Liping Wang | DeepAI

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Featured Co-authors

Hao Wang
366 publications
Fan Zhang
151 publications
Lei Chen
128 publications
Liang Wang
119 publications
Jing Yang
111 publications
Tieniu Tan
79 publications
Prasanna Balaprakash
51 publications
Shu Wu
50 publications
Songcan Chen
48 publications
Sudeep Pasricha
48 publications
Xuemin Lin
43 publications

∙ 08/09/2023

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey

Predicting stock prices presents a challenging research problem due to t...

0 Liping Wang, et al. ∙

∙ 05/26/2023

Unleashing the Potential of Unsupervised Deep Outlier Detection through Automated Training Stopping

Outlier detection (OD) has received continuous research interests due to...

0 Yihong Huang, et al. ∙

∙ 03/15/2023

Application of probabilistic modeling and automated machine learning framework for high-dimensional stress field

Modern computational methods, involving highly sophisticated mathematica...

0 Lele Luan, et al. ∙

∙ 10/24/2022

Are we really making much progress in unsupervised graph outlier detection? Revisiting the problem with new insight and superior method

A large number of studies on Graph Outlier Detection (GOD) have emerged ...

0 Yihong Huang, et al. ∙

∙ 05/17/2022

A Framework for CSI-Based Indoor Localization with 1D Convolutional Neural Networks

Modern indoor localization techniques are essential to overcome the weak...

4 Liping Wang, et al. ∙

∙ 08/10/2021

Fully Hyperbolic Graph Convolution Network for Recommendation

Recently, Graph Convolution Network (GCN) based methods have achieved ou...

0 Liping Wang, et al. ∙

∙ 08/10/2021

Label-informed Graph Structure Learning for Node Classification

Graph Neural Networks (GNNs) have achieved great success among various d...

0 Liping Wang, et al. ∙

∙ 07/02/2021

CHISEL: Compression-Aware High-Accuracy Embedded Indoor Localization with Deep Learning

GPS technology has revolutionized the way we localize and navigate outdo...

0 Liping Wang, et al. ∙

∙ 03/29/2021

Graph Classification by Mixture of Diverse Experts

Graph classification is a challenging research problem in many applicati...

0 Fenyu Hu, et al. ∙

∙ 03/12/2021

Discovery of Physics and Characterization of Microstructure from Data with Bayesian Hidden Physics Models

There has been a surge in the interest of using machine learning techniq...

13 Steven Atkinson, et al. ∙

∙ 12/01/2020

Seasonal association between viral etiologies of hospitalized acute lower respiratory infections and meteorological factors in China

Background: Acute lower respiratory infections present pronounced season...

0 Bing Xu, et al. ∙

∙ 08/14/2020

Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems

Industrial dynamical systems often exhibit multi-scale response due to m...

34 Waad Subber, et al. ∙

∙ 08/05/2020

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes

We present a Bayesian approach to identify optimal transformations that ...

7 Panagiotis Tsilifis, et al. ∙

∙ 03/26/2020

Advances in Bayesian Probabilistic Modeling for Industrial Applications

Industrial applications frequently pose a notorious challenge for state-...

6 Sayan Ghosh, et al. ∙

∙ 01/02/2020

Bayesian task embedding for few-shot Bayesian optimization

We describe a method for Bayesian optimization by which one may incorpor...

44 Steven Atkinson, et al. ∙

∙ 09/27/2019

Data-driven discovery of free-form governing differential equations

We present a method of discovering governing differential equations from...

1 Steven Atkinson, et al. ∙

∙ 07/26/2019

A Strategy for Adaptive Sampling of Multi-fidelity Gaussian Process to Reduce Predictive Uncertainty

Multi-fidelity Gaussian process is a common approach to address the exte...

0 Sayan Ghosh, et al. ∙

∙ 07/25/2019

Towards Scalable Gaussian Process Modeling

Numerous engineering problems of interest to the industry are often char...

0 Piyush Pandita, et al. ∙

∙ 03/16/2013

l_2,p Matrix Norm and Its Application in Feature Selection

Recently, l_2,1 matrix norm has been widely applied to many areas such a...

0 Liping Wang, et al. ∙

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