Jiuyang Tang

Orcid: 0009-0005-1786-9831

According to our database1, Jiuyang Tang authored at least 71 papers between 2004 and 2025.

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Bibliography

2025
Open knowledge graph completion with negative-aware representation learning and multi-source reliability inference.
Inf. Fusion, 2025

2024
Hyperedge Graph Contrastive Learning.
IEEE Trans. Knowl. Data Eng., December, 2024

Knowledge Graph Alignment Under Scarce Supervision: A General Framework With Active Cross-View Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

CL&CD: Contrastive Learning and Cluster Description for Zero-Shot Relation Extraction.
Knowl. Based Syst., 2024

Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study [Extended Abstract].
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Zero-shot Knowledge Graph Question Generation via Multi-agent LLMs and Small Models Synthesis.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Matching Knowledge Graphs in Entity Embedding Spaces: An Experimental Study.
IEEE Trans. Knowl. Data Eng., December, 2023

Cross-view graph contrastive learning with hypergraph.
Inf. Fusion, November, 2023

Interpretable Fake News Detection with Graph Evidence.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Negation: An Effective Method to Generate Hard Negatives.
Proceedings of the Web and Big Data. APWeb-WAIM 2023 International Workshops, 2023

Knowledge Graph Completion with Fused Factual and Commonsense Information.
Proceedings of the Web Information Systems and Applications, 2023

Entity Alignment - Concepts, Recent Advances and Novel Approaches
Springer, ISBN: 978-981-99-4249-7, 2023

2022
Contrastive heterogeneous graphs learning for multi-hop machine reading comprehension.
World Wide Web, 2022

On entity alignment at scale.
VLDB J., 2022

An Experimental Study of State-of-the-Art Entity Alignment Approaches.
IEEE Trans. Knowl. Data Eng., 2022

Toward Entity Alignment in the Open World: An Unsupervised Approach with Confidence Modeling.
Data Sci. Eng., 2022

PTAU: Prompt Tuning for Attributing Unanswerable Questions.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Iterative Deep Graph Learning with Local Feature Augmentation for Network Alignment.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Effectively Filtering Images for Better Multi-modal Knowledge Graph.
Proceedings of the Web and Big Data. APWeb-WAIM 2022 International Workshops, 2022

2021
To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs.
World Wide Web, 2021

Reinforcement Learning-based Collective Entity Alignment with Adaptive Features.
ACM Trans. Inf. Syst., 2021

Knowledge graph embedding by relational and entity rotation.
Knowl. Based Syst., 2021

Multi-modal entity alignment in hyperbolic space.
Neurocomputing, 2021

Learning Discriminative Neural Representations for Event Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Towards Entity Alignment in the Open World: An Unsupervised Approach.
Proceedings of the Database Systems for Advanced Applications, 2021

Reinforced Active Entity Alignment.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

MOOPer: A Large-Scale Dataset of Practice-Oriented Online Learning.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2020
Degree-Aware Alignment for Entities in Tail.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

CLEEK: A Chinese Long-text Corpus for Entity Linking.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Collective Entity Alignment via Adaptive Features.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Paperant: Key Elements Generation with New Ideas.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
Measuring Entity Relatedness via Entity and Text Joint Embedding.
Neural Process. Lett., 2019

Collective Embedding-based Entity Alignment via Adaptive Features.
CoRR, 2019

Iterative Representation Learning for Entity Alignment Leveraging Textual Information.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Iterative Entity Alignment with Improved Neural Attribute Embedding.
Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2019) Co-located with the 16th Extended Semantic Web Conference 2019 (ESWC 2019), 2019

Relevance-Based Entity Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Improving POI Recommendation via Dynamic Tensor Completion.
Sci. Program., 2018

Collective List-Only Entity Linking: A Graph-Based Approach.
IEEE Access, 2018

Entity Linking on Chinese Microblogs via Deep Neural Network.
IEEE Access, 2018

Efficient and Accurate Traffic Flow Prediction via Incremental Tensor Completion.
IEEE Access, 2018

Named Entity Disambiguation via Probabilistic Graphical Model with Embedding Features.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Occupancy-aided energy disaggregation.
Comput. Networks, 2017

Efficient and Accurate Traffic Flow Prediction via Fast Dynamic Tensor Completion.
Proceedings of the Traffic Mining Applied to Police Activities, 2017

2016
A simple and robust approach to energy disaggregation in the presence of outliers.
Sustain. Comput. Informatics Syst., 2016

MinNet: toward more intelligent smart home energy management systems with fewer sensors.
Int. J. Sens. Networks, 2016

Taxi-taking recommendation using real-time trajectories: an online query based approach.
Comput. Syst. Sci. Eng., 2016

Frequent Subgraph Mining Based on Pregel.
Comput. J., 2016

Knowledge Representation Learning via Dynamic Relation Spaces.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015
Analyzing online news dissemination via structure learning: An experimental view.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

2014
From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data.
IEEE Trans. Smart Grid, 2014

Plug and Play! A Simple, Universal Model for Energy Disaggregation.
CoRR, 2014

A simple model-driven approach to energy disaggregation.
Proceedings of the 2014 IEEE International Conference on Smart Grid Communications, 2014

Improving Performance of Graph Similarity Joins Using Selected Substructures.
Proceedings of the Database Systems for Advanced Applications, 2014

An Appliance-Driven Approach to Detection of Corrupted Load Curve Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Is My Electricity Bill Accurate? A Model-Driven Approach to Corrupted Load Data Identification.
CoRR, 2013

From Landscape to Portrait: A New Approach for Load Curve Data Analysis and Cleansing.
CoRR, 2013

Minimum-latency data aggregation in duty-cycled wireless sensor networks under physical interference model.
Proceedings of the 22nd Wireless and Optical Communication Conference, 2013

UFO: A United Framework for Target Localization in Wireless Sensor Networks.
Proceedings of the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2013

Provenance comparison for large-scale knowledge discovery.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Core-based community evolution in mobile social networks.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Rethinking of the Uncertainty: A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks.
KSII Trans. Internet Inf. Syst., 2012

A Fault-Tolerant Target-Tracking Strategy Based on Unreliable Sensing in Wireless Sensor Networks.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

Target Tracking with Pairwise Uncertainty in Wireless Sensor Networks: Qualitatively and Quantitatively.
Proceedings of the 2012 IEEE International Conference on Cluster Computing Workshops, 2012

2011
P2P-based multidimensional indexing methods: A survey.
J. Syst. Softw., 2011

A Prediction-based Energy-conserving Approximate Storage and Query Processing Schema in Object-Tracking Sensor Networks.
KSII Trans. Internet Inf. Syst., 2011

2010
A feedback double filtering based model for evaluating reputation in Peer-to-Peer networks.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

2008
Advanced Star Coordinates.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

2006
Self-Organizing Service-Oriented Peer Communities.
Proceedings of the Advanced International Conference on Telecommunications and International Conference on Internet and Web Applications and Services (AICT/ICIW 2006), 2006

2005
An Agent-Based P2P System to Distributed Knowledge Management.
Proceedings of the Self-Organization and Autonomic Informatics (I), 2005

An Algebra for Capability Object Interoperability of Heterogeneous Data Integration Systems.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
Capabilities-Based Query Planning in Mediator Systems.
Proceedings of the 18th International Parallel and Distributed Processing Symposium (IPDPS 2004), 2004


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