b'Lei Shi'

Inferring Network Structures via Signal Lasso

Inferring the connectivity structure of networked systems from data is a...
04/06/2021 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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A Design Process of Visual Analytics Applications using Conceptual Graph

State-of-the-art visual analytics techniques in application domains are ...
04/03/2021 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition

Existing methods for skeleton-based action recognition mainly focus on i...
03/22/2021 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Session-layer Attack Traffic Classification by Program Synthesis

Writing classification rules to identify malicious network traffic is a ...
10/13/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Fast algorithms for robust principal component analysis with an upper bound on the rank

The robust principal component analysis (RPCA) decomposes a data matrix ...
08/18/2020 ∙ by Ningyu Sha, et al. ∙ 36 ∙ share

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Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities

While Massive Open Online Course (MOOCs) platforms provide knowledge in ...
08/12/2020 ∙ by Ahmed Alamri, et al. ∙ 0 ∙ share

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Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students

Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity o...
08/12/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study

Gamification design has benefited from data-driven approaches to creatin...
08/12/2020 ∙ by Armando Toda, et al. ∙ 0 ∙ share

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Analysing gamification elements in educational environments using an existing Gamification taxonomy

Gamification has been widely employed in the educational domain over the...
08/12/2020 ∙ by Armando M. Toda, et al. ∙ 0 ∙ share

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Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach

Millions of people have enrolled and enrol (especially in the Covid-19 p...
08/12/2020 ∙ by Ahmed Alamri, et al. ∙ 0 ∙ share

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Social Engagement versus Learning Engagement – An Exploratory Study of FutureLearn Learners

Massive Open Online Courses (MOOCs) continue to see increasing enrolment...
08/11/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Exploring Navigation Styles in a FutureLearn MOOC

This paper presents for the first time a detailed analysis of fine-grain...
08/10/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Social Interactions Clustering MOOC Students: An Exploratory Study

An exploratory study on social interactions of MOOC students in FutureLe...
08/10/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Measure the Impact of Institution and Paper via Institution-citation Network

This paper investigates the impact of institutes and papers over time ba...
08/10/2020 ∙ by Xiaomei Bai, et al. ∙ 0 ∙ share

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Contrastive Visual-Linguistic Pretraining

Several multi-modality representation learning approaches such as LXMERT...
07/26/2020 ∙ by Lei Shi, et al. ∙ 10 ∙ share

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Decoupled Spatial-Temporal Attention Network for Skeleton-Based Action Recognition

Dynamic skeletal data, represented as the 2D/3D coordinates of human joi...
07/07/2020 ∙ by Lei Shi, et al. ∙ 12 ∙ share

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Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces

In this paper, we study the asymptotical properties of least squares reg...
06/01/2020 ∙ by Fanghui Liu, et al. ∙ 0 ∙ share

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SC4D: A Sparse 4D Convolutional Network for Skeleton-Based Action Recognition

In this paper, a new perspective is presented for skeleton-based action ...
04/07/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Mobility Inference on Long-Tailed Sparse Trajectory

Analyzing the urban trajectory in cities has become an important topic i...
01/21/2020 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks

Graph convolutional networks (GCNs), which generalize CNNs to more gener...
12/15/2019 ∙ by Lei Shi, et al. ∙ 10 ∙ share

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Action Recognition via Pose-Based Graph Convolutional Networks with Intermediate Dense Supervision

Pose-based action recognition has drawn considerable attention recently....
11/28/2019 ∙ by Lei Shi, et al. ∙ 23 ∙ share

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What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction

In gaze based Human-Robot Interaction (HRI), it is important to determin...
09/17/2019 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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A study of multivalent q-starlike functions connected with circular domain

In the present article, our aim is to examine some useful problems inclu...
07/18/2019 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Gaussian Mixture Marginal Distributions for Modelling Remaining Pipe Wall Thickness of Critical Water Mains in Non-Destructive Evaluation

Rapidly estimating the remaining wall thickness (RWT) is paramount for t...
07/02/2019 ∙ by Linh Nguyen, et al. ∙ 1 ∙ share

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Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study

Gamification frameworks can aid in gamification planning for education. ...
05/22/2019 ∙ by Armando M. Toda, et al. ∙ 0 ∙ share

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Fine-Grained Named Entity Recognition using ELMo and Wikidata

Fine-grained Named Entity Recognition is a task whereby we detect and cl...
04/23/2019 ∙ by Cihan Dogan, et al. ∙ 0 ∙ share

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MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

The prevalence of networked sensors and actuators in many real-world sys...
01/15/2019 ∙ by Dan Li, et al. ∙ 20 ∙ share

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Realizing data features by deep nets

This paper considers the power of deep neural networks (deep nets for sh...
01/01/2019 ∙ by Zheng-Chu Guo, et al. ∙ 0 ∙ share

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Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions

Hyper-kernels endowed by hyper-Reproducing Kernel Hilbert Space (hyper-R...
09/26/2018 ∙ by Fanghui Liu, et al. ∙ 0 ∙ share

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Airdrops and Privacy: A Case Study in Cross-Blockchain Analysis

Airdrops are a popular method of distributing cryptocurrencies and token...
09/14/2018 ∙ by Martin Harrigan, et al. ∙ 0 ∙ share

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Adaptive Spectral Graph Convolutional Networks for Skeleton-Based Action Recognition

Traditional deep methods for skeleton-based action recognition usually s...
05/20/2018 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Fast and Strong Convergence of Online Learning Algorithms

In this paper, we study the online learning algorithm without explicit r...
10/10/2017 ∙ by Zheng-Chu Guo, et al. ∙ 0 ∙ share

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Learning Theory of Distributed Regression with Bias Corrected Regularization Kernel Network

Distributed learning is an effective way to analyze big data. In distrib...
08/07/2017 ∙ by Zhengchu Guo, et al. ∙ 0 ∙ share

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Real-time 3D Human Tracking for Mobile Robots with Multisensors

Acquiring the accurate 3-D position of a target person around a robot pr...
03/15/2017 ∙ by Mengmeng Wang, et al. ∙ 0 ∙ share

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Mixed one-bit compressive sensing with applications to overexposure correction for CT reconstruction

When a measurement falls outside the quantization or measurable range, i...
01/03/2017 ∙ by Xiaolin Huang, et al. ∙ 0 ∙ share

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A Novel Artificial Fish Swarm Algorithm for Pattern Recognition with Convex Optimization

Image pattern recognition is an important area in digital image processi...
12/01/2016 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Functional Hashing for Compressing Neural Networks

As the complexity of deep neural networks (DNNs) trend to grow to absorb...
05/20/2016 ∙ by Lei Shi, et al. ∙ 0 ∙ share

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Place classification with a graph regularized deep neural network model

Place classification is a fundamental ability that a robot should posses...
06/12/2015 ∙ by Yiyi Liao, et al. ∙ 0 ∙ share

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Pinball Loss Minimization for One-bit Compressive Sensing

The one-bit quantization can be implemented by one single comparator, wh...
05/14/2015 ∙ by Xiaolin Huang, et al. ∙ 0 ∙ share

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Lei Shi

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