Lei Zhang (张磊)

Associate Professor, Ph.D

College of Computer Science and Software Engineering
Shenzhen University
Shenzhen, Guangdong, P.R.China   518060
Office: Computer Building 622-2        
Email: leizhang [at] szu.edu.cn

Short Bio

Lei Zhang is a tenured Associate Professor in the College of Computer Science and Software Engineering at Shenzhen University, Shenzhen, Guangdong, China. He received the BEng degree from the Advanced Class of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China, and the MSc and PhD degrees from Simon Fraser University, Burnaby, BC, Canada (Supervisor: Prof. Jiangchuan Liu). His current research interests include multimedia systems and applications, multimedia networking, mobile computing, edge computing, and Internet of Things.

Selected Publications

Note: The materials presented below are for academic use only. Copyright and all rights therein are retained by the authors or by the respective copyright holders.

Conference/Workshop Papers

  1. Y. Huang, C. Mo, T. Liu, B. Kong, L. Zhang, Y. Yuan, and L. Cui, QUIC meets ICN: A Versatile Wireless Transport Strategy in Multi-access Edge Environments, IEEE/ACM IWQoS'2024, Guangzhou, China, June 19-21, 2024.
  2. L. Zhang, H. Zhou, H. Wang, and L. Cui, TBSR: Tile-Based 360° Video Streaming with Super-Resolution on Commodity Mobile Devices, IEEE INFOCOM'2024, Vancouver, Canada, May 20-23, 2024. (Acceptance rate: 256/1307=19.6%, CCF A)
  3. H. Wang, L. Cui, L. Zhang, L. Shen, and L. Chen, Combinatorial Incentive Mechanism for Bundling Spatial Crowdsourcing with Unknown Utilities, IEEE INFOCOM'2024, Vancouver, Canada, May 20-23, 2024. (CCF A)
  4. M. Zhang, J. Li, J. Shi, Y. Zhu, L. Zhang, and H. Wang, ITSVA: Toward 6G-Enabled Vision Analytics over Integrated Terrestrial-Satellite Network, IEEE Satellite'2023, Shenzhen, China, November 25-26, 2023. (Best Paper Award)
  5. L. Wang, Y. Dong, L. Zhang, X. Hu, L. Cui, and V. C.M. Leung, Wireless Model Splitting for Communication-Efficient Personalized Federated Learning with Pipeline Parallelism, IEEE SPAWC'2023, Shanghai, China, September 25-28, 2023.
  6. L. Zhang, Y. Zhong, J. Liu, and L. Cui, Resource and Bandwidth-Aware Video Analytics with Adaptive Offloading, IEEE MASS'2023, Toronto, Canada, September 25-27, 2023.
  7. L. Zhang, H. Guo, Y. Dong, F. Wang, L. Cui, and V. C.M. Leung, Collaborative Streaming and Super Resolution Adaptation for Mobile Immersive Videos, IEEE INFOCOM'2023, New York area, USA, May 17-20, 2023. (Acceptance rate: 252/1312=19.2%, CCF A)
  8. K. Shen, D. Zhang, Z. Zhu, L. Zhang, F. Wang, and D. Wang, SJA: Server-driven Joint Adaptation of Loss and Bitrate for Multi-Party Realtime Video Streaming, IEEE INFOCOM'2023, New York area, USA, May 17-20, 2023. (CCF A）
  9. X. Wu, L. Zhang (Corresponding author), and L. Cui, QoE-aware Download Control and Bitrate Adaptation for Short Video Streaming, ACM MM'2022, Lisbon, Portugal, October 10-14, 2022. (CCF A）
  10. L. Zhang, W. Xu, D. Lu, L. Cui, and J. Liu, MFVP: Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming, IEEE ICME'2022, Taipei, Taiwan, July 18-22, 2022.
  11. L. Zhang, Y. Zhang, X. Wu, F. Wang, L. Cui, Z. Wang, and J. Liu, Batch Adaptative Streaming for Video Analytics, IEEE INFOCOM'2022, Virtual Event, May 2-5, 2022. (Acceptance rate: 225/1129=19.9%, CCF A)
  12. X. Wu, L. Zhang, Y. Wu, H. Zhou, and L. Cui, Delay-sensitive and Priority-aware Transmission Control for Real-time Multimedia Communications, ACM MMAsia'2021, Gold Coast, Australia, December 1-3, 2021.
  13. L. Zhang, Y. Suo, X. Wu, F. Wang, Y. Chen, L. Cui, J. Liu, and Z. Ming, TBRA: Tiling and Bitrate Adaptation for Mobile 360-Degree Video Streaming, ACM MM'2021, Chengdu, China, October 20–24, 2021. (Oral rate: 179/1942=9.2%, CCF A)
  14. D. Su, L. Cui, L. Zhang, Y. Suo, and Y. Qiu, Rate Adaptation and Block Scheduling for Delay-sensitive Multimedia Applications, ACM MM'2021, Chengdu, China, October 20–24, 2021. (CCF A）
  15. L. Cui, X. Su, Y. Zhou, and L. Zhang, ClusterGrad: Adaptive Gradient Compression by Clustering in Federated Learning, IEEE GlobeCom'2020, Taipei, Taiwan, December 7–11, 2020.
  16. L. Zhang, A. Sun, R. Shea, J. Liu, and M. Zhang, Rendering Multi-party Mobile Augmented Reality From Edge, ACM NOSSDAV'2019, Amherst, USA, June 21, 2019.
  17. L. Zhang, F. Wang, and J. Liu, Mobile-Friendly HTTP Middleware with Screen Scrolling, IEEE ICDCS'2018, Vienna, Austria, July 2-5, 2018.
  18. X. Fan, F. Wang, W. Gong, L. Zhang, and J. Liu, Multiple Object Activity Identification Using RFIDs: A Multipath-Aware Deep Learning Solution, IEEE ICDCS'2018, Vienna, Austria, July 2-5, 2018.
  19. M. Ma, L. Zhang, J. Liu, Z. Wang, W. Li, G. Hou, and L. Sun, Characterizing User Behaviors in Mobile Personal Livecast, ACM NOSSDAV'2017, Taipei, Taiwan, June 23, 2017.
  20. L. Zhang, F. Wang, and J. Liu, Dispersing Social Content in Mobile Crowd through Opportunistic Contacts, IEEE ICDCS'2017, Atlanta, USA, June 5-8, 2017.
  21. L. Zhang, C. Zhang, J. Liu, X. Chu, K. Xu, H. Wang, and Y. Jiang, Power-Aware Wireless Transmission for Computation Offloading in Mobile Cloud, IEEE ICCCN'2016, Waikoloa, USA, August 1-4, 2016.
  22. L. Zhang, F. Wang, J. Liu, and X. Ma, On Mobile Instant Video Clip Sharing with Screen Scrolling, IEEE/ACM IWQoS'2016, Beijing, China, June 20-21, 2016. (Best Paper Candidate)
  23. L. Zhang, F. Wang, and J. Liu, Understand Instant Video Clip Sharing on Mobile Platforms: Twitter's Vine as a Case Study, ACM NOSSDAV'2014, Singapore, March 19-20, 2014.
  24. X. Cheng, M. Fatourechi, X. Ma, C. Zhang, L. Zhang, and J. Liu, Insight Data of YouTube from a Partner's View, ACM NOSSDAV'2014, Singapore, March 19-20, 2014.
  25. L. Zhang, J. Liu, and H. Jiang, Energy-Efficient Location Tracking with Smartphones for IoT, IEEE SENSORS'2012, Taipei, Taiwan, October 28-31, 2012.
  26. J. Cheng, Q. Ye, L. Zhang, Y. Xu, H. Jiang, and H. Du, CAR: Contour-based Routing in Wireless Sensor Networks, IEEE ICC'2012, Ottawa, Canada, June 10-15, 2012.
  27. Y. Zhao, L. Zhang, X. Ma, J. Liu, and H. Jiang, CAME: Cloud-Assisted Motion Estimation for Mobile Video Compression and Transmission, ACM NOSSDAV'2012, Toronto, Canada, June 7-8, 2012.

Journal/Magazine Papers

  1. H. Wang, J. Mai, L. Zhang (Corresponding author), L. Shen, L. Cui, and J. Liu, Towards Privacy-preserving Spatial Crowdsourcing: from Offline to Online, IEEE Network, Early Access.
  2. L. Zhang, X. Wu, F. Wang, A. Sun, L. Cui, and J. Liu, Edge-based Video Stream Generation for Multi-party Mobile Augmented Reality, IEEE Transactions on Mobile Computing, Volume 23, Issue 1, pp 409-422, January 2024. (CCF A)
  3. K. Sadatdiynov, L. Cui, L. Zhang, J. Z. Huang, S. Salloum, and M. S. Mahmud, A Review of Optimization Methods for Computation Offloading in Edge Computing Networks, Digital Communications and Networks, Volume 9, Issue 2, pp 450-461, April 2023.
  4. K. Sadatdiynov, L. Cui, L. Zhang, J. Z. Huang, N. N. Xiong, and C. Luo, An Intelligent Hybrid Method: Multi-objective Optimization for MEC-enabled Devices of IoE, Journal of Parallel and Distributed Computing, Volume 171, pp 1-13, January 2023.
  5. L. Cui, E. Ni, Y. Zhou, Z. Wang, L. Zhang, J. Liu, and Y. Xu, Towards Real-Time Video Caching at Edge Servers: A Cost-Aware Deep Q-Learning Solution, IEEE Transactions on Multimedia, Volume 25, pp 302-314, January 2023.
  6. L. Cui, D. Su, Y. Zhou, L. Zhang, Y. Wu, and S. Chen, Edge Learning for Surveillance Video Uploading Sharing in Public Transport Systems, IEEE Transactions on Intelligent Transportation Systems, Volume 22, Issue 4, pp 2274-2285, April 2021.
  7. L. Zhang, F. Wang, and J. Liu, Enhancing Dynamic-Viewport Mobile Applications with Screen Scrolling, IEEE Transactions on Mobile Computing, Volume 20, Issue 4, pp 1393-1407, April 2021. (CCF A)
  8. L. Zhang, F. Wang, and J. Liu, Mobile Instant Video Clip Sharing with Screen Scrolling: Measurement and Enhancement, IEEE Transactions on Multimedia, Volume 20, Issue 8, pp 2022-2034, August 2018.
  9. M. Ma, L. Zhang, J. Liu, Z. Wang, H. Pang, L. Sun, W. Li, G. Hou, and K. Chu, Characterizing User Behaviors in Mobile Livecast: Towards an Edge Computing-assisted Paradigm, ACM Transactions on Multimedia Computing Communications and Applications, Volume 14, Issue 3s, Article No. 66, pp 1–24, August 2018.
  10. L. Zhang, L. Zhao, Z. Wang, and J. Liu, WiFi Networks in Metropolises: From Access Point and User Perspectives, IEEE Communications Magazine, Volume 55, Issue 5, pp 42-48, May 2017.
  11. L. Zhang, D. Fu, J. Liu, ECH. Ngai, and W. Zhu, On Energy-Efficient Offloading in Mobile Cloud for RealTime Video Applications, IEEE Transactions on Circuits and Systems for Video Technology, Volume 27, Issue 1, pp 170-181, January 2017.
  12. Y. Zhao, L. Zhang, X. Ma, J. Liu, and H. Jiang, DualEMC: Energy-efficient Multimedia Communication with Cloud, Springer Telecommunication Systems, Special Issue on Recent Advances in Wireless Networks and Mobile Computing, Volume 60, Issue 1, pp 85–94, September 2015.
  13. X. Liu, H. Wang and L. Zhang, On the Collaboration of Different Peer-to-Peer Traffic Management Schemas, Springer Peer-to-Peer Networking and Applications (PPNA), Special Issue on Peer-to-Peer as an Infrastructure Service, Volume 7, Issue 4, pp 459–468, December 2014.
  14. L. Zhang, J. Liu, H. Jiang, and Y. Guan, SensTrack: Energy-Efficient Location Tracking with Smartphone Sensors, IEEE Sensors Journal, Volume 13, Issue 10, pp 3775-3784, October 2013. (Top 25 most downloaded papers from the 3rd Quarter of 2013 to the 1st Quarter of 2014; the highest rank was the 5th)
  15. X. Ma, Y. Zhao, L. Zhang, H. Wang, and L. Peng, When Mobile Terminals Meet the Cloud: Computation Offloading as the Bridge, IEEE Network, Volume 27, Issue 5, pp 28-33, September-October 2013.

Teaching

  • Computer Networks: 2021/2022/2023/2024 Spring
  • Next Generation Internet Technology: 2020/2021/2023/2024 Spring, 2021/2022/2023/2024 Fall
  • Fundamentals of Computers: 2020/2021/2022/2023/2024 Fall
  • Professional Basic English: 2019 Fall

    • Grants and Awards

    Some Research Grants

  • National Natural Science Foundation of China, Grant No. 62272317, 2023.01-2026.12, 550K
  • Shenzhen Science and Technology Program, Grant No. JCYJ20220531103402006, 2022.11-2025.10, 300K
  • Guangdong Basic and Applied Basic Research Foundation, Grant No. 2021A1515012633, 2021.01-2023.12, 100K
  • Shenzhen High-Caliber Personnel Start-up Grant, 2021.01-2023.12, 2.88M
  • National Natural Science Foundation of China, Grant No. 61902257, 2020.01-2022.12, 270K
  • Tencent "Rhinoceros Birds" - Scientific Research Foundation for Young Teachers of Shenzhen University, 2020.01-2021.12, 50K
  • Shenzhen University Start-up Grant, 2020.01-2022.12, 200K

    • Some Awards

  • ACM MM 2022 Grand Challenge--Short Video Streaming Challenge, Best Student Team Award (as faculty advisor)
  • ACM MM 2022 Grand Challenge--Short Video Streaming Challenge, Second Prize (as faculty advisor)
  • ACM MM 2021 Grand Challenge--Meet Deadline Requirements Challenge, Second Prize (as faculty advisor)
  • Mitacs-Accelerate Award, 2018, 2019
  • IEEE ICDCS Travel Grant Award, 2017, 2018
  • IEEE/ACM IWQoS'2016 Best Paper Candidate, 2016
  • FAS Graduate Fellowship, SFU, 2015
  • ACM SIGMM Travel Grant, 2014
  • Travel Award, School of Computing Science, SFU, 2014, 2018
  • Graduate Fellowship, SFU, 2012, 2014, 2016
  • C.D. Nelson Memorial Graduate Scholarship, SFU, 2013 (the highest SFU scholarship for international students)
  • Outstanding Graduate, HUST, 2011
  • National Endeavor Scholarship, 2009
  • Scholarship for Outstanding Freshman, HUST, 2008