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08/23/2023
Inferring Human Intentions from Predicted Action Probabilities
Predicting the next action that a human is most likely to perform is key...
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08/18/2023
Solving PDEs on Spheres with Physics-Informed Convolutional Neural Networks
Physics-informed neural networks (PINNs) have been demonstrated to be ef...
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08/01/2023
Construction of 2fi-optimal row-column designs
Row-column factorial designs that provide unconfounded estimation of all...
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07/31/2023
Classification with Deep Neural Networks and Logistic Loss
Deep neural networks (DNNs) trained with the logistic loss (i.e., the cr...
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07/03/2023
Statistical Inference on Multi-armed Bandits with Delayed Feedback
Multi armed bandit (MAB) algorithms have been increasingly used to compl...
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06/29/2023
OSP: Boosting Distributed Model Training with 2-stage Synchronization
Distributed deep learning (DDL) is a promising research area, which aims...
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06/21/2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Magnetic resonance imaging (MRI) using hyperpolarized noble gases provid...
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05/07/2023
Boosting Distributed Machine Learning Training Through Loss-tolerant Transmission Protocol
Distributed Machine Learning (DML) systems are utilized to enhance the s...
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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...
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04/24/2023
Impact-Oriented Contextual Scholar Profiling using Self-Citation Graphs
Quantitatively profiling a scholar's scientific impact is important to m...
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04/20/2023
Optimality of Robust Online Learning
In this paper, we study an online learning algorithm with a robust loss ...
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04/06/2023
Pairwise Ranking with Gaussian Kernels
Regularized pairwise ranking with Gaussian kernels is one of the cutting...
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03/28/2023
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
Analysing and modelling interactive behaviour is an important topic in h...
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01/05/2023
Deep Latent Variable Models for Semi-supervised Paraphrase Generation
This paper explores deep latent variable models for semi-supervised para...
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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...
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11/20/2022
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
Previous analysis of regularized functional linear regression in a repro...
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10/14/2022
Communication-Efficient Topologies for Decentralized Learning with O(1) Consensus Rate
Decentralized optimization is an emerging paradigm in distributed learni...
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09/25/2022
Capacity dependent analysis for functional online learning algorithms
This article provides convergence analysis of online stochastic gradient...
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09/02/2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
XAI with natural language processing aims to produce human-readable expl...
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08/26/2022
Coefficient-based Regularized Distribution Regression
In this paper, we consider the coefficient-based regularized distributio...
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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...
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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...
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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...
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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...
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02/03/2022
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation
Asymmetric kernels naturally exist in real life, e.g., for conditional p...
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10/12/2021
NetRep: Automatic Repair for Network Programs
Debugging imperative network programs is a challenging task for develope...
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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...
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09/24/2021
Dense Contrastive Visual-Linguistic Pretraining
Inspired by the success of BERT, several multimodal representation learn...
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07/26/2021
Provably Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs
In this work, we consider the decentralized optimization problem in whic...
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06/14/2021
Compressed Gradient Tracking for Decentralized Optimization Over General Directed Networks
In this paper, we propose two communication-efficient algorithms for dec...
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06/13/2021
Multi-modal Scene-compliant User Intention Estimation for Navigation
A multi-modal framework to generated user intention distributions when o...
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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...
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04/06/2021
Inferring Network Structures via Signal Lasso
Inferring the connectivity structure of networked systems from data is a...
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04/03/2021
A Design Process of Visual Analytics Applications using Conceptual Graph
State-of-the-art visual analytics techniques in application domains are ...
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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...
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10/13/2020
Session-layer Attack Traffic Classification by Program Synthesis
Writing classification rules to identify malicious network traffic is a ...
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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 ...
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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 ...
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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...
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08/12/2020
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study
Gamification design has benefited from data-driven approaches to creatin...
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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...
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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...
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08/11/2020
Social Engagement versus Learning Engagement – An Exploratory Study of FutureLearn Learners
Massive Open Online Courses (MOOCs) continue to see increasing enrolment...
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08/10/2020
Exploring Navigation Styles in a FutureLearn MOOC
This paper presents for the first time a detailed analysis of fine-grain...
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08/10/2020
Social Interactions Clustering MOOC Students: An Exploratory Study
An exploratory study on social interactions of MOOC students in FutureLe...
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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...
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07/26/2020
Contrastive Visual-Linguistic Pretraining
Several multi-modality representation learning approaches such as LXMERT...
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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...
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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...
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04/07/2020