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Qiaozhu Mei(梅俏竹)
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My research spans data mining, information retrieval, machine learning, and natural language processing. I develop novel techniques for analyzing large-scale text, social and information networks, and behavioral data. These techniques are applied to solving problems in Web search, Web mining, social computing, health informatics, and other domains with the aim to generate a positive impact on everyone’s daily life.
Papers183 papers
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IJCAI, (2020): 4701-4705
SemEval@COLING, pp.1841-1846, (2020)
NeurIPS, (2020)
IEEE Transactions on Mobile Computing, pp.1-1, (2020)
NIPS 2020, (2020)
international conference on learning representations, (2020)
ICWSM, pp.95-106, (2020)
ACM Trans. Web, no. 3 (2020): 1-24
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.2368-2377, (2020)
ICHI, no. 5 (2019): 238-2
pp.22-28 (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 3276-3285
ESEC/SIGSOFT FSE, pp.841-852, (2019)
Companion Proceedings of The 2019 World Wide Web Conference, pp.417-418, (2019)
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