Yantao Jia

Orcid: 0000-0003-0349-7617

According to our database1, Yantao Jia authored at least 54 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Learning Entity Linking Features for Emerging Entities.
IEEE Trans. Knowl. Data Eng., July, 2023

2022
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach.
IEEE Trans. Big Data, 2022

Federated knowledge graph completion via embedding-contrastive learning.
Knowl. Based Syst., 2022

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

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

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker.
CoRR, 2021

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator.
CoRR, 2021

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

Fine-Grained Image-Text Retrieval via Complementary Feature Learning.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

FedE: Embedding Knowledge Graphs in Federated Setting.
Proceedings of the IJCKG'21: The 10th International Joint Conference on Knowledge Graphs, Virtual Event, Thailand, December 6, 2021

2020
The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis.
CoRR, 2020

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

Context and Type Enhanced Representation Learning for Relation Extraction.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Scene Restoring for Narrative Machine Reading Comprehension.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection.
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

Link Prediction between Group Entities in Knowledge Graphs (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Self-learning and embedding based entity alignment.
Knowl. Inf. Syst., 2019

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model.
CoRR, 2019

EasyKG: An End-to-End Knowledge Graph Construction System.
Proceedings of the Semantic Technology - 9th Joint International Conference, 2019

2018
Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach.
ACM Trans. Web, 2018

Path-specific knowledge graph embedding.
Knowl. Based Syst., 2018

Modeling the Correlations of Relations for Knowledge Graph Embedding.
J. Comput. Sci. Technol., 2018

Hierarchical Type Constrained Topic Entity Detection for Knowledge Base Question Answering.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

The Poisson multi-media knowledge construction System for TAC KBP 2018.
Proceedings of the 2018 Text Analysis Conference, 2018

Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Path-Based Attention Neural Model for Fine-Grained Entity Typing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach.
IEEE Trans. Comput. Soc. Syst., 2017

开放知识库构建技术的多维量化评价方法 (Multi-dimensional Quantitative Evaluation Method of Open Knowledge Base Construction Technology).
计算机科学, 2017

Efficient Parallel Translating Embedding For Knowledge Graphs.
CoRR, 2017

Coarse to Fine: Diffusing Categories in Wikipedia.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Efficient parallel translating embedding for knowledge graphs.
Proceedings of the International Conference on Web Intelligence, 2017

The Open Knowledge System for TAC KBP 2017.
Proceedings of the 2017 Text Analysis Conference, 2017

Self-Learning and Embedding Based Entity Alignment.
Proceedings of the IEEE International Conference on Big Knowledge, 2017

Learning Knowledge Representation Across Knowledge Graphs.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Location Prediction: A Temporal-Spatial Bayesian Model.
ACM Trans. Intell. Syst. Technol., 2016

Hierarchy-Based Link Prediction in Knowledge Graphs.
Proceedings of the 25th International Conference on World Wide Web, 2016

OpenKN at TAC KBP 2016.
Proceedings of the 2016 Text Analysis Conference, 2016

Predicting Links and Their Building Time: A Path-Based Approach.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Locally Adaptive Translation for Knowledge Graph Embedding.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs.
J. Comput. Sci. Technol., 2015

OpenKN at TAC KBP 2015.
Proceedings of the 2015 Text Analysis Conference, 2015

An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matching.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

2014
TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Populating knowledge base with collective entity mentions: A graph-based approach.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

OpenKN: An open knowledge computational engine for network big data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Predicting User Likes in Online Media Based on Conceptualized Social Network Profiles.
Proceedings of the Web Technologies and Applications, 2014

Content-Structural Relation Inference in Knowledge Base.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Structural-interaction link prediction in microblogs.
Proceedings of the 22nd International World Wide Web Conference, 2013


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