Kai Wang

Orcid: 0000-0002-8828-2887

Affiliations:
  • Nanyang Technological University, Singapore
  • Dalian University of Technology, China (former)


According to our database1, Kai Wang authored at least 24 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep learning meets bibliometrics: A survey of citation function classification.
J. Informetrics, 2025

2024
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph Reasoning.
Proc. VLDB Endow., June, 2024

Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs.
CoRR, 2024

Topology-monitorable Contrastive Learning on Dynamic Graphs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Trust-SIoT: Toward Trustworthy Object Classification in the Social Internet of Things.
IEEE Trans. Netw. Serv. Manag., June, 2023

When Large Language Models Meet Citation: A Survey.
CoRR, 2023

River of No Return: Graph Percolation Embeddings for Efficient Knowledge Graph Reasoning.
CoRR, 2023

2022
Trust-SIoT: Towards Trustworthy Object Classification in the Social Internet of Things.
CoRR, 2022

Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph Embeddings.
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.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Lightweight YOLOV4 algorithm for underwater whale detection.
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.
CoRR, 2021

MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph Embeddings.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link Prediction.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Multi-teacher Knowledge Distillation for Knowledge Graph Completion.
CoRR, 2020

Enhancing knowledge graph embedding by composite neighbors for link prediction.
Computing, 2020

2019
An Affinity Propagation-Based Self-Adaptive Clustering Method for Wireless Sensor Networks.
Sensors, 2019

Feature-based Compositing Memory Networks for Aspect-based Sentiment Classification in Social Internet of Things.
Future Gener. Comput. Syst., 2019

Distantly Supervised Relation Extraction through a Trade-off Mechanism.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Knowledge Graph Embedding with Entity Neighbors and Deep Memory Network.
CoRR, 2018

Offering Artificial Intelligence Development Situation Analysis Service for Users.
Proceedings of the Service-Oriented Computing - ICSOC 2018 Workshops, 2018

2017
A RBF Neural Network Based Data Aggregation Algorithm for Wireless Sensor Networks.
Proceedings of the Fuzzy Systems and Data Mining III, 2017


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