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  • 曾德泽 ( 教授 )

    的个人主页 http://grzy.cug.edu.cn/zengdeze

  •   教授   博士生导师   硕士生导师
  • 曾获荣誉 : 国家级高层次青年人才计划
    湖北省高层次青年人才计划
    共青团湖北省委“向上向善好青年”
个人简介

曾德泽,现任中国地质大学(武汉)计算机学院副院长,教授、博士生导师,智能地学信息处理湖北省重点实验室副主任,人工智能研究院副院长,主要从事边缘计算、泛在智能与物联网等方向的研究工作。2007年毕业于华中科技大学,2009年与2013年于日本会津大学分别获硕士与博士学位。入选国家级高层次人才计划(青年)及湖北省级人才计划(青年),获共青团湖北省委“向上向善好青年”称号。主持国家重点研发计划项目课题、国家自然科学基金面上/青年、湖北省重点研发计划项目等10余项。在ATCSCINFOCOMJSACTPDSTC等会议期刊上发表论文120余篇,出版学术专著3部,获IWQoS 2022、ICPADS 2020ICA3PP 2015ACM IMCOM 2014最佳论文奖,IEEE System Journal 20172019年度最佳论文奖。担任Frontiers in Internet of Things领域主编,IEEE Transactions on Sustainable Computing, Journal of Network and Computer Applications, Frontiers of Computer Science, and Open Journal of Computer Society等期刊编委,以及多个国际著名学术会议的主席、副主席等。担任CCF理事、分布式计算与系统专委副秘书长、执行委员,物联网专委委员和互联网专委执行委员。现为IEEE高级会员、CCF杰出会员。

 

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每年招收博士研究生1-2(其中未来技术学院1名)、硕士研究生4-5名(其中未来技术学院1名),实验室氛围轻松,以自由探索边缘计算、人工智能、物联网领域的前沿课题为主,欢迎相关专业优秀学子联系报考。

 

部分发表论文

1.      Lin Gu, Junhao Huang, Shaoxing Huang, Deze Zeng, Bo Li, Hai Jin: LOPO: An Out-of-order Layer Pulling Orchestration Strategy for Fast Microservice Startup. IEEE INFOCOM 2023.

2.      Yuepeng Li, Deze Zeng, Lin Gu, Mingwei Ou, Quan Chen: On Efficient Zygote Container Planning toward Fast Function Startup in Serverless Edge Cloud. IEEE INFOCOM 2023.

3.      Deze Zeng, Hongming Geng, Lin Gu, Zhexiong Li: Layered Structure Aware Dependent Microservice Placement Toward Cost Efficient Edge Clouds. IEEE INFOCOM 2023.

4.      Yuepeng Li, Deze Zeng, Lin Gu, Andong Zhu, Quan Chen, Shui Yu, “PASTO: Enabling Secure and Efficient Task Offloading in TrustZone-enabled Edge Clouds”, in IEEE Transactions on Vehicular Technology, pp. 1–5, 2023

5.      Lin Gu, Zirui Chen, Honghao Xu, Bo Li, Hai Jin: Layer-aware Collaborative Microservice Deployment toward Maximal Edge Throughput. IEEE INFOCOM 2022.

6.      Kaihua Fu, Jiuchen Shi, Quan Chen, Ningxin Zheng, Wei Zhang, Deze Zeng, Minyi Guo, QoS-Aware Irregular Collaborative Inference for Improving Throughput of DNN Services”, in SC22: International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, November 13-18, 2022

7.      Zijun Li, Linsong Guo, Quan Chen, Jiagan Cheng, Chuhao Xu, Deze Zeng, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo, Help Rather Than Recycle: Alleviating Cold Startup in Serverless Computing Through Inter-Function Container Sharing”, in 2022 USENIX Annual Technical Conference, USENIX ATC 2022, Carlsbad, CA, USA, July 11-13, pp. 69–84, 2022

8.      Weihao Cui, Han Zhao, Quan Chen, Hao Wei, Zirui Li, Deze Zeng, Chao Li, Minyi Guo, DVABatch: Diversity-aware Multi-Entry Multi-Exit Batching for Efficient Processing of DNN Services on GPUs”, in 2022 USENIX Annual Technical Conference, USENIX ATC 2022, Carlsbad, CA, USA, July 11-13, pp. 183– 198, 2022

9.      Kaihua Fu, Wei Zhang, Quan Chen, Deze Zeng, and Minyi Guo, “Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum,” in IEEE Trans. Parallel Distributed Syst., vol. 33, no. 8, pp. 1825-1840, 2022. 

10.   Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, Rajendra Akerkar, “Adaptive Federated Learning on Non-IID Data With Resource Constraint”, in IEEE Trans. Computers, vol. 71, no. 7, pp. 1655–1667, 2022

11.   Kaihua Fu, Wei Zhang, Quan Chen, Deze Zeng, Minyi Guo, “Adaptive Resource Efficient Microservice Deployment in Cloud-Edge Continuum”, in IEEE Trans. Parallel Distributed Syst., vol. 33, no. 8, pp. 1825–1840, 2022 

12.   Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Haozhao Wang, Qifeng Liu, Y. Albert Zomaya, “Adaptive Vertical Federated Learning on Unbalanced Features”, in IEEE Trans. Parallel Distributed Syst., vol. 33, no. 10, pp. 4006–4018, 2022

13.   Yuepeng Li, Deze Zeng, Lin Gu, Quan Chen, Song Guo, Y. Albert Zomaya, Minyi Guo, “Efficient and Secure Deep Learning Inference in Trusted Processor Enabled Edge Clouds”, in IEEE Trans. Parallel Distributed Syst., vol. 33, no. 10, pp. 4311– 4325, 2022

14.   Boqian Fu, Fahao Chen, Peng Li, Deze Zeng, “TCB: Accelerating Transformer Inference Services with Request Concatenation”,in ICPP 2022, pp. 6:1–6:11, 2022

15.   Yuepeng Li, Deze Zeng, Lin Gu, Kun Wang, Song Guo, “On the Joint Optimization of Function Assignment and Communication Scheduling toward Performance Efficient Serverless Edge Computing”,in 30th IEEE/ACM International Symposium on Quality of Service, IWQoS 2022, Oslo, Norway, June 10-12, 2022: (1–9), 2022

16.   Lin Gu, Deze Zeng, Jie Hu, Bo Li, Hai Jin: Layer Aware Microservice Placement and Request Scheduling at the Edge. IEEE INFOCOM 2021.

17.   Lin Gu, Deze Zeng, Jie Hu, Hai Jin, Song Guo, Albert Y. Zomaya: Exploring Layered Container Structure for Cost Efficient Microservice Deployment. IEEE INFOCOM 2021.

18.   Yuepeng Li, Deze Zeng, Lin Gu, Quan Chen, Song Guo, Albert Y. Zomaya, and Minyi Guo: Lasagna: Accelerating Secure Deep Learning Inference in SGX- enabled Edge Cloud. ACM SoCC 2021: 533-545 

19.   Kaihua Fu, Wei Zhang, Quan Chen, Deze Zeng, Xin Peng, Wenli Zheng, and Minyi Guo: QoS-Aware and Resource Efficient Microservice Deployment in Cloud- Edge Continuum. IEEE IPDPS, pp. 932-941, 2021

20.   Pu Pang, Quan Chen, Deze Zeng, and Minyi Guo, “Adaptive Preference- Aware Co-Location for Improving Resource Utilization of Power Constrained Datacenters,” in IEEE Trans. Parallel Distributed Syst., vol. 32, no. 2, pp. 441-456, 2021. 

21.   Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, and Minyi Guo, “Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers,” in 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), New Orleans, LA, USA, May 18-22, 2020, pp. 718–727, 2020. 

22.   Lin Gu, Deze Zeng, Wei Li, Song Guo, Albert Y. Zomaya, and Hai Jin, “Intelligent VNF Orchestration and Flow Scheduling via Model-Assisted Deep Reinforcement Learning,” in IEEE J. Sel. Areas Commun., vol. 38, no. 2, pp. 279–291, 2020. 

23.   Lin Gu, Deze Zeng, Wei Li, Song Guo, Albert Y. Zomaya, and Hai Jin, “Deep Reinforcement Learning Based VNF Management in Geo-distributed Edge Computing,” in 39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019, Dallas, TX, USA, July 7-10, 2019, pp. 934–943, 2019. 

24.   Lin Gu, Deze Zeng, Sheng Tao, Song Guo, Hai Jin, Albert Y. Zomaya, and Weihua Zhuang, “Fairness-Aware Dynamic Rate Control and Flow Scheduling for Network Utility Maximization in Network Service Chain,” in IEEE J. Sel. Areas Commun., vol. 37, no. 5, pp. 1059–1071, 2019. 

25.   Qihua Zhou, Kun Wang, Peng Li, Deze Zeng, Song Guo, Baoliu Ye, and Minyi Guo, “Fast Coflow Scheduling via Traffic Compression and Stage Pipelining in Datacenter Networks,” in IEEE Trans. Computers, vol. 68, no. 12, pp. 1755– 1771, 2019. 

26.   Qihua Zhou, Peng Li, Kun Wang, Deze Zeng, Song Guo, and Minyi Guo, “Swallow: Joint Online Scheduling and Coflow Compression in Datacenter Networks,” in 2018 IEEE International Parallel and Distributed Processing Symposium, IPDPS 2018, Vancouver, BC, Canada, May 21-25, 2018, pp. 505–514, 2018. 

27.   Deze Zeng, Jie Zhang, Lin Gu, and Song Guo, “Stochastic Scheduling Towards Cost Efficient Network Function Virtualization in Edge Cloud,” in 15th Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2018, Hong Kong, China, June 11-13, 2018, pp. 397–405, 2018. 

28.   Sheng Tao, Lin Gu, Deze Zeng, Hai Jin, and Kan Hu, “Fairness-aware dynamic rate control and flow scheduling for network function virtualization,” in 25th IEEE/ACM International Symposium on Quality of Service, IWQoS 2017, Vilanova i la Geltru ́, Spain, June 14-16, 2017, pp. 1–6, 2017. 

29.   Lin Gu, Deze Zeng, Song Guo, Yong Xiang, and Jiankun Hu, “A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-Distributed Data Centers,” in IEEE Trans. Computers, vol. 65, no. 1, pp. 19–29, 2016. 

30.   Deze Zeng, Lin Gu, Song Guo, Zixue Cheng, and Shui Yu, “Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software- Defined Embedded System,” in IEEE Trans. Computers, vol. 65, no. 12, pp. 3702–3712, 2016. 


荣誉

2022         IWQoS 2022 Best Paper Awared Runner Up

2021        《物联网学报》2021年度优秀论文奖

2020        ICPADS 2020 Best Paper Award    

2017        IEEE System Journal Annual Best Paper Award    

2017        IEEE System Journal Annual Best Paper Award    

2015        ICA3PP 2015 Best Paper Award    

2013        IMCOM 2013 Best Paper Award    

 

学术活动

期刊编委

IEEE Transactions on Sustainable Computing

Journal of Network and Computer Applications  

Frontiers of Computer Science    

IEEE Open Journal of the Computer Society

教育经历
  • [1]

    华中科技大学       计算机科学       大学本科毕业       学士学位

  • [2]

    日本会津大学       计算机科学       硕士研究生毕业       硕士学位

  • [3]

    日本会津大学       计算机科学       博士研究生毕业       博士学位

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中国地质大学(武汉)校址:湖北省武汉市鲁磨路388号