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At line 1 changed one line
[{Image src='gcheng.jpeg' height='200px'}]
[{Image src='gcheng.jpg' height='200px'}]
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*__Twitter__: [gong_cheng|https://twitter.com/gong_cheng]
*__Twitter__: [Gong Cheng|https://twitter.com/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 School of Computer Science, Nanjing University. His research interests include __big data retrieval__, __knowledge graph__, and __LLM inference__ with applications to search engines, decision support systems, question answering systems, etc. His research has been published at academic conferences and in journals including WWW, SIGIR, and TKDE, and has received or been nominated for eight best paper awards from ISWC, ESWC, and COLING. He served as PC co-chairs of ISWC 2024 and CCKS 2023.
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* __data search engine__: a better data search engine, featuring data retrieval, ranking, summarization, browsing, recommendation, etc.;
* __knowledge graph search__: search algorithms for large knowledge graphs, e.g., efficient approximation algorithms for Steiner Tree problems;
* __complex question answering__: neuro-symbolic methods for question answering with applications to complex tasks such as high-school exams.
* __data retrieval and RAG__: multi-source data retrieval, including dataset retrieval, data selection, knowledge graph RAG, etc.;\\[[ [SIGIR 2026|https://doi.org/10.1145/3805712.3808588] | [EMNLP 2025|https://doi.org/10.18653/v1/2025.emnlp-main.353] | [SIGIR 2025|https://doi.org/10.1145/3726302.3730120] ]
* __graph algorithm design and analysis__: search algorithms for large-scale graph data, e.g., Group Steiner Tree algorithms;\\[[ VLDB 2026 | [WWW 2026|https://doi.org/10.1145/3774904.3792210] | [WWW 2024|https://doi.org/10.1145/3589334.3645325] ]
* __multimodal knowledge reasoning__: multimodal data governance, knowledge extraction and fusion, trustworthy reasoning and decision support.\\[[ ICML 2026 | ACL 2026 | ICLR 2026 ]
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*[My DBLP page|https://dblp.org/pid/69/1215-1.html]
*[My Google Scholar profile|https://scholar.google.com/citations?user=_ncKAiwAAAAJ]
*[DBLP|https://dblp.org/pid/69/1215-1.html]
*[Google Scholar|https://scholar.google.com/citations?user=_ncKAiwAAAAJ]
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*CIKM 2021 Best Reviewer Award
*ESWC 2026 Best Resource Paper Nominee
*ISWC 2023 Best Research Paper Nominee
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*Poster, Demo & Lightning Talk co-chair of ISWC 2025
*Publicity co-chair of CCF BigData 2025
*In-Use Track co-chair of ISWC 2024
*Proceedings & Metadata co-chair of ISWC 2023
*Publicity co-chair of CCF BigData 2023
*PC co-chair of CCKS 2023
*Top Conference Review chair of CCKS 2020
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*Top Conference Review co-chair of CCKS 2017
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*Top conference review (co-)chair of CCKS 2017, 2020
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*ISWC 2022
*CIKM 2020-2022
*ISWC 2022-2026
*CIKM 2020-2026
*ESWC 2023, 2025-2026
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!PC member of
*WWW 2017-2023
*AAAI 2021-2023
*IJCAI 2022
*ACL/ARR 2023, 2025-2026
*AAAI 2026-2027
*KDD 2026
!PC member or reviewer of
*WWW 2017-2026
*SIGIR 2023-2026
*WSDM 2025-2026
*ECIR 2026
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*ESWC 2013-2014, 2017, 2019-2021
*ESWC 2013-2014, 2017, 2019-2022, 2024
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*COLING 2022
*COLING 2022-2025
*AAAI 2021-2025
*IJCAI 2022, 2025-2026
*NeurIPS 2025
*ICLR 2025-2026
!Associate editor of
*[Transactions on Graph Data and Knowledge|https://tgdk.org/]
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*Journal of Web Semantics (Special Issue on Knowledge Graphs and Information Retrieval)
*[Journal of Web Semantics (Special Issue on Knowledge Graphs and Information Retrieval)|https://www.sciencedirect.com/journal/journal-of-web-semantics/special-issue/10DWQV75Z4T]
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*ACM Transactions on the Web
*[ACM Transactions on the Web|https://dl.acm.org/journal/tweb]