b'Lei Shi'

research

∙ 05/07/2023

Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol

Distributed Machine Learning (DML) systems are utilized to enhance the s...

0 Zixuan Chen, et al. ∙

research

∙ 04/25/2023

STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation

Automated medical image segmentation can assist doctors to diagnose fast...

3 Lei Shi, et al. ∙

research

∙ 04/24/2023

Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs

Quantitatively profiling a scholar's scientific impact is important to m...

0 Yuankai Luo, et al. ∙

research

∙ 04/20/2023

Optimality of Robust Online Learning

In this paper, we study an online learning algorithm with a robust loss ...

0 Zheng-Chu Guo, et al. ∙

research

∙ 04/06/2023

Pairwise Ranking with Gaussian Kernels

Regularized pairwise ranking with Gaussian kernels is one of the cutting...

0 Guanhang Lei, et al. ∙

research

∙ 03/28/2023

Exploring Natural Language Processing Methods for Interactive Behaviour Modelling

Analysing and modelling interactive behaviour is an important topic in h...

0 Guanhua Zhang, et al. ∙

research

∙ 01/05/2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation

This paper explores deep latent variable models for semi-supervised para...

13 Jialin Yu, et al. ∙

research

∙ 11/29/2022

A Decentralized Framework for Kernel PCA with Projection Consensus Constraints

This paper studies kernel PCA in a decentralized setting, where data are...

0 Fan He, et al. ∙

research

∙ 11/20/2022

Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression

Previous analysis of regularized functional linear regression in a repro...

0 Jiading Liu, et al. ∙

research

∙ 10/14/2022

Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate

Decentralized optimization is an emerging paradigm in distributed learni...

0 Zhuoqing Song, et al. ∙

research

∙ 09/25/2022

Capacity dependent analysis for functional online learning algorithms

This article provides convergence analysis of online stochastic gradient...

5 Xin Guo, et al. ∙

research

∙ 09/02/2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations

XAI with natural language processing aims to produce human-readable expl...

8 Jialin Yu, et al. ∙

research

∙ 08/26/2022

Coefficient-based Regularized Distribution Regression

In this paper, we consider the coefficient-based regularized distributio...

0 Yuan Mao, et al. ∙

research

∙ 07/05/2022

LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia

Prior work has explored the writing challenges experienced by people wit...

0 Steven M. Goodman, et al. ∙

research

∙ 04/19/2022

G2GT: Retrosynthesis Prediction with Graph to Graph Attention Neural Network and Self-Training

Retrosynthesis prediction is one of the fundamental challenges in organi...

0 Zaiyun Lin, et al. ∙

research

∙ 03/14/2022

Solving parametric partial differential equations with deep rectified quadratic unit neural networks

Implementing deep neural networks for learning the solution maps of para...

0 Zhen Lei, et al. ∙

research

∙ 02/24/2022

Tactile Materials in Practice: Understanding the Experiences of Teachers of the Visually Impaired

Teachers of the visually impaired (TVIs) regularly present tactile mater...

0 Mahika Phutane, et al. ∙

research

∙ 02/03/2022

Learning with Asymmetric Kernels: Least Squares and Feature Interpretation

Asymmetric kernels naturally exist in real life, e.g., for conditional p...

0 Mingzhen He, et al. ∙

research

∙ 10/12/2021

NetRep: Automatic Repair for Network Programs

Debugging imperative network programs is a challenging task for develope...

0 Lei Shi, et al. ∙

research

∙ 09/24/2021

Few-shot Learning Based on Multi-stage Transfer and Class-Balanced Loss for Diabetic Retinopathy Grading

Diabetic retinopathy (DR) is one of the major blindness-causing diseases...

0 Lei Shi, et al. ∙

research

∙ 09/24/2021

Dense Contrastive Visual-Linguistic Pretraining

Inspired by the success of BERT, several multimodal representation learn...

0 Lei Shi, et al. ∙

research

∙ 07/26/2021

Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs

In this work, we consider the decentralized optimization problem in whic...

0 Zhuoqing Song, et al. ∙

research

∙ 06/14/2021

Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks

In this paper, we propose two communication-efficient algorithms for dec...

0 Zhuoqing Song, et al. ∙

research

∙ 06/13/2021

Multi-modal Scene-compliant User Intention Estimation for Navigation

A multi-modal framework to generated user intention distributions when o...

4 Kavindie Katuwandeniya, et al. ∙

research

∙ 04/26/2021

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums

Massive Open Online Courses (MOOCs) have become a popular choice for e-l...

7 Jialin Yu, et al. ∙

research

∙ 04/06/2021

Inferring Network Structures via Signal Lasso

Inferring the connectivity structure of networked systems from data is a...

0 Lei Shi, et al. ∙

research

∙ 04/03/2021

A Design Process of Visual Analytics Applications using Conceptual Graph

State-of-the-art visual analytics techniques in application domains are ...

0 Lei Shi, et al. ∙

research

∙ 03/22/2021

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

Existing methods for skeleton-based action recognition mainly focus on i...

0 Lei Shi, et al. ∙

research

∙ 10/13/2020

Session-layer Attack Traffic Classification by Program Synthesis

Writing classification rules to identify malicious network traffic is a ...

0 Lei Shi, et al. ∙

research

∙ 08/18/2020

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

The robust principal component analysis (RPCA) decomposes a data matrix ...

36 Ningyu Sha, et al. ∙

research

∙ 08/12/2020

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 ...

0 Ahmed Alamri, et al. ∙

research

∙ 08/12/2020

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

Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity o...

0 Lei Shi, et al. ∙

research

∙ 08/12/2020

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

Gamification design has benefited from data-driven approaches to creatin...

0 Armando Toda, et al. ∙

research

∙ 08/12/2020

Analysing gamification elements in educational environments using an existing Gamification taxonomy

Gamification has been widely employed in the educational domain over the...

0 Armando M. Toda, et al. ∙

research

∙ 08/12/2020

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...

0 Ahmed Alamri, et al. ∙

research

∙ 08/11/2020

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

Massive Open Online Courses (MOOCs) continue to see increasing enrolment...

0 Lei Shi, et al. ∙

research

∙ 08/10/2020

Exploring Navigation Styles in a FutureLearn MOOC

This paper presents for the first time a detailed analysis of fine-grain...

0 Lei Shi, et al. ∙

research

∙ 08/10/2020

Social Interactions Clustering MOOC Students: An Exploratory Study

An exploratory study on social interactions of MOOC students in FutureLe...

0 Lei Shi, et al. ∙

research

∙ 08/10/2020

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

This paper investigates the impact of institutes and papers over time ba...

0 Xiaomei Bai, et al. ∙

research

∙ 07/26/2020

Contrastive Visual-Linguistic Pretraining

Several multi-modality representation learning approaches such as LXMERT...

10 Lei Shi, et al. ∙

research

∙ 07/07/2020

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

Dynamic skeletal data, represented as the 2D/3D coordinates of human joi...

12 Lei Shi, et al. ∙

research

∙ 06/01/2020

Analysis of Least Squares Regularized Regression in Reproducing Kernel Krein Spaces

In this paper, we study the asymptotical properties of least squares reg...

0 Fanghui Liu, et al. ∙

research

∙ 04/07/2020

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

In this paper, a new perspective is presented for skeleton-based action ...

0 Lei Shi, et al. ∙

research

∙ 01/21/2020

Mobility Inference on Long-Tailed Sparse Trajectory

Analyzing the urban trajectory in cities has become an important topic i...

0 Lei Shi, et al. ∙

research

∙ 12/15/2019

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

Graph convolutional networks (GCNs), which generalize CNNs to more gener...

10 Lei Shi, et al. ∙

research

∙ 11/28/2019

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

Pose-based action recognition has drawn considerable attention recently....

23 Lei Shi, et al. ∙

research

∙ 09/17/2019

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...

0 Lei Shi, et al. ∙

research

∙ 07/18/2019

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

In the present article, our aim is to examine some useful problems inclu...

0 Lei Shi, et al. ∙

research

∙ 07/02/2019

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...

1 Linh Nguyen, et al. ∙

research

∙ 05/22/2019

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

Gamification frameworks can aid in gamification planning for education. ...

0 Armando M. Toda, et al. ∙

Lei Shi

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