Ye Liu

According to our database, Ye Liu authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

TechPat: Technical Phrase Extraction for Patent Mining.

Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen

ACM Trans. Knowl. Discov. Data, November, 2023

FedJudge: Federated Legal Large Language Model.

Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao

CoRR, 2023

Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.

Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.

Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2023

Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.

Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi

Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.

Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Enhancing Hierarchical Text Classification through Knowledge Graph Integration.

Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen

Knowl. Inf. Syst., 2022

Text Classification via Learning Semantic Dependency and Association.

Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.

Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Guided Attention Network for Concept Extraction.

Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.

Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2021

Legal Judgment Prediction with Multiple Perspectives on Civil Cases.

Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.

Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang

Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020

Technical Phrase Extraction for Patent Mining: A Multi-level Approach.

Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui

Proceedings of the 20th IEEE International Conference on Data Mining, 2020