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姚宏，男，博士，1976年4月出生；中国地质大学（武汉）计算机学院/未来技术学院 教授、博士生导师；“生物地质与环境地质国家重点实验室”成员、湖北省创新群体“地球生物学大数据与计算模拟”成员、苏州市“企业服务大数据创新应用实验室”成员。主要研究方向为人工智能及其应用，包括：地球信息学、时空大数据等。
1998年本科毕业于（原）武汉测绘科技大学，获学士学位（专业：计算机及应用专业），2002年于中国地质大学获硕士学位（专业：地图制图学与地理信息工程），2010于华中科技大学获工学博士学位（专业：计算机系统结构，导师金海教授）。2014年-2015年，受国家留学基金委资助，美国天普大学(Temple University)计算机系访问学者,合作导师是吴杰教授。
近年来，在ACM、IEEE、Springer等机构出版的国际权威学术期刊、国际学术会议、国内权威期刊上发表论文六十余篇，授权发明专利十余项。
主持国家自然科学基金（信息科学部）面上项目3项；参与国家科技重大专项1项；参与国家重点研发计划1项；主持多项横向项目。
IEEE、ACM、CCF、中国中文信息学会 会员。
[1] D. Zhou, S. Li, L. Dong, R. Chen, X. Peng, and H. Yao*, "C-KGE: Curriculum learning-based Knowledge Graph Embedding," Comput. Speech Lang., vol. 89, 2025, Art. no. 101689.
[2] S. Li, S. Huang, X. Cheng, R. Chen, Y. Zhou, S. Zhou, H. Yao, and J. Gong, "Transfer Learning-Based Region Statistical Data Completion via Double Graphs," IEEE Trans. Emerg. Top. Comput. Intell., 2024.
[3] L. Wei, Q. Lu, Y. Duan, H. Yao, and X. Kang, "CEDG-GeoQA: Knowledge base question answering for the geoscience domain via Chinese entity description graph," Earth Sci. Inform., vol. 17, no. 3, pp. 2609-2621, 2024.
[4] D. Zhou, S. Li, Q. Chen, and H. Yao*, "Improving few-shot named entity recognition via Semantics induced Optimal Transport," Neurocomputing, 2024, Art. no. 127938.
[5] 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.
[6] 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. DOI: 10.1016/j.cageo.2022.105416.
[7] S. Li, Y. Zhou, J. Cheng, and H. Yao*, "Delay-aware karst spring discharge prediction," Journal of Hydrology, vol. 626, p. 130250, 2023.
[8] J. Kuang, G. Morra, D. A. Yuen, T. Kusky, S. Jiang, H. Yao, and S. Qi, "Metamorphic constraints on Archean tectonics," Precambrian Research, vol. 397, p. 107195, 2023. DOI: 10.1016/j.precamres.2022.107195.
[9] Q. Chen, H. Yao*, D. 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 14, no. 5 (2023): 101412.
[10] X. Kang, X. Li, H. Yao, D. Li, B. Jiang, X. Peng, T. Wu, S. Qi, and L. Dong, "Dynamic hypergraph neural networks based on key hyperedges," Information Sciences, vol. 616, pp. 37-51, 2022.
[11] S. Li, R. Chen, C. Sun, H. Yao, X. Cheng, Z. Li, T. Li, and X. Kang, "Region-aware neural graph collaborative filtering for personalized recommendation," International Journal of Digital Earth, vol. 15, no. 1, pp. 1446-1462, 2022.
[12] 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.
[13] S. Li, B. Li, H. Yao, S. Zhou, J. Zhu, and Z. Zeng, "Completing WordNets with Sememe Knowledge," Electronics, vol. 11, no. 1, p. 79, 2021.
[14] 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.
[15] L. Dong, H. Yao, D. Li, Y. Wang, S. Li, and Q. Liang, "Improving graph neural network via complex-network-based anchor structure," Knowledge-Based Systems, vol. 233, p. 107528, 2021.
[16] X. Kang, B. Li, H. Yao, Q. Liang, S. Li, J. Gong, and X. Li, "Incorporating Synonym for Lexical Sememe Prediction: An Attention-Based Model," Applied Sciences, vol. 10, no. 17, p. 5996, 2020.
[17] R. Chen, H. Yao, R. Li, X. Kang, S. Li, L. Dong, and J. Gong, "Identifying Human Daily Activity Types with Time-Aware Interactions," Applied Sciences, vol. 10, no. 24, p. 8922, 2020.
[18] S. Li, R. Chen, B. Wan, J. Gong, L. Yang, and H. Yao, "DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information," Applied Sciences, vol. 10, no. 17, p. 5804, 2020.
[19] C. Liu, X. Li, D. Zhao, S. Guo, X. Kang, L. Dong, and H. Yao, "Graph Neural Networks with Information Anchors for Node Representation Learning," Mobile Networks and Applications, 2020.
[20] K. Zheng, Y. Cheng, X. Kang, H. Yao, and T. Tian, "Conditional Introspective Variational Autoencoder for Image Synthesis," IEEE Access, vol. 8, pp. 153905-153913, 2020.
[21] X. Li, X. Kang, C. Wang, L. Dong, H. Yao, and S. Li, "A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes," IEEE Access, 2020.
[22] 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.
[23] 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.
[24] C. Liu, D. Zeng, H. Yao, X. Yan, L. Yu, and Z. Fu, "An efficient iterative graph data processing framework based on bulk synchronous parallel model," Concurrency and Computation: Practice and Experience, vol. 32, no. 3, p. e4432, 2020.
[25] J. Gong, R. Li, H. Yao, X. Kang, and S. Li, "Recognizing human daily activity using social media sensors and deep learning," International Journal of Environmental Research and Public Health, vol. 16, no. 20, p. 3955, 2019.
[26] Dong, Lijun, Xiaojun Kang, Mengqi Pan, Man Zhao, Feng Zhang, and Hong Yao. "B-matching-based optimization model for energy allocation in sea surface monitoring." Energy 192 (2020): 116618.
[27] M. Xiong, L. Gu, H. Liu, D. Zeng, H. Yao, and Z. Qian, "A Network Calculus Based Delay and Backlog Analysis for Cloud Radio Access Networks," Mobile Networks and Applications, vol. 26, pp. 1172-1181, 2021.
[28] 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.
[29] H. Yao, M. Xiong, C. Liu, and Q. Liang, "Encounter probability aware task assignment in mobile crowdsensing," Mobile Networks and Applications, vol. 22, pp. 275-286, 2017.
[30] H. Yao, C. Bai, M. Xiong, D. Zeng, and Z. Fu, "Heterogeneous cloudlet deployment and user‐cloudlet association toward cost effective fog computing," Concurrency and Computation: Practice and Experience, vol. 29, no. 16, p. e3975, 2017.
[31] H. Yao, C. Bai, D. Zeng, Q. Liang, and Y. Fan, "Migrate or not? Exploring virtual machine migration in roadside cloudlet‐based vehicular cloud," Concurrency and Computation: Practice and Experience, vol. 27, no. 18, pp. 5780-5792, 2015.
[32] H. Yao, J. Xu, Z. Luo, and D. Zeng, "MEMoMR: Accelerate MapReduce via reuse of intermediate results," Concurrency and Computation: Practice and Experience, vol. 28, no. 14, pp. 3814-3829, 2016.
[33] 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.
[34] H. Yao, H. Huang, D. Zeng, B. Li, and S. Guo, "An energy-aware deadline-constrained message delivery in delay-tolerant networks," Wireless Networks, vol. 20, pp. 1981-1993, 2014.
[35] H. Yao, G. Yang, D. Zeng, C. Liu, Q. Liang, and C. Hu, "An Advertiser-Centric Cooperative Mechanism in Smartphone Advertising Based on Stackelberg Game Analysis," International Journal of Web Services Research (IJWSR), vol. 12, no. 4, pp. 1-15, 2015.
[36] H. Yao, H. Zhang, C. Zhang, D. Zeng, J. Wu, and H. Zheng, "Data or index: a trade-off in mobile delay tolerant networks," Int. J. Comput. Sci. Eng., vol. 14, no. 4, pp. 330-340, 2017.
[37] D. Zeng, L. Gu, L. Lian, S. Guo, H. Yao, and J. Hu, "On cost-efficient sensor placement for contaminant detection in water distribution systems," IEEE Trans. Ind. Informat., vol. 12, no. 6, pp. 2177-2185, 2016.
[38] X. Kang, H. Yao, Q. Li, X. Li, C. Liu, and L. Dong, "TDN: An integrated representation learning model of knowledge graphs," IEEE Access, vol. 7, pp. 55199-55205, 2019, doi: 10.1109/ACCESS.2019.2913086.
[39] K. Zheng, K. Zheng, F. Fang, H. Yao, Y. Yi, and D. Zeng, "Real-time massive vector field data processing in edge computing," Sensors, vol. 19, no. 11, p. 2602, 2019, doi: 10.3390/s19112602.
[1] Y. Duan, S. Zhou, X. Peng, X. Kang, and H. Yao, "Neural-Symbolic Reasoning with External Knowledge for Machine Reading Comprehension," in Neural Information Processing. ICONIP 2023, B. Luo, L. Cheng, Z. G. Wu, H. Li, and C. Li, Eds. Singapore: Springer, 2024, vol. 1965, CCF C, pp. 411-420. DOI: 10.1007/978-981-99-8145-8_34.
[2] H. Yao, L. Dong, S. Zhen, X. Kang, X. Li, and Q. Liang, "Distant-supervised relation extraction with hierarchical attention based on knowledge graph," in Proc. 2019 IEEE 31st Int. Conf. Tools Artif. Intell. (ICTAI), 2019.
[3] C. Liu, X. Li, D. Zhao, S. Guo, X. Kang, L. Dong, and H. Yao, "A-GNN: Anchors-aware graph neural networks for node embedding," in Proc. Int. Conf. Heterogeneous Networking Quality, Reliability, Security Robustness, Cham, Switzerland: Springer, 2019, pp. 141-153.
[4] H. Jia, H. Yao, T. Tian, S. Li, and C. Yan, "The latent semantic power of labels: improving image classification via natural language semantic," in Proc. 13th Int. Conf. Human-Centered Comput. (HCC), Čačak, Serbia, 2019, pp. 175-189, Cham, Switzerland: Springer.
[5] T. Tian, F. Yang, K. Zheng, H. Yao, and Q. Gao, "A fast local image descriptor based on patch quantization," in Proc. Int. Conf. Human-Centered Comput., Cham, Switzerland: Springer, 2017, pp. 64-75.
[6] Z. Chen, H. Yao, L. Gu, et al., "Dynamic service migration via approximate Markov decision process in mobile edge-clouds," in Proc. Int. Conf. Internet Distrib. Comput. Syst., Cham, Switzerland: Springer, 2017, pp. 13-24.
[7] J. Zhang, D. Zeng, L. Gu, H. Yao, and M. Xiong, "Joint optimization of virtual function migration and rule update in software defined NFV networks," in Proc. IEEE Global Commun. Conf. (GLOBECOM), 2017, pp. 1-5.
[8] D. Zeng, G. Yang, L. Gu, S. Guo, and H. Yao, "Joint optimization on switch activation and flow routing towards energy efficient software defined data center networks," in Proc. IEEE Int. Conf. Commun. (ICC), 2016, pp. 1-6.
[9] H. Yao, H. Li, C. Liu, et al., "Joint optimization of VM placement and rule placement towards energy efficient software-defined data centers," in Proc. IEEE Int. Conf. Comput. Inf. Technol. (CIT), 2016, pp. 204-209.
[10] J. Zhang, D. Zeng, L. Gu, H. Yao, and Y. Fan, "On rule placement for multi-path routing in software-defined networks," in Proc. Int. Conf. Collaborative Comput.: Networking, Appl. Worksharing, Cham, Switzerland: Springer, 2015, pp. 59-71.
[11] H. Yao, C. Zhang, C. Liu, et al., "On participant selection for minimum cost participatory urban sensing with guaranteed quality of information," in Proc. Int. Conf. Collaborative Comput.: Networking, Appl. Worksharing, Cham, Switzerland: Springer, 2015, pp. 183-194.
[12] D. Zeng, C. Teng, L. Gu, H. Yao, and Q. Liang, "Flow setup time aware minimum cost switch-controller association in software-defined networks," in Proc. 11th Int. Conf. Heterogeneous Networking Quality, Reliability, Security Robustness (QSHINE), 2015, pp. 259-264.
[13] D. Zeng, C. Teng, H. Yao, et al., "Stochastic analysis of epidemic routing based anycast in throwbox-equipped DTNs," in Proc. IEEE 8th Int. Symp. Embedded Multicore/Manycore SoCs (MCSoc), 2014, pp. 77-81.
[14] Q. Liang, H. Li, Y. Fan, X. Yan, C. Hu, and H. Yao, "SAPSN: A sensor network for signal acquisition and processing," in Proc. IEEE 12th Int. Conf. Dependable, Autonomic and Secure Comput. (DASC), 2014, pp. 475-478.
[15] H. Huang, D. Zeng, S. Guo, and H. Yao, "Joint optimization of task mapping and routing for service provisioning in distributed datacenters," in Proc. IEEE Int. Conf. Commun. (ICC), 2014, pp. 4196-4201.
[16] Z. Luo, H. Zhu, D. Zeng, and H. Yao, "A trace-driven analysis on the user behaviors in social e-commerce network," in Proc. IEEE Int. Conf. Commun. (ICC), 2014, pp. 4108-4113.
[17] C. Liu, C. Zhang, H. Yao, et al., "A GPS information sharing system based on Bluetooth technology," in Proc. Int. Conf. IT Convergence and Security (ICITCS), 2014, pp. 1-2.
[18] C. Liu, H. Yao, Z. Tang, et al., "A comparison study of graph data processing based on MyBSP and MapReduce," in Proc. Int. Conf. Cloud Comput. and Big Data, 2014, pp. 70-74.
[19] C. Hu, D. Tian, and H. Yao, "A cloud-based optimization for the placement of water quality sensors in water distribution system," in Proc. 2014 Int. Conf. Mechatronics and Control (ICMC), 2014, pp. 698-702.
[20] H. Yao, L. Lian, Y. Fan, et al., "The evaluation of security algorithms on mobile platform," in Proc. 2013 IEEE 9th Int. Conf. Mobile Ad-hoc and Sensor Networks, 2013, pp. 405-409.
[21] H. Yao, G. Yang, C. Zhang, et al., "Ddnm: Monitoring environment noise using smart phones," in Proc. 2013 IEEE 7th Int. Symp. Embedded Multicore SoCs, 2013, pp. 177-182.
[22] H. Huang, D. Zeng, S. Guo, H. Yao, and T. Miyazak, "Stochastic analysis on epidemic dissemination of lifetime-controlled messages in DTNs," in Proc. 2013 9th Int. Wireless Commun. and Mobile Comput. Conf. (IWCMC), 2013, pp. 1578-1583.
[23] Q. Liang, Y. Fan, and H. Yao, "Study on influences analysis of RFID and application in Midget Coil Warehouse," in Proc. 2013 IEEE 7th Int. Symp. Embedded Multicore SoCs, 2013, pp. 183-187.
[24] H. Yao, H. Huang, Q. Liang, et al., "The effect of critical transmission range in epidemic data propagation for mobile ad-hoc social network," in Joint Int. Conf. Pervasive Comput. and the Networked World, Berlin, Heidelberg: Springer, 2012, pp. 743-756.
[25] D. Zeng, L. Cong, H. Huang, S. Guo, and H. Yao, "Deadline-constrained content distribution in vehicular delay tolerant networks," in Proc. 2012 8th Int. Wireless Commun. and Mobile Comput. Conf. (IWCMC), 2012, pp. 994-999.
[26] H. Yao, Z. Zhao, H. Huang, et al., "Charge stations deployment strategy for maximizing the charge opportunity of electric vehicles (EVs)," in Proc. Int. Symp. Intelligence Computation and Applications, Berlin, Heidelberg: Springer, 2012, pp. 603-611.
[27] H. Yao, H. Huang, L. Cong, et al., "MVA: An interactive assistant communication scheme in blind area of VANET," in Proc. 2012 IEEE 14th Int. Conf. High Performance Comput. and Commun. & 2012 IEEE 9th Int. Conf. Embedded Software and Systems, 2012, pp. 929-934.
完整列表：https://scholar.google.com/citations?user=eYoOdnwAAAAJ&hl=en
获奖：
· “大规模网络流媒体服务核心支撑技术”，2010年获得“高等学校科学研究优秀成果奖（科学技术），教育部技术发明奖一等奖”(第5完成人)。
授权国家技术发明专利 (近 5 年)：
1. 专利名称：一种基于社交媒体的用户活动类型识别方法，专利号：ZL201911392834.0，专利授权日：2023年04月07日，发明人：李润佳，姚宏，程亚凡，王晨威，李兵
2. 专利名称：一种基于语义原语的词向量表征学习方法及系统，专利号：ZL201810883567.6，专利授权日：2022年03月11日，发明人：刘超，姚宏，李旦，董理君，康晓军，李新川，郑坤；
3. 专利名称：一种面向地球物理领域知识图谱的自动化构建方法及系统，专利号：ZL201810883507.4，专利授权日：2021年08月27日，发明人：董理君，姚宏，赵东阳，康晓军，李新川，郑坤；
4. 专利名称：一种基于混合数据库的知识图谱高效组织方法，专利号：ZL201811005179.4，专利授权日：2021年07月20日，发明人：李新川，姚宏，陈仁谣，李圣文，梁庆中，郑坤；
5. 专利名称：一种基于结构信息与文本描述的知识图谱表示学习方法，专利号 ZL201811011812.0，专利授权日：2021年07月20日，发明人：姚宏，李圣文，李清涛，刘超，董理君，康晓军
6. 专利名称：一种面向案情的关键词提取方法及系统，专利号：ZL201810883678.7，专利授权日： 2021年05月28日，发明人：康晓军，姚宏，姜江，李新川，李圣文，梁庆中；
7. 专利名称：一种基于卷积神经网络的评论数据情感分类方法及系统，专利号 ZL201810918698.3，专利授权日：2020年09月29日，发明人：郑坤，姚宏，李润佳，刘超，董理君，康晓军；
8. 专利名称：基于释义基元词的中英跨语言词汇表征学习方法及系统，专利号 ZL201811158922.X，专利授权日：2020年08月07日，发明人：梁庆中，姚宏，李兵，郑坤，刘超，董理君；
9. 专利名称：一种基于神经网络的司法领域关系抽取方法，专利号 ZL201910145396.1，专利授权日：2021年04月13日，发明人：梁庆中，王晨威，郑坤，姚宏，刘超，董理君，康晓军，李新川，李圣文；
10. 专利名称：一种基于张量的知识图谱表示学习方法及系统，专利号 ZL201910148591.X，专利授权日：2021年04月09日，发明人：董理君，赵东阳，康晓军，李新川，李圣文，梁庆中，郑坤，姚宏，刘超；
11. 专利名称：基于分层知识图谱注意力模型的文本关系抽取方法及系统，专利号 ZL201010090408.5，专利授权日：2020年12月25日，发明人：李新川，镇诗奇，李圣文，梁庆中，郑坤，姚宏，刘超，董理君，康晓军；
12. 专利名称：基于长短时记忆神经网络的人体活动类型分类方法及系统，专利号：ZL201910152363.X，专利授权日：2020年11月27日，发明人：龚君芳，李润佳，梁庆中，郑坤，姚宏，刘超，董理君，康晓军，李新川；
13. 专利名称：一种考虑主题的机器阅读理解模型生成方法与系统，专利号ZL201910211906.0，专利授权日：2020年09月29日，发明人：康晓军，龚启航，李新川，李圣文，梁庆中，郑坤，姚宏，刘超，董理君；
主要科研项目：
[1] “双曲空间中知识图谱联合文本的动态表征学习”，（61972365），2020.01-2023.12，来源：国家自然科学基金委员会 信息科学部 面上项目，（项目经费60.00 万元），主持；
[2] “云雾混合计算环境的资源管理与任务调度研究”，（61672474）, 2017.01-2020.12, 来源：国家自然科学基金委员会 信息科学部 面上项目，（项目经费62.00 万元），主持；
[3] “车辆自组织网络中定向路由和激励机制研究”，（61272470），2013.01-2016.12，来源：国家自然科学基金委员会 信息科学部 面上项目，（项目经费80.00 万元），主持；
[4] “重点地区页岩气富集规律与勘探评价方法”，（2017ZX05036-001-010），2017.01- 2020.12，国家科技重大专项，序2；
