Yuejia Xiang

According to our database1, Yuejia Xiang authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
MinJoT: Multimodal infusion Joint Training for noise learning in text and multimodal classification problems.
Inf. Fusion, February, 2024

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

2022
Self-Supervised Entity Alignment Based on Multi-Modal Contrastive Learning.
IEEE CAA J. Autom. Sinica, 2022

A Creative Industry Image Generation Dataset Based on Captions.
CoRR, 2022

Noise Learning for Text Classification: A Benchmark.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs.
CoRR, 2021

CONNER: A Cascade Count and Measurement Extraction Tool for Scientific Discourse.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Field Embedding: A Unified Grain-Based Framework for Word Representation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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
An Industry Evaluation of Embedding-based Entity Alignment.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018
NEUTag's Classification System for Zhihu Questions Tagging Task.
Proceedings of the Natural Language Processing and Chinese Computing, 2018


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