Lei Chen

Orcid: 0000-0002-8257-5806

Affiliations:
  • Hong Kong University of Science and Technology, Huawei Noah's Ark Lab, Department of Computer Science and Engineering, Hong Kong


According to our database1, Lei Chen authored at least 678 papers between 2002 and 2024.

Collaborative distances:

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Bibliography

2024
Task Assignment Framework for Online Car-Hailing Systems With Electric Vehicles.
IEEE Trans. Knowl. Data Eng., December, 2024

PredictEFC: a fast and efficient multi-label classifier for predicting enzyme family classes.
BMC Bioinform., December, 2024

Similarity-driven and task-driven models for diversity of opinion in crowdsourcing markets.
VLDB J., September, 2024

Galaxybase: A High Performance Native Distributed Graph Database for HTAP.
Proc. VLDB Endow., August, 2024

CMixing: An Efficient Coin Mixing Platform to Enhance Anonymity in Cryptocurrency Transactions.
Proc. VLDB Endow., August, 2024

Distributed Graph Neural Network Training: A Survey.
ACM Comput. Surv., August, 2024

Efficient Index for Temporal Core Queries over Bipartite Graphs.
Proc. VLDB Endow., July, 2024

Are Large Language Models a Good Replacement of Taxonomies?
Proc. VLDB Endow., July, 2024

Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation.
Trans. Recomm. Syst., June, 2024

Fight Fire with Fire: Towards Robust Graph Neural Networks on Dynamic Graphs via Actively Defense.
Proc. VLDB Endow., April, 2024

DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning.
Proc. VLDB Endow., February, 2024

STile: Searching Hybrid Sparse Formats for Sparse Deep Learning Operators Automatically.
Proc. ACM Manag. Data, February, 2024

Neural Moderation of ASMR Erotica Content in Social Networks.
IEEE Trans. Knowl. Data Eng., January, 2024

ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs.
Proc. VLDB Endow., January, 2024

SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement.
Proc. ACM Manag. Data, 2024

A decomposition-ensemble-integration framework for carbon price forecasting.
Expert Syst. Appl., 2024

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.
CoRR, 2024

Why Are Learned Indexes So Effective but Sometimes Ineffective?
CoRR, 2024

RTLRewriter: Methodologies for Large Models aided RTL Code Optimization.
CoRR, 2024

Automate Strategy Finding with LLM in Quant investment.
CoRR, 2024

Class-aware and Augmentation-free Contrastive Learning from Label Proportion.
CoRR, 2024

Computation-friendly Graph Neural Network Design by Accumulating Knowledge on Large Language Models.
CoRR, 2024

Dissecting Multiplication in Transformers: Insights into LLMs.
CoRR, 2024

R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation.
CoRR, 2024

Are Large Language Models a Good Replacement of Taxonomies?
CoRR, 2024

CRAG - Comprehensive RAG Benchmark.
CoRR, 2024

Logic Synthesis with Generative Deep Neural Networks.
CoRR, 2024

Cardinality Estimation on Hyper-relational Knowledge Graphs.
CoRR, 2024

UniCL: A Universal Contrastive Learning Framework for Large Time Series Models.
CoRR, 2024

How Good Are Multi-dimensional Learned Indices? An Experimental Survey.
CoRR, 2024

Semi-Parametric Retrieval via Binary Token Index.
CoRR, 2024

Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate.
CoRR, 2024

XPose: eXplainable Human Pose Estimation.
CoRR, 2024

HDLdebugger: Streamlining HDL debugging with Large Language Models.
CoRR, 2024

The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models.
CoRR, 2024

EntailE: Introducing Textual Entailment in Commonsense Knowledge Graph Completion.
CoRR, 2024

On Leveraging Large Language Models for Enhancing Entity Resolution.
CoRR, 2024

BoostER: Leveraging Large Language Models for Enhancing Entity Resolution.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Learning from Emergence: A Study on Proactively Inhibiting the Monosemantic Neurons of Artificial Neural Networks.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Money Never Sleeps: Maximizing Liquidity Mining Yields in Decentralized Finance.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

InLN: Knowledge-aware Incremental Leveling Network for Dynamic Advertising.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Retrieval-based Disentangled Representation Learning with Natural Language Supervision.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy-Preserving Traffic Flow Release with Consistency Constraints.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Wait to be Faster: A Smart Pooling Framework for Dynamic Ridesharing.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

TrendSharing: A Framework to Discover and Follow the Trends for Shared Mobility Services.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Search to Fine-Tune Pre-Trained Graph Neural Networks for Graph-Level Tasks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cross-Domain-Aware Worker Selection with Training for Crowdsourced Annotation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Knowledge-Enhanced Recommendation with User-Centric Subgraph Network.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Effective Data Selection and Replay for Unsupervised Continual Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

E<sup>2</sup>GCL: Efficient and Expressive Contrastive Learning on Graph Neural Networks.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GradGCL: Gradient Graph Contrastive Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Graph Anomaly Detection with Domain-Agnostic Pre-Training and Few-Shot Adaptation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Positive Communities on Signed Graphs That Are Not Echo Chambers: A Clique-Based Approach.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

R²AG: Incorporating Retrieval Information into Retrieval Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

PKBC: A Product-Specific Knowledge base Taxonomy Framework.
Proceedings of the Database Systems for Advanced Applications, 2024

Cost-Aware Outdated Facts Correction in the Knowledge Bases.
Proceedings of the Database Systems for Advanced Applications, 2024

Stable Task Assignment with Range Partition under Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2024

A Universal and Interpretable Method for Enhancing Stock Price Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Multivariate Time-Series Forecasting Model: Predictability Analysis and Empirical Study.
IEEE Trans. Big Data, December, 2023

Outdoor Position Recovery From Heterogeneous Telco Cellular Data.
IEEE Trans. Knowl. Data Eng., November, 2023

Complex Event Summarization Using Multi-Social Attribute Correlation.
IEEE Trans. Knowl. Data Eng., November, 2023

Maximum Balanced (k, ε)-Bitruss Detection in Signed Bipartite Graph.
Proc. VLDB Endow., November, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Guest Editorial Special Issue on Online Recommendation Using AI and Big Data Techniques.
IEEE Trans. Knowl. Data Eng., October, 2023

Butterfly counting and bitruss decomposition on uncertain bipartite graphs.
VLDB J., September, 2023

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

From Large Language Models to Databases and Back: A Discussion on Research and Education.
SIGMOD Rec., September, 2023

P<sup>2</sup>CG: a privacy preserving collaborative graph neural network training framework.
VLDB J., July, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023

Publishing Graphs Under Node Differential Privacy.
IEEE Trans. Knowl. Data Eng., April, 2023

Burstiness-Aware Web Search Analysis on Different Levels of Evidences.
IEEE Trans. Knowl. Data Eng., March, 2023

Characterizing Performance Limits in Payment Channel Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Scalable Identity-Oriented Speech Retrieval.
IEEE Trans. Knowl. Data Eng., March, 2023

MedChemLens: An Interactive Visual Tool to Support Direction Selection in Interdisciplinary Experimental Research of Medicinal Chemistry.
IEEE Trans. Vis. Comput. Graph., 2023

Centralized Routing for Bike-Sharing Systems.
IEEE Trans. Knowl. Data Eng., 2023

Where to: Crowd-Aided Path Selection by Selective Bayesian Network.
IEEE Trans. Knowl. Data Eng., 2023

Efficient Approximate Range Aggregation Over Large-Scale Spatial Data Federation.
IEEE Trans. Knowl. Data Eng., 2023

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-Aware Deep Architecture.
IEEE Trans. Knowl. Data Eng., 2023

Maximal D-truss Search in Dynamic Directed Graphs.
Proc. VLDB Endow., 2023

RECA: Related Tables Enhanced Column Semantic Type Annotation Framework.
Proc. VLDB Endow., 2023

PSFQ: A Blockchain-based Privacy-preserving and Verifiable Student Feedback Questionnaire Platform.
Proc. VLDB Endow., 2023

Utility-aware Payment Channel Network Rebalance.
Proc. VLDB Endow., 2023

HENCE-X: Toward Heterogeneity-agnostic Multi-level Explainability for Deep Graph Networks.
Proc. VLDB Endow., 2023

On Data-Aware Global Explainability of Graph Neural Networks.
Proc. VLDB Endow., 2023

Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank.
Proc. VLDB Endow., 2023

Efficient Non-Learning Similar Subtrajectory Search.
Proc. VLDB Endow., 2023

SUFF: Accelerating Subgraph Matching with Historical Data.
Proc. VLDB Endow., 2023

DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU.
Proc. ACM Manag. Data, 2023

LiteHST: A Tree Embedding based Method for Similarity Search.
Proc. ACM Manag. Data, 2023

Incremental Tabular Learning on Heterogeneous Feature Space.
Proc. ACM Manag. Data, 2023

Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees.
Proc. ACM Manag. Data, 2023

SSIN: Self-Supervised Learning for Rainfall Spatial Interpolation.
Proc. ACM Manag. Data, 2023

EARLY: Efficient and Reliable Graph Neural Network for Dynamic Graphs.
Proc. ACM Manag. Data, 2023

Single-Cell RNA-seq Synthesis with Latent Diffusion Model.
CoRR, 2023

Emergence Learning: A Rising Direction from Emergent Abilities and a Monosemanticity-Based Study.
CoRR, 2023

Methods for Acquiring and Incorporating Knowledge into Stock Price Prediction: A Survey.
CoRR, 2023

A survey on deep learning approaches for data integration in autonomous driving system.
CoRR, 2023

FTSO: Effective NAS via First Topology Second Operator.
CoRR, 2023

Message Function Search for Knowledge Graph Embedding.
Proceedings of the ACM Web Conference 2023, 2023

Controllable Universal Fair Representation Learning.
Proceedings of the ACM Web Conference 2023, 2023

Narrow the Input Mismatch in Deep Graph Neural Network Distillation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Message Passing Neural Network Space for Better Capturing Data-dependent Receptive Fields.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diga: Guided Diffusion Model for Graph Recovery in Anti-Money Laundering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Topic-DPR: Topic-based Prompts for Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

HIT - An Effective Approach to Build a Dynamic Financial Knowledge Base.
Proceedings of the Database Systems for Advanced Applications, 2023

Approximate k-Nearest Neighbor Query over Spatial Data Federation.
Proceedings of the Database Systems for Advanced Applications, 2023

TE-DyGE: Temporal Evolution-Enhanced Dynamic Graph Embedding Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Accurate and Efficient Trajectory-Based Contact Tracing with Secure Computation and Geo-Indistinguishability.
Proceedings of the Database Systems for Advanced Applications, 2023

Efficient and Accurate Range Counting on Privacy-Preserving Spatial Data Federation.
Proceedings of the Database Systems for Advanced Applications, 2023

Rainfall Spatial Interpolation with Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

AIR: Adaptive Incremental Embedding Updating for Dynamic Knowledge Graphs.
Proceedings of the Database Systems for Advanced Applications, 2023

A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Dionysus: Recovering Scene Structures by Dividing into Semantic Pieces.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Model Debiasing via Gradient-based Explanation on Representation.
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023

CAT: A Contextualized Conceptualization and Instantiation Framework for Commonsense Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Privacy-preserving worker allocation in crowdsourcing.
VLDB J., 2022

Unified Route Planning for Shared Mobility: An Insertion-based Framework.
ACM Trans. Database Syst., 2022

Cleaning Uncertain Data With Crowdsourcing - A General Model With Diverse Accuracy Rates.
IEEE Trans. Knowl. Data Eng., 2022

Effective Similarity Search on Heterogeneous Networks: A Meta-Path Free Approach.
IEEE Trans. Knowl. Data Eng., 2022

A Survey of Data-Driven and Knowledge-Aware eXplainable AI.
IEEE Trans. Knowl. Data Eng., 2022

Maximizing the Utility in Location-Based Mobile Advertising.
IEEE Trans. Knowl. Data Eng., 2022

Strict and Flexible Rule-Based Graph Repairing.
IEEE Trans. Knowl. Data Eng., 2022

Event Popularity Prediction Using Influential Hashtags From Social Media.
IEEE Trans. Knowl. Data Eng., 2022

Migrating Social Event Recommendation Over Microblogs.
Proc. VLDB Endow., 2022

L2chain: Towards High-performance, Confidential and Secure Layer-2 Blockchain Solution for Decentralized Applications.
Proc. VLDB Endow., 2022

Towards Distributed Bitruss Decomposition on Bipartite Graphs.
Proc. VLDB Endow., 2022

Online Ridesharing with Meeting Points.
Proc. VLDB Endow., 2022

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation.
Proc. VLDB Endow., 2022

Fairness Matters: A Tit-For-Tat Strategy Against Selfish Mining.
Proc. VLDB Endow., 2022

SANCUS: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks.
Proc. VLDB Endow., 2022

Hu-Fu: A Data Federation System for Secure Spatial Queries.
Proc. VLDB Endow., 2022

An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs.
Proc. VLDB Endow., 2022

Privacy-preserving Cooperative Online Matching over Spatial Crowdsourcing Platforms.
Proc. VLDB Endow., 2022

BlockShare: A Blockchain Empowered System for Privacy-Preserving Verifiable Data Sharing.
IEEE Data Eng. Bull., 2022

Retrieval-based Disentanglement with Distant Supervision.
CoRR, 2022

Online Ridesharing with Meeting Points [Technical Report].
CoRR, 2022

A Comprehensive Survey on Trustworthy Recommender Systems.
CoRR, 2022

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.
CoRR, 2022

Efficient k-clique Listing with Set Intersection Speedup [Technical Report].
CoRR, 2022

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models.
CoRR, 2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report].
CoRR, 2022

Generating Perturbation-based Explanations with Robustness to Out-of-Distribution Data.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A New Class of Polynomial Activation Functions of Deep Learning for Precipitation Forecasting.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Faster and Better Solution to Embed Lp Metrics by Tree Metrics.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

HAP: An Efficient Hamming Space Index Based on Augmented Pigeonhole Principle.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Camel: Managing Data for Efficient Stream Learning.
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

Revisiting Injective Attacks on Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Noisy Interactive Graph Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Feature-Oriented Sampling for Fast and Scalable GNN Training.
Proceedings of the IEEE International Conference on Data Mining, 2022

CC-GNN: A Community and Contraction-based Graph Neural Network.
Proceedings of the IEEE International Conference on Data Mining, 2022

Crowdsourced Fact Validation for Knowledge Bases.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient $k-\text{clique}$ Listing with Set Intersection Speedup.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Tower Bridge Net (TB-Net): Bidirectional Knowledge Graph Aware Embedding Propagation for Explainable Recommender Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Mixing Transactions with Arbitrary Values on Blockchains.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Lasagne: A Multi-Layer Graph Convolutional Network Framework via Node-aware Deep Architecture (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Black-box Adversarial Attack and Defense on Graph Neural Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cost-Effective Algorithms for Average-Case Interactive Graph Search.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Event Popularity Prediction Using Influential Hashtags from Social Media (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

An Improved Density Peaks-Based Graph Clustering Algorithm.
Proceedings of the Advances in Internet, Data & Web Technologies, 2022

IS-MVSNet: Importance Sampling-Based MVSNet.
Proceedings of the Computer Vision - ECCV 2022, 2022

On Glocal Explainability of Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2022

AE-smnsMLC: Multi-Label Classification with Semantic Matching and Negative Label Sampling for Product Attribute Value Extraction.
Proceedings of the IEEE International Conference on Big Data, 2022

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Simple and automated negative sampling for knowledge graph embedding.
VLDB J., 2021

Memory-aware framework for fast and scalable second-order random walk over billion-edge natural graphs.
VLDB J., 2021

Guest Editorial: Special issue on VLDB 2019.
VLDB J., 2021

Efficient Similarity Search for Sets over Graphs.
IEEE Trans. Knowl. Data Eng., 2021

Fast and Accurate SimRank Computation via Forward Local Push and its Parallelization.
IEEE Trans. Knowl. Data Eng., 2021

Quality-Assured Synchronized Task Assignment in Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

Two-Sided Online Micro-Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2021

A Comparative Study of Consistent Snapshot Algorithms for Main-Memory Database Systems.
IEEE Trans. Knowl. Data Eng., 2021

Cohesive Group Nearest Neighbor Queries on Road-Social Networks under Multi-Criteria.
IEEE Trans. Knowl. Data Eng., 2021

Event-Participant and Incremental Planning over Event-Based Social Networks.
IEEE Trans. Knowl. Data Eng., 2021

Analysis of Influence Contribution in Social Advertising.
Proc. VLDB Endow., 2021

Butterfly Counting on Uncertain Bipartite Networks.
Proc. VLDB Endow., 2021

ETO: Accelerating Optimization of DNN Operators by High-Performance Tensor Program Reuse.
Proc. VLDB Endow., 2021

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing.
Proc. VLDB Endow., 2021

Preface to the Special Issue on Data Management and Analysis Technique Supporting AI.
Int. J. Softw. Informatics, 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR, 2021

Towards More Effective and Economic Sparsely-Activated Model.
CoRR, 2021

Resisting Out-of-Distribution Data Problem in Perturbation of XAI.
CoRR, 2021

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing [technical report].
CoRR, 2021

Searching to Sparsify Tensor Decomposition for N-ary Relational Data.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection.
Proceedings of the WSDM '21, 2021

Event Cube for Suicidal Event Analysis: A Case Study.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

ALG: Fast and Accurate Active Learning Framework for Graph Convolutional Networks.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

DIV: Resolving the Dynamic Issues of Zero-knowledge Set Membership Proof in the Blockchain.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

When the Recursive Diversity Anonymity Meets the Ring Signature.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

TENET: Joint Entity and Relation Linking with Coherence Relaxation.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Answer Complex Questions: Path Ranker Is All You Need.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoGEL: An Automated Graph Neural Network with Explicit Link Information.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual Explanations in Explainable AI: A Tutorial.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

An Experimental Study of Quantitative Evaluations on Saliency Methods.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

GraphANGEL: Adaptive aNd Structure-Aware Sampling on Graph NEuraL Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Mcore: Multi-Agent Collaborative Learning for Knowledge-Graph-Enhanced Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

HST+: An Efficient Index for Embedding Arbitrary Metric Spaces.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

UniNet: Scalable Network Representation Learning with Metropolis-Hastings Sampling.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

CaSIE: Canonicalize and Informative Selection of the OpenIE system.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Crowdrebate: An Effective Platform to Get more Rebate for Customers.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

LHist: Towards Learning Multi-dimensional Histogram for Massive Spatial Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Palette: Towards Multi-source Model Selection and Ensemble for Reuse.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Efficient Relation-aware Scoring Function Search for Knowledge Graph Embedding.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

EPP-MVSNet: Epipolar-assembling based Depth Prediction for Multi-view Stereo.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PAS: Enable Partial Consensus in the Blockchain.
Proceedings of the Database Systems for Advanced Applications, 2021

Efficiently Discovering Regions of Interest with User-Defined Score Function.
Proceedings of the Database Systems for Advanced Applications, 2021

Fine-Grained Entity Typing via Label Noise Reduction and Data Augmentation.
Proceedings of the Database Systems for Advanced Applications, 2021

Familia: A Configurable Topic Modeling Framework for Industrial Text Engineering.
Proceedings of the Database Systems for Advanced Applications, 2021

Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Cache-based GNN System for Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Co-authorship Prediction Based on Temporal Graph Attention.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Spatial crowdsourcing: a survey.
VLDB J., 2020

VLDB SI survey editorial.
VLDB J., 2020

Quality-aware Online Task Assignment in Mobile Crowdsourcing.
ACM Trans. Sens. Networks, 2020

Multi-Campaign Oriented Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2020

Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates.
IEEE Trans. Knowl. Data Eng., 2020

Enriching Data Imputation under Similarity Rule Constraints.
IEEE Trans. Knowl. Data Eng., 2020

Dynamic Connection-Based Social Group Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

LERI: Local Exploration for Rare-Category Identification.
IEEE Trans. Knowl. Data Eng., 2020

Making AI Machines Work for Humans in FoW.
SIGMOD Rec., 2020

Finding Large Diverse Communities on Networks: The Edge Maximum k*-Partite Clique.
Proc. VLDB Endow., 2020

The Simpler The Better: An Indexing Approach for Shared-Route Planning Queries.
Proc. VLDB Endow., 2020

Demand-Aware Route Planning for Shared Mobility Services.
Proc. VLDB Endow., 2020

Stable Learned Bloom Filters for Data Streams.
Proc. VLDB Endow., 2020

KBPearl: A Knowledge Base Population System Supported by Joint Entity and Relation Linking.
Proc. VLDB Endow., 2020

Effective and Efficient Relational Community Detection and Search in Large Dynamic Heterogeneous Information Networks.
Proc. VLDB Endow., 2020

Optimizing DNN Computation Graph using Graph Substitutions.
Proc. VLDB Endow., 2020

DISK: A Distributed Framework for Single-Source SimRank with Accuracy Guarantee.
Proc. VLDB Endow., 2020

Fair Task Assignment in Spatial Crowdsourcing.
Proc. VLDB Endow., 2020

Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2020

Quantitative Evaluations on Saliency Methods: An Experimental Study.
CoRR, 2020

Efficient, Simple and Automated Negative Sampling for Knowledge Graph Embedding.
CoRR, 2020

CoinMagic: A Differential Privacy Framework for Ring Signature Schemes.
CoRR, 2020

Utber: Utilizing Fine-Grained Entity Types to Relation Extraction with Distant Supervision.
Proceedings of the IEEE International Conference on Smart Data Services, 2020

Reliable Data Distillation on Graph Convolutional Network.
Proceedings of the 2020 International Conference on Management of Data, 2020

Memory-Aware Framework for Efficient Second-Order Random Walk on Large Graphs.
Proceedings of the 2020 International Conference on Management of Data, 2020

SPARQL Rewriting: Towards Desired Results.
Proceedings of the 2020 International Conference on Management of Data, 2020

ELite: Cost-effective Approximation of Exploration-based Graph Analysis.
Proceedings of the GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2020

Efficient Graph Query Processing over Geo-Distributed Datacenters.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AutoSF: Searching Scoring Functions for Knowledge Graph Embedding.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

HowSim: A General and Effective Similarity Measure on Heterogeneous Information Networks.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Task Allocation in Dependency-aware Spatial Crowdsourcing.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

RIDE: A System for Generalized Region of Interest Discovery and Exploration.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Real-Time Cross Online Matching in Spatial Crowdsourcing.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

TransN: Heterogeneous Network Representation Learning by Translating Node Embeddings.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Finish Them on the Fly: An Incentive Mechanism for Real-Time Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2020

DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs.
Proceedings of the Database Systems for Advanced Applications, 2020

Large-scale Graph Analysis: System, Algorithm and Optimization
Springer, ISBN: 978-981-15-3927-5, 2020

2019
Real-time context-aware social media recommendation.
VLDB J., 2019

Accelerating pairwise SimRank estimation over static and dynamic graphs.
VLDB J., 2019

Thematic issue on data management for graphs.
VLDB J., 2019

GCache: Neighborhood-Guided Graph Caching in a Distributed Environment.
IEEE Trans. Parallel Distributed Syst., 2019

Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., 2019

DLTA: A Framework for Dynamic Crowdsourcing Classification Tasks.
IEEE Trans. Knowl. Data Eng., 2019

Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload.
IEEE Trans. Knowl. Data Eng., 2019

FROG: A Fast and Reliable Crowdsourcing Framework.
IEEE Trans. Knowl. Data Eng., 2019

Human-in-the-loop Big Data and AI: Connecting Theories and Practices for a Better Future of Work (NII Shonan Meeting 154).
NII Shonan Meet. Rep., 2019

Last-Mile Delivery Made Practical: An Efficient Route Planning Framework with Theoretical Guarantees.
Proc. VLDB Endow., 2019

Front Matter.
Proc. VLDB Endow., 2019

Interaction Management in Crowdsourcing.
IEEE Data Eng. Bull., 2019

On Benchmarking for Crowdsourcing and Future of Work Platforms.
IEEE Data Eng. Bull., 2019

Letter from the Special Issue Editor.
IEEE Data Eng. Bull., 2019

Neural Recurrent Structure Search for Knowledge Graph Embedding.
CoRR, 2019

AutoKGE: Searching Scoring Functions for Knowledge Graph Embedding.
CoRR, 2019

Fluid: A Blockchain based Framework for Crowdsourcing.
Proceedings of the 2019 International Conference on Management of Data, 2019

Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Relation Extraction via Domain-aware Transfer Learning.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

I-CARS: An Interactive Context-Aware Recommender System.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Social Media Recommendation Over Streams.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Auction-Based Order Dispatch and Pricing in Ridesharing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Weight-Constrained Route Planning Over Time-Dependent Graphs.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Procrastination-Aware Scheduling: A Bipartite Graph Perspective.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Canonicalization of Open Knowledge Bases with Side Information from the Source Text.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

G*-Tree: An Efficient Spatial Index on Road Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Cohesive Group Nearest Neighbor Queries Over Road-Social Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Cooperation-Aware Task Assignment in Spatial Crowdsourcing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Minimizing Maximum Delay of Task Assignment in Spatial Crowdsourcing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

A Queueing-Theoretic Framework for Vehicle Dispatching in Dynamic Car-Hailing.
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Social-Aware Optimal Electric Vehicle Charger Deployment on Road Network.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Probabilistic Maximum Range-Sum Queries on Spatial Database.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
On Uncertain Graphs
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01860-2, 2018

Two-Dimensional Shape Retrieval.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Video Content Modeling.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Curse of Dimensionality.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Cost and Quality Trade-Offs in Crowdsourcing.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Revolution of Self-Organizing Network for 5G MmWave Small Cell Management: From Reactive to Proactive.
IEEE Wirel. Commun., 2018

SLADE: A Smart Large-Scale Task Decomposer in Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2018

Order Dispatch in Price-aware Ridesharing.
Proc. VLDB Endow., 2018

A Unified Approach to Route Planning for Shared Mobility.
Proc. VLDB Endow., 2018

Domain-Aware Multi-Truth Discovery from Conflicting Sources.
Proc. VLDB Endow., 2018

An Experimental Evaluation of Task Assignment in Spatial Crowdsourcing.
Proc. VLDB Endow., 2018

Relational data imputation with quality guarantee.
Inf. Sci., 2018

Reasoning about attribute value equivalence in relational data.
Inf. Syst., 2018

Narrowband Internet of Things: Evolutions, Technologies, and Open Issues.
IEEE Internet Things J., 2018

DDSL: Efficient Subgraph Listing on Distributed and Dynamic Graphs.
CoRR, 2018

Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base.
Proceedings of the 2018 International Conference on Management of Data, 2018

Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach.
Proceedings of the 2018 International Conference on Management of Data, 2018

Context-aware Academic Collaborator Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Transfer Learning via Feature Isomorphism Discovery.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Latency-Oriented Task Completion via Spatial Crowdsourcing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

CUB, a Consensus Unit-Based Storage Scheme for Blockchain System.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Efficient SimRank Tracking in Dynamic Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Realtime Traffic Speed Estimation with Sparse Crowdsourced Data.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

An Efficient Probabilistic Approach for Graph Similarity Search.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Knowledge Base Enhancement via Data Facts and Crowdsourcing.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

On Efficiently Detecting Overlapping Communities over Distributed Dynamic Graphs.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Jupiter: A Blockchain Platform for Mobile Devices.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Rule-Based Graph Repairing: Semantic and Efficient Repairing Methods.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Time-Aware Boolean Spatial Keyword Queries (Extended Abstract).
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Multi-Worker-Aware Task Planning in Real-Time Spatial Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2018

Effective Solution for Labeling Candidates with a Proper Ration for Efficient Crowdsourcing.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Enhancing online video recommendation using social user interactions.
VLDB J., 2017

Graph repairing under neighborhood constraints.
VLDB J., 2017

Efficient SimRank-Based Similarity Join.
ACM Trans. Database Syst., 2017

Response to "Differential Dependencies Revisited".
ACM Trans. Database Syst., 2017

Maximizing Acceptance in Rejection-Aware Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2017

Keyword Search over Distributed Graphs with Compressed Signature.
IEEE Trans. Knowl. Data Eng., 2017

Fast Parallel Path Concatenation for Graph Extraction.
IEEE Trans. Knowl. Data Eng., 2017

Knowledge Base Semantic Integration Using Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2017

Time-Aware Boolean Spatial Keyword Queries.
IEEE Trans. Knowl. Data Eng., 2017

Discovering Conditional Matching Rules.
ACM Trans. Knowl. Discov. Data, 2017

Flexible Online Task Assignment in Real-Time Spatial Data.
Proc. VLDB Endow., 2017

Spatial Crowdsourcing: Challenges, Techniques, and Applications.
Proc. VLDB Endow., 2017

Worker Recommendation for Crowdsourced Q&A Services: A Triple-Factor Aware Approach.
Proc. VLDB Endow., 2017

Extreme Learning Machine for large-scale graph classification based on MapReduce.
Neurocomputing, 2017

Distance-Aware Selective Online Query Processing Over Large Distributed Graphs.
Data Sci. Eng., 2017

Top-k Team Recommendation and Its Variants in Spatial Crowdsourcing.
Data Sci. Eng., 2017

Special Issue Editorial.
Data Sci. Eng., 2017

Subjective Knowledge Acquisition and Enrichment Powered By Crowdsourcing.
CoRR, 2017

Feedback-Aware Social Event-Participant Arrangement.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Utility-Aware Ridesharing on Road Networks.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands based on Large-Scale Online Platforms.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Trichromatic Online Matching in Real-Time Spatial Crowdsourcing.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Complex Event-Participant Planning and Its Incremental Variant.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Prediction-Based Task Assignment in Spatial Crowdsourcing.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Direction-Aware Why-Not Spatial Keyword Top-k Queries.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

CrowdFusion: A Crowdsourced Approach on Data Fusion Refinement.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Tuning Crowdsourced Human Computation.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016
Tracking frequent items over distributed probabilistic data.
World Wide Web, 2016

Answering subgraph queries over massive disk resident graphs.
World Wide Web, 2016

Processing SPARQL queries over distributed RDF graphs.
VLDB J., 2016

Continuous Answering Holistic Queries over Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2016

DistR: A Distributed Method for the Reachability Query over Large Uncertain Graphs.
IEEE Trans. Parallel Distributed Syst., 2016

Fast Composite Counting in RFID Systems.
IEEE/ACM Trans. Netw., 2016

RSkNN: kNN Search on Road Networks by Incorporating Social Influence.
IEEE Trans. Knowl. Data Eng., 2016

Conflict-Aware Event-Participant Arrangement and Its Variant for Online Setting.
IEEE Trans. Knowl. Data Eng., 2016

Quality-Aware Subgraph Matching Over Inconsistent Probabilistic Graph Databases.
IEEE Trans. Knowl. Data Eng., 2016

A Survey of General-Purpose Crowdsourcing Techniques.
IEEE Trans. Knowl. Data Eng., 2016

Task Assignment on Multi-Skill Oriented Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., 2016

A Survey on Accessing Dataspaces.
SIGMOD Rec., 2016

Online Minimum Matching in Real-Time Spatial Data: Experiments and Analysis.
Proc. VLDB Endow., 2016

Efficient Set-Correlation Operator Inside Databases.
J. Comput. Sci. Technol., 2016

Keyword Query over Error-Tolerant Knowledge Bases.
J. Comput. Sci. Technol., 2016

Efficient pattern matching on big uncertain graphs.
Inf. Sci., 2016

A probabilistic ranking framework for web-based relational data imputation.
Inf. Sci., 2016

Spatial Crowdsourcing: Challenges and Opportunities.
IEEE Data Eng. Bull., 2016

FROG: A Fast and Reliable Crowdsourcing Framework (Technical Report).
CoRR, 2016

Task Assignment on Spatial Crowdsourcing (Technical Report).
CoRR, 2016

Tuning Crowdsourced Human Computation.
CoRR, 2016

Adjustable Time-Window-Based Event Detection on Twitter.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

Top-k Team Recommendation in Spatial Crowdsourcing.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

TrendTracker: Modelling the Motion of Trends in Space and Time.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Mutual benefit aware task assignment in a bipartite labor market.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Online mobile Micro-Task Allocation in spatial crowdsourcing.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Query Workload-based RDF Graph Fragmentation and Allocation.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

Semantic-Aware Location Privacy Preservation on Road Networks.
Proceedings of the Database Systems for Advanced Applications, 2016

Object identification with Pay-As-You-Go crowdsourcing.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015
Privacy preserving graph publication in a distributed environment.
World Wide Web, 2015

Ranked content advertising in online social networks.
World Wide Web, 2015

Efficient distributed subgraph similarity matching.
VLDB J., 2015

Graph similarity search on large uncertain graph databases.
VLDB J., 2015

MTAF: An Adaptive Design for Keyword-Based Content Dissemination on DHT Networks.
IEEE Trans. Parallel Distributed Syst., 2015

Progressive Batch Medical Image Retrieval Processing in Mobile Wireless Networks.
ACM Trans. Internet Techn., 2015

Boosting Mobile Apps under Imbalanced Sensing Data.
IEEE Trans. Mob. Comput., 2015

Efficient Parallel Processing of Distance Join Queries Over Distributed Graphs.
IEEE Trans. Knowl. Data Eng., 2015

Heterogeneous Environment Aware Streaming Graph Partitioning.
IEEE Trans. Knowl. Data Eng., 2015

LINQ: A Framework for Location-Aware Indexing and Query Processing.
IEEE Trans. Knowl. Data Eng., 2015

Keyword Search Over Probabilistic RDF Graphs.
IEEE Trans. Knowl. Data Eng., 2015

SMC: A Practical Schema for Privacy-Preserved Data Sharing over Distributed Data Streams.
IEEE Trans. Big Data, 2015

Bonding Vertex Sets Over Distributed Graph: A Betweenness Aware Approach.
Proc. VLDB Endow., 2015

Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets.
Proc. VLDB Endow., 2015

Enriching Data Imputation with Extensive Similarity Neighbors.
Proc. VLDB Endow., 2015

An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.
Proc. VLDB Endow., 2015

On Uncertain Graphs Modeling and Queries.
Proc. VLDB Endow., 2015

Differential Privacy in Telco Big Data Platform.
Proc. VLDB Endow., 2015

Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers.
Proc. VLDB Endow., 2015

Discover the Misinformation Broadcasting in On-Line Social Networks.
J. Inf. Sci. Eng., 2015

Towards Better Understanding of App Functions.
J. Comput. Sci. Technol., 2015

Mining Frequent Itemsets in Correlated Uncertain Databases.
J. Comput. Sci. Technol., 2015

Threshold-Based Shortest Path Query over Large Correlated Uncertain Graphs.
J. Comput. Sci. Technol., 2015

Locality-aware allocation of multi-dimensional correlated files on the cloud platform.
Distributed Parallel Databases, 2015

Outsourcing high-dimensional healthcare data to cloud with personalized privacy preservation.
Comput. Networks, 2015

Online Video Recommendation in Sharing Community.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

CrowdLink: An Error-Tolerant Model for Linking Complex Records.
Proceedings of the Second International Workshop on Exploratory Search in Databases and the Web, 2015

Utility-Aware Social Event-Participant Planning.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

L-Graph: A General Graph Analytic System on Continuous Computation.
Proceedings of the 6th International Workshop on Hot Topics in Planet-Scale Measurement, 2015

Quality-Aware Online Task Assignment in Mobile Crowdsourcing.
Proceedings of the 12th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2015

CrowdTC: Crowdsourced Taxonomy Construction.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Cleaning uncertain data with a noisy crowd.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

A graph-based RDF triple store.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Conflict-aware event-participant arrangement.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Data-driven crowdsourcing: Management, mining, and applications.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

The Reachability Query over Distributed Uncertain Graphs.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

Traffic prediction in a bike-sharing system.
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2015

Hermes: Dynamic Partitioning for Distributed Social Network Graph Databases.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

Fast Similarity Search of Multi-Dimensional Time Series via Segment Rotation.
Proceedings of the Database Systems for Advanced Applications, 2015

2014
Privacy and Ethical Issues in Social Network Analysis.
Proceedings of the Social Networks: Analysis and Case Studies, 2014

Evaluating continuous top-k queries over document streams.
World Wide Web, 2014

gStore: a graph-based SPARQL query engine.
VLDB J., 2014

Event detection over twitter social media streams.
VLDB J., 2014

Free Market of Crowdsourcing: Incentive Mechanism Design for Mobile Sensing.
IEEE Trans. Parallel Distributed Syst., 2014

How to Conduct Distributed IncompletePattern Matching.
IEEE Trans. Parallel Distributed Syst., 2014

Efficient Determination of Distance Thresholds for Differential Dependencies.
IEEE Trans. Knowl. Data Eng., 2014

Trip Planner Over Probabilistic Time-Dependent Road Networks.
IEEE Trans. Knowl. Data Eng., 2014

Anomaly Detection from Incomplete Data.
ACM Trans. Knowl. Discov. Data, 2014

Where To: Crowd-Aided Path Selection.
Proc. VLDB Endow., 2014

LogGP: A Log-based Dynamic Graph Partitioning Method.
Proc. VLDB Endow., 2014

Repairing Vertex Labels under Neighborhood Constraints.
Proc. VLDB Endow., 2014

On Concise Set of Relative Candidate Keys.
Proc. VLDB Endow., 2014

gMission: A General Spatial Crowdsourcing Platform.
Proc. VLDB Endow., 2014

Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks.
J. Comput. Sci. Technol., 2014

Packet Delay Estimation Algorithm Against FIFO Waiting For Asymmetric IEEE 1588 System.
J. Comput., 2014

Probabilistic correlation-based similarity measure on text records.
Inf. Sci., 2014

Efficient processing of label-constraint reachability queries in large graphs.
Inf. Syst., 2014

Sensing with Mobile Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2014

Processing SPARQL Queries Over Linked Data-A Distributed Graph-based Approach.
CoRR, 2014

Reliable Diversity-Based Spatial Crowdsourcing by Moving Workers.
CoRR, 2014

TOMOHA: TOpic model-based HAshtag recommendation on twitter.
Proceedings of the 23rd International World Wide Web Conference, 2014

CrowdMatcher: crowd-assisted schema matching.
Proceedings of the International Conference on Management of Data, 2014

Parallel subgraph listing in a large-scale graph.
Proceedings of the International Conference on Management of Data, 2014

Efficient cohesive subgraphs detection in parallel.
Proceedings of the International Conference on Management of Data, 2014

Topic Evolutions in Scientific Conferences.
Proceedings of the 26th International Conference on Software Engineering and Knowledge Engineering, 2014

TCS: efficient topic discovery over crowd-oriented service data.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

From labor to trader: opinion elicitation via online crowds as a market.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

C-DMr: Crowd-powered Decision Maker for real world Knapsack Problems.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

CrowdCleaner: Data cleaning for multi-version data on the web via crowdsourcing.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

CrowdPlanner: A crowd-based route recommendation system.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Towards effective and efficient mining of arbitrary shaped clusters.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Generic Composite Counting in RFID Systems.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Wonder: Efficient Tag Identification for Large-Scale RFID Systems.
Proceedings of the IEEE International Conference on Distributed Computing in Sensor Systems, 2014

Preserving Location-Related Privacy Collaboratively in Geo-social Networks.
Proceedings of the IEEE 38th Annual Computer Software and Applications Conference, 2014

MaC: A Probabilistic Framework for Query Answering with Machine-Crowd Collaboration.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Pattern Match Query in a Large Uncertain Graph.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Probabilistic Supergraph Search Over Large Uncertain Graphs.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Join Query Processing on the Cloud.
Proceedings of the Cloud Computing and Digital Media, 2014

2013
Indexing dataspaces with partitions.
World Wide Web, 2013

Probabilistic Web Data Management.
World Wide Web, 2013

Comparable dependencies over heterogeneous data.
VLDB J., 2013

Efficient Keyword Search on Uncertain Graph Data.
IEEE Trans. Knowl. Data Eng., 2013

Protecting Sensitive Labels in Social Network Data Anonymization.
IEEE Trans. Knowl. Data Eng., 2013

Toward Efficient Filter Privacy-Aware Content-Based Pub/Sub Systems.
IEEE Trans. Knowl. Data Eng., 2013

Optimizing Multi-Top-k Queries over Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2013

Efficient SimRank-based Similarity Join Over Large Graphs.
Proc. VLDB Endow., 2013

Reducing Uncertainty of Schema Matching via Crowdsourcing.
Proc. VLDB Endow., 2013

Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search.
Proc. VLDB Endow., 2013

Probabilistic Nearest Neighbor Queries on Uncertain Moving Object Trajectories.
Proc. VLDB Endow., 2013

Weighting tags and paths in XML documents according to their topic generalization.
Inf. Sci., 2013

Exploiting structures in keyword queries for effective XML search.
Inf. Sci., 2013

Probabilistic top-k dominating queries in uncertain databases.
Inf. Sci., 2013

Efficient processing of probabilistic group subspace skyline queries in uncertain databases.
Inf. Syst., 2013

Graph publication when the protection algorithm is available.
Data Knowl. Eng., 2013

Efficient discovery of similarity constraints for matching dependencies.
Data Knowl. Eng., 2013

Similarity Search on Uncertain Spatio-temporal Data.
Proceedings of the Similarity Search and Applications - 6th International Conference, 2013

Finding time period-based most frequent path in big trajectory data.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

WiseMarket: a new paradigm for managing wisdom of online social users.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

ASVTDECTOR: A practical near duplicate video retrieval system.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

EAGRE: Towards scalable I/O efficient SPARQL query evaluation on the cloud.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Interval reverse nearest neighbor queries on uncertain data with Markov correlations.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Towards minimal-delay deadline-driven data center TCP.
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks, 2013

GeoTruCrowd: trustworthy query answering with spatial crowdsourcing.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

Subscription Privacy Protection in Topic-Based Pub/Sub.
Proceedings of the Database Systems for Advanced Applications, 2013

Causality and responsibility: probabilistic queries revisited in uncertain databases.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Managing the Wisdom of Crowds on Social Media Services.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Query Processing in Wireless Sensor Networks.
Proceedings of the Managing and Mining Sensor Data, 2013

2012
Query Processing over Uncertain Databases
Synthesis Lectures on Data Management, Morgan & Claypool Publishers, ISBN: 978-3-031-01896-1, 2012

Guest Editorial: Web-based services and information systems.
World Wide Web, 2012

Answering pattern match queries in large graph databases via graph embedding.
VLDB J., 2012

Efficient subsequence matching over large video databases.
VLDB J., 2012

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays.
IEEE Trans. Parallel Distributed Syst., 2012

Structure Tensor Series-Based Large Scale Near-Duplicate Video Retrieval.
IEEE Trans. Multim., 2012

Energy-Efficient Reverse Skyline Query Processing over Wireless Sensor Networks.
IEEE Trans. Knowl. Data Eng., 2012

Subspace Similarity Search under L<sub>p</sub>-Norm.
IEEE Trans. Knowl. Data Eng., 2012

Optimizing Bloom Filter Settings in Peer-to-Peer Multikeyword Searching.
IEEE Trans. Knowl. Data Eng., 2012

Efficient Multi-way Theta-Join Processing Using MapReduce.
Proc. VLDB Endow., 2012

Efficient Subgraph Similarity Search on Large Probabilistic Graph Databases.
Proc. VLDB Endow., 2012

Mining Frequent Itemsets over Uncertain Databases.
Proc. VLDB Endow., 2012

Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services.
Proc. VLDB Endow., 2012

Continuous monitoring of skylines over uncertain data streams.
Inf. Sci., 2012

Distributed top-k full-text content dissemination.
Distributed Parallel Databases, 2012

Towards Efficient Join Processing over Large RDF Graph Using MapReduce.
Proceedings of the Scientific and Statistical Database Management, 2012

Discovering areas of interest with geo-tagged images and check-ins.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

UFIMT: an uncertain frequent itemset mining toolbox.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

PCC voltage stabilization by D-STATCOM with direct grid voltage control strategy.
Proceedings of the 21st IEEE International Symposium on Industrial Electronics, 2012

A General Framework for Publishing Privacy Protected and Utility Preserved Graph.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Discovering Threshold-based Frequent Closed Itemsets over Probabilistic Data.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Parameter-Free Determination of Distance Thresholds for Metric Distance Constraints.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

MOVE: A Large Scale Keyword-Based Content Filtering and Dissemination System.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

Distributed Incomplete Pattern Matching via a Novel Weighted Bloom Filter.
Proceedings of the 2012 IEEE 32nd International Conference on Distributed Computing Systems, 2012

Semi-Edge Anonymity: Graph Publication when the Protection Algorithm Is Available.
Proceedings of the Database Systems for Advanced Applications, 2012

Data Management Challenges and Opportunities in Cloud Computing.
Proceedings of the Database Systems for Advanced Applications, 2012

Query Processing over Uncertain and Probabilistic Databases.
Proceedings of the Database Systems for Advanced Applications, 2012

2011
Leadership discovery when data correlatively evolve.
World Wide Web, 2011

A distributed full-text top-k document dissemination system in distributed hash tables.
World Wide Web, 2011

STAIRS: Towards efficient full-text filtering and dissemination in DHT environments.
VLDB J., 2011

Shooting top-k stars in uncertain databases.
VLDB J., 2011

Probabilistic inverse ranking queries in uncertain databases.
VLDB J., 2011

Differential dependencies: Reasoning and discovery.
ACM Trans. Database Syst., 2011

Pareto-Based Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries.
IEEE Trans. Knowl. Data Eng., 2011

The World in a Nutshell: Concise Range Queries.
IEEE Trans. Knowl. Data Eng., 2011

Materialization and Decomposition of Dataspaces for Efficient Search.
IEEE Trans. Knowl. Data Eng., 2011

Answering Frequent Probabilistic Inference Queries in Databases.
IEEE Trans. Knowl. Data Eng., 2011

Returning Clustered Results for Keyword Search on XML Documents.
IEEE Trans. Knowl. Data Eng., 2011

Similarity Join Processing on Uncertain Data Streams.
IEEE Trans. Knowl. Data Eng., 2011

gStore: Answering SPARQL Queries via Subgraph Matching.
Proc. VLDB Endow., 2011

Efficient Subgraph Search over Large Uncertain Graphs.
Proc. VLDB Endow., 2011

Finding the least influenced set in uncertain databases.
Inf. Syst., 2011

Subgraph Search over Massive Disk Resident Graphs.
Proceedings of the Scientific and Statistical Database Management, 2011

Probabilistic Time Consistent Queries over Moving Objects.
Proceedings of the Scientific and Statistical Database Management, 2011

Efficient query answering in probabilistic RDF graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Structure tensor series-based matching for near-duplicate video retrieval.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

CIM: categorical influence maximization.
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, 2011

Preface.
Proceedings of the Workshops Proceedings of the 27th International Conference on Data Engineering, 2011

On data dependencies in dataspaces.
Proceedings of the 27th International Conference on Data Engineering, 2011

Managing uncertain spatio-temporal data.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Querying and Mining Uncertain Spatio-Temporal Data, 2011

Removing Uncertainties from Overlay Network.
Proceedings of the Database Systems for Advanced Applications, 2011

Node Protection in Weighted Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2011

Privacy-Preserved Network Data Publishing.
Proceedings of the Database Systems for Adanced Applications, 2011

Answering label-constraint reachability in large graphs.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

KLEAP: an efficient cleaning method to remove cross-reads in RFID streams.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Cost-efficient repair in inconsistent probabilistic databases.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Fault tolerance study for durable storage on the cloud.
Proceedings of the 2011 International Conference on Cloud and Service Computing, 2011

2010
A Survey of Privacy-Preservation of Graphs and Social Networks.
Proceedings of the Managing and Mining Graph Data, 2010

Sliding-window top-<i>k</i> queries on uncertain streams.
VLDB J., 2010

Optimal Resource Placement in Structured Peer-to-Peer Networks.
IEEE Trans. Parallel Distributed Syst., 2010

Reverse skyline search in uncertain databases.
ACM Trans. Database Syst., 2010

Adaptive Subspace Symbolization for Content-Based Video Detection.
IEEE Trans. Knowl. Data Eng., 2010

Ranked Query Processing in Uncertain Databases.
IEEE Trans. Knowl. Data Eng., 2010

Continuous Subgraph Pattern Search over Certain and Uncertain Graph Streams.
IEEE Trans. Knowl. Data Eng., 2010

Personalized Privacy Protection in Social Networks.
Proc. VLDB Endow., 2010

A Generic Framework for Handling Uncertain Data with Local Correlations.
Proc. VLDB Endow., 2010

Set Similarity Join on Probabilistic Data.
Proc. VLDB Endow., 2010

Enabling routing control in a DHT.
IEEE J. Sel. Areas Commun., 2010

Development of foundation models for Internet of Things.
Frontiers Comput. Sci. China, 2010

Consistent query answers in inconsistent probabilistic databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Monitoring near duplicates over video streams.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Data Vitalization: A New Paradigm for Large-Scale Dataset Analysis.
Proceedings of the 16th IEEE International Conference on Parallel and Distributed Systems, 2010

Research on neural network blind equalization algorithm with structure optimized by genetic algorithm.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Sequential blind image extraction based on particle swarm optimization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Dynamic Skyline Queries in Large Graphs.
Proceedings of the Database Systems for Advanced Applications, 2010

Efficiently Answering Probability Threshold-Based Shortest Path Queries over Uncertain Graphs.
Proceedings of the Database Systems for Advanced Applications, 2010

Detecting Leaders from Correlated Time Series.
Proceedings of the Database Systems for Advanced Applications, 2010

Efficient set-correlation operator inside databases.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Automatically weighting tags in XML collection.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Two Novel Semantics of Top-k Queries Processing in Uncertain Database.
Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

Cloudweaver: Adaptive and Data-Driven Workload Manager for Generic Clouds.
Proceedings of the Handbook of Cloud Computing., 2010

2009
Video Content Modeling.
Proceedings of the Encyclopedia of Database Systems, 2009

Two-Dimensional Shape Retrieval.
Proceedings of the Encyclopedia of Database Systems, 2009

Curse of Dimensionality.
Proceedings of the Encyclopedia of Database Systems, 2009

Efficient processing of probabilistic reverse nearest neighbor queries over uncertain data.
VLDB J., 2009

Virtual surrounding face geocasting in wireless ad hoc and sensor networks.
IEEE/ACM Trans. Netw., 2009

An Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points.
IEEE Trans. Multim., 2009

Multiscale Representations for Fast Pattern Matching in Stream Time Series.
IEEE Trans. Knowl. Data Eng., 2009

Efficient Similarity Join over Multiple Stream Time Series.
IEEE Trans. Knowl. Data Eng., 2009

General Cost Models for Evaluating Dimensionality Reduction in High-Dimensional Spaces.
IEEE Trans. Knowl. Data Eng., 2009

Efficient Processing of Metric Skyline Queries.
IEEE Trans. Knowl. Data Eng., 2009

K-Automorphism: A General Framework For Privacy Preserving Network Publication.
Proc. VLDB Endow., 2009

DistanceJoin: Pattern Match Query In a Large Graph Database.
Proc. VLDB Endow., 2009

Multi-Version Music Search Using Acoustic Feature Union and Exact Soft Mapping.
Int. J. Semantic Comput., 2009

Local summarization and multi-level LSH for retrieving multi-variant audio tracks.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Efficient anomaly monitoring over moving object trajectory streams.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

On Efficient Content Matching in Distributed Pub/Sub Systems.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

An Adaptive Multi-user Detection Algorithm Based on Forward Neural Network.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Research of Blind Images Separation Algorithm Based on Kernel Space.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Max Regional Aggregate over Sensor Networks.
Proceedings of the 25th International Conference on Data Engineering, 2009

A Concise Representation of Range Queries.
Proceedings of the 25th International Conference on Data Engineering, 2009

Continuous Subgraph Pattern Search over Graph Streams.
Proceedings of the 25th International Conference on Data Engineering, 2009

STAIRS: Towards Efficient Full-Text Filtering and Dissemination in a DHT Environment.
Proceedings of the 25th International Conference on Data Engineering, 2009

Top-k dominating queries in uncertain databases.
Proceedings of the EDBT 2009, 2009

Evaluating probability threshold k-nearest-neighbor queries over uncertain data.
Proceedings of the EDBT 2009, 2009

Top-K Correlation Sub-graph Search in Graph Databases.
Proceedings of the Database Systems for Advanced Applications, 2009

A Unified Indexing Structure for Efficient Cross-Media Retrieval.
Proceedings of the Database Systems for Advanced Applications, 2009

Energy-Efficient Evaluation of Multiple Skyline Queries over a Wireless Sensor Network.
Proceedings of the Database Systems for Advanced Applications, 2009

Probabilistic Inverse Ranking Queries over Uncertain Data.
Proceedings of the Database Systems for Advanced Applications, 2009

Discovering matching dependencies.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Effective XML content and structure retrieval with relevance ranking.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Efficient join processing on uncertain data streams.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Signature-File-Based Approach for Query Answering Over Wireless Sensor Networks.
IEEE Trans. Veh. Technol., 2008

Maximal Subspace Coregulated Gene Clustering.
IEEE Trans. Knowl. Data Eng., 2008

Probabilistic Group Nearest Neighbor Queries in Uncertain Databases.
IEEE Trans. Knowl. Data Eng., 2008

Efficient Similarity Search over Future Stream Time Series.
IEEE Trans. Knowl. Data Eng., 2008

Nonthreshold-Based Event Detection for 3D Environment Monitoring in Sensor Networks.
IEEE Trans. Knowl. Data Eng., 2008

Efficient Similarity Search in Nonmetric Spaces with Local Constant Embedding.
IEEE Trans. Knowl. Data Eng., 2008

Sliding-window top-k queries on uncertain streams.
Proc. VLDB Endow., 2008

Privacy preserving serial data publishing by role composition.
Proc. VLDB Endow., 2008

Robust and Efficient Aggregate Query Processing in Wireless Sensor Networks.
Mob. Networks Appl., 2008

Continually Answering Constraint <i>k</i> - <i>NN</i> Queries in Unstructured P2P Systems.
J. Comput. Sci. Technol., 2008

Scalable Base-Station Model-Based Multicast in Wireless Sensor Networks.
J. Comput. Sci. Technol., 2008

Efficient multi-keyword search over p2p web.
Proceedings of the 17th International Conference on World Wide Web, 2008

Monochromatic and bichromatic reverse skyline search over uncertain databases.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

Flexible Routing in Grouped DHTs.
Proceedings of the Proceedings P2P'08, 2008

COSIN: content-based retrieval system for cover songs.
Proceedings of the 16th International Conference on Multimedia 2008, 2008

Searching musical audio datasets by a batch of multi-variant tracks.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

Using Exact Locality Sensitive Mapping to Group and Detect Audio-Based Cover Songs.
Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008

SenCast: Scalable multicast in wireless sensor networks.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Continuous answering holistic queries over sensor networks.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Spotting Significant Changing Subgraphs in Evolving Graphs.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Dominant Graph: An Efficient Indexing Structure to Answer Top-K Queries.
Proceedings of the 24th International Conference on Data Engineering, 2008

Detection of Shape Anomalies: A Probabilistic Approach Using Hidden Markov Models.
Proceedings of the 24th International Conference on Data Engineering, 2008

Pattern Matching over Cloaked Time Series.
Proceedings of the 24th International Conference on Data Engineering, 2008

Similarity Search in Arbitrary Subspaces Under Lp-Norm.
Proceedings of the 24th International Conference on Data Engineering, 2008

Multi-query Optimization for Distributed Similarity Query Processing.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 2008

A novel spectral coding in a large graph database.
Proceedings of the EDBT 2008, 2008

Indexing high-dimensional data in dual distance spaces: a symmetrical encoding approach.
Proceedings of the EDBT 2008, 2008

Probabilistic ranked queries in uncertain databases.
Proceedings of the EDBT 2008, 2008

Dynamic skyline queries in metric spaces.
Proceedings of the EDBT 2008, 2008

Summarization Graph Indexing: Beyond Frequent Structure-Based Approach.
Proceedings of the Database Systems for Advanced Applications, 2008

Speed up semantic search in p2p networks.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Gradient Boundary Detection for Time Series Snapshot Construction in Sensor Networks.
IEEE Trans. Parallel Distributed Syst., 2007

Interactive high-dimensional index for large Chinese calligraphic character databases.
ACM Trans. Asian Lang. Inf. Process., 2007

Indexable PLA for Efficient Similarity Search.
Proceedings of the 33rd International Conference on Very Large Data Bases, 2007

Mining Frequent Trajectory Patterns for Activity Monitoring Using Radio Frequency Tag Arrays.
Proceedings of the Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2007), 2007

Collaborative Search in Large-scale Unstructured Peer-to-Peer Networks.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007

A push-based prefetching for cooperative caching RAM Grid.
Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007

Similarity Match Over High Speed Time-Series Streams.
Proceedings of the 23rd International Conference on Data Engineering, 2007

A General Cost Model for Dimensionality Reduction in High Dimensional Spaces.
Proceedings of the 23rd International Conference on Data Engineering, 2007

A Weighted Moving Average-based Approach for Cleaning Sensor Data.
Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), 2007

Non-Threshold based Event Detection for 3D Environment Monitoring in Sensor Networks.
Proceedings of the 27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), 2007

Continuously Maintaining Sliding Window Skylines in a Sensor Network.
Proceedings of the Advances in Databases: Concepts, 2007

Similarity Joins of Text with Incomplete Information Formats.
Proceedings of the Advances in Databases: Concepts, 2007

Approximate Similarity Search over Multiple Stream Time Series.
Proceedings of the Advances in Databases: Concepts, 2007

Top-k subgraph matching query in a large graph.
Proceedings of the First Ph.D. Workshop in CIKM, 2007

Probabilistic correlation-based similarity measure of unstructured records.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

Optimal proactive caching in peer-to-peer network: analysis and application.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

2006
BBS: An Energy Efficient Localized Routing Scheme for Query Processing in Wireless Sensor Networks.
Int. J. Distributed Sens. Networks, 2006

Efficient Methods on Predictions for Similarity Search over Stream Time Series.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Contour map matching for event detection in sensor networks.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006

Enhancing Edit Distance on Real Sequences Filters using Histogram Distance on Fixed Reference Ordering.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Virtual Surrounding Face Geocasting with Guaranteed Message Delivery for Ad Hoc and Sensor Networks.
Proceedings of the 14th IEEE International Conference on Network Protocols, 2006

Mixed Type Audio Classification with Support Vector Machine.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

HAND: An Overlay Optimization Algorithm in Peer-to-Peer Systems.
Proceedings of the High Performance Computing and Communications, 2006

Portlet-based Portal Design for Grid Systems.
Proceedings of the Grid and Cooperative Computing Workshops, 2006

Answering Constrained k-NN Queries in Unstructured P2P Systems.
Proceedings of the Databases, 2006

In-network Outlier Cleaning for Data Collection in Sensor Networks.
Proceedings of the First Int'l VLDB Workshop on Clean Databases, 2006

Towards interactive indexing for large Chinese calligraphic character databases.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
Using Multi-Scale Histograms to Answer Pattern Existence and Shape Match Queries.
Proceedings of the 17th International Conference on Scientific and Statistical Database Management, 2005

Robust and Fast Similarity Search for Moving Object Trajectories.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2005

Localized routing trees for query processing in sensor networks.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

2004
MINDEX: An efficient index structure for salient-object-based queries in video databases.
Multim. Syst., 2004

On The Marriage of Lp-norms and Edit Distance.
Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004

Symbolic representation and retrieval of moving object trajectories.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

Multi-Scale Histograms for Answering Queries over Time Series Data.
Proceedings of the 20th International Conference on Data Engineering, 2004

Recent Advances in CFD Grid Application Platform.
Proceedings of the 2004 IEEE International Conference on Services Computing (SCC 2004), 2004

2003
Incorporating Audio Cues into Dialog and Action Scene Extraction.
Proceedings of the Storage and Retrieval for Media Databases 2003, 2003

Modeling Video Data for Content Based Queries: Extending the DISIMA Image Data Model.
Proceedings of the 9th International Conference on Multi-Media Modeling, 2003

2002
A Multi-Level Index Structure for Video Databases.
Proceedings of the MIS 2002, International Workshop on Multimedia Information Systems, October 10, 2002

Modeling of video objects in a video databases.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Rule-based scene extraction from video.
Proceedings of the 2002 International Conference on Image Processing, 2002


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