting Open
MicroRNAs (miRNAs) act as important post-transcriptional regulators of gene expression by targeting the 3′-untranslated region of their target genes. Altered expression of miR-16 is reported in human ulcerative colitis (UC), but its role i…