Jiangyue Yan

According to our database, Jiangyue Yan authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hierarchical reinforcement learning for handling sparse rewards in multi-goal navigation.

Jiangyue Yan, Biao Luo, Xiaodong Xu

Artif. Intell. Rev., June, 2024

2023

Sequence labeling with MLTA: Multi-level topic-aware mechanism.

Qianli Ma, Liuhong Yu, Haibin Chen, Jiangyue Yan, Zhenxi Lin

Inf. Sci., August, 2023

2021

Convolutional Multitimescale Echo State Network.

Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng

IEEE Trans. Cybern., 2021

Deformable Self-Attention for Text Classification.

Qianli Ma, Jiangyue Yan, Zhenxi Lin, Liuhong Yu, Zipeng Chen

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Corpus-Aware Graph Aggregation Network for Sequence Labeling.

Haibin Chen, Qianli Ma, Liuhong Yu, Zhenxi Lin, Jiangyue Yan

IEEE ACM Trans. Audio Speech Lang. Process., 2021

CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning.

Zhenxi Lin, Qianli Ma, Jiangyue Yan, Jieyu Chen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Span-based Dynamic Local Attention Model for Sequential Sentence Classification.

Xichen Shang, Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Hierarchy-aware Label Semantics Matching Network for Hierarchical Text Classification.

Haibin Chen, Qianli Ma, Zhenxi Lin, Jiangyue Yan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

MODE-LSTM: A Parameter-efficient Recurrent Network with Multi-Scale for Sentence Classification.

Qianli Ma, Zhenxi Lin, Jiangyue Yan, Zipeng Chen, Liuhong Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020