Hongkui Tu

According to our database, Hongkui Tu authored at least 24 papers between 2016 and 2024.

Collaborative distances:

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

2024

Generalizable inductive relation prediction with causal subgraph.

Han Yu, Ziniu Liu, Hongkui Tu, Kai Chen, Aiping Li

World Wide Web (WWW), May, 2024

Inductive relation prediction with information bottleneck.

Han Yu, Kai Chen, Ziniu Liu, Hongkui Tu, Aiping Li

Neurocomputing, 2024

Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs.

Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

U-CORE: A Unified Deep Cluster-wise Contrastive Framework for Open Relation Extraction.

Jie Zhou, Shenpo Dong, Yunxin Huang, Meihan Wu, Haili Li, Jingnan Wang, Hongkui Tu, Xiaodong Wang

Trans. Assoc. Comput. Linguistics, 2023

2022

ArgumentPrompt: Activating Multi-category of Information for Event Argument Extraction with Automatically Generated Prompts.

Shenpo Dong, Wei Yu, Hongkui Tu, Xiaodong Wang, Yunyan Zhou, Haili Li, Jie Zhou, Tao Chang

Proceedings of the Natural Language Processing and Chinese Computing, 2022

RSGT: Relational Structure Guided Temporal Relation Extraction.

Jie Zhou, Shenpo Dong, Hongkui Tu, Xiaodong Wang, Yong Dou

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

2021

Applications of Knowledge Representation Learning.

Chenchen Li, Aiping Li, Ye Wang, Hongkui Tu

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

Information Cascading in Social Networks.

Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

The Framework of the MDATA Computing Model.

Yan Jia, Aiping Li, Zhaoquan Gu, Bin Zhou, Ye Wang, Xiang Wang, Hongkui Tu

Proceedings of the MDATA: A New Knowledge Representation Model, 2021

A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain.

Yichen Song, Aiping Li, Hongkui Tu, Kai Chen, Chenchen Li

Frontiers Neurorobotics, 2021

A Novel Deep Neural Network Model for Credit Risk Prediction of Chinese Farmers.

Yalong Xie, Aiping Li, Ziniu Liu, Kai Chen, Hongkui Tu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

Rumor Detection on Social Media Using Temporal Dynamic Structure and Emotional Information.

Chenming Wang, Bin Zhou, Hongkui Tu, Yujia Liu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

A Manifold Learning Method to Passage Retrieval for Open-Domain Question Answering.

Ruidong Ding, Bin Zhou, Hongkui Tu

Proceedings of the Sixth IEEE International Conference on Data Science in Cyberspace, 2021

2020

Hierarchical text interaction for rating prediction.

Jiahui Wen, Jingwei Ma, Hongkui Tu, Mingyang Zhong, Guangda Zhang, Wei Yin, Jian Fang

Knowl. Based Syst., 2020

Hierarchical Text Interaction for Rating Prediction.

Jiahui Wen, Jingwei Ma, Hongkui Tu, Wei Yin, Jian Fang

CoRR, 2020

An Advanced BERT-Based Decomposition Method for Joint Extraction of Entities and Relations.

Changhai Wang, Aiping Li, Hongkui Tu, Ye Wang, Chenchen Li, Xiaojuan Zhao

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

A Survey on Approaches and Applications of Knowledge Representation Learning.

Chenchen Li, Aiping Li, Ye Wang, Hongkui Tu, Yichen Song

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

A Knowledge Graph Embedding Method Based on Neural Network.

Chenchen Li, Aiping Li, Hongkui Tu, Ye Wang, Changhai Wang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

Deep Learning for Social Network Information Cascade Analysis: a survey.

Liqun Gao, Bin Zhou, Yan Jia, Hongkui Tu, Ye Wang, Chenguang Chen, Haiyang Wang, Hongwu Zhuang

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

Joint modeling of users, questions and answers for answer selection in CQA.

Jiahui Wen, Hongkui Tu, Xiaohui Cheng, Renquan Xie, Wei Yin

Expert Syst. Appl., 2019

DBRec: Dual-Bridging Recommendation via Discovering Latent Groups.

Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Joint Implicit and Explicit Neural Networks for Question Recommendation in CQA Services.

Hongkui Tu, Jiahui Wen, Aixin Sun, Xiaodong Wang

IEEE Access, 2018

2017

Entity Recognition by Distant Supervision with Soft List Constraint.

Hongkui Tu, Zongyang Ma, Aixin Sun, Zhiqiang Xu, Xiaodong Wang

Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016

When MetaMap Meets Social Media in Healthcare: Are the Word Labels Correct?

Hongkui Tu, Zongyang Ma, Aixin Sun, Xiaodong Wang

Proceedings of the Information Retrieval Technology, 2016