张维庭

基本信息

教育背景

工作经历

2022.04-至今，副教授，硕士生导师，北京交通大学，电子信息工程学院，移动专用网络国家工程研究中心

2021.12-至今，副教授，北京交通大学，电子信息工程学院，移动专用网络国家工程研究中心

研究方向

• 信息处理与人工智能
• 通信工程
• 人工智能
• 网络与信息安全

招生专业

• 信息与通信工程硕士
• 通信工程（含宽带网络、移动通信等）硕士
• 人工智能硕士
• 网络与信息安全硕士

科研项目

国家自然科学基金“青年基金”: 工业互联网多形态业务流确定性传输调度机制研究，2023-2025，主持

博士后创新人才支持计划: 工业异构融合网络确定性传输调度理论与方法，2022-2024，主持

中国博士后科学基金“面上”: 智能驱动工业确定性网络传输调度技术研究，2022-2024，主持

校科技基金人才基金: 智融标识网络资源协同适配机理研究，2022-2024，主持

国家自然科学基金重大项目：智算融合新型网络体系理论与总体架构，2024-2028，参与

自然科学横向项目：面向新型云网融合的动态组网与路由关键技术研究与验证，2023-2024，参与

自然科学横向项目：面向算网融合的跨域安全调度和协同防护，2023-2025，参与

国家自然科学基金重大研究计划集成项目：工业互联网全要素资源互联、协同与融合集成演示验证，2023-2024，参与

基本科研业务费-国家级平台专项：融算标识网络理论与关键技术研究，2023-2025，参与

基本科研业务费-优秀青年团队培育项目：智算融合网络基础理论研究与应用验证，2023-2025，参与

国家重点研发计划课题：多模态边缘转发与算力增强，2022-2025，参与

国家重点研发计划项目：多模态网络新型可靠传输控制关键技术研究与验证，2022-2025，参与

中国工程院战略研究与咨询项目: 重点行业网络空间安全现状与发展战略研究, 2022-2023，参与

中国工程院战略研究与咨询项目: 网络智慧化发展战略研究, 2022-2023，参与

国家重点研发计划课题：工业异构网络融合体系架构，2019-2022，参与

国家自然科学基金“面上”：面向控制和安全应用的工业无线传感器网络关键技术研究，2018-2021，参与

北京市科委：无源无线传感关键技术研发及应用，2017-2018，参与

教学工作

研究生课程：《论文写作与学术规范》、《互联网技术与工程实践》

本科生课程：《下一代互联网关键技术》、《物联网技术》、《工程经济与项目管理》

论文/期刊

期刊论文

W. Zhang, N. Tang, D. Yang, R. Guo, H. Zhang, X. Shen. Det(Com)2: Deterministic Communication and Computation Integration Towards AIGC Services. IEEE Wireless Communications Magazine, Early Access, 2024.

W. Zhang, D. Yang, C. Zhang, Q. Ye, H. Zhang, X. Shen. (Com)2Net: A Novel Communication and Computation Integrated Network Architecture. IEEE Network Magazine, Early Access, 2024.

W. Zhang, H. Liang, Y. Xu, and C. Zhang. Reliable and Privacy-Preserving Federated Learning with Anomalous Users. ZTE Communications, 21(1): 15-24, 2023.

张维庭, 孙呈蕙, 王洪超, 代嘉宁. 算网资源智能适配与融合调度方法. 电信科学, 2023, 39(09): 12-20.

W. Zhang, D. Yang, W. Wu, H. Peng, N. Zhang, H. Zhang, and X. Shen. Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach. IEEE Journal on Selected Areas in Communications, 39(12): 3688-3703, 2021.

W. Zhang, D. Yang, H. Peng, W. Wu, W. Quan, H. Zhang, and X. Shen. Deep Reinforcement Learning Based Resource Management for DNN Inference in Industrial IoT. IEEE Transactions on Vehicular Technology, 70(8): 7605-7618, 2021.

W. Zhang, D. Yang, Y. Xu, X. Huang, J. Zhang, M. Gidlund. DeepHealth: A Self-Attention Based Method for Instant Intelligent Predictive Maintenance in Industrial Internet of Things. IEEE Transactions on Industrial Informatics, 17(8): 5461-5473, 2020.

W. Zhang, D. Yang, H. Wang. Data-driven Methods for Predictive Maintenance of Industrial Equipment: A Survey. IEEE Systems Journal, 13(3): 2213-2227, 2019.

W. Zhang, D. Yang, H. Wang, X. Huang, M. Gidlund. CarNet: A Dual Correlation Method for Health Perception of Rotating Machinery. IEEE Sensors Journal, 19(16): 7095-7106, 2019.

C. Zhang, M. Zhao, W. Zhang*, Q. Fan, J. Ni, and L. Zhu. Privacy-preserving Identity-based Data Rights Governance for Blockchain-empowered Human-centric Metaverse Communications. IEEE Journal on Selected Areas in Communications, 42(2): 963-977, 2024.

Z. Ai, W. Zhang*, J. Kang, M. Xu, D. Niyato, S. Turner. Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks. IEEE Transactions on Vehicular Technology, Early Access, 2024.

H. Feng, W. Zhang*, Y. Liu, C. Zhang, C. Ying, J. Jin, and Z. Jiao. Multi-domain Collaborative Two-level DDoS Detection via Hybrid Deep Learning. Computer Networks, 110251, 2024.

H. Deng, C. Zhang, W. Zhang*, J. Liang, L. Wang, L. Zhu. IoTAuth: A Decentralized Cross-chain Identity Authentication Scheme for 6G Non-Terrestrial IoT Networks. IEEE Network Magazine, Early Access, 2024.

D. Yang, W. Zhang*, Q. Ye, C. Zhang, N. Zhang, C. Huang, H. Zhang, and X. Shen. DetFed: Dynamic Resource Scheduling for Deterministic Federated Learning over Time-sensitive Networks. IEEE Transactions on Mobile Computing, Early Access, 2023.

Y. Liu, W. Zhang*, L. Li, J. Wu, Y. Xia, S. Gao, H. Zhang. Toward Autonomous Trusted Networks - From Digital Twin Perspective. IEEE Network Magazine, Early Access, 2024.

D. Chao, D. Xu, F. Gao, C. Zhang, W. Zhang, and L. Zhu. A Systematic Survey On Security in Anonymity Networks: Vulnerabilities, Attacks, Defenses, and Formalization. IEEE Communications Surveys & Tutorials, Early Access, 2024. 

D. Yang, Z. Cheng, W. Zhang*, H. Zhang, and X. Shen. Burst-Aware Time-Triggered Flow Scheduling with Enhanced Multi-CQF in Time-Sensitive Networks. IEEE/ACM Transactions on Networking, 31(6): 2809-2824, 2023.

Y. Liu, Y. Xia, W. Zhang*, W. Jia, and J. Wu. FANT: A SRv6-based Flexible and Active Network Telemetry Scheme in Programming Data Plane. IEEE Transactions on Network Science and Engineering, Early Access, 2023.

Z. Wang, W. Zhang*, R. Wang, Y. Liu, C. Xu, and C. Yu. Smart Contract Based DDoS Attack Traceability Audit Mechanism in Intelligent IoT. China Communications, 20(8): 54-64, 2023.

C. Zhang, C. Hu, W. Zhang*, H. Liang, D. Lei, and L. Zhu. Security, Privacy, and Reliability in Ubiquitous Intelligence Empowered Internet of Vehicles. IEEE Internet of Things Magazine, 6(3): 92-96, 2023.

C. Zhang, M. Zhao, L. Zhu, W. Zhang*, T. Wu, J. Ni. FRUIT: A Blockchain-Based Efficient and Privacy-Preserving Quality-Aware Incentive Scheme. IEEE Journal on Selected Areas in Communications, 40(12): 3343-3357, 2022.

H. Wang, W. Zhang*, D. Yang, Y. Xiang. Deep Learning-enabled Predictive Maintenance in Industrial Internet of Things: Methods, Applications, and Challenges. IEEE Systems Journal, 17(2): 2602-2615, 2022.

D. Yang, K. Gong, J. Ren, W. Zhang*, W. Wu, H. Zhang. TC-Flow: Chain Flow Scheduling for Advanced Industrial Applications in Time Sensitive Networks. IEEE Network Magazine, 36(2): 16-24, 2022.

K. Gong, D. Yang, W. Zhang, J. Ren. An Efficient Scheduling Approach for Multi-level Industrial Chain Flows in Time-Sensitive Networking. Computer Networks, 221: 109516, 2022.

T. Wu, W. Wang, C. Zhang, W. Zhang, L. Zhu, K. Gai, H. Wang. Blockchain-based Anonymous Data Sharing with Accountability for Internet of Things. IEEE Internet of Things Journal, 10(6), 5461-5475, 2022.

J. Wang, Y. Liu, W. Zhang, X. Yan, N. Zhou, and Z. Jiang. ReLFA: Resist link flooding attacks via Renyi entropy and deep reinforcement learning in SDN-IoT. China Communications, 19(7): 157-171, 2022.

T. Chen, J. Liu, Q. Ye, Q. Tang, W. Zhang, T. Huang, Y. Liu. Efficient Uplink Transmission in Ultra-Dense LEO Satellite Networks with Multiband Antennas. IEEE Communications Letter, 26(6): 1373-1377, 2022.

E. Cui, D. Yang, H. Wang, W. Zhang.  Learning‐based Deep Neural Network Inference Task Offloading in Multi‐device and Multi‐server Collaborative Edge Computing. Transactions on Emerging Telecommunications Technologies, e4485, 2022.

T. Chen, J. Liu, Q. Ye, W. Zhuang, W. Zhang, T. Huang, Y. Liu. Learning-based Computation Offloading for IoRT through Ka/Q-Band Satellite-Terrestrial Integrated Networks. IEEE Internet of Things Journal, 9(14): 12056-12070, 2021.

N. Zhao, H. Wu, F. R. Yu, L. Wang, W. Zhang, V. C. Leung. Deep Reinforcement Learning Based Latency Minimization in Edge Intelligence Over Vehicular Networks. IEEE Internet of Things Journal, 9(2), 1300-1312, 2021.

W. Wu, P. Yang, W. Zhang, C. Zhou, X. Shen. Accuracy-guaranteed Collaborative DNN Inference in Industrial IoT via Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics, 17(7): 4988-4998, 2020.

会议论文

W. Zhang, D. Yang, H. Peng, W. Wu, W. Quan, H. Zhang, and X. Shen. Deep Reinforcement Learning Based Resource Management for DNN Inference in IIoT. Proc. IEEE Globecom, Taipei, Taiwan, Dec. 7-11, 2020.

W. Zhang, D. Yang, W. Wu, H. Peng, H. Zhang, and X. Shen. Spectrum and Computing Resource Management for Federated Learning in Distributed Industrial IoT. IEEE ICC Workshop, Montreal, Canada, 2021.

W. Zhang, R. Guo, D. Yang, and C. Zhang. DetCNCS: Deterministic Computing and Networking Convergence Scheduling. ACM Sigcomm China Poster Paper, Wuhan, China, Jul. 28-30, 2023.

Y. Liu, J. Yin, W. Zhang*, and S. Xie. Deep Reinforcement Learning for On-demand Intelligent Routing in Deterministic Networks. IEEE Globecom, Kuala Lumpur, Malaysia, Dec. 4-8, 2023.

Y. Li, Y. Liu, W. Zhang*, P. Dong, and W. Quan. In-network Collaborative Link Flooding Attack Defense with Adaptive Anomaly Analysis. IEEE Globecom, Kuala Lumpur, Malaysia, Dec. 4-8, 2023.

Y. Li, M. Zhao, Z. Li, W. Zhang*, J. Dong, T. Wu, and C. Zhang. Achieving a Blockchain-Based Privacy-Preserving Quality-Aware Knowledge Marketplace in Crowdsensing. IEEE EUC, Wuhan, China, Oct. 28-30, 2022.

C. Zhang, M. Zhao, T. Wu, W. Zhang*, Q. Fan, and L. Zhu. Towards Secure Bilateral Friend Query with Conjunctive policy matching in Social Networks. IEEE ISPA, Melbourne, Australia, Dec. 17-19, 2022.

C. Zhang, H. Liang, Y. Li, T. Wu, L. Zhu and W. Zhang*. Stealing Secrecy from Outside: A Novel Gradient Inversion Attack in Federated Learning. ICPADS, Beijing, China, Dec. 14-16, 2022

Z. Cheng, D. Yang, W. Zhang, J. Ren, H. Wang, H. Zhang. DeepCQF: Making CQF Scheduling More Intelligent and Practicable. IEEE ICC, Seoul, Korea, 2022.

E. Cui, W. Zhang, D. Yang, W. Wu, F. Lyu, and H. Zhang. Resource-Efficient DNN Training and Inference for Heterogeneous Edge Intelligence in 6G. IEEE HPCC, Haikou, China, Dec. 20-22, 2021.

专著/译著

[Book Chapter] W. Wu, Y. Tang, P. Yang, W. Zhang, and N. Zhang. “Collaborative Deep Neural Network Inference via Mobile Edge Computing”, Broadband Communications, Computing, and Control for Ubiquitous Intelligence, Springer Book Series on Wireless Networks, 2022.

专利

1. 张维庭，杨冬，王洪超，高东健，程宗荣，张宏科. 一种面向联邦学习业务流的网络资源调度系统及方法，中国发明专利，ZL2022114219678.

2. 张维庭，杨冬，代嘉宁，王洪超，张宏科. 边缘网络资源分配方法、装置、计算机设备及介质，中国发明专利，ZL202310266138.

3. 张维庭，杨冬，刘颖，代嘉宁，龚恺，王洪超，张宏科. 工业网络的多智能体调度方法、装置、设备及存储介质 ，中国发明专利，ZL202310715814.

4. 张维庭，王洪超，杨冬，代嘉宁，孙呈蕙，张宏科. 通算融合的分布式资源协同调度方法、 装置、 设备及介质，中国发明专利，ZL202310851893.

5. 张维庭，王洪超，孙呈蕙，杨冬，郭瑞彬，张宏科. 确定计算任务卸载策略的方法、装置、设备及介质，中国发明专利，ZL202311386125.

6. 刘颖，张维庭，汪润虎，董平，张宇阳，周华春. 面向地址欺骗的混合攻击溯源方法及系统，中国发明专利，ZL2023107323582.

7. 刘颖，张维庭，张宇阳，董平，韩旭，周华春. 基于可编程网络的动态访 问控制方法及系统，中国发明专利，ZL2023108248536.

8. 杨冬，程宗荣，张维庭，王洪超，高德云，张宏科. 一种普适的异构融合算网资源智慧适配网络架构及方法，中国发明专利，ZL2022116890826.

9. 杨冬，任杰，王洪超，张维庭，高德云，张宏科. 一种时间内生确定性融合网络架构及数据通信方法，中国发明专利，ZL2022116707252.

10. 杨冬，王洪超，张维庭，贾璇，黄雪峰，关山，李雪松. 基于均等分割的轴承故障预测方法及装置，中国发明专利，ZL2018111779883.

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软件著作权

获奖与荣誉

2024年北京青年优秀科技论文奖

2024年北京交通大学优秀本科生班主任

2023年北京市科协青年人才托举工程

2022年博士后创新人才支持计划（博新计划）

2022年度中国电子学会优秀博士学位论文

2022年度北京交通大学优秀博士学位论文

2019年博士国家奖学金

2019年北京交通大学 “三好研究生”

2016年第二届中国 “互联网+” 大学生创新创业大赛全国铜奖、省级金奖

2015年首届中国 “互联网+” 大学生创新创业大赛全国铜奖、省级金奖

社会兼职

IEEE 会员, 中国电子学会会员, 中国通信学会高级会员；

担任 Springer 出版社 Wireless Networks（CCF C类）期刊副编辑 (Associate Editor)；

担任《无线电通信技术》期刊青年编委；

担任 Electronics 期刊 “Data Privacy and Cybersecurity in Mobile Crowdsensing” 专刊客座编辑 (Guest Editors)；

担任 IEEE iThings 2023 会议研讨会主席 (Workshop Chairs)；

担任 IEEE Globecom 2023 研讨会 “Intelligent 6G Architecture: Towards Network Simplicity and Autonomy” 技术委员会联合主席 (TPC Co-Chairs)；

担任 IEEE EUC 2022 研讨会 “Ubiquitous Intelligence for 6G Communications, Networking, and Computing” 技术委员会联合主席 (TPC Co-Chairs)；

担任 IEEE ICDCS 2022 研讨会 “Block6G: Intelligent, Scalable, and Efficient Blockchain for 6G Networking and Communications” 宣传主席 (Publicity Co-Chair)；

担任 IEEE iThings 2023、IEEE ICC 2022、ICENAT 2022、IEEE HPCC 2021 会议分会主持 (Session Chair)；

担任 IEEE INFOCOM 2022-2024、IEEE ICC 2022-2024、IEEE Globecom 2022-2023、VTC-Fall 2023、IEEE ICCC 2023、IEEE MetaCom 2023、ICNC 2023-2024、ICMLCN 2024、ICENAT2022、BIGCOM 2022、EAI CollaborateCom 2021会议技术委员会 (TPC) 成员；

担任 IEEE JSAC、IEEE ToN、IEEE TMC、IEEE TCOM、IEEE TIE、IEEE TII、IEEE TVT、IEEE Network Magazine、IEEE Wireless Communications Magazine、IEEE IOTJ、IEEE TSC、IEEE TNSE、IEEE TGCN、IEEE Systems Journal、IEEE IoT Magazine、Peer-to-Peer Networking and Applications、IEEE OJCS、IEEE INFOCOM、IEEE Globecom、IEEE ICC、IEEE ICDCS、IJCAI、IEEE VTC、《计算机科学》等二十余个期刊和会议审稿人。