Hi, there! I am currently an Associate Professor with School of Information and Control Engineering at Qingdao University of Technology, Qingdao, China. I received the B.E. degree in computer science and technology from Ocean University of China in 2008, the M.S. and Ph.D, degree in computer application technology from Ocean University of China in 2010 and 2014, respectively.

Employment

  • 2020.01 - Present, Associate Professor, School of Information and Control Engineering, Qingdao University of Technology
  • 2018.03 - 2019.12, Assitant Professor, School of Information and Control Engineering, Qingdao University of Technology
  • 2015.10 - 2018.02, Vice Director, Department of Network Engineering, School of Computer Engineering, Qingdao University of Technology
  • 2014.01 - 2018.02, Assitant Professor, School of Computer Engineering, Qingdao University of Technology

Research

My research interests lie in AI for Internet of Things (IOT), Urban Computing and Signal Processing . I am currently working on the following topics.
  • Imputation and prediction for time series data
  • Modelling and classification for industrial audio data
  • AI applications for large language models

Grants

  • Testing and Certification Oriented General Intelligent Analysis System Development. Enterprise-Funded Project. 2024. Principle Investigator.
  • Research and development of basic machine learning library based on C++ under Kylin operating system, Changchun Institute of Optics, Fine Mechanics and Physics. 2022. Principle Investigator.
  • Research on key technology for spatial-temporal joint reconstruction of air quality, National Nature Science Foundation of China, 2020.01 - 2022.12, Principle Investigator.
  • Research on land use change simulation model considering the spatial differentiation of urban function in the study area, Shandong Provincial Natural Science Foundation, 2019.07 - 2022.06, Principle Participator.
  • Research on key technology of Energy-efficient and accurate localization for mobile underwater acoustic sensor networks, Shandong Provincial Natural Science Foundation, 2016.11 - 2018.11, Principle Investigator.
  • Key Technology Research of Big Data Processing Model for Sensor Networks, National Nature Science Foundation of China, 2014.01 - 2017.12, Participator.

Publications

Please refer to full paper list on my Google Scholar
  1. Lin Jietao, Keyong Hu*, Yuan Tianlong, Chen Wenqian and Yang Xin. Remote Sensing Image Change Detection Based on Efficient Attention and Multi-level Feature Aggregation, Journal of Beijing University of Posts and Telecommunications. 2024. To appear
  2. Keyong Hu, Guo Xiaolan, Liu Guoxiao, Yang Xin, and Wang Xupeng. Spatio-temporal Matrix Factorization Based Air Quality Inference, Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 56 (5), pp. 146-155. 2024.
  3. Yuan Tianlong, Lin Jietao, Keyong Hu*, Chen Wenqian, and Hu Yifan. Domain Adaptive Urban Garbage Detection Based on Attention and Confidence Fusion, Information, 15 (11). 2024.
  4. Keyong Hu, Xiaolan Guo, Xueyao Gong, Xupeng Wang, Junqing Liang, Daoquan Li. Air quality prediction using spatio-temporal deep learning. Atmospheric Pollution Research. 2022, 13(10), 101543.
  5. Yifan Hu, Keyong Hu. An REC-MPSO-Based Computing Resource Cooperative Migration Method for Marine IoT. Arabian Journal for Science and Engineering. Online at https://doi.org/10.1007/s13369-022-06677-w.
  6. Keyong Hu, Xiaolan Guo, Xueyao Gong, Yifan Hu and Jerry Chun-Wei Lin. Spatial-Temporal Air Quality Inference based on Matrix Factorization. Proc. 2020 IEEE International Conference on Communications, ICC 2022, Seoul, Korea. May 16, 2022 - May 20, 2022. (CCF Rank C)
  7. Keyong Hu, Xianglin Song, Xueyao Gong, Zhongwei Sun and Chuanwang Song. Corruption Tolerant Localization for Underwater Acoustic Sensor Networks. Journal of Beijing University of Posts and Telecommunications. 2022, 45(1), pp. 61-70. (in Chinese).
  8. Keyong Hu, Xianglin Song, Xiaolan Guo, Zhongwei Sun and Chuanwang Song. Self-Localization Algorithm for Drifting-Restricted Underwater Acoustic Sensor Networks under Mixed Noise. Journal of Beijing University of Posts and Telecommunications. 2021, 44(6), pp. 63-73. (in Chinese).
  9. Keyong Hu, Xianglin Song, Zhongwei Sun, Hanjiang Luo and Zhongwen Guo. Packet Corruption Tolerant Localization for Underwater Acoustic Sensor Networks. Proc. 2020 IEEE Wireless Communications and Networking Conference, WCNC 2020, Seoul, Korea. May 25, 2020 - May 28, 2020.(CCF Rank C)
  10. Zhongwei Sun, Xiuyan Liu, Keyong Hu*, Zhuang Li and Jing Liu. An Efficient Multi-Label SVM Classification Algorithm by Combining Approximate Extreme Points Method and Divide-and-Conquer Strategy. IEEE Access. 2020, 8, pp. 170967-170975
  11. Keyong Hu, Xianglin Song, Zhongwei Sun, Hanjiang Luo and Zhongwen Guo. Localization based on MAP and PSO for drifting-restricted underwater acoustic sensor networks. Sensors. 2019, 19(1), 71.
  12. Keyong Hu, Zhongwen Guo, Guobing Ma, Wei Zhou and Zhingwei Sun. Complex Virtual Instrument Model for Ocean Sensor Networks. IEEE Access. 2018, 6, pp. 21934-21944.
  13. Keyong Hu, Zhongwei Sun, Hanjiang Luo, Wei Zhou and Zhongwen Guo. STVF: Spatial-Temporal Variational Filtering for Localization in Underwater Acoustic Sensor Networks. Sensors. 2018, 18(7), 24.
  14. Zhongwei Sun, Keyong Hu*, Tong Hu, Jing Liu, and Kai Zhu. Fast Multi-Label Low-Rank Linearized SVM Classification Algorithm Based on Approximate Extreme Points. Ieee Access. 2018, 6, pp. 42319-42326.
  15. Zhongwen Guo, Keyong Hu*, Yongguo Jiang and Zhaosui Sun. DPOI: Distributed software system development platform for ocean information service. Journal of Ocean University of China. 2015, 14(1), pp. 65-74.

Service

  • Reviewer for International Journal of Communication Systems(IJCS)
  • Reviewer for Journal of Ambient Intelligence and Humanized Computing(AIHC)
  • Reviewer for Journal of Network and Computer Applications(JNCA)
  • PC member and reviewer for ACM TURC 2020 - SIGAPP Symposia
  • PC member and reviewer for ACM TURC 2019 - SIGAPP Symposia

Awards

  • Shandong Computer Federation "Inspur Star Cup" Outstanding Master's Thesis award (Xiaolan Guo), 2024
  • Shandong Computer Federation "Inspur Star Cup" Outstanding Master's Thesis award (Xianglin Song), 2022
  • Outstanding scientific and technological innovation award of graduate students in Shandong Province, 2013

Supervised Master students:

  • Xiaoping Xiao, 09/2024 - present
  • Xingchen Ren, 09/2024 - present
  • Jingxuan Zhang, 09/2023 - present
  • Zihe Liu, 09/2023 - present
  • JinZhang Zou, 09/2022 - present
  • Xin Meng, 09/2022 - present
  • Tianlong Yuan, 09/2022 - present
  • Jietao Lin, 09/2022 - present
  • Guoxiao Liu, 09/2021 - 06/2024
  • Xueyao Gong, 09/2020 - 06/2023
  • Xiaolan Guo, 09/2019 - 06/2022
  • Xianglin Song, 09/2018 - 12/2020