Ye Yuan

Orcid: 0000-0002-0247-9866

Affiliations:
  • Beijing Institute of Technology, China
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China (former)
  • Northeastern University, School of Computer Science and Engineering, Shenyang, China (PhD 2011)


According to our database1, Ye Yuan authored at least 232 papers between 2009 and 2024.

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Bibliography

2024
DREAM: Domain-Agnostic Reverse Engineering Attributes of Black-Box Model.
IEEE Trans. Knowl. Data Eng., December, 2024

Federated Feature Augmentation and Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Robust Knowledge Adaptation for Dynamic Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., November, 2024

Robust Data Inference and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing.
IEEE/ACM Trans. Netw., October, 2024

Cross-domain NER in the data-poor scenarios for human mobility knowledge.
GeoInformatica, October, 2024

LakeCompass: An End-to-End System for Table Maintenance, Search and Analysis in Data Lakes.
Proc. VLDB Endow., August, 2024

AStore: Uniformed Adaptive Learned Index and Cache for RDMA-Enabled Key-Value Store.
IEEE Trans. Knowl. Data Eng., July, 2024

Towards Very Deep Representation Learning for Subspace Clustering.
IEEE Trans. Knowl. Data Eng., July, 2024

nsDB: Architecting the Next Generation Database by Integrating Neural and Symbolic Systems (Vision).
Proc. VLDB Endow., July, 2024

Hybrid concurrency control protocol for data sharing among heterogeneous blockchains.
Frontiers Comput. Sci., June, 2024

Self-Supervised Graph Information Bottleneck for Multiview Molecular Embedding Learning.
IEEE Trans. Artif. Intell., April, 2024

LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes.
Proc. VLDB Endow., April, 2024

Coresets for fast causal discovery with the additive noise model.
Pattern Recognit., April, 2024

Efficiently estimating node influence through group sampling over large graphs.
World Wide Web (WWW), March, 2024

Deep Unsupervised Active Learning on Learnable Graphs.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

MisDetect: Iterative Mislabel Detection using Early Loss.
Proc. VLDB Endow., February, 2024

CGgraph: An Ultra-fast Graph Processing System on Modern Commodity CPU-GPU Co-processor.
Proc. VLDB Endow., February, 2024

Learning to Generate Parameters of ConvNets for Unseen Image Data.
IEEE Trans. Image Process., 2024

GPPR: Geo-distributed Personalized PageRank Algorithm.
Int. J. Softw. Informatics, 2024

ANNProof: Building a verifiable and efficient outsourced approximate nearest neighbor search system on blockchain.
Future Gener. Comput. Syst., 2024

Multivariate Time Series Cleaning under Speed Constraints.
CoRR, 2024

Fira: Can We Achieve Full-rank Training of LLMs Under Low-rank Constraint?
CoRR, 2024

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models.
CoRR, 2024

Image Segmentation in Foundation Model Era: A Survey.
CoRR, 2024

Macformer: Transformer with Random Maclaurin Feature Attention.
CoRR, 2024

Influence Maximization in Hypergraphs by Stratified Sampling for Efficient Generation of Reverse Reachable Sets.
CoRR, 2024

Counting Cohesive Subgraphs with Hereditary Properties.
CoRR, 2024

Privacy-Enhanced Database Synthesis for Benchmark Publishing.
CoRR, 2024

IDE: A System for Iterative Mislabel Detection.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Adaptive Decoupled Prompting for Class Incremental Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

AutoGraph: Enabling Visual Context via Graph Alignment in Open Domain Multi-Modal Dialogue Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Importance-aware Shared Parameter Subspace Learning for Domain Incremental Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ITPNet: Towards Instantaneous Trajectory Prediction for Autonomous Driving.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Partial Order Based Transaction Processing for Permissioned Blockchains.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Across Images and Graphs for Question Answering.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Separation Is for Better Reunion: Data Lake Storage at Huawei.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Feed: Towards Personalization-Effective Federated Learning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Authenticated Subgraph Matching in Hybrid-Storage Blockchains.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Authenticated Keyword Search on Large-Scale Graphs in Hybrid-Storage Blockchains.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cooperative Global Path Planning for Multiple Platforms.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Cross Online Ride-Sharing for Multiple-Platform Cooperations in Spatial Crowdsourcing.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Mitigating Data Scarcity in Supervised Machine Learning Through Reinforcement Learning Guided Data Generation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GShop: Towards Flexible Pricing for Graph Statistics.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Label Constrained Reachability Queries on Time Dependent Graphs.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

FedSig: A Federated Graph Augmentation for Class-Imbalanced Node Classification.
Proceedings of the Database Systems for Advanced Applications, 2024

On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Noise-Resistant Graph Neural Networks for Session-Based Recommendation.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
HANM: Hierarchical Additive Noise Model for Many-to-One Causality Discovery.
IEEE Trans. Knowl. Data Eng., December, 2023

TVM: A Tile-based Video Management Framework.
Proc. VLDB Endow., December, 2023

Efficiently Counting Triangles for Hypergraph Streams by Reservoir-Based Sampling.
IEEE Trans. Knowl. Data Eng., November, 2023

Densest Periodic Subgraph Mining on Large Temporal Graphs.
IEEE Trans. Knowl. Data Eng., November, 2023

Patient Health Representation Learning via Correlational Sparse Prior of Medical Features.
IEEE Trans. Knowl. Data Eng., November, 2023

An Experimental Evaluation of Anomaly Detection in Time Series.
Proc. VLDB Endow., November, 2023

Meta Auxiliary Learning for Top-K Recommendation.
IEEE Trans. Knowl. Data Eng., October, 2023

Competition and Cooperation: Global Task Assignment in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., October, 2023

HyperISO: Efficiently Searching Subgraph Containment in Hypergraphs.
IEEE Trans. Knowl. Data Eng., August, 2023

Stable Subgraph Isomorphism Search in Temporal Networks.
IEEE Trans. Knowl. Data Eng., June, 2023

Multi-scale image-text matching network for scene and spatio-temporal images.
Future Gener. Comput. Syst., May, 2023

OsmoticGate: Adaptive Edge-Based Real-Time Video Analytics for the Internet of Things.
IEEE Trans. Computers, April, 2023

Maximal Quasi-Cliques Mining in Uncertain Graphs.
IEEE Trans. Big Data, February, 2023

Unsupervised active learning with loss prediction.
Neural Comput. Appl., February, 2023

Group homophily based facility location selection in geo-social networks.
World Wide Web (WWW), January, 2023

Core Decomposition on Uncertain Graphs Revisited.
IEEE Trans. Knowl. Data Eng., 2023

Self-Supervised Information Bottleneck for Deep Multi-View Subspace Clustering.
IEEE Trans. Image Process., 2023

iQuery: A Trustworthy and Scalable Blockchain Analytics Platform.
IEEE Trans. Dependable Secur. Comput., 2023

ACTA: Autonomy and Coordination Task Assignment in Spatial Crowdsourcing Platforms.
Proc. VLDB Endow., 2023

Boosting question answering over knowledge graph with reward integration and policy evaluation under weak supervision.
Inf. Process. Manag., 2023

Efficient Maximum Fair Clique Search over Large Networks.
CoRR, 2023

DREAM: Domain-free Reverse Engineering Attributes of Black-box Model.
CoRR, 2023

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction.
CoRR, 2023

An Effective Framework for Enhancing Query Answering in a Heterogeneous Data Lake.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Subgraph Search over Neural-Symbolic Graphs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MuSE: A Multi-scale Emotional Flow Graph Model for Empathetic Dialogue Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Coreset Selection with Cluster-based Methods.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficiently Sampling and Estimating Hypergraphs By Hybrid Random Walk.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Exploring both Individuality and Cooperation for Air-Ground Spatial Crowdsourcing by Multi-Agent Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Batch-Based Cooperative Task Assignment in Spatial Crowdsourcing.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Explainable Hyperlink Prediction: A Hypergraph Edit Distance-Based Approach.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM (Extended abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Neighborhood Skyline on Graphs: Concepts, Algorithms and Applications.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Air-Ground Spatial Crowdsourcing with UAV Carriers by Geometric Graph Convolutional Multi-Agent Deep Reinforcement Learning.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DALedger: Towards High-Performance Transaction Processing for Collaborative Decentralized Applications.
Proceedings of the Database Systems for Advanced Applications, 2023

A Scalable Query Pricing Framework for Incomplete Graph Data.
Proceedings of the Database Systems for Advanced Applications, 2023

Density Ratio Peak Clustering.
Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022
Key-core: cohesive keyword subgraph exploration in large graphs.
World Wide Web, 2022

Continuous Trajectory Similarity Search for Online Outlier Detection.
IEEE Trans. Knowl. Data Eng., 2022

Periodic Communities Mining in Temporal Networks: Concepts and Algorithms.
IEEE Trans. Knowl. Data Eng., 2022

Time-Aware Location Prediction by Convolutional Area-of-Interest Modeling and Memory-Augmented Attentive LSTM.
IEEE Trans. Knowl. Data Eng., 2022

Distributed Multimodal Path Queries.
IEEE Trans. Knowl. Data Eng., 2022

Approximately Counting Butterflies in Large Bipartite Graph Streams.
IEEE Trans. Knowl. Data Eng., 2022

Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams.
IEEE Trans. Knowl. Data Eng., 2022

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

An Uncertainty-based Neural Network for Explainable Trajectory Segmentation.
ACM Trans. Intell. Syst. Technol., 2022

Structure Guided Deep Neural Network for Unsupervised Active Learning.
IEEE Trans. Image Process., 2022

On Robust Grouping Active Learning.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Mining Stable Communities in Temporal Networks by Density-Based Clustering.
IEEE Trans. Big Data, 2022

Edge-based Local Push for Personalized PageRank.
Proc. VLDB Endow., 2022

Mining Bursting Core in Large Temporal Graph.
Proc. VLDB Endow., 2022

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

A structure similarity based adaptive sampling method for time-dependent graph embedding.
Knowl. Based Syst., 2022

Unrestricted multi-hop reasoning network for interpretable question answering over knowledge graph.
Knowl. Based Syst., 2022

Cracking in-memory database index: A case study for Adaptive Radix Tree index.
Inf. Syst., 2022

Exploring Heterogeneous Data Lake based on Unified Canonical Graphs.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

FreeKD: Free-direction Knowledge Distillation for Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources.
Proceedings of the IEEE INFOCOM 2022, 2022

AoI-minimal UAV Crowdsensing by Model-based Graph Convolutional Reinforcement Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Gait Time Parameter Analysis-Based Rehabilitation Evaluation System of Lower Limb Motion Function.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022

Efficient Top-k Ego-Betweenness Search.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Continuous Trajectory Similarity Search for Online Outlier Detection (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Consistent Subgraph Matching over Large Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Reachability-Driven Influence Maximization in Time-dependent Road-social Networks.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented and Distributed Multi-Agent Deep Reinforcement Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Colorful h-star Core Decomposition.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Core Decomposition on Uncertain Graphs Revisited (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

GQP: A Framework for Scalable and Effective Graph Query-based Pricing.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

CASA-Net: A Context-Aware Correlation Convolutional Network for Scale-Adaptive Crack Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Online Global Query Planning for Dynamic Road Networks.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

Causal Effect Estimation Using Variational Information Bottleneck.
Proceedings of the Web Information Systems and Applications, 2022

2021
ExactSim: benchmarking single-source SimRank algorithms with high-precision ground truths.
VLDB J., 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

Deep Unsupervised Active Learning via Matrix Sketching.
IEEE Trans. Image Process., 2021

Data-Driven Multiobjective Predictive Optimal Control of Refining Process With Non-Gaussian Stochastic Distribution Dynamics.
IEEE Trans. Ind. Informatics, 2021

PoBery: Possibly-complete Big Data Queries with Probabilistic Data Placement and Scanning.
Trans. Data Sci., 2021

Unsupervised Learning of Depth from Monocular Videos Using 3D-2D Corresponding Constraints.
Remote. Sens., 2021

Subgraph Matching over Graph Federation.
Proc. VLDB Endow., 2021

Graph cells: Top-k structural-textual aggregated query over information networks.
Inf. Sci., 2021

Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning.
Inf. Sci., 2021

Node Embedding Research Over Temporal Graph.
Int. J. Softw. Informatics, 2021

Local Semantic Structure Captured and Instance Discriminated by Unsupervised Hashing.
Int. J. Softw. Informatics, 2021

Classification of malware for self-driving systems.
Neurocomputing, 2021

Approximate Graph Propagation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Constrained Route Planning over Large Multi-Modal Time-Dependent Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Modeling Citywide Crowd Flows using Attentive Convolutional LSTM.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Multi-attributed Community Search in Road-social Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Online Route Planning over Time-Dependent Road Networks.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

LogLog Filter: Filtering Cold Items within a Large Range over High Speed Data Streams.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Influence Maximization Using User Connectivity Guarantee in Social Networks.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Keyword-Centric Community Search over Large Heterogeneous Information Networks.
Proceedings of the Database Systems for Advanced Applications, 2021

Multi-job Merging Framework and Scheduling Optimization for Apache Flink.
Proceedings of the Database Systems for Advanced Applications, 2021

Scaling Up Distance-generalized Core Decomposition.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

LRSC: Learning Representations for Subspace Clustering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Unsupervised Active Learning via Subspace Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Graph simulation on large scale temporal graphs.
GeoInformatica, 2020

Annotating semantic tags of locations in location-based social networks.
GeoInformatica, 2020

Scaling Up Distanced-generalized Core Decomposition.
CoRR, 2020

Rising Star Evaluation Based on Extreme Learning Machine in Geo-Social Networks.
Cogn. Comput., 2020

Exact Single-Source SimRank Computation on Large Graphs.
Proceedings of the 2020 International Conference on Management of Data, 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

Scalable Graph Neural Networks via Bidirectional Propagation.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Deep Unsupervised Active Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Curiosity-Driven Energy-Efficient Worker Scheduling in Vehicular Crowdsourcing: A Deep Reinforcement Learning Approach.
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

An Effective and Efficient Re-ranking Framework for Social Image Search.
Proceedings of the Database Systems for Advanced Applications, 2020

Effective and Efficient Community Search in Directed Graphs Across Heterogeneous Social Networks.
Proceedings of the Databases Theory and Applications, 2020

2019
PrivSem: Protecting location privacy using semantic and differential privacy.
World Wide Web, 2019

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

Constrained Shortest Path Query in a Large Time-Dependent Graph.
Proc. VLDB Endow., 2019

Who Should Be Invited to My Party: A Size-Constrained k-Core Problem in Social Networks.
J. Comput. Sci. Technol., 2019

Big graph classification frameworks based on Extreme Learning Machine.
Neurocomputing, 2019

Time-Dependent Graphs: Definitions, Applications, and Algorithms.
Data Sci. Eng., 2019

Mining Bursting Communities in Temporal Graphs.
CoRR, 2019

LDPart: Effective Location-Record Data Publication via Local Differential Privacy.
IEEE Access, 2019

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

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

Mining Periodic Cliques in Temporal 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

Local Experts Finding Across Multiple Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Accelerating Hybrid Transactional/Analytical Processing Using Consistent Dual-Snapshot.
Proceedings of the Database Systems for Advanced Applications, 2019

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

Improving the multimodal probabilistic semantic model by ELM classifiers.
J. Frankl. Inst., 2018

A novel multimodal retrieval model based on ELM.
Neurocomputing, 2018

Trust-Aware Personalized Route Query Using Extreme Learning Machine in Location-Based Social Networks.
Cogn. Comput., 2018

Group Identity Matching Across Heterogeneous Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Consistent Snapshot Algorithms for In-Memory Database Systems: Experiments and Analysis.
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

Rising Star Classification Based on Extreme Learning Machine.
Proceedings of ELM 2018, 2018

Personalized Geo-Social Group Queries in Location-Based Social Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

PrivTS: Differentially Private Frequent Time-Constrained Sequential Pattern Mining.
Proceedings of the Database Systems for Advanced Applications, 2018

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

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

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

Dynamic adjustment of hidden layer structure for convex incremental extreme learning machine.
Neurocomputing, 2017

An Effective Method for Community Search in Large Directed Attributed Graphs.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017

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

CBOS: Continuos bag of sentences for learning sentence embeddings.
Proceedings of the 2017 International Conference on Asian Language Processing, 2017

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

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

Discovering the k Representative Skyline Over a Sliding Window.
IEEE Trans. Knowl. Data Eng., 2016

Splitting anonymization: a novel privacy-preserving approach of social network.
Knowl. Inf. Syst., 2016

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

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

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

A Novel High-Dimensional Index Method Based on the Mathematical Features.
Proceedings of the Big Data Computing and Communications - Second International Conference, 2016

Efficient Community Maintenance for Dynamic Social Networks.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Efficient distributed subgraph similarity matching.
VLDB J., 2015

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

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

An on-line sequential learning method in social networks for node classification.
Neurocomputing, 2015

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

Keyword search over probabilistic XML data.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Fuzzy keyword search over probabilistic XML data.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Extreme learning machine for classification over uncertain data.
Neurocomputing, 2014

Efficient Sampling Methods for Shortest Path Query over Uncertain Graphs.
Proceedings of the Database Systems for Advanced Applications, 2014

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

Nearest Keyword Search on Probabilistic XML Data.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

A Multimodal Multimedia Retrieval Model Based on pLSA.
Proceedings of the 11th Web Information System and Application Conference, 2014

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

Semantic concept detection for video based on extreme learning machine.
Neurocomputing, 2013

Efficient Probabilistic Skyline Query Processing in MapReduce.
Proceedings of the IEEE International Congress on Big Data, 2013

An Algorithm for Outlier Detection on Uncertain Data Stream.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Top-k query processing over uncertain data in distributed environments.
World Wide Web, 2012

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

A Novel Approach Towards Large Scale Cross-Media Retrieval.
J. Comput. Sci. Technol., 2012

Towards Large Scale Cross-Media Retrieval via Modeling Heterogeneous Information and Exploring an Efficient Indexing Scheme.
Proceedings of the Computational Visual Media - First International Conference, 2012

SRGSIS: a novel framework based on social relationship graph for social image search.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

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

An OS-ELM based distributed ensemble classification framework in P2P networks.
Neurocomputing, 2011

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

SISP: a new framework for searching the informative subgraph based on PSO.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
PeerLearning: A Content-Based e-Learning Material Sharing System Based on P2P Network.
World Wide Web, 2010

The Dynamic Bloom Filters.
IEEE Trans. Knowl. Data Eng., 2010

FISH: A Novel Peer-to-Peer Overlay Network Based on Hyper-deBruijn.
Proceedings of the Web-Age Information Management, 11th International Conference, 2010

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

Efficient Peer-to-Peer Similarity Query Processing for High-dimensional Data.
Proceedings of the Advances in Web Technologies and Applications, 2010

2009
An Efficient P2P Range Query Processing Approach for Multi-dimensional Uncertain Data.
Proceedings of the Database Systems for Advanced Applications, 2009


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