副教授，2013年获香港城市大学博士学位。长期致力于资源优化、博弈论、移动网络和智能无人系统的研究，作为项目负责人和核心成员参与了多项国家及江苏省重点研发计划、国家自然科学基金、陆军装备部、中国民航总局等项目，具有丰富的项目研究和技术开发经验。迄今发表相关论文60余篇，包括IEEE Journal on Selected Areas in Communications、IEEE/ACM Transactions on Networking、IEEE Transactions on Mobile Computing、IEEE Transactions on Communications、IEEE Transactions on Wireless Communications、IEEE Transactions on Vehicular Technology等国际知名期刊，论文被引用超600次。获2015年国际期刊IEEE Transactions on Communications的审稿人模范奖、2021年中国百篇最具影响国际学术论文奖、和2022年江苏省信息技术应用学会青年科技奖二等奖。

 

研究方向：

学科研究方向一：计算机科学与技术

资源优化、移动计算、物联网、下一代无线网络

学科研究方向二：软件工程

无人系统、多智能体协同、决策优化

发表学术论文,出版专著情况：

代表性期刊：

[1] J. Li, X. B. Zhai, H. Qian, R. Zhang, X. Liu, Joint Trajectory Design and Power Allocation in NOMA-based UAV Networks, IEEE Transactions on Vechicular Technology, to appear, 2023.

[2] B. Li, X. Song, T. Dai, W. Wu, D. Zhu, X. B. Zhai, H. Wen, Q. Lin, H. Chen and K. Cai, Trust Management Strategy for Digital Twins in Vehicular Ad Hoc Networks, IEEE Journal on Seleteded Areas in Communications, to appear, 2023.

[3] G. Chen, X. B. Zhai, and C. Li, Joint Optimization of Trajectory and User Association via Reinforcement Learning for UAV-aided Data Collection in Wireless Networks, IEEE Transactions on Wireless Communications, vol. 22, no. 5, pp. 3128-3143, 2023.

[4] X. Liu, Y. Yu, B. Peng, X. B. Zhai, Q. Zhu, and V. C. M. Leung, RIS-UAV Enabled Worst-case Downlink Secrecy Rate Maximization for Mobile Vehicles, IEEE Transactions on Vechicular Technology, vol. 72, no. 5, pp. 6129-6141, 2023.

[5] Q. Wu, X. B. Zhai, X. Liu, C. Wu, F. Lou and H. Zhang, Performance Tuning via Lean Measurements for Acceleration of Virtualized Network Functions, IEEE/ACM Transactions on Networking, vol. 31, no. 1, pp. 366-379, Jul. 2023.

[6] X. B. Zhai, X. Liu, C. Zhu, K. Zhu and B. Chen, Fast Admission Control and Power Optimization with Adaptive Rates for Communication Fairness in Wireless Networks, IEEE Transactions on Mobile Computing, vol. 20, no. 3, pp. 1017-1026, 2021. (full color)

[7] X. Liu, X. B. Zhai, W. Lu and C. Wu, QoS-guarantee Resource Allocation for Multibeam Satellite Industrial Internet of Things with NOMA, IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 2052-2061, 2021.

[8] X. Zhai, X. Guan, C. Zhu, L. Shu and J. Yuan, Optimization Algorithms for Multi-Access Green Communications in Internet of Things, IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1739-1748, Jun. 2018.

[9] X. Zhai, C. W. Tan, Y. Huang and B. D. Rao, Transmit Beamforming and Power Control for Optimizing the Outage Probability Fairness in MISO Networks, IEEE Transactions on Communications, vol. 65, no. 2, pp. 839-850, Feb. 2017.

[10] X. Zhai, J. Yang and L. Cui, Wireless Network Localization via Alternating Projections with TDOA and FDOA Measurements, Ad Hoc & Sensor Wireless Networks, vol. 38, no. 1-4, pp. 1-20, 2017.

[11] 翟象平, 面向工业4.0 的物联网安全教学, 计算机教育, vol. 1, pp. 84-86, 2016.

[12] X. Zhai, L. Zheng and C. W. Tan, Energy-infeasibility tradeoff in cognitive radio networks: Price-driven spectrum access algorithms, IEEE Journal on Selected Areas in Communications, vol. 32, no. 3, pp. 528-538, Mar. 2014.

部分会议论文：

[1] G. Yang, H. Zheng, X. B. Zhai, and J. Zhu, Energy-Efficient Cellular Offloading Optimization for UAV-Aided Networks. NCAA, pp. 286-301, 2023.

[2] M. Lu, X. B. Zhai, and X. Li, Long Sequence Time-Series Forecasting via Gated Convolution and Temporal Attention Mechanism, IEEE UIC, pp. 1195-1200, 2022.

[3] L. He, H. Zheng, and X. B. Zhai, REUT: A Retinex-Inspired Low-Light Image Enhancer for UAV Tracking at Night, IEEE UIC, pp. 1051-1057, 2022.

[4] B. Liu, X. B. Zhai, B. Du and J. Zhu, Formation Control Optimization via Leader Selection for Rotor Unmanned Aerial Vehicles, IEEE NCAA, pp. 44-55, 2022.

[5] C. Sun, X. B. Zhai, J. Zhu and X. Zhao, On Efficient Path Generation Method of UAV Through Multiple Waypoints, ICGNC, to appear, 2022.

[6] C. Yao, J. Zhu and X. B. Zhai, Fast Consensus of Second-order Multi-agent Systems Based on Past State Prediction, ICGNC, to appear, 2022.

[7] Y. Shi, C. Yi, B. Chen, C. Yang, X. B. Zhai and J. Cai, Closed-Loop Control of Edge-Cloud Collaboration Enabled IIoT: An Online Optimization Approach, IEEE ICC, pp. 5682-5687, 2022.

[8] G. Chen, X. B. Zhai, and C. Li, Interference-Aware Trajectory Design for Fair Data Collection in UAV-Assisted IoT Networks by Deep Reinforcement Learning, IEEE HPCC, pp. 345-352, 2021.

[9] J. Li, X. B. Zhai, and X. Liu, Joint User Scheduling and Trajectory Planning for QoS in UAV-based NOMA Networks, IEEE HPCC, pp. 949-954, 2021.

[10] D. Wu, J. Xu, J. Yuan, and X. Zhai, A Novel Deployment Method for UAV-mountedMobile Base Stations, IEEE MSN, pp. 40-47, 2021.

[11] D. Song, X. B. Zhai, X. Liu, and C. W. Tan, Jointly Optimal Fair Data Collection and Trajectory Design Algorithms in UAV-Aided Cellular Networks, IEEE WCNC, pp. 1-6, 2021. (talk)

[12] R. Wang, X. B. Zhai, Y. Zhao, and X. Zhao, Delivery Optimization for Unmanned Aerial Vehicles Based on Minimum Cost Maximum Flow With Limited Battery Capacity, WASA, no. 3, pp. 77-85, 2021.

[13] Y. Zhang, X. Li, J. Qiu, X. B. Zhai, and M. Wei, GFU-Net: A Deep Learning Approach for Automatic Metal Crack Detection, IEEE NCAA, pp. 375–388, 2021.

[14] C. Han, Q. Zhang and X. Zhai, Priority based Multi-user Task Scheduling for Vehicular Cloud Services, ICCC, pp. 110-114, 2020.

[15] K. Chen, H. Lu, X. B. Zhai, C. Li, Y. Zhao and B. Chen, Trajectory Optimization Under Constrained UAV-Aided Wireless Communications with Ground Terminals, AICON, pp. 350-362, 2019.

[16] L. Li, X. B. Zhai, B. Chen and C. Li, Multiple Task Assignment for Cooperating Homogeneous Unmanned Aerial Vehicles, MLICOM, pp. 211-221, 2019.

[17] H. Lu, K. Chen, X. Zhai, B. Chen and Y. Zhao, Tradeoff Between Duration and Energy Optimization for Speed Control of Quadrotor Unmanned Aerial Vehicle, IEEE ISPCE-CN, pp. 1-5, 2018.

[18] X. Zhai, E. Xu, X. Liu, C. Zhu, K. Zhu and B. Chen, Adaptive Optimization with Max-min Achievable Rate Fairness in Mobile Cloud Networking, IEEE ICC, pp. 1-6, 2018.

[19] X. Zhai and C. W. Tan, Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access, IEEE Globecom, pp. 1-6, 2017.

[20] T. Zhou, B. Chen, C. Zhu and X. Zhai, TPAHS: A Truthful and Profit Maximizing Double Auction for Heterogeneous Spectrums, IEEE Trustcom, pp. 27-33, 2016.

[21] X. Guan, X. Zhai, C. Zhu and J. Yuan, Total Power Minimization for High Rate Communication in Multi-channel Multi-user Wireless Networks, IEEE HPCC, pp. 824-830, 2016.

承担的科研项目情况：

经费充足，项目充沛。主持国家青年自然科学基金1项、江苏省科学基金2项、博士后基金1项、横向课题3项。参与国家及江苏省重点研发项目共3项。

指导研究生情况：

李丽、宋丹、汪睿、程卓、陈功、李佳、刘步、孙诚、傅丽华、陆梦俊、李玉然、付爽、蒋柳沙、赵康玮

备注：

Welcome to Bryce Zhai's Homepage

http://smartworkware.com/blueice

2010.8 - 2013.11

香港城市大学   计算机科学   博士研究生毕业   哲学博士学位

2002.9 - 2006.7

山东大学   计算机科学与技术   大学本科毕业   工学学士学位

2009.7 - 2010.7

中科创达软件股份有限公司

2006.7 - 2009.7

日电卓越软件科技(北京)有限公司

物联网、移动网络、边缘计算、资源优化、空间分析