Jiaoyan Chen

Orcid: 0000-0003-4643-6750

According to our database1, Jiaoyan Chen authored at least 162 papers between 2010 and 2024.

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Bibliography

2024
Dataset Discovery and Exploration: A Survey.
ACM Comput. Surv., April, 2024

HGT: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding.
CoRR, 2024

The Power of Noise: Toward a Unified Multi-modal Knowledge Graph Representation Framework.
CoRR, 2024

A Language Model based Framework for New Concept Placement in Ontologies.
CoRR, 2024

Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.
CoRR, 2024

Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey.
CoRR, 2024

Embedding Ontologies via Incorporating Extensional and Intensional Knowledge.
CoRR, 2024

Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs.
CoRR, 2024

Language Models as Hierarchy Encoders.
CoRR, 2024

Knowledge-Aware Neuron Interpretation for Scene Classification.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Ontology-driven and weakly supervised rare disease identification from clinical notes.
BMC Medical Informatics Decis. Mak., December, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.
Dataset, December, 2023

Embracing ambiguity: Improving similarity-oriented tasks with contextual synonym knowledge.
Neurocomputing, October, 2023

An empirical study of pre-trained language models in simple knowledge graph question answering.
World Wide Web (WWW), September, 2023

Contextual semantic embeddings for ontology subsumption prediction.
World Wide Web (WWW), September, 2023

Datasets for Out-of-KB Mention Discovery with Entity Linking.
Dataset, August, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.
Dataset, August, 2023

Bio-ML: Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.
Dataset, July, 2023

Zero-Shot and Few-Shot Learning With Knowledge Graphs: A Comprehensive Survey.
Proc. IEEE, June, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.
Dataset, June, 2023

Ontology Enrichment from Texts (OET): A Biomedical Dataset for Concept Discovery and Placement.
Dataset, June, 2023

OntoLAMA: LAnguage Model Analysis for Ontology Subsumption Inference.
Dataset, March, 2023

Benchmarking knowledge-driven zero-shot learning.
J. Web Semant., 2023

Large Language Models and Knowledge Graphs: Opportunities and Challenges.
TGDK, 2023

Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities.
TGDK, 2023

An assertion and alignment correction framework for large scale knowledge bases.
Semantic Web, 2023

Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model.
CoRR, 2023

DeepOnto: A Python Package for Ontology Engineering with Deep Learning.
CoRR, 2023

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models.
CoRR, 2023

Knowledge-augmented Few-shot Visual Relation Detection.
CoRR, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment.
CoRR, 2023

Box<sup>2</sup>EL: Concept and Role Box Embeddings for the Description Logic EL++.
CoRR, 2023

Results of SemTab 2023.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2023

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment.
Proceedings of the Semantic Web - ISWC 2023, 2023

Exploring Large Language Models for Ontology Alignment.
Proceedings of the ISWC 2023 Posters, 2023


MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Relational Message Passing for Fully Inductive Knowledge Graph Completion.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Vision, Deduction and Alignment: An Empirical Study on Multi-Modal Knowledge Graph Alignment.
Proceedings of the IEEE International Conference on Acoustics, 2023

High Performance and Power Efficient Accelerator for Cloud Inference.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Subsumption Prediction for E-Commerce Taxonomies.
Proceedings of the Semantic Web - 20th International Conference, 2023

Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Data Quality Assessment in Mobile Crowdsensing by Utilizing Psychology Effect.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Class Lifelong Learning for Intent Detection via Structure Consolidation Networks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Trigger-Argument based Explanation for Event Detection.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Language Model Analysis for Ontology Subsumption Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Low-Resource Personal Attribute Prediction from Conversations.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DUET: Cross-Modal Semantic Grounding for Contrastive Zero-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.
Dataset, July, 2022

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.
Dataset, July, 2022

Improving OpenStreetMap missing building detection using few-shot transfer learning in sub-Saharan Africa.
Trans. GIS, 2022

Prediction of adverse biological effects of chemicals using knowledge graph embeddings.
Semantic Web, 2022

Automated clinical coding: what, why, and where we are?
npj Digit. Medicine, 2022

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid.
CoRR, 2022

Low-resource Personal Attribute Prediction from Conversation.
CoRR, 2022

Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge.
CoRR, 2022

Understanding Adverse Biological Effect Predictions Using Knowledge Graphs.
CoRR, 2022

Aspect-based Sentiment Classification with Sequential Cross-modal Semantic Graph.
CoRR, 2022

DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning.
CoRR, 2022

Ontology-Based and Weakly Supervised Rare Disease Phenotyping from Clinical Notes.
CoRR, 2022

Automated Clinical Coding: What, Why, and Where We Are?
CoRR, 2022

Contextual Semantic Embeddings for Ontology Subsumption Prediction.
CoRR, 2022

Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective.
CoRR, 2022


Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching.
Proceedings of the Semantic Web - ISWC 2022, 2022

Results of SemTab 2022.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching, 2022

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Disentangled Ontology Embedding for Zero-shot Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection.
Proceedings of the 11th International Joint Conference on Knowledge Graphs, 2022

BERTMap: A BERT-Based Ontology Alignment System.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Knowledge graph embeddings for dealing with concept drift in machine learning.
J. Web Semant., 2021

Explainable zero-shot learning via attentive graph convolutional network and knowledge graphs.
Semantic Web, 2021

OWL2Vec*: embedding of OWL ontologies.
Mach. Learn., 2021

Low-resource Learning with Knowledge Graphs: A Comprehensive Survey.
CoRR, 2021

K-ZSL: Resources for Knowledge-driven Zero-shot Learning.
CoRR, 2021

OntoZSL: Ontology-enhanced Zero-shot Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Biomedical ontology alignment with BERT.
Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Results of SemTab 2021.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021

Zero-Shot Visual Question Answering Using Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Ontology Clustering with OWL2Vec.
Proceedings of the Joint Proceedings of the 2nd International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021) & 6th International Workshop on Explainable Sentiment Mining and Emotion Detection (X-SENTIMENT 2021) co-located with co-located with 18th Extended Semantic Web Conference 2021, Hersonissos, Greece, June 6th, 2021

Augmenting Ontology Alignment by Semantic Embedding and Distant Supervision.
Proceedings of the Semantic Web - 18th International Conference, 2021

PRASEMap: A Probabilistic Reasoning and Semantic Embedding based Knowledge Graph Alignment System.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Knowledge-Based Explanations for Transfer Learning.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Optimal Receiver Placement for <i>K</i>-barrier Coverage in Passive Bistatic Radar Sensor Networks.
ACM Trans. Internet Techn., 2020

Learning-Automata-Based Confident Information Coverage Barriers for Smart Ocean Internet of Things.
IEEE Internet Things J., 2020

Generative Adversarial Zero-shot Learning via Knowledge Graphs.
CoRR, 2020

An Internal Clock Based Space-time Neural Network for Motion Speed Recognition.
CoRR, 2020

Relation Adversarial Network for Low Resource Knowledge Graph Completion.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Correcting Knowledge Base Assertions.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Ontology alignment in ecotoxicological effect prediction.
Proceedings of the 15th International Workshop on Ontology Matching co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

Results of SemTab 2020.
Proceedings of the Semantic Web Challenge on Tabular Data to Knowledge Graph Matching (SemTab 2020) co-located with the 19th International Semantic Web Conference (ISWC 2020), 2020

Ontology-guided Semantic Composition for Zero-shot Learning.
Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning, 2020

SemTab 2019: Resources to Benchmark Tabular Data to Knowledge Graph Matching Systems.
Proceedings of the Semantic Web - 17th International Conference, 2020

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-Based Modules.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

An Industry Evaluation of Embedding-based Entity Alignment.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Zero-shot Text Classification via Reinforced Self-training.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

When Low Resource NLP Meets Unsupervised Language Model: Meta-Pretraining then Meta-Learning for Few-Shot Text Classification (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Learning From Multiple Crowds: A Case Study of Humanitarian Mapping.
IEEE Trans. Geosci. Remote. Sens., 2019

Maximizing Coverage Quality with Budget Constrained in Mobile Crowd-Sensing Network for Environmental Monitoring Applications.
Sensors, 2019

Relation Adversarial Network for Low Resource KnowledgeGraph Completion.
CoRR, 2019

Enabling Semantic Data Access for Toxicological Risk Assessment.
CoRR, 2019

Improving Few-shot Text Classification via Pretrained Language Representations.
CoRR, 2019

Transfer Learning for Relation Extraction via Relation-Gated Adversarial Learning.
CoRR, 2019

Human-centric Transfer Learning Explanation via Knowledge Graph [Extended Abstract].
CoRR, 2019

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning.
Proceedings of the World Wide Web Conference, 2019

Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Knowledge Graph Embedding for Ecotoxicological Effect Prediction.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Embedding OWL Ontologies with OWL2Vec.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Canonicalizing Knowledge Base Literals.
Proceedings of the Semantic Web - ISWC 2019, 2019

Augmenting Transfer Learning with Semantic Reasoning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Learning Semantic Annotations for Tabular Data.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices.
Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

ColNet: Embedding the Semantics of Web Tables for Column Type Prediction.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Structured Knowledge Base as Prior Knowledge to Improve Urban Data Analysis.
ISPRS Int. J. Geo Inf., 2018

Knowledge-Based Transfer Learning Explanation.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Sixteenth International Conference, 2018

Deep Learning for Knowledge-Driven Ontology Stream Prediction.
Proceedings of the Knowledge Graph and Semantic Computing. Knowledge Computing and Language Understanding, 2018

2017
Rotating Directional Sensors to Mend Barrier Gaps in a Line-Based Deployed Directional Sensor Network.
IEEE Syst. J., 2017

Forecasting smog-related health hazard based on social media and physical sensor.
Inf. Syst., 2017

DeepVGI: Deep Learning with Volunteered Geographic Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Barrier Coverage Lifetime Maximization in a Randomly Deployed Bistatic Radar Network.
Proceedings of the Mobile Ad-hoc and Sensor Networks - 13th International Conference, 2017

Learning from Ontology Streams with Semantic Concept Drift.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

CrowdGeoKG: Crowdsourced Geo-Knowledge Graph.
Proceedings of the Knowledge Graph and Semantic Computing. Language, Knowledge, and Intelligence, 2017

2016
Minimum Cost Placement of Bistatic Radar Sensors for Belt Barrier Coverage.
IEEE Trans. Computers, 2016

Semantic Framework of Internet of Things for Smart Cities: Case Studies.
Sensors, 2016

MR-ELM: a MapReduce-based framework for large-scale ELM training in big data era.
Neural Comput. Appl., 2016

Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies.
ISPRS Int. J. Geo Inf., 2016

ELM Meets Urban Big Data Analysis: Case Studies.
Comput. Intell. Neurosci., 2016

Social Media Meets Big Urban Data: A Case Study of Urban Waterlogging Analysis.
Comput. Intell. Neurosci., 2016

Semantic Reasoning for Smog Disaster Analysis.
Proceedings of the 29th International Workshop on Description Logics, 2016

2015
Inverse Gaussian distribution based timing analysis of Sub-threshold CMOS circuits.
Microelectron. Reliab., 2015

Constructing perimeter barrier coverage with bistatic radar sensors.
J. Netw. Comput. Appl., 2015

Observing Social Web for Smog Disaster Forecasting.
Proceedings of the ACM Web Science Conference, 2015

Satellite Data Science: A Case Study for Smog Disaster Prediction from Multiple Satellite Observations.
Proceedings of the Data Science - Second International Conference, 2015

Smog disaster forecasting using social web data and physical sensor data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Asynchronous Charge Sharing Power Consistent Montgomery Multiplier.
Proceedings of the 21st IEEE International Symposium on Asynchronous Circuits and Systems, 2015

2014
Time-series processing of large scale remote sensing data with extreme learning machine.
Neurocomputing, 2014

BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine.
Comput. Math. Methods Medicine, 2014

Big smog meets web science: smog disaster analysis based on social media and device data on the web.
Proceedings of the 23rd International World Wide Web Conference, 2014

HBaseSpatial: A Scalable Spatial Data Storage Based on HBase.
Proceedings of the 13th IEEE International Conference on Trust, 2014

Reliability aware logic synthesis through rewriting.
Proceedings of the 27th IEEE International System-on-Chip Conference, 2014

Robust sub-powered asynchronous logic.
Proceedings of the 24th International Workshop on Power and Timing Modeling, 2014

Linear Compositional Delay Model for the Timing Analysis of Sub-Powered Combinational Circuits.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

Probabilistic Gate Level Fault Modeling for Near and Sub-Threshold CMOS Circuits.
Proceedings of the 17th Euromicro Conference on Digital System Design, 2014

Monitoring Urban Waterlogging Disaster Using Social Sensors.
Proceedings of the Semantic Web and Web Science - 8th Chinese Conference, 2014

2013
ELM-MapReduce: MapReduce accelerated extreme learning machine for big spatial data analysis.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Lifetime Maximization for Multi-modal Confident Information Coverage in Sensor Networks.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Mend Barrier Gaps via Sensor Rotation for a Line-Based Deployed Directional Sensor Network.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

When big data meets big smog: a big spatio-temporal data framework for China severe smog analysis.
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2013

OWL reasoning over big biomedical data.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

Data chaos: An entropy based MapReduce framework for scalable learning.
Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012
Ultra Low Power Asynchronous Charge Sharing Logic.
J. Low Power Electron., 2012

Ultra Low Power Booth Multiplier Using Asynchronous Logic.
Proceedings of the 18th IEEE International Symposium on Asynchronous Circuits and Systems, 2012

2011
Design of a Low Power, Sub-Threshold, Asynchronous Arithmetic Logic Unit Using a Bidirectional Adder.
Proceedings of the 14th Euromicro Conference on Digital System Design, 2011

2010
Design and analysis of a novel 8T SRAM cell for adiabatic and non-adiabatic operations.
Proceedings of the 17th IEEE International Conference on Electronics, 2010

Static Average Case Power Estimation Technique for Block Ciphers.
Proceedings of the 13th Euromicro Conference on Digital System Design, 2010

Reversible online BIST using bidirectional BILBO.
Proceedings of the 7th Conference on Computing Frontiers, 2010


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