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Xun Zheng
Ph.D
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My research focuses on probabilistic graphical models, including approximate inference, connections with neural networks, large scale training systems, structure learning and causal discovery.
Papers20 papers
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Venu Satuluri,Yao Wu,Xun Zheng,Yilei Qian,Brian Wichers,Qieyun Dai, Gui Ming Tang,Jerry Jiang,Jimmy Lin
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event..., pp.3183-3193, (2020)
arXiv: Learning, (2018)
EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 9492-9503
Cited by100EIBibtex
arXiv: Machine Learning, (2018)
EIBibtex
arXiv: Learning, (2018)
Cited by22EIBibtex
EuroSys, (2016)
ACM Knowledge Discovery and Data Mining, pp.1523-1532, (2015)
Proceedings of the 24th International Conference on World Wide Web, pp.1351-1361, (2015)
JMLR Workshop and Conference Proceedings, (2015): 1107-1115
Cited by22EIBibtex
ACM Knowledge Discovery and Data Mining, no. 2 (2015): 49-67
CoRR, (2014)
Cited by7EIBibtex
CoRR, (2014)
Cited by6EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), (2014): 2834-2842
Cited by114EIBibtex
KDD, pp.964-972, (2013)
NIPS, pp.2445-2453, (2013)
Cited by81EIBibtex
CoRR, (2013)
Cited by28EIBibtex
ACL, (2013): 187-195
Cited by18EIBibtex
CoRR, (2013)
Cited by12EIBibtex
Proceedings of the ACM SIGKDD Workshop on Mining Data Semantics, (2012)
ICHL, pp.40-50, (2011)
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