Xiang Zhao

Orcid: 0000-0001-6339-0219

Affiliations:
  • National University of Defense Technology, Science and Technology on Information Systems Engineering Laboratory, Changsha, China
  • University of New South Wales, Australia (PhD 2013)


According to our database1, Xiang Zhao authored at least 134 papers between 2009 and 2024.

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Bibliography

2024
Multiplex heterogeneous network representation learning with unipath based global awareness neural network.
Future Gener. Comput. Syst., January, 2024

Open Knowledge Base Canonicalization with Multi-task Learning.
CoRR, 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

Few-shot named entity recognition with hybrid multi-prototype learning.
World Wide Web (WWW), September, 2023

(p,q)-biclique counting and enumeration for large sparse bipartite graphs.
VLDB J., September, 2023

$\mathsf{PF\text{-}HIN}$:Pre-Training for Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng., August, 2023

A survey of continuous subgraph matching for dynamic graphs.
Knowl. Inf. Syst., March, 2023

Multi-Model Fusion-Based Hierarchical Extraction for Chinese Epidemic Event.
Data Sci. Eng., March, 2023

AugPrompt: Knowledgeable augmented-trigger prompt for few-shot event classification.
Inf. Process. Manag., 2023

Active Temporal Knowledge Graph Alignment.
Int. J. Semantic Web Inf. Syst., 2023

Node Importance Estimation with Multiview Contrastive Representation Learning.
Int. J. Intell. Syst., 2023

A Brief Overview of Universal Sentence Representation Methods: A Linguistic View.
ACM Comput. Surv., 2023

Open Knowledge Base Canonicalization with Multi-task Unlearning.
CoRR, 2023

Graph Self-supervised Learning with Augmentation-aware Contrastive Learning.
Proceedings of the ACM Web Conference 2023, 2023

Personalized Federated Relation Classification over Heterogeneous Texts.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Discovering Frequency Bursting Patterns in Temporal Graphs.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Mining Top-k Frequent Patterns over Streaming Graphs.
Proceedings of the Database Systems for Advanced Applications, 2023

Discovering Persistent Subgraph Patterns over Streaming Graphs.
Proceedings of the Database Systems for Advanced Applications, 2023

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

MGICL: Multi-Grained Interaction Contrastive Learning for Multimodal Named Entity Recognition.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-granularity Temporal Question Answering over Knowledge Graphs.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Scalable Representation Learning for Dynamic Heterogeneous Information Networks via Metagraphs.
ACM Trans. Inf. Syst., 2022

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

Adversarial Cross-domain Community Question Retrieval.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022

Continuous multi-query optimization for subgraph matching over dynamic graphs.
Semantic Web, 2022

Temporal knowledge graph question answering via subgraph reasoning.
Knowl. Based Syst., 2022

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

Complex Question Answering Over Temporal Knowledge Graphs.
Proceedings of the Web Information Systems Engineering - WISE 2022, 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

Discovering Bursting Patterns over Streaming Graphs.
Proceedings of the Database Systems for Advanced Applications, 2022

Handling RDF Streams: Harmonizing Subgraph Matching, Adaptive Incremental Maintenance, and Matching-free Updates Together.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Learning Hypersphere for Few-shot Anomaly Detection on Attributed Networks.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

SpCQL: A Semantic Parsing Dataset for Converting Natural Language into Cypher.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Few-Shot Relational Triple Extraction with Perspective Transfer Network.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Extract-Select: A Span Selection Framework for Nested Named Entity Recognition with Generative Adversarial Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Simplifying Knowledge-Aware Aggregation for Knowledge Graph Collaborative Filtering.
Proceedings of the Web Information Systems and Applications, 2022

2021
Continuous matching of evolving patterns over dynamic graph data.
World Wide Web, 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

Caps-OWKG: a capsule network model for open-world knowledge graph.
Int. J. Mach. Learn. Cybern., 2021

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

DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph.
Neurocomputing, 2021

ER-SQL: Learning enhanced representation for Text-to-SQL using table contents.
Neurocomputing, 2021

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

Few-shot text classification by leveraging bi-directional attention and cross-class knowledge.
Sci. China Inf. Sci., 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

Relation-aware Bidirectional Path Reasoning for Commonsense Question Answering.
Proceedings of the 25th Conference on Computational Natural Language Learning, 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
Block-Aware Item Similarity Models for Top-<i>N</i> Recommendation.
ACM Trans. Inf. Syst., 2020

Local Variational Feature-Based Similarity Models for Recommending Top-<i>N</i> New Items.
ACM Trans. Inf. Syst., 2020

Item Cold-Start Recommendation with Personalized Feature Selection.
J. Comput. Sci. Technol., 2020

Domain relation extraction from noisy Chinese texts.
Neurocomputing, 2020

Exploring Heterogeneous Information Networks via Pre-Training.
CoRR, 2020

A Sentence-Based Circular Reasoning Model in Multi-Hop Reading Comprehension.
IEEE Access, 2020

A Graph-Based Approach Towards Risk Alerting for COVID-19 Spread.
Proceedings of the Software Foundations for Data Interoperability and Large Scale Graph Data Analytics, 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

Chinese Text Classification via Bidirectional Lattice LSTM.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Measuring Triplet Trustworthiness in Knowledge Graphs via Expanded Relation Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2020

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

sf GQA<sub>sf RDF</sub>: A Graph-Based Approach Towards Efficient SPARQL Query Answering.
Proceedings of the Database Systems for Advanced Applications, 2020

Cross-Graph Representation Learning for Unsupervised Graph Alignment.
Proceedings of the Database Systems for Advanced Applications, 2020

Joint Event Extraction with Hierarchical Policy Network.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Seasonal-Periodic Subgraph Mining in Temporal Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Towards Knowledge Graphs Federations: Issues and Technologies.
Proceedings of the Web and Big Data. APWeb-WAIM 2020 International Workshops, 2020

Multi-hop Reading Comprehension Incorporating Sentence-Based Reasoning.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

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

HAMNER: Headword Amplified Multi-Span Distantly Supervised Method for Domain Specific Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Recursively Binary Modification Model for Nested Named Entity Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Near-accurate Multiset Reconciliation.
IEEE Trans. Knowl. Data Eng., 2019

Efficient Mining of Frequent Patterns on Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2019

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

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

M-HIN: Complex Embeddings for Heterogeneous Information Networks via Metagraphs.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

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

Near-Accurate Multiset Reconciliation (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Learning to Select User-Specific Features for Top-N Recommendation of New Items.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 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

On Continuously Matching of Evolving Graph Patterns.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Jointly Extracting Multiple Triplets with Multilayer Translation Constraints.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Antonym-Synonym Classification Based on New Sub-Space Embeddings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Efficient structure similarity searches: a partition-based approach.
VLDB J., 2018

SISE: Self-Updating of Indoor Semantic Floorplans for General Entities.
IEEE Trans. Mob. Comput., 2018

Network Embedding via a Bi-Mode and Deep Neural Network Model.
Symmetry, 2018

Knowledge Graph Representation via Similarity-Based Embedding.
Sci. Program., 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

GTrans: Generic Knowledge Graph Embedding via Multi-State Entities and Dynamic Relation Spaces.
IEEE Access, 2018

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

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding.
IEEE Access, 2018

TransPath: Representation Learning for Heterogeneous Information Networks via Translation Mechanism.
IEEE Access, 2018

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

2017
Unsupervised Metric Fusion Over Multiview Data by Graph Random Walk-Based Cross-View Diffusion.
IEEE Trans. Neural Networks Learn. Syst., 2017

Two-phase network generation towards within-network classifiers evaluation.
Knowl. Based Syst., 2017

Fast top-k similarity join for SimRank.
Inf. Sci., 2017

Local Top-N Recommendation via Refined Item-User Bi-Clustering.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

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

A Robust Approach for Multivariate Time Series Forecasting.
Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Relation classification using revised convolutional neural networks.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Representation Learning of Large-Scale Knowledge Graphs via Entity Feature Combinations.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

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

Content-Based Top-N Recommendation using Heterogeneous Relations.
CoRR, 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

Finding Top- k Places for Group Social Activities.
Proceedings of the Web Technologies and Applications, 2016

Content-Based Top-N Recommendation Using Heterogeneous Relations.
Proceedings of the Databases Theory and Applications, 2016

2015
Towards Frequent Subgraph Mining on Single Large Uncertain Graphs.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Scalable collective spatial keyword query.
Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Towards Scale-out Capability on Social Graphs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Encoding Document Semantic into Binary Codes Space.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

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

Practising Scalable Graph Similarity Joins in MapReduce.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014

A Negative-Aware and Rating-Integrated Recommendation Algorithm Based on Bipartite Network Projection.
Proceedings of the Databases Theory and Applications, 2014

2013
Efficient processing of graph similarity queries with edit distance constraints.
VLDB J., 2013

A Partition-Based Approach to Structure Similarity Search.
Proc. VLDB Endow., 2013

Towards semantic comparison of multi-granularity process traces.
Knowl. Based Syst., 2013

Max-sum diversification on image ranking with non-uniform matroid constraints.
Neurocomputing, 2013

Probabilistic k-Skyband Operator over Sliding Windows.
Proceedings of the Web-Age Information Management - 14th International Conference, 2013

CTrace: semantic comparison of multi-granularity process traces.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2013

An Optimization Method for Proportionally Diversifying Search Results.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

On Efficient Graph Substructure Selection.
Proceedings of the Database Systems for Advanced Applications, 2013

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

Probabilistic Top-k Dominating Query over Sliding Windows.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
Efficient Graph Similarity Joins with Edit Distance Constraints.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

2009
A Memory-Saving and Efficient Data Transformation Technique for Mixed Data Sets Visualization.
Proceedings of the 13th International Conference on Information Visualisation, 2009


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