Yujie Wang

Orcid: 0000-0002-8593-3680

Affiliations:
  • Hefei University of Technology, School of Computer Science and Information Engineering, China


According to our database1, Yujie Wang authored at least 16 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
SRCR: Faithful structured reasoning with curriculum reinforcement learning for explainable question answering.
Inf. Process. Manag., 2026

2025
Summary Graph Induced Invariant Learning for Generalizable Graph Learning.
IEEE Trans. Knowl. Data Eng., June, 2025

Weakly-supervised explainable question answering via question aware contrastive learning and adaptive gate mechanism.
Inf. Sci., 2025

Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Enhancing Event Causality Identification with LLM Knowledge and Concept-Level Event Relations.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Heterogeneous-Graph Reasoning With Context Paraphrase for Commonsense Question Answering.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Discovering causally invariant features for out-of-distribution generalization.
Pattern Recognit., 2024

Towards Effective Graph Rationalization via Boosting Environment Diversity.
CoRR, 2024

Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Joint Entity and Relation Extraction for Legal Documents Based on Table Filling.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dual-Branch Contrastive Learning for Network Representation Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A New Skeleton-Neural DAG Learning Approach.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Bootstrap-based Causal Structure Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Improving Gradient-based DAG Learning by Structural Asymmetry.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021


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