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04/25/2023
Towards Generating Hop-constrained s-t Simple Path Graphs
Graphs have been widely used in real-world applications, in which invest...
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03/21/2023
Addressing Class Variable Imbalance in Federated Semi-supervised Learning
Federated Semi-supervised Learning (FSSL) combines techniques from both ...
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01/03/2023
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning
Automatic segmentation of brain MR images into white matter (WM), gray m...
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12/24/2022
Author Name Disambiguation via Heterogeneous Network Embedding from Structural and Semantic Perspectives
Name ambiguity is common in academic digital libraries, such as multiple...
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11/08/2022
Abstraction-Based Verification of Approximate Pre-Opacity for Control Systems
In this paper, we consider the problem of verifying pre-opacity for disc...
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09/22/2022
Enhanced Decentralized Federated Learning based on Consensus in Connected Vehicles
Advanced researches on connected vehicles have recently targeted to the ...
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04/28/2022
Improving the estimation of directional area scattering factor (DASF) from canopy reflectance: theoretical basis and validation
Directional area scattering factor (DASF) is a critical canopy structura...
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03/23/2022
On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study
Feature attribution XAI algorithms enable their users to gain insight in...
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02/14/2022
Secure-by-Construction Synthesis of Cyber-Physical Systems
Correct-by-construction synthesis is a cornerstone of the confluence of ...
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11/02/2021
An Investigation of the Impact of COVID-19 Non-Pharmaceutical Interventions and Economic Support Policies on Foreign Exchange Markets with Explainable AI Techniques
Since the onset of the the COVID-19 pandemic, many countries across the ...
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10/29/2021
Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model
Understanding protein sequences is vital and urgent for biology, healthc...
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10/14/2021
Improved Drug-target Interaction Prediction with Intermolecular Graph Transformer
The identification of active binding drugs for target proteins (termed a...
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10/09/2021
Learning MRI Artifact Removal With Unpaired Data
Retrospective artifact correction (RAC) improves image quality post acqu...
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09/30/2021
Learning Multi-Site Harmonization of Magnetic Resonance Images Without Traveling Human Phantoms
Harmonization improves data consistency and is central to effective inte...
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05/20/2021
Evaluating the Correctness of Explainable AI Algorithms for Classification
Explainable AI has attracted much research attention in recent years wit...
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03/01/2021
Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans
The database systems course is offered as part of an undergraduate compu...
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05/05/2020
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques
Since COVID-19 was first identified in December 2019, various public hea...
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05/05/2020
Explainable AI for Classification using Probabilistic Logic Inference
The overarching goal of Explainable AI is to develop systems that not on...
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04/07/2019
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks
In this paper, we introduce an image quality assessment (IQA) method for...
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01/23/2019
Computer Vision and Metrics Learning for Hypothesis Testing: An Application of Q-Q Plot for Normality Test
This paper proposes a new procedure to construct test statistics for hyp...
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09/03/2018
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks
We consider the single image super-resolution problem in a more general ...
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05/15/2018
NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education
Relational database management system (RDBMS) is a major undergraduate c...
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05/15/2018
NEURON: An Interactive Natural Language Interface for Understanding Query Execution Plans in RDBMS
Natural language interfaces for relational databases have been explored ...
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08/27/2017