Li Xiong

Affiliations:
  • Emory University, Atlanta, GA, USA
  • Georgia Institute of Technology, College of Computing, Atlanta, GA, USA (PhD 2005)


According to our database1, Li Xiong authored at least 185 papers between 2002 and 2021.

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Bibliography

2021
Visually aware recommendation with aesthetic features.
VLDB J., 2021

Skyline Diagram: Efficient Space Partitioning for Skyline Queries.
IEEE Trans. Knowl. Data Eng., 2021

Group-Based Skyline for Pareto Optimal Groups.
IEEE Trans. Knowl. Data Eng., 2021

Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
IEEE Trans. Knowl. Data Eng., 2021

Demonstration of Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Dealer: An End-to-End Model Marketplace with Differential Privacy.
Proc. VLDB Endow., 2021

Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn., 2021

Temporal Network Embedding via Tensor Factorization.
CoRR, 2021

Integer-arithmetic-only Certified Robustness for Quantized Neural Networks.
CoRR, 2021

SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling.
CoRR, 2021

Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks.
CoRR, 2021

RobustFed: A Truth Inference Approach for Robust Federated Learning.
CoRR, 2021

Federated Graph Classification over Non-IID Graphs.
CoRR, 2021

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data.
CoRR, 2021

CrowdTeacher: Robust Co-teaching with Noisy Answers & Sample-specific Perturbations for Tabular Data.
CoRR, 2021

An Analysis Of Protected Health Information Leakage In Deep-Learning Based De-Identification Algorithms.
CoRR, 2021

Communication Efficient Federated Generalized Tensor Factorization for Collaborative Health Data Analytics.
Proceedings of the WWW '21: The Web Conference 2021, 2021

CrowdTeacher: Robust Co-teaching with Noisy Answers and Sample-Specific Perturbations for Tabular Data.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Certified Robustness to Word Substitution Attack with Differential Privacy.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

PAM: Understanding Product Images in Cross Product Category Attribute Extraction.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Private Stochastic Non-convex Optimization with Improved Utility Rates.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transparent Contribution Evaluation for Secure Federated Learning on Blockchain.
Proceedings of the 37th IEEE International Conference on Data Engineering Workshops, 2021

Eclipse: Generalizing kNN and Skyline.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

REACT: Real-Time Contact Tracing and Risk Monitoring via Privacy-Enhanced Mobile Tracking.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Orthogonal Over-Parameterized Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fraud Buster: Tracking IRSF Using Blockchain While Protecting Business Confidentiality.
Proceedings of the 11th Conference on Innovative Data Systems Research, 2021

Learning with Hyperspherical Uniformity.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Efficient Contour Computation of Group-Based Skyline.
IEEE Trans. Knowl. Data Eng., 2020

REACT: real-time contact tracing and risk monitoring using privacy-enhanced mobile tracking.
ACM SIGSPATIAL Special, 2020

The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report.
ACM SIGSPATIAL Special, 2020

PANDA: Policy-aware Location Privacy for Epidemic Surveillance.
Proc. VLDB Endow., 2020

Generating sequential electronic health records using dual adversarial autoencoder.
J. Am. Medical Informatics Assoc., 2020

Customizable and Rigorous Location Privacy through Policy Graph.
CoRR, 2020

Orthogonal Over-Parameterized Training.
CoRR, 2020

PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility.
Proceedings of the 29th USENIX Security Symposium, 2020

EdgeInfer: Robust Truth Inference under Data Poisoning Attack.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

RADAR: Recurrent Autoencoder Based Detector for Adversarial Examples on Temporal EHR.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Spatio-Temporal Tensor Sketching via Adaptive Sampling.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Providing Input-Discriminative Protection for Local Differential Privacy.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

PGLP: Customizable and Rigorous Location Privacy Through Policy Graph.
Proceedings of the Computer Security - ESORICS 2020, 2020

Crowdsourcing Under Data Poisoning Attacks: A Comparative Study.
Proceedings of the Data and Applications Security and Privacy XXXIV, 2020

Regularizing Neural Networks via Minimizing Hyperspherical Energy.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Broadening Differential Privacy for Deep Learning Against Model Inversion Attacks.
Proceedings of the IEEE International Conference on Big Data, 2020

Towards Training Robust Private Aggregation of Teacher Ensembles Under Noisy Labels.
Proceedings of the IEEE International Conference on Big Data, 2020

Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
Secure and Efficient Skyline Queries on Encrypted Data.
IEEE Trans. Knowl. Data Eng., 2019

Errata on "Quantifying Differential Privacy in Continuous Data Release under Temporal Correlations".
IEEE Trans. Knowl. Data Eng., 2019

Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations.
IEEE Trans. Knowl. Data Eng., 2019

FastGeo: Efficient Geometric Range Queries on Encrypted Spatial Data.
IEEE Trans. Dependable Secur. Comput., 2019

The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018) Seattle, Washington, USA November 6-9, 2018: conference report.
ACM SIGSPATIAL Special, 2019

PriSTE: Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services.
Proc. VLDB Endow., 2019

Advances and Open Problems in Federated Learning.
CoRR, 2019

Effcient logging and querying for Blockchain-based cross-site genomic dataset access audit.
CoRR, 2019

Compressive Hyperspherical Energy Minimization.
CoRR, 2019

Group Nearest Compact POI Set Queries in Road Networks.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019

PriSTE: From Location Privacy to Spatiotemporal Event Privacy.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Supporting Both Range Queries and Frequency Estimation with Local Differential Privacy.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

SkyRec: Finding Pareto Optimal Groups.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Privacy and Security Issues in DDDAS Systems.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Selecting Optimal Subset to Release Under Differentially Private M-Estimators from Hybrid Datasets.
IEEE Trans. Knowl. Data Eng., 2018

Differentially Private Distributed Online Learning.
IEEE Trans. Knowl. Data Eng., 2018

A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining.
IEEE Trans. Knowl. Data Eng., 2018

ConTPL: Controlling Temporal Privacy Leakage in Differentially Private Continuous Data Release.
Proc. VLDB Endow., 2018

Group-based keyword-aware route querying in road networks.
Inf. Sci., 2018

Optimal group route query: Finding itinerary for group of users in spatial databases.
GeoInformatica, 2018

Aesthetic-based Clothing Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Privacy Preserving Reverse k-Nearest Neighbor Queries.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

Privacy-Preserving Online Task Assignment in Spatial Crowdsourcing with Untrusted Server.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Skyline Diagram: Finding the Voronoi Counterpart for Skyline Queries.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

2017
A Comprehensive Comparison of Multiparty Secure Additions with Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2017

LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model.
Proc. VLDB Endow., 2017

Truth Discovery for SpatioTemporal Events from Crowdsourced Data.
Proc. VLDB Endow., 2017

Eclipse: Practicability Beyond 1NN and Skyline.
CoRR, 2017

Multi-user Itinerary Planning for Optimal Group Preference.
Proceedings of the Advances in Spatial and Temporal Databases, 2017

Partitioning-Based Mechanisms Under Personalized Differential Privacy.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Secure Skyline Queries on Cloud Platform.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Quantifying Differential Privacy under Temporal Correlations.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

CP-ORTHO: An Orthogonal Tensor Factorization Framework for Spatio-Temporal Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

Mutually Private Location Proximity Detection with Access Control.
Proceedings of the Data and Applications Security and Privacy XXXI, 2017

Fast Algorithms for Pareto Optimal Group-based Skyline.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Differentially Private Frequent Sequence Mining.
IEEE Trans. Knowl. Data Eng., 2016

EIC Editorial.
IEEE Trans. Knowl. Data Eng., 2016

On Differentially Private Longest Increasing Subsequence Computation in Data Stream.
Trans. Data Priv., 2016

DPHMM: Customizable Data Release with Differential Privacy via Hidden Markov Model.
CoRR, 2016

Privacy-Preserving IR 2016: Differential Privacy, Search, and Social Media.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

D-Grid: An In-Memory Dual Space Grid Index for Moving Object Databases.
Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Enabling mutually private location proximity services in smart cities: A comparative assessment.
Proceedings of the IEEE International Smart Cities Conference, 2016

Differentially private frequent subgraph mining.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

A Markov chain based pruning method for predictive range queries.
Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31, 2016

Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2015
Foreword for the special issue of selected papers from the 7th EDBT/ICDT Workshop on Privacy and Anonymity in Information Society (PAIS 2014).
Trans. Data Priv., 2015

Participant Privacy in Mobile Crowd Sensing Task Management: A Survey of Methods and Challenges.
SIGMOD Rec., 2015

Finding Pareto Optimal Groups: Group-based Skyline.
Proc. VLDB Endow., 2015

WebDISCO: a web service for distributed cox model learning without patient-level data sharing.
J. Am. Medical Informatics Assoc., 2015

Secure Similarity Queries: Enabling Precision Medicine with Privacy.
Proceedings of the Biomedical Data Management and Graph Online Querying, 2015

Speed Partitioning for Indexing Moving Objects.
Proceedings of the Advances in Spatial and Temporal Databases, 2015

Differentially private frequent sequence mining via sampling-based candidate pruning.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Security and Privacy Dimensions in Next Generation DDDAS/Infosymbiotic Systems: A Position Paper.
Proceedings of the International Conference on Computational Science, 2015

VPIndexer: velocity-based partitioning for indexing moving objects.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Privacy-preserving inference of social relationships from location data: a vision paper.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

STAC: spatial task assignment for crowd sensing with cloaked participant locations.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Private Computation of the Longest Increasing Subsequence in Data Streams.
Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), 2015

Harnessing personal data from Internet of Things: Privacy enhancing dynamic information monitoring.
Proceedings of the 2015 International Conference on Collaboration Technologies and Systems, 2015

Database Fragmentation with Confidentiality Constraints: A Graph Search Approach.
Proceedings of the 5th ACM Conference on Data and Application Security and Privacy, 2015

Finding Probabilistic k-Skyline Sets on Uncertain Data.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Differentially Private Histogram Publication for Dynamic Datasets: an Adaptive Sampling Approach.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Protecting Locations with Differential Privacy under Temporal Correlations.
Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security, 2015

Differentially Private Histogram and Synthetic Data Publication.
Proceedings of the Medical Data Privacy Handbook, 2015

A Review of Privacy Preserving Mechanisms for Record Linkage.
Proceedings of the Medical Data Privacy Handbook, 2015

2014
\(m\) -Privacy for Collaborative Data Publishing.
IEEE Trans. Knowl. Data Eng., 2014

An Adaptive Approach to Real-Time Aggregate Monitoring With Differential Privacy.
IEEE Trans. Knowl. Data Eng., 2014

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning.
Trans. Data Priv., 2014

Front Matter.
Proc. VLDB Endow., 2014

DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing.
Proc. VLDB Endow., 2014

Informatics methods in medical privacy.
J. Biomed. Informatics, 2014

Faster output-sensitive skyline computation algorithm.
Inf. Process. Lett., 2014

Dynamic Differential Privacy for Location based Applications.
CoRR, 2014

Monitoring web browsing behavior with differential privacy.
Proceedings of the 23rd International World Wide Web Conference, 2014

Privacy Preserving Publication of Locations Based on Delaunay Triangulation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Spatial Task Assignment for Crowd Sensing with Cloaked Locations.
Proceedings of the IEEE 15th International Conference on Mobile Data Management, 2014

A Quantitative Approach for Evaluating the Utility of a Differentially Private Behavioral Science Dataset.
Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

Dynamic Data Driven Crowd Sensing Task Assignment.
Proceedings of the International Conference on Computational Science, 2014

Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

Towards Secure Cloud Database with Fine-Grained Access Control.
Proceedings of the Data and Applications Security and Privacy XXVIII, 2014

2013
Privacy Preserving Distributed DBSCAN Clustering.
Trans. Data Priv., 2013

Semantic Security: Privacy Definitions Revisited.
Trans. Data Priv., 2013

SHARE: system design and case studies for statistical health information release.
J. Am. Medical Informatics Assoc., 2013

FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

LinkIT: privacy preserving record linkage and integration via transformations.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

Adaptive Differentially Private Data Release for Data Sharing and Data Mining.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Differentially Private Anomaly Detection with a Case Study on Epidemic Outbreak Detection.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Predict: Privacy and Security Enhancing Dynamic Information Collection and Monitoring.
Proceedings of the International Conference on Computational Science, 2013

A privacy framework: indistinguishable privacy.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Secure multiparty aggregation with differential privacy: a comparative study.
Proceedings of the Joint 2013 EDBT/ICDT Conferences, 2013

Differentially Private Multi-dimensional Time Series Release for Traffic Monitoring.
Proceedings of the Data and Applications Security and Privacy XXVII, 2013

A two-phase algorithm for mining sequential patterns with differential privacy.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Service-Oriented Architecture for High-Dimensional Private Data Mashup.
IEEE Trans. Serv. Comput., 2012

Privacy Preserving Record Linkage via grams Projections
CoRR, 2012

Online query answering with differential privacy: a utility-driven approach using Bayesian inference
CoRR, 2012

DPCube: Differentially Private Histogram Release through Multidimensional Partitioning
CoRR, 2012

Adaptively Sharing Time-Series with Differential Privacy
CoRR, 2012

Detection of Distributed Attacks in Hybrid & Public Cloud Networks.
Proceedings of the Eighth International Conference on Semantics, Knowledge and Grids, 2012

IFC soft: visual comparison of flow cytometry data using self-organizing maps.
Proceedings of the ACM International Health Informatics Symposium, 2012

DPCube: Releasing Differentially Private Data Cubes for Health Information.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

DObjects+: Enabling Privacy-Preserving Data Federation Services.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

A Randomized Response Model for Privacy-Preserving Data Dissemination.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Real-time aggregate monitoring with differential privacy.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Frequent grams based embedding for privacy preserving record linkage.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Publishing Set-Valued Data via Differential Privacy.
Proc. VLDB Endow., 2011

Information Sharing across Private Databases: Secure Union Revisited.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

2010
Automatic Invocation Linking for Collaborative Web-Based Corpora.
Proceedings of the Emergent Web Intelligence: Advanced Information Retrieval, 2010

Anonymizing user profiles for personalized web search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Differentially Private Data Release through Multidimensional Partitioning.
Proceedings of the Secure Data Management, 7th VLDB Workshop, SDM 2010, Singapore, 2010

An evaluation of feature sets and sampling techniques for de-identification of medical records.
Proceedings of the ACM International Health Informatics Symposium, 2010

Anonymizing data with quasi-sensitive attribute values.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
NNexus: An Automatic Linker for Collaborative Web-Based Corpora.
IEEE Trans. Knowl. Data Eng., 2009

An integrated framework for de-identifying unstructured medical data.
Data Knowl. Eng., 2009

HIDE: heterogeneous information DE-identification.
Proceedings of the EDBT 2009, 2009

Dynamic Query Processing for P2P Data Services in the Cloud.
Proceedings of the Database and Expert Systems Applications, 20th International Conference, 2009

Distributed Anonymization: Achieving Privacy for Both Data Subjects and Data Providers.
Proceedings of the Data and Applications Security XXIII, 2009

Automatic link detection: a sequence labeling approach.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Report on international workshop on privacy and anonymity in the information society (PAIS 2008).
SIGMOD Rec., 2008

DObjects: enabling distributed data services for metacomputing platforms.
Proc. VLDB Endow., 2008

Frequent pattern mining for kernel trace data.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Adapting Commit Protocols for Large-Scale and Dynamic Distributed Applications.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008

DObjects: Enabling Distributed Data Services for Metacomputing Platforms.
Proceedings of the Computational Science, 2008

Towards privacy-preserving integration of distributed heterogeneous data.
Proceedings of the Second Ph.D. Workshop in CIKM, 2008

Privacy-preserving data publishing for horizontally partitioned databases.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

HIDE: An Integrated System for Health Information DE-identification.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008

Comparing and Clustering Flow Cytometry Data.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

FRIL: A Tool for Comparative Record Linkage.
Proceedings of the AMIA 2008, 2008

2007
Preserving data privacy in outsourcing data aggregation services.
ACM Trans. Internet Techn., 2007

Report on ACM Workshop on Health Information and Knowledge Management (HIKM 2006).
SIGMOD Rec., 2007

Mining multiple private databases using a kNN classifier.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Countering feedback sparsity and manipulation in reputation systems.
Proceedings of the 3rd International Conference on Collaborative Computing: Networking, 2007

2006
NNexus: Towards an Automatic Linker for a Massively-Distributed Collaborative Corpus.
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

k nearest neighbor classification across multiple private databases.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
TrustGuard: countering vulnerabilities in reputation management for decentralized overlay networks.
Proceedings of the 14th international conference on World Wide Web, 2005

ExchangeGuard: A Distributed Protocol for Electronic Fair-Exchange.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Topk Queries across Multiple Private Databases.
Proceedings of the 25th International Conference on Distributed Computing Systems (ICDCS 2005), 2005

2004
PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities.
IEEE Trans. Knowl. Data Eng., 2004

2003
A reputation-based trust model for peer-to-peer ecommerce communities.
Proceedings of the Proceedings 4th ACM Conference on Electronic Commerce (EC-2003), 2003

2002
Querying Multiple Bioinformatics Data Sources: Can Semantic Web Research Help?
SIGMOD Rec., 2002


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