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08/24/2023
A Strength and Sparsity Preserving Algorithm for Generating Weighted, Directed Networks with Predetermined Assortativity
Degree-preserving rewiring is a widely used technique for generating unw...
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07/31/2023
Virtual Prompt Injection for Instruction-Tuned Large Language Models
We present Virtual Prompt Injection (VPI) for instruction-tuned Large La...
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07/20/2023
Instruction-following Evaluation through Verbalizer Manipulation
While instruction-tuned models have shown remarkable success in various ...
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07/17/2023
AlpaGasus: Training A Better Alpaca with Fewer Data
Large language models (LLMs) obtain instruction-following capability thr...
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06/07/2023
DualHGNN: A Dual Hypergraph Neural Network for Semi-Supervised Node Classification based on Multi-View Learning and Density Awareness
Graph-based semi-supervised node classification has been shown to become...
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05/19/2023
A general model-checking procedure for semiparametric accelerated failure time models
We propose a set of goodness-of-fit tests for the semiparametric acceler...
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01/31/2023
Generating General Preferential Attachment Networks with R Package wdnet
Preferential attachment (PA) network models have a wide range of applica...
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12/13/2022
Transfer learning with quantile regression
Quantile regression is increasingly encountered in modern big data appli...
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12/07/2022
Distributed Interaction Graph Construction for Dynamic DCOPs in Cooperative Multi-agent Systems
DCOP algorithms usually rely on interaction graphs to operate. In open a...
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10/25/2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
The information bottleneck (IB) method is a feasible defense solution ag...
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09/15/2022
Robust Implementation of Foreground Extraction and Vessel Segmentation for X-ray Coronary Angiography Image Sequence
The extraction of contrast-filled vessels from X-ray coronary angiograph...
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08/16/2022
An unified framework for point-level, areal, and mixed spatial data: the Hausdorff-Gaussian Process
More realistic models can be built taking into account spatial dependenc...
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06/28/2022
Improving Tese Case Generation for Python Native Libraries Through Constraints on Input Data Structures
Modern Python projects execute computational functions using native libr...
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05/25/2022
Textual Backdoor Attacks with Iterative Trigger Injection
The backdoor attack has become an emerging threat for Natural Language P...
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02/16/2022
Knowledge Management for Cloud Computing Field
Migration legacy systems to cloud platforms is a knowledge intensive pro...
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01/27/2022
Density-Aware Hyper-Graph Neural Networks for Graph-based Semi-supervised Node Classification
Graph-based semi-supervised learning, which can exploit the connectivity...
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01/10/2022
An Efficient Algorithm for Generating Directed Networks with Predetermined Assortativity Measures
Assortativity coefficients are important metrics to analyze both directe...
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11/11/2021
Multi-agent Reinforcement Learning for Cooperative Lane Changing of Connected and Autonomous Vehicles in Mixed Traffic
Autonomous driving has attracted significant research interests in the p...
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11/10/2021
Towards Practical Evaluation of Android ICC Resolution Techniques
Inter-component communication (ICC) is a key mechanism in mobile apps, w...
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08/10/2021
Estimating a distribution function for discrete data subject to random truncation with an application to structured finance
The literature for estimating a distribution function from truncated dat...
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08/10/2021
On Procedural Adversarial Noise Attack And Defense
Deep Neural Networks (DNNs) are vulnerable to adversarial examples which...
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06/15/2021
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark
Artificial Intelligence (AI), along with the recent progress in biomedic...
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06/04/2021
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding
Automatic extraction of product attribute values is an important enablin...
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05/05/2021
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions
Many scientific and practical areas have shown increasing interest in re...
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05/05/2021
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience
The compliance of IoT platforms to quality is paramount to achieve users...
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04/23/2021
Regression Modeling for Recurrent Events Using R Package reReg
Recurrent event analyses have found a wide range of applications in biom...
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04/06/2021
PageRank centrality and algorithms for weighted, directed networks with applications to World Input-Output Tables
PageRank (PR) is a fundamental tool for assessing the relative importanc...
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03/29/2021
Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions
While object detection modules are essential functionalities for any aut...
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03/13/2021
Electric Vehicle Charging Scheduling in Green Logistics: Challenges, Approaches and Opportunities
Replacing a fossil fuel-powered car with an electric model can halve gre...
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03/04/2021
The Effects of the NBA COVID Bubble on the NBA Playoffs: A Case Study for Home-Court Advantage
The 2020 NBA playoffs were played inside of a bubble in Disney World bec...
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02/24/2021
Regional and Sectoral Structures and Their Dynamics of Chinese Economy: A Network Perspective from Multi-Regional Input-Output Tables
A multi-regional input-output table (MRIOT) containing the transactions ...
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02/09/2021
On the Minimax Spherical Designs
Distributing points on a (possibly high-dimensional) sphere with minimal...
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01/13/2021
Assortativity measures for weighted and directed networks
Assortativity measures the tendency of a vertex in a network being conne...
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12/08/2020
Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation
The optimal fingerprinting method for detection and attribution of clima...
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11/29/2020
Clustering US States by Time Series of COVID-19 New Case Counts with Non-negative Matrix Factorization
The spreading pattern of COVID-19 differ a lot across the US states unde...
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11/23/2020
Bayesian Nonparametric Estimation for Point Processes with Spatial Homogeneity: A Spatial Analysis of NBA Shot Locations
Basketball shot location data provide valuable summary information regar...
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10/24/2020
Learning Contextualized Knowledge Structures for Commonsense Reasoning
Recently, neural-symbolic architectures have achieved success on commons...
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09/05/2020
Suicide Risk Modeling with Uncertain Diagnostic Records
Motivated by the pressing need for suicide prevention through improving ...
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04/01/2020
Computational Performance of a Germline Variant Calling Pipeline for Next Generation Sequencing
With the booming of next generation sequencing technology and its implem...
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03/31/2020
Moving-Resting Process with Measurement Error in Animal Movement Modeling
Statistical modeling of animal movement is of critical importance. The c...
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03/23/2020
Heterogeneity Pursuit for Spatial Point Pattern with Application to Tree Locations: A Bayesian Semiparametric Recourse
Spatial point pattern data are routinely encountered. A flexible regress...
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11/05/2019
The generalization error of max-margin linear classifiers: High-dimensional asymptotics in the overparametrized regime
Modern machine learning models are often so complex that they achieve va...
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11/04/2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
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11/04/2019
Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
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09/02/2019
PrTransH: Embedding Probabilistic Medical Knowledge from Real World EMR Data
This paper proposes an algorithm named as PrTransH to learn embedding ve...
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08/15/2019
A Bayesian Joint Model for Spatial Point Processes with Application to Basketball Shot Chart
The success rate of a basketball shot may be higher at locations where a...
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07/20/2019
Bidding for Preferred Timing: An Auction Design for Electric Vehicle Charging Station Scheduling
This paper considers an electric vehicle charging scheduling setting whe...
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05/29/2019
Multivariate Distributionally Robust Convex Regression under Absolute Error Loss
This paper proposes a novel non-parametric multidimensional convex regre...
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02/20/2019
Learning Dual Retrieval Module for Semi-supervised Relation Extraction
Relation extraction is an important task in structuring content of text ...
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10/29/2018