Hong YAO

Professor

School of Computer Science, Future City Campus,

China University of Geosciences, Wuhan

Address: No. 68 Jincheng Street, East Lake High-tech Development Zone, Wuhan city, Hubei Province, P.R.China, 430078

Email: yaohong@cug.edu.cn  

Research Interests: Knowledge Graph, Natural Language Processing, Spatiotemporal Big data, Mobile Network

Brief Biography

Dr. Hong YAO completed his Doctor of Engineering in computer science at Huazhong University of Science and Technology in 2010 under the supervision of Professor Hai Jin. He currently holds the position of professor in the School of Computer Science, China University of Geosciences, Wuhan. His recent research focuses on knowledge graphs, natural language processing, and spatiotemporal big data.

Dr. Yao has authored over 100 papers in refereed journals and conferences. He holds more than ten technology invention patents in China. He was awarded the First Prize of the Education Ministry Technological Innovation Award in 2010. During the academic year 2014-2015, he served as a visiting scholar in Professor Jie Wu's lab at Temple University in Philadelphia, USA.

Dr. Yao is a member of the "National Key Laboratory of Biogeology and Environmental Geology", and actively participates in the Hubei Provincial Innovation Group "Geobiological Big Data and Computational Simulation". He is a member of the ACM/ IEEE/ CCF.

Academic Background

Education

Huazhong University of Science and Technology, Wuhan, China

D.Eng., Computer Science, March 2010, Advisor: Pro. Hai JIN

China University of Geosciences, Wuhan, China

M. Eng., Cartography and Geographic Information Engineering, June 2002, Advisor: Pro. Zhihua CAI

Wuhan Technical University of Surveying and Mapping, Wuhan, China

B. Eng., Computer and application, June 1998

Career

July 1998-Present, School of Computer Science, China University of Geosciences, Wuhan, P.R.China

·      2018-Present, Professor

·      2010-2017, Associate Professor

·      2003-2009, Lecturer

·      1998-2002, Teaching assistant

HONORS & AWARDS

“Core Support Technology of Large-scale Network Streaming Media Services” was awarded the "First Prize of the Ministry of Education Technology Invention Award" in 2010 (as the 5th contributor).

Journal articles (representative works)

[1]      L. Dong, D. Zhao, X. Zhang, X. Li, X. Kang, and H. Yao^*, "Anchors-Based Incremental Embedding for Growing Knowledge Graphs," IEEE Transactions on Knowledge & Data Engineering, vol. 35, no. 4, pp. 3458-3470, 2023. (CCF A, T1)

[2]      R. Chen, J. Lei, H. Yao, T. Li, and S. Li, "Anchor-Enhanced Geographical Entity Representation Learning." IEEE Transactions on Neural Networks and Learning Systems (2023). DOI: 10.1109/TNNLS.2023.3329822 (T1)

[3]      S. Li, Y. Zhou, J. Cheng, and H. Yao^*, "Delay-aware karst spring discharge prediction," Journal of Hydrology, vol. 626, p. 130250, 2023. (T1)

[4]      Q. Chen, H. Yao^*, D. Zhou, S. Li, and L. Dong, "Extracting fact-condition relation from geological papers via deep structured semantic model with multi-grained representation," Computers & Geosciences, vol. 178, p. 105416, 2023. (T2)

[5]      Q. Chen, H. Yao^*, S. Li, X. Li, X. Kang, W. Lai, and J. Kuang, "Fact-condition statements and super relation extraction for geothermic knowledge graphs construction," Geoscience Frontiers, vol. 14, no. 5, pp. 101412, 2023. (T2)

[6]      S. Li, C. Sun, R. Chen, X. Li, Q. Liang, J. Gong, and H. Yao^*, "Location-aware neural graph collaborative filtering," International Journal of Geographical Information Science, vol. 36, no. 8, pp. 1550-1574, 2022. (T1)

[7]      H. Yao, M. Xiong, L. Hui, L. Gu, and D. Zeng, "Joint optimization of function mapping and preemptive scheduling for service chains in network function virtualization," Future Generation Computer Systems, vol. 108, pp. 1112-1118, 2020. (CCF B, T2)

[8]      D. Zeng, L. Gu, and H. Yao^*, "Towards energy efficient service composition in green energy powered cyber–physical fog systems," Future Generation Computer Systems, vol. 105, pp. 757-765, 2020. (CCF B, T2)

[9]      H. Yao, M. Xiong, D. Zeng, and J. Gong, "Mining multiple spatial–temporal paths from social media data," Future Generation Computer Systems, vol. 87, pp. 782-791, 2018. (CCF B, T2)

[10]     H. Yao, D. Zeng, H. Huang, S. Guo, A. Barnawi, and I. Stojmenovic, "Opportunistic offloading of deadline-constrained bulk cellular traffic in vehicular DTNs," IEEE Transactions on Computers, vol. 64, no. 12, pp. 3515-3527, 2015. (CCF A, T1)

Full List: https://scholar.google.com/citations?user=eYoOdnwAAAAJ&hl=en

Authorized Chinese technology invention Patents (last 5 years)

[1]      R. Li, H. Yao, Y. Cheng, C. Wang, B. Li, "Method for Identifying User Activity Types Based on Social Media," Patent Number: ZL201911392834.0, Patent Authorization Date: April 7, 2023.

[2]      C. Liu, H. Yao, D. Li, L. Dong, X. Kang, X. Li, K. Zheng, "Method and System for Word Vector Representation Learning Based on Semantic Primitives," Patent Number: ZL201810883567.6, Patent Authorization Date: March 11, 2022.

[3]      L. Dong, H. Yao, D. Zhao, X. Kang, X. Li, K. Zheng, "Automated Construction Method and System for a Knowledge Graph in the Geophysics Field," Patent Number: ZL201810883507.4, Patent Authorization Date: August 27, 2021.

[4]      X. Li, H. Yao, R. Chen, S. Li, Q. Liang, K. Zheng, "Efficient Organization Method for Knowledge Graphs Based on a Hybrid Database," Patent Number: ZL201811005179.4, Patent Authorization Date: July 20, 2021.

[5]      H. Yao, S. Li, Q. Li, C. Liu, L. Dong, X. Kang, "Method for Knowledge Graph Representation Learning Based on Structural Information and Text Descriptions," Patent Number: ZL201811011812.0, Patent Authorization Date: July 20, 2021.

[6]      X. Kang, H. Yao, J. Jiang, X. Li, S. Li, Q. Liang, "Method and System for Keyword Extraction in Legal Cases," Patent Number: ZL201810883678.7, Patent Authorization Date: May 28, 2021.

[7]      K. Zheng, H. Yao, R. Li, C. Liu, L. Dong, X. Kang, "Method and System for Sentiment Classification of Comment Data Based on Convolutional Neural Networks," Patent Number: ZL201810918698.3, Patent Authorization Date: September 29, 2020.

[8]      Q. Liang, H. Yao, B. Li, K. Zheng, C. Liu, L. Dong, "Method and System for Cross-Language Vocabulary Representation Learning Based on Synonymous Primitives," Patent Number: ZL201811158922.X, Patent Authorization Date: August 7, 2020.

[9]      Q. Liang, C. Wang, K. Zheng, H. Yao, C. Liu, L. Dong, X. Kang, X. Li, S. Li, "Method for Judicial Domain Relation Extraction Based on Neural Networks," Patent Number: ZL201910145396.1, Patent Authorization Date: April 13, 2021.

[10]     L. Dong, D. Zhao, X. Kang, X. Li, S. Li, Q. Liang, K. Zheng, H. Yao, C. Liu, "Method and System for Knowledge Graph Representation Learning Based on Tensors," Patent Number: ZL201910148591.X, Patent Authorization Date: April 9, 2021.

[11]     X. Li, S. Zhen, W. Li, Q. Liang, K. Zheng, H. Yao, C. Liu, L. Dong, X. Kang, "Method and System for Textual Relationship Extraction Based on Hierarchical Knowledge Graph Attention Model," Patent Number: ZL201010090408.5, Patent Authorization Date: December 25, 2020.

[12]     J. Gong, R. Li, Q. Liang, K. Zheng, H. Yao, C. Liu, L. Dong, X. Kang, X. Li, "Method and System for Human Activity Type Classification Based on Long Short-Term Memory Neural Network," Patent Number: ZL201910152363.X, Patent Authorization Date: November 27, 2020.

[13]     X. Kang, Q. Gong, X. Li, W. Li, Q. Liang, K. Zheng, H. Yao, C. Liu, L. Dong, "Method and System for Generating Machine Reading Comprehension Models Considering Topics," Patent Number: ZL201910211906.0, Patent Authorization Date: September 29, 2020.

Grants

[1]      “Knowledge Graph and Text Jointly Dynamic Representation Learning in Hyperbolic Space”, supported by National Natural Science Foundation of China (No. 61972365), PI, 2020.1-2023.12.

[2]      “Resource Management and Task Scheduling in Hybrid Cloud and Fog Computing Environments”, supported by National Natural Science Foundation of China (No. 61672474), PI, 2017.1-2020.12.

[3]      “Study on Directional Routing and Incentive Schemes for Vehicular Ad-Hoc Network”, supported by National Natural Science Foundation of China (No. 61272470), PI, 2013.1-2016.12.