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Gong Cheng
Gong Cheng

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Gong Cheng is a professor at the Department of Computer Science and Technology, Nanjing University. He received his PhD from Southeast University. His research interests include __knowledge graph__, __big data search__, and __neuro-symbolic computation__ with applications to __knowledge-based hybrid intelligent systems__ such as data search engines, decision support systems, and AIOps platforms. His research has been published in journals and at conferences including TKDE, WWW, SIGIR, AAAI, IJCAI, ACL, ISWC, and has received or been nominated for six best paper awards. He was a Posters & Demos co-chair of ISWC 2019.
Gong Cheng is a professor at the Department of Computer Science and Technology, Nanjing University. He received his PhD from Southeast University. His research interests include __knowledge graph__, __data search__, and __neuro-symbolic reasoning__ with applications to __knowledge-based hybrid intelligent systems__ such as open data portals, question answering systems, and AIOps platforms. His research has been published in journals and at conferences including TKDE, WWW, SIGIR, AAAI, IJCAI, ACL, ISWC, and has received or been nominated for six best paper awards. He was a Posters & Demos co-chair of ISWC 2019.
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* __data search engine__: a better data search engine, featuring data retrieval, ranking, summarization, browsing, recommendation, etc.;
* __open data portal__: a better open data portal, featuring data fusion, retrieval, ranking, summarization, recommendation, etc.;
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* __complex question answering__: neuro-symbolic methods for question answering with applications to complex tasks such as high-school exams.
* __complex question answering__: neuro-symbolic methods for question answering with applications to complex tasks such as problem solving.
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