Dr. Xiangping Bryce ZHAI

Associate Professor

College of Computer Science and Technology
Nanjing University of Aeronautics and Astronautics
Address: Jiangjun Avenue No. 29, Jiangning District, Nanjing 211106, Jiangsu, P. R. China
Phone: +86-025-84896490-16226;    Fax: +86-025-84892848
Email: blueicezhaixp[AT]nuaa.edu.cn

Note: We are recruiting Master students. Candidates are expected to be proficient in mathematics (such as discrete maths, graph theory, probability theory), have programming experience and some knowledge of networking and signal processing. Please contact me with your CV and transcripts indicating interests.

Biography

Xiangping Bryce Zhai is an Associate Professor of the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, P. R. China. He was a Post-Doctoral Fellow with the City University of Hong Kong. He received the Bachelor degree in Engineering from Shandong University in 2006 and the Ph.D. degree from City University of Hong Kong in 2013. Previously, he was a software engineer in NEC China Co.,Ltd. from 2006 to 2009 and a senior software engineer in Thunder Software Technology Co., Ltd. from 2009 to 2010.

Research Interests

Internet of Things, mobile networks, edge computing, resource optimization, and spatial analytics.

Selected Publication

[ORCID]   [DBLP]   [Full List]

Journal

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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)
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Conference

  • L. Fu, X. B. Zhai, and J. Zhu, GLFormer Efficient Global and Local Transformer with Lightweight Decoder for Semantic Segmentation, EIECT, to appear, 2023.
  • C. Lu, H. Zheng, J. Zhang, and X. B. Zhai, Integrated Data Preprocessing Strategies for Improved Water Demand Prediction A Case Study with the Informer Model， EIECT, to appear, 2023.
  • G. Yang, H. Zheng, X. B. Zhai, and J. Zhu, Energy-Efficient Cellular Offloading Optimization for UAV-Aided Networks. NCAA, pp. 286-301, 2023.
  • Y. Zhang, H. Zheng, and X. B. Zhai, Deep Reinforcement Learning Based UAV Mission Planning with Charging Module. CNIOT, pp. 658-662, 2023.
  • 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.
  • 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.
  • 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.
  • C. Sun, X. B. Zhai, J. Zhu and X. Zhao, On Efficient Path Generation Method of UAV Through Multiple Waypoints, ICGNC, to appear, 2022.
  • 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.
  • 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.
  • 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.
  • 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.
  • D. Wu, J. Xu, J. Yuan, and X. Zhai, A Novel Deployment Method for UAV-mountedMobile Base Stations, IEEE MSN, pp. 40-47, 2021.
  • 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)
  • 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.
  • 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.
  • Z. Chen, H. Zheng, X. B. Zhai and K. Zhang, Obscuration Resistant Method For Unmanned Air Vehicle Object Tracking, ACAI, vol. 6, pp. 1-6, 2021.
  • K. Zhang, H. Zheng, Z. Chen and X. Zhai, Cooperative Task Assignment of Heterogeneous UAVs in SEAD Mission Using A Mutil-Type Genes Chromosome Genetic Algorithm, ACAI, vol. 4, pp. 1-6,2021.
  • C. Han, Q. Zhang and X. Zhai, Priority based Multi-user Task Scheduling for Vehicular Cloud Services, ICCC, pp. 110-114, 2020.
  • 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.
  • L. Li, X. B. Zhai, B. Chen and C. Li, Multiple Task Assignment for Cooperating Homogeneous Unmanned Aerial Vehicles, MLICOM, pp. 211-221, 2019.
  • 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.
  • 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.
  • X. Zhai and C. W. Tan, Rate-Constrained Energy Minimization in Networks with Multiple Mobile Network Operator Access, IEEE Globecom, pp. 1-6, 2017.
  • 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.
  • 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.
  • Q. Wang, X. Chang, X. Zhai and Y. Li, A compressive sensing based clustering scheme for UAS-aided networks, Chinacom, pp. 632-636, 2015.
  • X. Zhai, L. Zheng, J. Wang and C. W. Tan, Optimization algorithms for epidemic evolution in broadcast networks, IEEE WCNC, pp. 1574-1579, 2013.
  • X. Zhai, L. Zheng and C. W. Tan, Convex Relaxation Algorithms for Energy-Infeasibility Tradeoff in Cognitive Radio Networks, IEEE WiOpt, pp. 396-403, 2013.

Talks

Book & Chapter

  • 李聪端，翟象平，《C语言程序设计》, 延边大学出版社, 2020.
  • X. Zhai, C. W. Tan and B. D. Rao, Energy Minimization by Power Control in Heterogeneous Cognitive Radio Networks, a book chapter in Cognitive Radio Networks: Performance, Applications and Technology, Editor: C. W. Tan, Nova Science Publishers, Inc, 2017.
  • X. Zhai, L. Zheng and C. W. Tan, Energy-efficient Power Control for Spectrum Sharing in Next-Generation Wireless Networks, a book chapter in Spectrum Sharing in Wireless Networks: Fairness, Efficiency, and Security, Editors: J. D. Matyjas, S. Kumar and F. Hu, Taylor & Francis LLC, CRC Press, 2016.

Thesis

  • X. Zhai, Resource-constrained optimization and algorithms in wireless networks, Ph.D. Thesis, Nov. 2013, City University of Hong Kong.

Academic Services

Reviewer

Technical Program Committee

Students

Graduate Students

  • 2022- : Kangwei Zhao, Shuang Fu, Liusha Jiang
  • 2021- : Mengjun Lu, Yuran Li, Lihua Fu
  • 2020-2023: Gong Chen, Bu Liu, Jia Li, Cheng Sun
  • 2019-2022: Rui Wang, Dan Song, Zhuo Cheng
  • 2018-2021 : Li Li
  • 2017-2020: Kun Chen

Undergraduate Students

Teaching

Undergraduates

Graduates