Kai Wang's Homepage

Associate Professor at Harbin Institute of Technology, China

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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.

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selected publications

  1. TKDE
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    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
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    Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs
    Kai Wang, and Siqiang Luo
    2024
  3. ACL
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  4. VLDB
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    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
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    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
  6. WWW
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    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
  7. IJCAI
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    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
  8. WWW
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    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