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Zhi-Li Zhang joined the faculty of the Department of Computer Science and Engineering at the University of Minnesota as an Assistant Professor in 1997. He is currently the Qwest Chair Professor in Telecommunications. He was named a Distinguished McKnight University Professor in 2013. Zhang received his M.S. degree (1993) and Ph.D. degree (1997) in computer science from the University of Massachusetts. He served as the Associate Director for Research at the Digital Technology Center, University of Minnesota from 2015 to 2021.

Education

Ph.D. in Computer Science, University of Massachusetts Amherst (1997)
M.S. in Computer science, University of Massachusetts Amherst (1992)
B.S. in Computer Science, Nanjing University (1986)

Recent News

Zhi-Li Zhang Leads Shared Automated Vehicles Research
New UMN networking research presented at SOSR 2021
Three papers with Minnesota authors at SIGCOMM 2021
CS&E faculty ranked among top CS researchers in the world
Collaboration with Cisco explores frontier of data technologies
Professor Zhang receives AWS ML Research Award
University of Minnesota awarded federal grant to research autonomous vehicles

Teaching Subjects

• Networking
• Cloud Computing
• Mobile Computing

Honors and Awards

Selected Publications

2023

Li, P., Zhang, Y., Zhang, H., Wang, W., Xu, K., Zhang, Z. (2023). A delayed eviction caching replacement strategy with unified standard for edge servers. Computer Networks. [109794].
DOI: 10.1016/j.comnet.2023.109794

Fezeu, R.A.K., Ramadan, E., Ye, W., Minneci, B., Xie, J., Narayanan, A., Hassan, A., Qian, F., Zhang, Z., Chandrashekar, J., Lee, M. (2023). An In-Depth Measurement Analysis of 5G mmWave PHY Latency and Its Impact on End-to-End Delay. In Lecture Notes in Computer Science. (284-312). (Passive and Active Measurement. 13882. (0302-9743)). Springer.
Electronic version DOI: 10.1007/978-3-031-28486-1_13

2022

Ye, W., Hu, X., Liu, T., Sun, R., Li, Y., Zhang, Z.L. (2022). 5GNN: Extrapolating 5G Measurements through GNNs. In GNNet 2022 - Proceedings of the 1st International Workshop on Graph Neural Networking, Part of CoNEXT 2022. (36-41). (GNNet 2022 - Proceedings of the 1st International Workshop on Graph Neural Networking, Part of CoNEXT 2022.). Association for Computing Machinery, Inc.
DOI: 10.1145/3565473.3569186

Narayanan, A., Rochman, M.I., Hassan, A., Firmansyah, B.S., Sathya, V., Ghosh, M., Qian, F., Zhang, Z.L. (2022). A Comparative Measurement Study of Commercial 5G mmWave Deployments. In INFOCOM 2022 - IEEE Conference on Computer Communications. (800-809). (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/infocom48880.2022.9796693

Li, P., Zhang, Y., Wang, W., Meng, W., Zheng, Y., Xu, K., Zhang, Z. (2022). Chameleon: A Self-adaptive cache strategy under the ever-changing access frequency in edge network. Computer Communications. [301-310].
DOI: 10.1016/j.comcom.2022.07.036

Li, P., Zhang, Y., Wang, W., Zhao, K., Lian, B., Xu, K., Zhang, Z. (2022). Frend for Edge Servers: Reduce Server Number! Keeping Service Quality!. In 2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021. (107-114). (2021 IEEE 23rd International Conference on High Performance Computing and Communications, 7th International Conference on Data Science and Systems, 19th International Conference on Smart City and 7th International Conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/HPCC-DSS-SmartCity-DependSys53884.2021.00041

Wu, Z., Cui, T., Narayanan, A., Zhang, Y., Lu, K., Zhai, A., Zhang, Z.L. (2022). GranularNF: Granular Decomposition of Stateful NFV at 100 Gbps Line Speed and Beyond. Performance Evaluation Review. 50 (2), [46-51].
DOI: 10.1145/3561074.3561092

Dayalan, U.K., Kakengne Fezeu, R.A., Salo, T.J., Zhang, Z.L. (2022). Kaala: Scalable, End-To-End, IoT System Simulator. In NET4us 2022 - Proceedings of the ACM SIGCOMM Workshop on Networked Sensing Systems for Sustainable Society. (33-38). (NET4us 2022 - Proceedings of the ACM SIGCOMM Workshop on Networked Sensing Systems for Sustainable Society.). Association for Computing Machinery, Inc.
DOI: 10.1145/3538393.3544937

Guo, Z., Dou, S., Liu, S., Feng, W., Jiang, W., Xu, Y., Zhang, Z.L. (2022). Maintaining Control Resiliency and Flow Programmability in Software-Defined WANs During Controller Failures. IEEE/ACM Transactions on Networking. 30 (3), [969-984].
DOI: 10.1109/tnet.2021.3128771

Wu, Z., Zhang, Y., Feng, W., Zhang, Z.L. (2022). NFlow and MVT Abstractions for NFV Scaling. In INFOCOM 2022 - IEEE Conference on Computer Communications. (180-189). (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/INFOCOM48880.2022.9796764

Dayalan, U.K., Kakengne Fezeu, R.A., Salo, T.J., Zhang, Z.L. (2022). Prototyping a Fine-Grained QoS Framework for 5G and NextG Networks using POWDER. In Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022. (416-419). (Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/dcoss54816.2022.00075

Hu, X., Ramadan, E., Ye, W., Tian, F., Zhang, Z.L. (2022). Raven:: Belady-Guided, Predictive (Deep) Learning for In-Memory and Content Caching. In CoNEXT 2022 - Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies. (72-90). (CoNEXT 2022 - Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies.). Association for Computing Machinery, Inc.
DOI: 10.1145/3555050.3569134

Pan, M., Li, Y., Zhang, Z.L., Luo, J. (2022). SCCS: Smart Cloud Commuting System with Shared Autonomous Vehicles. IEEE Transactions on Big Data.
DOI: 10.1109/TBDATA.2020.3041263

Feng, W., Cao, R., Zhang, Z.L. (2022). STATOEUVER: State-aware Load Balancing for Network Function Virtualization. In INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops. (INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops.). Institute of Electrical and Electronics Engineers Inc..
DOI: 10.1109/infocomwkshps54753.2022.9798228

Yuan, X., Wu, M., Wang, Z., Zhu, Y., Ma, M., Guo, J., Zhang, Z.L., Zhu, W. (2022). Understanding 5g performance for real-world services: A content providers perspective. In SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference. (101-113). (SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference.). Association for Computing Machinery, Inc.
DOI: 10.1145/3544216.3544219

Zhang, Y., Li, Y., Zhou, X., Luo, J., Zhang, Z.L. (2022). Urban Traffic Dynamics Prediction - A Continuous Spatial-temporal Meta-learning Approach. ACM Transactions on Intelligent Systems and Technology. 13 (2), [23].
DOI: 10.1145/3474837

Hassan, A., Narayanan, A., Zhang, A., Ye, W., Zhu, R., Jin, S., Carpenter, J., Mao, Z.M., Qian, F., Zhang, Z.L. (2022). Vivisecting mobility management in 5G cellular networks. In SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference. (86-100). (SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference.). Association for Computing Machinery, Inc.
DOI: 10.1145/3544216.3544217

Liu, Y., Han, B., Qian, F., Narayanan, A., Zhang, Z.L. (2022). Vues: Practical mobile volumetric video streaming through multiview transcoding. In ACM MobiCom 2022 - Proceedings of the 2022 28th Annual International Conference on Mobile Computing and Networking. (514-527). (Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM.). Association for Computing Machinery.
DOI: 10.1145/3495243.3517027

2021

Tian, F., Zhang, Y., Ye, W., Jin, C., Wu, Z., Zhang, Z.L. (2021). Accelerating Distributed Deep Learning using Multi-Path RDMA in Data Center Networks. In SOSR 2021 - Proceedings of the 2021 ACM SIGCOMM Symposium on SDN Research. (88-100). (Proceedings of the ACM SIGCOMM Symposium on SDN Research (SOSR).). Association for Computing Machinery, Inc.
DOI: 10.1145/3482898.3483363

Guo, Z., Xu, Y., Liu, Y.F., Liu, S., Chao, H.J., Zhang, Z.L., Xia, Y. (2021). AggreFlow: Achieving Power Efficiency, Load Balancing, and Quality of Service in Data Center Networks. IEEE/ACM Transactions on Networking. 29 (1), [9253693]. [17-33].
DOI: 10.1109/tnet.2020.3026015