publications

2025

1. 

   Deep learning meets bibliometrics: A survey of citation function classification

   Yang Zhang, Yufei Wang, Quan Z Sheng, and 8 more authors

   Journal of Informetrics, 2025

2024

1. TKDE

   

   Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning

   Kai Wang, Dan Lin, and Siqiang Luo

   IEEE Transactions on Knowledge and Data Engineering, 2024

   Accepted by IEEE TKDE

2. 

   Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs

   Kai Wang, and Siqiang Luo

   2024
3. ACL

   

   LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs

   Kai Wang, Yuwei Xu, Zhiyong Wu, and 1 more author

   In Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024 , 2024

   Accepted by ACL 2024
4. VLDB

   

   TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning

   Kai Wang, Yuwei Xu, and Siqiang Luo

   Proceedings of the VLDB Endowment, 2024

   Accepted by PVLDB 2024
5. KDD

   

   Topology-monitorable Contrastive Learning on Dynamic Graphs

   Zulun Zhu, Kai Wang, Haoyu Liu, and 2 more authors

   In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024 , 2024

   Accepted by KDD 2024

2023

1. 

   When Large Language Models Meet Citation: A Survey

   Yang Zhang, Yufei Wang, Kai Wang, and 5 more authors

   2023

2. 

   Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things

   Subhash Sagar, Adnan Mahmood, Kai Wang, and 3 more authors

   IEEE Trans. Netw. Serv. Manag., 2023

   

2022

1. WWW

   

   Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings

   Kai Wang, Yu Liu, and Quan Z. Sheng

   In WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 , 2022

   PDF

   

2. 

   Multi-label Aerial Image Classification Based on Image-Specific Concept Graphs

   Dan Lin, Zhikui Chen, Liang Zhao, and 1 more author

   In 2022 IEEE International Conference on Image Processing (ICIP) , 2022

   

2021

1. WWW

   

   MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings

   Kai Wang, Yu Liu, Qian Ma, and 1 more author

   In Proceedings of the WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021 , 2021

   PDF
2. EMNLP

   

   Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings

   Kai Wang, Yu Liu, Dan Lin, and 1 more author

   In Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021 , 2021

   PDF
3. IJCAI

   

   Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction

   Kai Wang, Yu Liu, and Quan Z. Sheng

   In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 , 2021

   PDF

   

2020

1. 

   Enhancing knowledge graph embedding by composite neighbors for link prediction

   Kai Wang, Yu Liu, Xiujuan Xu, and 1 more author

   Computing, 2020

   PDF

2019

1. 

   Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things

   Ruixin Ma, Kai Wang, Tie Qiu, and 3 more authors

   Future Generation Computer Systems, 2019

   PDF

   

2. 

   Distantly supervised relation extraction through a trade-off mechanism

   Jun Ni, Yu Liu, Kai Wang, and 2 more authors

   In 2019 International Joint Conference on Neural Networks (IJCNN) , 2019

   PDF

   

2018

1. 

   Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network

   Kai Wang, Yu Liu, Xiujuan Xu, and 1 more author

   2018