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Xifeng Yan
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His work is centered around modeling, managing, and mining data, especially graph and text data. His contribution can be found in data mining, database systems, natural language processing, and their applications in interdisciplinary areas like bioinformatics. His works were extensively referenced, with over 15,000 citations per Google Scholar and thousands of software downloads. He received NSF CAREER Award, IBM Invention Achievement Award, ACM-SIGMOD Dissertation Runner-Up Award, and IEEE ICDM 10-year Highest Impact Paper Award.
Papers216 papers
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Shiyang Li,Semih Yavuz,Kazuma Hashimoto, Jia Li, Tong Niu,Nazneen Rajani,Xifeng Yan,Yingbo Zhou,Caiming Xiong
ICLR 2021, (2021)
empirical methods in natural language processing, pp.8635-8648, (2020)
EMNLP 2020, (2020)
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management
Virt..., pp.1055-1064, (2020)
ACL (1), pp.3696-3709, (2019)
ACL (1), pp.1324-1330, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 5244-5254
Cited by16EIBibtex
ACM Transactions on Knowledge Discovery from Data (TKDD), no. 2 (2019): 18-23
Journal of Neuroscience Methods, (2019): 39-48
pp.1083-1092 (2019)
Meeting of the Association for Computational Linguistics, (2019)
Meeting of the Association for Computational Linguistics, (2019)
arXiv: Computation and Language, (2019)
empirical methods in natural language processing, (2018)
Cited by12Bibtex
north american chapter of the association for computational linguistics, (2018)
ACL, pp.1339-1349, (2018)
EMNLP, pp.1702-1711, (2018)
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