Kai Wang

According to our database, Kai Wang authored at least 30 papers between 2017 and 2026.

Collaborative distances:

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

2026

Graph-Based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey.

Zulun Zhu, Tiancheng Huang, Kai Wang, Junda Ye, Xinghe Chen, Siqiang Luo

ACM Comput. Surv., July, 2026

RadixGraph: A Fast, Space-Optimized Data Structure for Dynamic Graph Storage (Extended Version).

Haoxuan Xie, Junfeng Liu, Siqiang Luo, Kai Wang

CoRR, January, 2026

EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision.

Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Graph Percolation Embeddings for Efficient Knowledge Graph Inductive Reasoning.

Kai Wang, Dan Lin, Siqiang Luo

IEEE Trans. Knowl. Data Eng., March, 2025

Deep learning meets bibliometrics: A survey of citation function classification.

Yang Zhang, Yufei Wang, Quan Z. Sheng, Lina Yao, Haihua Chen, Kai Wang, Adnan Mahmood, Wei Emma Zhang, Munazza Zaib, Subhash Sagar, Rongying Zhao

J. Informetrics, 2025

Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models.

Wenrui Bao, Kai Wang, Siqiang Luo, Xiang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

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

Kai Wang, Yuwei Xu, Siqiang Luo

Proc. VLDB Endow., June, 2024

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

Kai Wang, Siqiang Luo

CoRR, 2024

Topology-monitorable Contrastive Learning on Dynamic Graphs.

Zulun Zhu, Kai Wang, Haoyu Liu, Jintang Li, Siqiang Luo

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learn to Walk with Continuous-action for Knowledge-enhanced Recommendation System.

Jiahao Sun, Yu Liu, Xianjie Zhang, Xiujuan Xu, Li Hong, Kai Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

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

Kai Wang, Yuwei Xu, Zhiyong Wu, Siqiang Luo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

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

Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Jitander Kumar Pabani, Wei Emma Zhang

IEEE Trans. Netw. Serv. Manag., June, 2023

When Large Language Models Meet Citation: A Survey.

Yang Zhang, Yufei Wang, Kai Wang, Quan Z. Sheng, Lina Yao, Adnan Mahmood, Wei Emma Zhang, Rongying Zhao

CoRR, 2023

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.

Kai Wang, Siqiang Luo, Dan Lin

CoRR, 2023

2022

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

Subhash Sagar, Adnan Mahmood, Kai Wang, Quan Z. Sheng, Wei Emma Zhang

CoRR, 2022

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

Kai Wang, Yu Liu, Quan Z. Sheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Dan Lin, Zhikui Chen, Liang Zhao, Kai Wang

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Lightweight YOLOV4 algorithm for underwater whale detection.

Lili He, Defeng Du, Hongtao Bai, Kai Wang

Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

2021

High-efficiency Euclidean-based Models for Low-dimensional Knowledge Graph Embeddings.

Kai Wang, Yu Liu, Quan Z. Sheng

CoRR, 2021

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

Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng

Proceedings of the WWW '21: The Web Conference 2021, 2021

Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction.

Kai Wang, Yu Liu, Quan Z. Sheng

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

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

Kai Wang, Yu Liu, Dan Lin, Michael Sheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Multi-teacher Knowledge Distillation for Knowledge Graph Completion.

Kai Wang, Yu Liu, Qian Ma, Quan Z. Sheng

CoRR, 2020

Enhancing knowledge graph embedding by composite neighbors for link prediction.

Kai Wang, Yu Liu, Xiujuan Xu, Quan Z. Sheng

Computing, 2020

2019

An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks.

Jin Wang, Yu Gao, Kai Wang, Arun Kumar Sangaiah, Se-Jung Lim

Sensors, 2019

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

Ruixin Ma, Kai Wang, Tie Qiu, Arun Kumar Sangaiah, Dan Lin, Hannan Bin Liaqat

Future Gener. Comput. Syst., 2019

Distantly Supervised Relation Extraction through a Trade-off Mechanism.

Jun Ni, Yu Liu, Kai Wang, Zhehuan Zhao, Quan Z. Sheng

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network.

Kai Wang, Yu Liu, Xiujuan Xu, Dan Lin

CoRR, 2018

Offering Artificial Intelligence Development Situation Analysis Service for Users.

Xiujuan Xu, Tingting Jiang, Shimin Shan, Jun Ni, Kai Wang, Zhenlong Xu, Yu Liu

Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

2017

A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks.

Jin Wang, Kai Wang, Yiquan Cao, Geumran Youn, Jeong-Uk Kim

Proceedings of the Fuzzy Systems and Data Mining III, 2017