Xiaowei Xu

Orcid: 0000-0003-2836-5944

Affiliations:
  • University of Arkansas at Little Rock, Department of Information Science, Little Rock, AR, USA
  • University of Arkansas, Department of Mathematics and Statistics, Fayetteville, AR, USA
  • Siemens AG, Information and Communication Corporate Technology, Munich, Germany
  • LMU München, Munich, Germany (PhD 1998)


According to our database1, Xiaowei Xu authored at least 87 papers between 1995 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Evolving Metric Learning for Incremental and Decremental Features.
IEEE Trans. Circuits Syst. Video Technol., 2022

DeepCausality: A general AI-powered causal inference framework for free text: A case study of LiverTox.
Frontiers Artif. Intell., 2022

EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
Weakly-Supervised Cross-Domain Adaptation for Endoscopic Lesions Segmentation.
IEEE Trans. Circuits Syst. Video Technol., 2021

Correction to: MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion.
Multim. Tools Appl., 2021

MRI enhancement based on visual-attention by adaptive contrast adjustment and image fusion.
Multim. Tools Appl., 2021

An effective framework for semistructured document classification via hierarchical attention model.
Int. J. Intell. Syst., 2021

InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance.
Frontiers Artif. Intell., 2021

2020
DLI-IT: a deep learning approach to drug label identification through image and text embedding.
BMC Medical Informatics Decis. Mak., 2020

ColluEagle: collusive review spammer detection using Markov random fields.
Data Min. Knowl. Discov., 2020

Evolving Metric Learning for Incremental and Decremental Features.
CoRR, 2020

Text Embeddings for Retrieval from a Large Knowledge Base.
Proceedings of the Research Challenges in Information Science, 2020

CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2020, 2020

What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Joint Household Characteristic Prediction via Smart Meter Data.
IEEE Trans. Smart Grid, 2019

Lifelong Metric Learning.
IEEE Trans. Cybern., 2019

Anomaly detection via adaptive greedy model.
Neurocomputing, 2019

MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering.
CoRR, 2019

A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases.
CoRR, 2019

A hybrid temporal association rules mining method for traffic congestion prediction.
Comput. Ind. Eng., 2019

Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Graph-based review spammer group detection.
Knowl. Inf. Syst., 2018

GSLDA: LDA-based group spamming detection in product reviews.
Appl. Intell., 2018

Online Low-Rank Metric Learning via Parallel Coordinate Descent Method.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Clustered Lifelong Learning Via Representative Task Selection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Active Lifelong Learning With "Watchdog".
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN.
ACM Trans. Database Syst., 2017

Lifelong Metric Learning.
CoRR, 2017

AnySCAN: An Efficient Anytime Framework with Active Learning for Large-Scale Network Clustering.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Discovering Multiple Social Ties for Characterization of Individuals in Online Social Networks.
Proceedings of the Third European Network Intelligence Conference, 2016

2014
Mining hidden knowledge for drug safety assessment: topic modeling of LiverTox as a case study.
BMC Bioinform., 2014

A phenome-guided drug repositioning through a latent variable model.
BMC Bioinform., 2014

2013
A systems approach for analysis of high content screening assay data with topic modeling.
BMC Bioinform., 2013

Fast Information Retrieval and Social Network Mining via Cosine Similarity Upper Bound.
Proceedings of the International Conference on Social Computing, SocialCom 2013, 2013

A study on Twitter user-follower network: a network based analysis.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

PSCAN: A Parallel Structural Clustering Algorithm for Big Networks in MapReduce.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

h-MapReduce: A Framework for Workload Balancing in MapReduce.
Proceedings of the 27th IEEE International Conference on Advanced Information Networking and Applications, 2013

2012
A study of homophily on social media.
World Wide Web, 2012

Investigating drug repositioning opportunities in FDA drug labels through topic modeling.
BMC Bioinform., 2012

NMiner: A System for Finding Related Entities by Mining a Bimodal Network.
Proceedings of the Information Retrieval Technology, 2012

2011
Social computational systems.
J. Comput. Sci., 2011

Constructing a robust protein-protein interaction network by integrating multiple public databases.
BMC Bioinform., 2011

Mining FDA drug labels using an unsupervised learning technique - topic modeling.
BMC Bioinform., 2011

UALR at TREC 2011 Entity Track.
Proceedings of The Twentieth Text REtrieval Conference, 2011

Mining fetal magnetocardiogram data for high-risk fetuses.
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

2010
Investigating Homophily in Online Social Networks.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Does Similarity Breed Connection? - An Investigation in Blogcatalog and Last.fm Communities.
Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010

2009
AHSCAN: Agglomerative Hierarchical Structural Clustering Algorithm for Networks.
Proceedings of the 2009 International Conference on Advances in Social Network Analysis and Mining, 2009

2008
A structural approach for finding functional modules from large biological networks.
BMC Bioinform., 2008

On Structural Analysis of Large Networks.
Proceedings of the 41st Hawaii International International Conference on Systems Science (HICSS-41 2008), 2008

Supporting Keyword Queries on Structured Databases with Limited Search Interfaces.
Proceedings of the Database Systems for Advanced Applications, 2008

2007
Automatic delineation of malignancy in histopathological head and neck slides.
BMC Bioinform., 2007

SCAN: a structural clustering algorithm for networks.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

A Divisive Hierarchical Structural Clustering Algorithm for Networks.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Novel Similarity-Based Modularity Function for Graph Partitioning.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

A Machine Learning Approach for Identification of Head and Neck Squamous Cell Carcinoma.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
UALR at TREC: Blog Track.
Proceedings of the Fifteenth Text REtrieval Conference, 2006

Head and Neck Cancer Detection in Histopathological Slides.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Mining concept associations for knowledge discovery in large textual databases.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

2004
Probabilistic Memory-Based Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2004

2003
Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*.
Knowl. Inf. Syst., 2003

Representative Sampling for Text Classification Using Support Vector Machines.
Proceedings of the Advances in Information Retrieval, 2003

A Hybrid Relevance-Feedback Approach to Text Retrieval.
Proceedings of the Advances in Information Retrieval, 2003

2002
Correlation-Based Web Document Clustering for Adaptive Web Interface Design.
Knowl. Inf. Syst., 2002

Instance Selection Techniques for Memory-based Collaborative Filtering.
Proceedings of the Second SIAM International Conference on Data Mining, 2002

Frequent term-based text clustering.
Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002

Removing redundancy and inconsistency in memory-based collaborative filtering.
Proceedings of the 2002 ACM CIKM International Conference on Information and Knowledge Management, 2002

2001
Correlation-based Document Clustering using Web Logs.
Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address).
Proceedings of the 12th International Workshop on Database and Expert Systems Applications (DEXA 2001), 2001

Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering.
Proceedings of the 2001 ACM CIKM International Conference on Information and Knowledge Management, 2001

2000
Optimal Multidimensional Query Processing Using Tree Striping.
Proceedings of the Data Warehousing and Knowledge Discovery, 2000

1999
Efficient clustering for knowledge discovery in spatial databases.
PhD thesis, 1999

A Fast Parallel Clustering Algorithm for Large Spatial Databases.
Data Min. Knowl. Discov., 1999

Clustering-regression-ordering steps for knowledge discovery in spatial databases.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Clustering for Mining in Large Spatial Databases.
Künstliche Intell., 1998

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications.
Data Min. Knowl. Discov., 1998

Incremental Clustering for Mining in a Data Warehousing Environment.
Proceedings of the VLDB'98, 1998

A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases.
Proceedings of the Fourteenth International Conference on Data Engineering, 1998

1997
Density-Connected Sets and their Application for Trend Detection in Spatial Databases.
Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

1996
A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), 1996

1995
Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification.
Proceedings of the Advances in Spatial Databases, 1995

A Database Interface for Clustering in Large Spatial Databases.
Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), 1995

Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank.
Proceedings of the Datenbanksysteme in Büro, 1995


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