Yuan Tian

Orcid: 0000-0003-1242-6714

Affiliations:

Jilin University, School of Artificial Intelligence, International Center of Future Science, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China

According to our database¹, Yuan Tian authored at least 19 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Enhancing inter-sentence attention for Semantic Textual Similarity.

[BibT_eX]

[DOI]

Inf. Process. Manag., January, 2024

2023

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Few-shot relation classification using clustering-based prototype modification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

2022

Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Exploring Entity-level User Preference on the Knowledge Graph for Recommender System.

[BibT_eX]

[DOI]

Pengfei Chen

Qi Wang

Yuan Tian

Proceedings of the 5th International Conference on Algorithms, 2022

2021

Using Prior Knowledge to Guide BERT's Attention in Semantic Textual Matching Tasks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Learning Signed Network Embedding via Graph Attention.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Zhepei Wei

Yantao Jia

Yuan Tian

Mohammad Javad Hosseini

Mark Steedman

Yi Chang

CoRR, 2019

2017

The method for breast cancer grade prediction and pathway analysis based on improved multiple kernel learning.

[BibT_eX]

[DOI]

J. Bioinform. Comput. Biol., 2017

2016

Partitioning Clustering Based on Support Vector Ranking.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2015

Specific Biomarkers: Detection of Cancer Biomarkers Through High-Throughput Transcriptomics Data.

[BibT_eX]

[DOI]

Cogn. Comput., 2015

2010

Gene Regulatory Network Reconstruction with Multiple Dataset Fusion and Differential Equation.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Frontier of Computer Science and Technology, 2010

Yuan Tian

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