b'Jun Yan'

research

∙ 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...

0 Yelie Yuan, et al. ∙

research

∙ 07/31/2023

Virtual Prompt Injection for Instruction-Tuned Large Language Models

We present Virtual Prompt Injection (VPI) for instruction-tuned Large La...

0 Jun Yan, et al. ∙

research

∙ 07/20/2023

Instruction-following Evaluation through Verbalizer Manipulation

While instruction-tuned models have shown remarkable success in various ...

0 Shiyang Li, et al. ∙

research

∙ 07/17/2023

AlpaGasus: Training A Better Alpaca with Fewer Data

Large language models (LLMs) obtain instruction-following capability thr...

0 Lichang Chen, et al. ∙

research

∙ 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...

0 Jianpeng Liao, et al. ∙

research

∙ 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...

0 Dongrak Choi, et al. ∙

research

∙ 01/31/2023

Generating General Preferential Attachment Networks with R Package wdnet

Preferential attachment (PA) network models have a wide range of applica...

0 Yelie Yuan, et al. ∙

research

∙ 12/13/2022

Transfer learning with quantile regression

Quantile regression is increasingly encountered in modern big data appli...

0 Jun Jin, et al. ∙

research

∙ 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...

0 Brighter Agyemang, et al. ∙

research

∙ 10/25/2022

Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network

The information bottleneck (IB) method is a feasible defense solution ag...

0 Huan Hua, et al. ∙

research

∙ 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...

6 Zeyu Fu, et al. ∙

research

∙ 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...

0 Lucas da Cunha Godoy, et al. ∙

research

∙ 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...

0 Xin Zhang, et al. ∙

research

∙ 05/25/2022

Textual Backdoor Attacks with Iterative Trigger Injection

The backdoor attack has become an emerging threat for Natural Language P...

0 Jun Yan, et al. ∙

research

∙ 02/16/2022

Knowledge Management for Cloud Computing Field

Migration legacy systems to cloud platforms is a knowledge intensive pro...

0 Mahdi Fahmideh, et al. ∙

research

∙ 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...

11 Jianpeng Liao, et al. ∙

research

∙ 01/10/2022

An Efficient Algorithm for Generating Directed Networks with Predetermined Assortativity Measures

Assortativity coefficients are important metrics to analyze both directe...

0 Tiandong Wang, et al. ∙

research

∙ 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...

9 Wei Zhou, et al. ∙

research

∙ 11/10/2021

Towards Practical Evaluation of Android ICC Resolution Techniques

Inter-component communication (ICC) is a key mechanism in mobile apps, w...

0 Jiwei Yan, et al. ∙

research

∙ 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...

0 Jackson P. Lautier, et al. ∙

research

∙ 08/10/2021

On Procedural Adversarial Noise Attack And Defense

Deep Neural Networks (DNNs) are vulnerable to adversarial examples which...

1 Jun Yan, et al. ∙

research

∙ 06/15/2021

CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

Artificial Intelligence (AI), along with the recent progress in biomedic...

0 Ningyu Zhang, et al. ∙

research

∙ 06/04/2021

AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding

Automatic extraction of product attribute values is an important enablin...

0 Jun Yan, et al. ∙

research

∙ 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...

0 Mahdi Fahmideh, et al. ∙

research

∙ 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...

0 Mahdi Fahmideh, et al. ∙

research

∙ 04/23/2021

Regression Modeling for Recurrent Events Using R Package reReg

Recurrent event analyses have found a wide range of applications in biom...

0 Sy Han Chiou, et al. ∙

research

∙ 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...

0 Panpan Zhang, et al. ∙

research

∙ 03/29/2021

Monitoring Object Detection Abnormalities via Data-Label and Post-Algorithm Abstractions

While object detection modules are essential functionalities for any aut...

0 Yuhang Chen, et al. ∙

research

∙ 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...

0 Luyang Hou, et al. ∙

research

∙ 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...

0 Michael Price, et al. ∙

research

∙ 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 ...

0 PetsTime, et al. ∙

research

∙ 02/09/2021

On the Minimax Spherical Designs

Distributing points on a (possibly high-dimensional) sphere with minimal...

0 Weibo Fu, et al. ∙

research

∙ 01/13/2021

Assortativity measures for weighted and directed networks

Assortativity measures the tendency of a vertex in a network being conne...

0 Yelie Yuan, et al. ∙

research

∙ 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...

0 Yan Li, et al. ∙

research

∙ 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...

0 Jianmin Chen, et al. ∙

research

∙ 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...

0 Fan Yin, et al. ∙

research

∙ 10/24/2020

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Recently, neural-symbolic architectures have achieved success on commons...

0 Jun Yan, et al. ∙

research

∙ 09/05/2020

Suicide Risk Modeling with Uncertain Diagnostic Records

Motivated by the pressing need for suicide prevention through improving ...

19 Wenjie Wang, et al. ∙

research

∙ 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...

0 Jie Liu, et al. ∙

research

∙ 03/31/2020

Moving-Resting Process with Measurement Error in Animal Movement Modeling

Statistical modeling of animal movement is of critical importance. The c...

0 Chaoran Hu, et al. ∙

research

∙ 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...

0 Jieying Jiao, et al. ∙

research

∙ 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...

34 Andrea Montanari, et al. ∙

research

∙ 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...

0 Ziqi Wang, et al. ∙

research

∙ 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...

0 Ziqi Wang, et al. ∙

research

∙ 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...

0 Linfeng Li, et al. ∙

research

∙ 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...

0 Jieying Jiao, et al. ∙

research

∙ 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...

0 Luyang Hou, et al. ∙

research

∙ 05/29/2019

Multivariate Distributionally Robust Convex Regression under Absolute Error Loss

This paper proposes a novel non-parametric multidimensional convex regre...

0 Jose Blanchet, et al. ∙

research

∙ 02/20/2019

Learning Dual Retrieval Module for Semi-supervised Relation Extraction

Relation extraction is an important task in structuring content of text ...

0 Hongtao Lin, et al. ∙

research

∙ 10/29/2018

Language Modeling with Sparse Product of Sememe Experts

Most language modeling methods rely on large-scale data to statistically...

0 Yihong Gu, et al. ∙

Jun Yan

Featured Co-authors