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个人简介
Shirui’s research mainly focuses on artificial intelligence (AI), data mining, and machine learning. He has made contributions to advance graph machine learning methods for solving hard AI problems for real-life applications, including graph classification, anomaly detection, recommender systems, and multivariate time series forecasting. His research has been published in top conferences and journals including NeurIPS, ICML, KDD, TPAMI, TNNLS, and TKDE. He is recognised as one of the AI 2000 AAAI/IJCAI Most Influential Scholars in Australia (2021, 2022), and one of the World’s Top 2% Scientists (2021). His research received the IEEE ICDM Best Student Paper Award (2020), and the JCDL Best Paper Honorable Mention Award (2020). He has eight papers recognised as the Most Influential Papers in KDD (x1), IJCAI (x5), AAAI (x1), and CIKM (x1) (Feb 2022). He received a prestigious Future Fellowship (2022-2025), one of the most competitive grants from the Australian Research Council (ARC).
研究兴趣
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arxiv(2024)
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CoRR (2024)
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Powder Technologypp.119448, (2024)
Neural Networks (2024): 106219-106219
arxiv(2024)
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ICLR 2024 (2024)
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERINGno. 1 (2024): 372-385
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