Huyujiao Associate professor

• Department: School of Data Science and Artificial Intelligence
• Gender: female
• BirthDate: 1993-12
• Career: Associate professor
• Degree: PhD
• Academic Credentials: PhD
• Graduate School: Northwestern Polytechnical University
• Tel:
• Email: huyujiao@chd.edu.cn
• Address School:
• PostCode School:
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• Education experience:

  • Ph.D. in Computer Science, Northwestern Polytechnical University, 2016–2021
     (Joint Ph.D. program with the School of Computing, National University of Singapore, 2018–2020)

  • B.Eng. in Computer Science, Northwestern Polytechnical University, 2012–2016

  
  

Yujiao Hu is an Associate Professor and a supervisor for master’s and Ph.D. students at the School of Data Science and Artificial Intelligence, Chang’an University. She was selected for the Chang’an University Young Talent Recruitment Program. Dr. Hu leads or plays a key role in several national and provincial research projects. Her work focuses on intelligent collaboration of unmanned systems and intelligent scheduling technologies for computing-network convergence. Many of her research outcomes have been successfully applied in key national industries.

Dr. Hu has published over 20 high-level academic papers, holds more than 10 authorized or pending invention patents, and has led the development of 3 industry standards. She serves in important academic roles within leading organizations such as IEEE, CCF, and the China Association for Science and Technology. She has received multiple academic awards and has been selected for talent programs including Jiangsu Province’s “Entrepreneurship and Innovation Doctor Program” and the Jiangsu Talent Collaborative Innovation Alliance.

Please Attention: At present, our research group is not open to international students, including undergraduate, master’s, doctoral, and exchange programs. Future international admission opportunities will be announced once relevant policies and conditions are in place. Thank you for your understanding and interest. 

My research focuses on embodied intelligence, large models, intelligent collaboration of unmanned aerial/ground vehicles, digital twins, and edge computing. 

Specifically, I am dedicated to addressing key challenges and critical issues in AI-empowered unmanned systems. My work targets the prominent difficulties in efficiency and limited computing power faced by unmanned swarms, with a focus on advancing task-driven intelligent collaboration technologies for unmanned swarms, as well as innovative scheduling of computing-network resources to support practical applications of unmanned systems in complex mission scenarios.

I sincerely welcome undergraduate, master’s, and Ph.D. students who are passionate about these research areas and eager to grow and challenge themselves on the scientific path. No matter your starting point — as long as you have enthusiasm and a sense of responsibility — I am committed to providing patient guidance and working alongside you. Our team offers excellent lab facilities, rich research resources, and opportunities for both domestic and international collaboration. Most importantly, we will strive together to ensure you achieve meaningful results — with papers, projects, and personal growth along the way. If you are interested, feel free to contact me at huyujiao@chd.edu.cn. I look forward to hearing from you!

• Research on intelligent collaborative models and algorithms for unmanned aerial and ground vehicles in military and civilian scenarios

• Large-model-driven construction and real-time updating methods for digital twins of unmanned aerial and ground vehicles

• Research on intelligent scheduling models and methods for unmanned systems in the context of low-altitude economy

• Research on computing-network integrated intelligent scheduling strategies and mechanisms empowered by large models

https://scholar.google.com.hk/citations?hl=zh-CN&user=yJnP8wsAAAAJ

Selected Publications：

1. Mengjie Lee,  Yining Zhu, Yujiao Hu#, Yan Pan, Jinchao Chen, Yuan Yao, Gang Yang, Xingshe Zhou. Real-Time Enhancements of Digital Twins with Incremental Time Series Data in Networked Air-Ground Cooperative UAV Swarm Systems [J]. IEEE Transactions on Intelligent Transportation Systems. 2025. (中科院1区, CCF B类推荐期刊, 通讯作者）

2. Yujiao Hu; Yuan Yao, Jinchao Chen, Zhihao Wang, Qingmin Jia, Yan Pan. Solving Scalable Multi-Agent Routing Problems With Reinforcement Learning [J]. IEEE Transactions on Neural Networks and Learning Systems. 2025. (中科院1区，CCF B类推荐期刊）

3. Yujiao Hu, Yining Zhu, Huayu Zhang, Yan Pan, Qingmin Jia, Renchao Xie, F.Richard Yu. Deterministic Scheduling and Network Structure Optimization for Time-Critical Computing Tasks in Industrial IoT [J]. IEEE Transactions on Networking. 2025. (中科院1区，CCF A类推荐期刊）

4. Yuan Yao, Yujiao Hu#, Yi Dang, Wei Tao, Kai Hu, Qiming Huang, Zhe Peng, Gang Yang, Xingshe Zhou. Workload-aware performance model based soft preemptive real-time scheduling for neural processing units [J]. IEEE Transactions on Parallel and Distributed Systems. 2025. (中科院1区，CCF A类推荐期刊，通讯作者）

5. Jinchao Chen, Yang Wang, Ying Zhang, Yantao Lu, Qiuhao Shu, Yujiao Hu#. Extrinsic-and-Intrinsic Reward-Based Multi-Agent Reinforcement Learning for Multi-UAV Cooperative Target Encirclement [J]. IEEE Transactions on Intelligent Transportation Systems. 2025. (中科院1区, CCF B类推荐期刊, 通讯作者, ESI高被引）

6. Yan Pan, Junhui Gao, Jiashun Duan, Juan Shi, Bin Guo, Yunji Liang, Yujiao Hu#. Pioneering Cooperative Air-Ground Instant Delivery using UAVs and Crowdsourced Couriers [C]. Proceedings of the 2025 ACM international joint conference on Pervasive and Ubiquitous Computing. 2025. (ACM UbiComp’25, CCF A类推荐会议，通讯作者）

7. Yujiao Hu, Qingmin Jia, Jinchao Chen, et al. CoRaiS: Lightweight Real-Time Scheduler for Multi-Edge Cooperative Computing [J]. IEEE Internet of Things Journal. 2024. (中科院1区，CCF推荐)

8. 胡玉姣，黄韬，贾庆民，谢人超，刘韵洁. 通算存智一体协同的未来网络模型[J]. 通信学报. 2024.   (CCF B中文核心期刊，计算机网络方向中文顶刊）

9. Yujiao Hu, Qingmin Jia, Yuan Yao, et al. Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review [J]. IEEE Internet of Things Journal. 2024. (中科院1区，CCF推荐, ESI 高被引)

10. Mengjie Lee*, Yujiao Hu*#, Yining Zhu, Xiaomao Zhou, Yue Zhao, Xingshe Zhou. Learn to Update Digital Twins with Incremental Scenarios [C]. 22^nd ACM MobiSys NetAISys, 2024. (CCF B会议)

11. Xiaomao Zhou，Yujiao Hu#, Qingmin Jia, Renchao Xie. Cross-Domain Integration for General Sensor Data Synthesis: Leveraging LLMs and Domain-Specific Generative Models in Collaborative Environments [J]. IEEE Sensors Journal. 2024. (中科院2区，通讯作者)

12. 贾庆民，胡玉姣，张华宇，等. 确定性算力网络研究[J]. 通信学报. 2022. (CCF B中文核心期刊，计算机网络方向中文顶刊）

13. Yujiao Hu, Qingmin Jia, Hui Liu, et al. 3CL-Net: A Four-in-One Networking Paradigm for 6G System [C]. 2022 5th International Conference on Hot Information-Centric Networking, 2022. (国际会议Oral Presentation, Best Paper Award)

14. 胡玉姣，贾庆民，孙庆爽，谢人超，黄韬. 融智算力网络及其功能架构[J]. 计算机科学. 2022. (CCF B中文核心期刊）

15. Yujiao Hu, Zhen Zhang, Yuan Yao, et al. A Bidirectional Graph Neural Network for Traveling Salesman Problems on Arbitrary Symmetric Graphs [J]. Engineering Applications of Artificial Intelligence. 2021. (中科院1区, CCF推荐)

16. Yujiao Hu, Yuan Yao, Wee Sun Lee. A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs.Knowledge-Based Systems[J]. 2020. (中科院1区，CCF推荐)

17. Yujiao Hu, Yuan Yao, Qian Ren, Xingshe Zhou. 3D Multi-UAV Cooperative Velocity-aware Motion Planning [J]. Future Generation Computer System. 2019. (中科院1区, CCF推荐)

18. Yuan Yao, Bin Xiao, Gang Yang, Yujiao Hu, et al. Power Control Identification: A Novel Sybil Attack Detection Scheme in VANETs Using RSSI [J]. IEEE Journal on Selected Areas in Communications. 2019. (中科院1区, CCF A类推荐）

19. Yujiao Hu, Xingshe Zhou, Yuan Yao. Decentralized velocity-aware motion planning for multi-agent coordination [C]. 13th IEEE International Conference on Service-Oriented System Engineering, 2019.  (国际会议Oral Presentation)

• Associate Professor, Chang’an University; Master’s and Ph.D. Supervisor, 2025–present

• Associate Research Fellow, Core Scientific Innovation Post, Purple Mountain Laboratories, 2024–2025

• Assistant Research Fellow, Core Scientific Innovation Post, Purple Mountain Laboratories, 2021–2024