Personal profile
Personal profile
Name: Cheng Yurong
Discipline:
Title: Pre-appointed Associate Professor (Special Researcher), Doctoral Supervisor
Contact number:
E-mail: yrcheng@bit.edu.cn
Address: Personal Information
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Discipline:
Title: Pre-appointed Associate Professor (Special Researcher), Doctoral Supervisor
Contact number:
E-mail: yrcheng@bit.edu.cn
Address: Personal Information
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Research Interests
Research Direction
Spatiotemporal data analysis, crowdsourcing data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc.
Spatiotemporal data analysis, crowdsourcing data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc.
Education
Personal Information
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Professional Experience
Personal Information
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Cheng Yurong, pre-appointed Associate Professor (Special Researcher), doctoral supervisor, School of Computer Science, Beijing Institute of Technology. Winner of excellent doctoral thesis Nomination Award of China Computer Society. He received his B.S. and Ph.D. degrees from the School of Computer Science and Engineering at Northeastern University in 2012 and 2017, respectively. He worked as an assistant researcher and postdoctoral researcher in Hong Kong University of Science and Technology and Beijing Institute of Technology. His research interests include spatio-temporal data analysis, crowdsourced data management and analysis, federated learning, data sharing, graph data management, knowledge graph query and analysis, etc. So far, he has published nearly 20 academic papers including TPDS, TKDE, KDD, VLDB, ICDE and other CCF class A journals or conferences. He has conducted or participated in 8 longitudinal research projects. Served as a reviewer for various top journals and conferences for many times, such as TPDS, TKDE, WWWJ, SIGKDD, CIKM, etc.
News: We plan to recruit 1 doctoral student and 3 to 4 master students every year, and welcome excellent undergraduates to join the laboratory. (Note: Background in ACM Programming Competition, IEEE Extreme Programming Competition, or other technical competitions will be preferred).
Research Achievement
代表性学术成果
[1] Yurong Cheng, Boyang Li, Xiangmin Zhou, Ye Yuan, Guoren Wang, Lei Chen. Real-Time Cross Online Matching in Spatial Crowdsourcing. In ICDE 2020 (To appear). (CCF A类会议).
[2] Yurong Cheng, Ye Yuan, Lei Chen, Christophe G. Giraud-Carrier, Guoren Wang. Event-Participant and Incremental Planning over Event-Based Social Networks. IEEE Trans. Knowl. Data Eng (TKDE). (Online Publication). (CCF A类期刊)
[3] Yurong Cheng, Lei Chen, Ye Yuan, Guoren Wang: Rule-Based Graph Repairing: Semantic and Efficient Repairing Methods. In Proc. the 34th International Conference on Data Engineering (ICDE 2018), 773-784. (CCF A类会议)
[4] Yurong Cheng, Ye Yuan, Lei Chen, Christophe G. Giraud-Carrier, Guoren Wang. Complex Event-Participant Planning and Its Incremental Variant. In Proc. the 33th International Conference on Data Engineering (ICDE 2017), 859-870. (CCF A类会议).
[5] Yurong Cheng, Ye Yuan, Lei Chen, Guoren Wang, Christophe G. Giraud-Carrier, Yongjiao Sun. DistR: A Distributed Method for the Reachability Query over Large Uncertain Graphs. IEEE Transactions on Parallel Distributed System (TPDS), 2016, 27(11): 3172-3185. (CCF A类期刊).
[6] Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen: Three-Dimensional Stable Matching Problem for Spatial Crowdsourcing Platforms. In Proc. the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2019), 1643-1653. (CCF A类会议)
[7] Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen: Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms. IJCAI 2020: 1279-1287. (CCF A类会议)
[8] 成雨蓉, 王国仁, 李博扬, 袁野. 基于事件的社交网络上的双边偏好稳态规划. 软件学报, 2019, (03): 573-588.
[9] Yurong Cheng, Ye Yuan, Jiayu Li, Lei Chen, Guoren Wang. Keyword Query over Error-Tolerant Knowledge Bases. Journal of Computer Science and Technology, 2016, 31(4): 702-719. (CCF B类期刊，SCI，计算机学报英文版).
[10] Yurong Cheng, Ye Yuan, Lei Chen, Guoren Wang. Threshold-Based Shortest Path Query over Large Correlated Uncertain Graphs. Journal of Computer Science and Technology. 2015, 30(4): 762-780. (CCF B类期刊，SCI，计算机学报英文版)
所获奖励
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CausalBridgeQA: a causal inference-based approach for robust enhancement of multi-hop question answering
Jiang, X., Cheng, Y. R., Ma, B. Q., Li, J. X. & Li, Y. F., Mar 2026, In: Frontiers of Computer Science. 20, 3, 2003605.Research output: Contribution to journal › Article › peer-review
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S-Explainer: A self-explaining NLP framework based on cooperative rationalization and multi-hop evidence reasoning
Jiang, X., Cheng, Y., Li, B., Yuan, Y. & Wang, G., 15 Mar 2026, In: Knowledge-Based Systems. 336, 114754.Research output: Contribution to journal › Article › peer-review
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Utility-Distribution Aware Real-Time Cross Online Matching in Spatial Crowdsourcing
Cheng, Y., Yang, Y., Li, B., Zhou, X., Yuan, Y., Wang, G. & Zhao, X., 2026, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering.Research output: Contribution to journal › Article › peer-review
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Cross-Platform Online Team Formation in Spatial Crowdsourcing
Cui, X., Cheng, Y., Zhou, X. & Sun, Y., 3 Aug 2025, KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 392-403 12 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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DFedKG: Diffusion-Based Federated Knowledge Graph Completion
Zhao, C., Cheng, Y., Li, B., Yang, Y. & Wang, X., Dec 2025, In: Data Science and Engineering. 10, 4, p. 639-652 14 p.Research output: Contribution to journal › Article › peer-review
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