Nguyen Quoc Viet Hung

Orcid: 0000-0002-9687-1315

According to our database1, Nguyen Quoc Viet Hung authored at least 199 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Explicit Knowledge Graph Reasoning for Conversational Recommendation.
ACM Trans. Intell. Syst. Technol., August, 2024

Self-supervised air quality estimation with graph neural network assistance and attention enhancement.
Neural Comput. Appl., July, 2024

Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures.
ACM Trans. Inf. Syst., May, 2024

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2024

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol., February, 2024

TinyAD: Memory-Efficient Anomaly Detection for Time-Series Data in Industrial IoT.
IEEE Trans. Ind. Informatics, January, 2024

Graph neural networks with deep mutual learning for designing multi-modal recommendation systems.
Inf. Sci., January, 2024

Portable graph-based rumour detection against multi-modal heterophily.
Knowl. Based Syst., 2024

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.
Inf. Sci., 2024

FELLAS: Enhancing Federated Sequential Recommendation with LLM as External Services.
CoRR, 2024

LLM-Powered Text Simulation Attack Against ID-Free Recommender Systems.
CoRR, 2024

Multi-turn Response Selection with Commonsense-enhanced Language Models.
CoRR, 2024

Heterogeneous Hypergraph Embedding for Recommendation Systems.
CoRR, 2024

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024

PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System.
CoRR, 2024

Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition.
CoRR, 2024

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.
CoRR, 2024

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.
CoRR, 2024

Robust Federated Contrastive Recommender System against Model Poisoning Attack.
CoRR, 2024

Heterogeneous decentralised machine unlearning with seed model distillation.
CAAI Trans. Intell. Technol., 2024

Physical Trajectory Inference Attack and Defense in Decentralized POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Prompt-enhanced Federated Content Representation Learning for Cross-domain Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Budgeted Embedding Table For Recommender Systems.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.
Proceedings of the International Joint Conference on Neural Networks, 2024

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.
Proceedings of the International Joint Conference on Neural Networks, 2024

Hide Your Model: A Parameter Transmission-free Federated Recommender System.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Condensation for Inductive Node Representation Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Scalable Dynamic Embedding Size Search for Streaming Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

Efficient On-Device Session-Based Recommendation.
ACM Trans. Inf. Syst., October, 2023

Scalable maximal subgraph mining with backbone-preserving graph convolutions.
Inf. Sci., October, 2023

Time-Aware Dynamic Graph Embedding for Asynchronous Structural Evolution.
IEEE Trans. Knowl. Data Eng., September, 2023

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.
IEEE Trans. Knowl. Data Eng., May, 2023

Example-based explanations for streaming fraud detection on graphs.
Inf. Sci., April, 2023

Detecting rumours with latency guarantees using massive streaming data.
VLDB J., March, 2023

Validating functional redundancy with mixed generative adversarial networks.
Knowl. Based Syst., March, 2023

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.
ACM Trans. Inf. Syst., 2023

Decentralized Collaborative Learning Framework for Next POI Recommendation.
ACM Trans. Inf. Syst., 2023

ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences.
ACM Trans. Inf. Syst., 2023

Network Alignment With Holistic Embeddings.
IEEE Trans. Knowl. Data Eng., 2023

Deep MinCut: Learning Node Embeddings by Detecting Communities.
Pattern Recognit., 2023

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment.
Int. J. Intell. Syst., 2023

Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion.
CoRR, 2023

Heterogeneous Decentralized Machine Unlearning with Seed Model Distillation.
CoRR, 2023

Do as I can, not as I get: Topology-aware multi-hop reasoning on multi-modal knowledge graphs.
CoRR, 2023

Imbalanced Node Classification Beyond Homophilic Assumption.
CoRR, 2023

Joint Semantic and Structural Representation Learning for Enhancing User Preference Modelling.
CoRR, 2023

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion.
CoRR, 2023

On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks.
CoRR, 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Semi-decentralized Federated Ego Graph Learning for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

DREAM: Adaptive Reinforcement Learning based on Attention Mechanism for Temporal Knowledge Graph Reasoning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Towards Few-Shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-Guided Neural Process Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

10X Faster Subgraph Matching: Dual Matching Networks with Interleaved Diffusion Attention.
Proceedings of the International Joint Conference on Neural Networks, 2023

Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient and Effective Multi-Modal Queries through Heterogeneous Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Solving Complex Sequential Decision-Making Problems by Deep Reinforcement Learning with Heuristic Rules.
Proceedings of the Computational Science - ICCS 2023, 2023

Semantic-aware Node Synthesis for Imbalanced Heterogeneous Information Networks.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search.
VLDB J., 2022

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Personalized On-Device E-Health Analytics With Decentralized Block Coordinate Descent.
IEEE J. Biomed. Health Informatics, 2022

Nature vs. Nurture: Feature vs. Structure for Graph Neural Networks.
Pattern Recognit. Lett., 2022

Incremental Density-Based Clustering on Multicore Processors.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Model-agnostic and diverse explanations for streaming rumour graphs.
Knowl. Based Syst., 2022

Preface - Special Issue on Misinformation on the Web.
Inf. Syst., 2022

Real-time wildfire detection with semantic explanations.
Expert Syst. Appl., 2022

Deep learning for deepfakes creation and detection: A survey.
Comput. Vis. Image Underst., 2022

Efficient Graph Neural Network Inference at Large Scale.
CoRR, 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
CoRR, 2022

A Survey of Machine Unlearning.
CoRR, 2022

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Thinking inside The Box: Learning Hypercube Representations for Group Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Lightweight Branching Self-distillation: Be Your Own Teacher.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

CIRCLE: continual repair across programming languages.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

exRumourLens: Auditable Rumour Detection with Multi-View Explanations.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Network Alignment with Holistic Embeddings (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Joint Multilingual Knowledge Graph Completion and Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Benchmarking Evaluation of Graph Neural Networks on Traffic Speed Prediction.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
Scalable Robust Graph Embedding with Spark.
Proc. VLDB Endow., 2021

Efficient Streaming Subgraph Isomorphism with Graph Neural Networks.
Proc. VLDB Endow., 2021

JUDO: Just-in-time rumour detection in streaming social platforms.
Inf. Sci., 2021

Structural representation learning for network alignment with self-supervised anchor links.
Expert Syst. Appl., 2021

Link-Intensive Alignment for Incomplete Knowledge Graphs.
CoRR, 2021

Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR, 2021

A dual benchmarking study of facial forgery and facial forensics.
CoRR, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR, 2021

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Heterogeneous Hypergraph Embedding for Graph Classification.
Proceedings of the WSDM '21, 2021

EIRES: Efficient Integration of Remote Data in Event Stream Processing.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Socially-Aware Self-Supervised Tri-Training for Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

SpeakNav: A Voice-based Navigation System via Route Description Language Understanding.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Are Rumors Always False?: Understanding Rumors Across Domains, Queries, and Ratings.
Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

Realtime Bushfire Detection with Spatial-based Complex Event Processing.
Proceedings of the 15th International Conference on Advanced Computing and Applications, 2021

2020
Misinformation-oriented expert finding in social networks.
World Wide Web, 2020

Time-aspect-sentiment Recommendation Models Based on Novel Similarity Measure Methods.
ACM Trans. Web, 2020

CRSAL: Conversational Recommender Systems with Adversarial Learning.
ACM Trans. Inf. Syst., 2020

Answering Why-Not Group Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng., 2020

Searching Activity Trajectories by Exemplar.
Trans. Data Sci., 2020

Group-Based Recurrent Neural Networks for POI Recommendation.
Trans. Data Sci., 2020

PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search.
Proc. VLDB Endow., 2020

F-Mapper: A Fuzzy Mapper clustering algorithm.
Knowl. Based Syst., 2020

A comparative study on network alignment techniques.
Expert Syst. Appl., 2020

Multi-Scale Bushfire Detection From Multi-Modal Streams of Remote Sensing Data.
IEEE Access, 2020

Next Point-of-Interest Recommendation on Resource-Constrained Mobile Devices.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FactCatch: Incremental Pay-as-You-Go Fact Checking with Minimal User Effort.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Online Trichromatic Pickup and Delivery Scheduling in Spatial Crowdsourcing.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Load Shedding for Complex Event Processing: Input-based and State-based Techniques.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Graph Embeddings for One-pass Processing of Heterogeneous Queries.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Sequence-Aware Factorization Machines for Temporal Predictive Analytics.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Searching activity trajectory with keywords.
World Wide Web, 2019

Spatiotemporal Representation Learning for Translation-Based POI Recommendation.
ACM Trans. Inf. Syst., 2019

Efficient User Guidance for Validating Participatory Sensing Data.
ACM Trans. Intell. Syst. Technol., 2019

User Guidance for Efficient Fact Checking.
Proc. VLDB Endow., 2019

From Anomaly Detection to Rumour Detection using Data Streams of Social Platforms.
Proc. VLDB Endow., 2019

Multi-label classification via label correlation and first order feature dependance in a data stream.
Pattern Recognit., 2019

Handling probabilistic integrity constraints in pay-as-you-go reconciliation of data models.
Inf. Syst., 2019

Maximal fusion of facts on the web with credibility guarantee.
Inf. Fusion, 2019

A framework for parallel map-matching at scale using Spark.
Distributed Parallel Databases, 2019

On Node Features for Graph Neural Networks.
CoRR, 2019

Parallel Computation of Graph Embeddings.
CoRR, 2019

Online User Representation Learning Across Heterogeneous Social Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A deep learning approach for early wildfire detection from hyperspectral satellite images.
Proceedings of the 7th International Conference on Robot Intelligence Technology and Applications, 2019

Network Alignment by Representation Learning on Structure and Attribute.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019

Optimising Deep Learning Split Deployment for IoT Edge Networks.
Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

Enhancing Collaborative Filtering with Generative Augmentation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Streaming Session-based Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inferring Substitutable Products with Deep Network Embedding.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Answering Why-Not Group Spatial Keyword Queries (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

AIR: Attentional Intention-Aware Recommender Systems.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Exploiting Centrality Information with Graph Convolutions for Network Representation Learning.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Multi-hop Path Queries over Knowledge Graphs with Neural Memory Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Multiple Rumor Source Detection with Graph Convolutional Networks.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network.
Proceedings of the Data Mining - 17th Australasian Conference, AusDM 2019, Adelaide, SA, 2019

2018
Computing Crowd Consensus with Partial Agreement.
IEEE Trans. Knowl. Data Eng., 2018

TPM: A Temporal Personalized Model for Spatial Item Recommendation.
ACM Trans. Intell. Syst. Technol., 2018

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.
Knowl. Based Syst., 2018

Diversifying Group Recommendation.
IEEE Access, 2018

Minimizing Efforts in Reconciling Participatory Sensing Data.
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics, 2018

Streaming Ranking Based Recommender Systems.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Concept for Evaluation of Techniques for Trajectory Distance Measures.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

REST: A Reference-based Framework for Spatio-temporal Trajectory Compression.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

PME: Projected Metric Embedding on Heterogeneous Networks for Link Prediction.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Joint Event-Partner Recommendation in Event-Based Social Networks.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

What-If Analysis with Conflicting Goals: Recommending Data Ranges for Exploration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2018

A System for Spatial-Temporal Trajectory Data Integration and Representation.
Proceedings of the Database Systems for Advanced Applications, 2018

Bootstrapping Uncertainty in Schema Covering.
Proceedings of the Databases Theory and Applications, 2018

An Ensemble System with Random Projection and Dynamic Ensemble Selection.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
Answer validation for generic crowdsourcing tasks with minimal efforts.
VLDB J., 2017

Argument discovery via crowdsourcing.
VLDB J., 2017

A Novel Centrality Cascading Based Edge Parameter Evaluation Method for Robust Influence Maximization.
IEEE Access, 2017

Retaining Data from Streams of Social Platforms with Minimal Regret.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

SPTF: A Scalable Probabilistic Tensor Factorization Model for Semantic-Aware Behavior Prediction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Provenance-Based Rumor Detection.
Proceedings of the Databases Theory and Applications, 2017

2016
Adapting to User Interest Drift for POI Recommendation.
IEEE Trans. Knowl. Data Eng., 2016

Discovering interpretable geo-social communities for user behavior prediction.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Scalable and Fast Top-k Most Similar Trajectories Search Using MapReduce In-Memory.
Proceedings of the Databases Theory and Applications, 2016

2015
Minimizing Efforts in Validating Crowd Answers.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

ERICA: Expert Guidance in Validating Crowd Answers.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Result selection and summarization for Web Table search.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

SMART: A tool for analyzing and reconciling schema matching networks.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

An Evaluation of Diversification Techniques.
Proceedings of the Database and Expert Systems Applications, 2015

Tag-Based Paper Retrieval: Minimizing User Effort with Diversity Awareness.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Reconciling Schema Matching Networks.
PhD thesis, 2014

Reconciling Schema Matching Networks Through Crowdsourcing.
EAI Endorsed Trans. Collab. Comput., 2014

Pay-as-you-go reconciliation in schema matching networks.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Privacy-Preserving Schema Reuse.
Proceedings of the Database Systems for Advanced Applications, 2014

Towards enabling probabilistic databases for participatory sensing.
Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, 2014

2013
An Evaluation of Model-Based Approaches to Sensor Data Compression.
IEEE Trans. Knowl. Data Eng., 2013

An Evaluation of Aggregation Techniques in Crowdsourcing.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Using motif information to improve anytime time series classification.
Proceedings of the 2013 International Conference on Soft Computing and Pattern Recognition, 2013

BATC: a benchmark for aggregation techniques in crowdsourcing.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Collaborative Schema Matching Reconciliation.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

Completeness and Ambiguity of Schema Cover.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2013 Conferences, 2013

Minimizing Human Effort in Reconciling Match Networks.
Proceedings of the Conceptual Modeling - 32th International Conference, 2013

On Leveraging Crowdsourcing Techniques for Schema Matching Networks.
Proceedings of the Database Systems for Advanced Applications, 2013

An MAS negotiation support tool for schema matching.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
A Framework to Combine Multiple Matchers for Pair-Wise Schema Matching.
Proceedings of the 2012 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Ho Chi Minh City, Vietnam, February 27, 2012

2008
An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

2006
Generating complete university course timetables by using local search methods.
Proceedings of the 4th International Confernce on Computer Sciences: Research, 2006


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