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Sean (Xiang) Ren
Assistant Professor
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Prof. Ren's research leads to a book entitled "Mining Structures of Factual Knowledge from Text: An Effort-Light Approach" and over 50 research publications in top conferences and journals, was covered in over 10 conference tutorials (KDD, WWW, NAACL). Technologies he developed has been transferred to US Army Research Lab, National Institute of Health, Microsoft, Yelp and TripAdvisor.
Papers191 papers
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IEEE Trans. Ind. Electron., no. 5 (2021): 3707-3718
ACL, pp.2134-2146, (2020)
EMNLP 2020, pp.1737-1751, (2020)
IEEE Trans. Ind. Electron., no. 3 (2020): 2059-2071
international conference on learning representations, (2020)
Bibtex
IEEE Transactions on Industry Applications, no. 3 (2020): 2441-2450
Chunyan Luo,Elisabeth Pook,Fan Wang,Stephen R Archacki, Bo Tang, Weiyi Zhang, Jing-Shan Hu, Jian Yang,Kirsten Leineweber, Martin Bechem, Weifeng Huang, Yinhong Song
Gene, (2020): 144805
ACL, pp.4941-4957, (2020)
IJCAI 2020, pp.3898-3904, (2020)
EMNLP 2020, pp.6862-6868, (2020)
EMNLP 2020, pp.1295-1309, (2020)
EMNLP 2020, pp.8541-8547, (2020)
ICLR, (2020)
ACL, pp.5435-5442, (2020)
IEEE Transactions on Industrial Electronics, no. 8 (2020): 6248-6258
IEEE Trans. Ind. Electron., no. 4 (2020): 2999-3011
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