Zhenxi Lin

According to our database, Zhenxi Lin authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models.

Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

CoRR, 2024

Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models.

Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen

CoRR, 2024

Biomedical Entity Linking as Multiple Choice Question Answering.

Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

CoRR, 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

Probing the Impacts of Visual Context in Multimodal Entity Alignment.

Meng Wang, Yinghui Shi, Han Yang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Data Sci. Eng., June, 2023

Perturbation-Based Self-Supervised Attention for Attention Bias in Text Classification.

Huawen Feng, Zhenxi Lin, Qianli Ma

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.

Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Nat. Comput. Sci., 2023

Improving Biomedical Entity Linking with Retrieval-enhanced Learning.

Zhenxi Lin, Ziheng Zhang, Xian Wu, Yefeng Zheng

CoRR, 2023

Relation-aware Ensemble Learning for Knowledge Graph Embedding.

Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Multi-modal Contrastive Representation Learning for Entity Alignment.

Zhenxi Lin, Ziheng Zhang, Meng Wang, Yinghui Shi, Xian Wu, Yefeng Zheng

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Probing the Impacts of Visual Context in Multimodal Entity Alignment.

Yinghui Shi, Meng Wang, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

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

Time-Aware Multi-Scale RNNs for Time Series Modeling.

Zipeng Chen, Qianli Ma, Zhenxi Lin

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding.

Yuejia Xiang, Ziheng Zhang, Jiaoyan Chen, Xi Chen, Zhenxi Lin, Yefeng Zheng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 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

Temporal Pyramid Recurrent Neural Network.

Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell

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