Kai Wang's Homepage
Associate Professor at Harbin Institute of Technology, China
Email: kai_wang@hit.edu.cn
Dr. Kai Wang is an Associate Professor at Faculty of Computing, Harbin Institute of Technology. Before that, he was a postdoctoral research fellow at Nanyang Technological University, Singapore. He obtained his Ph.D. degrees from Macquarie University, Australia, and Dalian University of Technology, P.R. China, in 2022. He obtained his Bachelor, Master degrees in Software Engineering from Dalian University of Technology in 2015 and 2019, respectively. Kai’s research interests include, but are not limited to, Knowledge Graph Reasoning, Graph Neural Networks, and Large Language Models. He has published a number of papers at the top conferences and journals of these research areas, i.e., VLDB, ACL, KDD, IJCAI, EMNLP, and the Web Conference.
latest posts
| Nov 25, 2024 | A Research Paper Accepted by TKDE! |
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| Jun 11, 2024 | Attending NTU Workshop with Poster Presentation |
| May 17, 2024 | Three Papers Accepted by Top Confs |
selected publications
- TKDE
Graph Percolation Embeddings for Efficient Knowledge Graph ReasoningIEEE Transactions on Knowledge and Data Engineering, 2024Accepted by IEEE TKDE -
Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs2024 - ACL
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge GraphsIn Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024 , 2024Accepted by ACL 2024 - VLDB
TIGER: Training Inductive Graph Neural Network for Large-scale Knowledge Graph ReasoningProceedings of the VLDB Endowment, 2024Accepted by PVLDB 2024 - KDD
Topology-monitorable Contrastive Learning on Dynamic GraphsIn Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024 , 2024Accepted by KDD 2024 - WWW
MulDE: Multi-teacher Knowledge Distillation for Low-dimensional Knowledge Graph EmbeddingsIn Proceedings of the WWW ’21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021 , 2021 - IJCAI
Neighborhood Intervention Consistency: Measuring Confidence for Knowledge Graph Link PredictionIn Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, Virtual Event / Montreal, Canada, 19-27 August 2021 , 2021 - WWW
Swift and Sure: Hardness-aware Contrastive Learning for Low-dimensional Knowledge Graph EmbeddingsIn WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 , 2022