Sheng Zhang

     PhD, Associate Professor
     State Key Laboratory for Novel Software Technology
     Department of Computer Science and Technology, Nanjing University

     Room 619, CS Building, Xianlin Campus, Nanjing University
     Email: sheng at nju dot edu dot cn

I am an Associate Professor of Department of Computer Science and Technology at Nanjing University, and also a member of the State Key Laboratory for Novel Software Technology. I received my BS and PhD degrees in computer science from Nanjing University in 2008 and 2014, respectively (advisor: Prof. Sanglu Lu). From Oct. of 2011 to Sep. of 2012, I was a visiting research scholar in Department of Computer and Information Sciences at Temple University, supervised by Prof. Jie Wu.

To date, I have published more than 70 papers in related research fields, including those appeared in IEEE TMC, IEEE TC, IEEE TPDS, IEEE/ACM TON, ACM TOSN, CCF TON, ACM MobiHoc, IEEE INFOCOM, IEEE SECON, and IEEE ICDCS. I am the recipient of the Best Paper Runner-Up Award from IEEE MASS 2012.

欢迎对我的工作有兴趣的同学联系我。 [研究方向简介及招生海报1] [研究方向简介及招生海报2]

Selected Publications:

  • Edge-assisted Online On-device Object Detection for Real-time Video Analytics
    Mengxi Hanyao, Yibo Jin, Zhuzhong Qian, Sheng Zhang, Sanglu Lu
    IEEE Annual International Conference on Computer Communications (INFOCOM), 2021

  • Learning for Learning: Predictive Online Control of Federated Learning with Edge Provisioning
    Yibo Jin, Lei Jiao, Zhuzhong Qian, Sheng Zhang, Sanglu Lu
    IEEE Annual International Conference on Computer Communications (INFOCOM), 2021

  • Truthful Auction-Based Combinatorial Multi-Armed Bandit Mechanisms with Strategic Arms
    Guoju Gao, He Huang, Mingjun Xiao, Jie Wu, Yu-e Sun, Sheng Zhang
    IEEE Annual International Conference on Computer Communications (INFOCOM), 2021

  • Cuttlefish: Neural Configuration Adaptation for Video Analysis in Live Augmented Reality
    Ning Chen, Siyi Quan, Sheng Zhang, Zhuzhong Qian, Yibo Jin, Jie Wu, Wenzhong Li, and Sanglu Lu
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021

  • CPchain: A Copyright-Preserving Crowdsourcing Data Trading Framework Based on Blockchain
    Dingjie Sheng, Mingjun Xiao, An Liu, Xiang Zou, Baoyi An, Sheng Zhang
    IEEE International Conference on Computer Communications and Networks (ICCCN), 2020
    Best Paper Award, 2 out of 73 regular papers

  • Joint Server Assignment and Resource Management for Edge-based MAR System
    Can Wang, Sheng Zhang, Zhuzhong Qian, Mingjun Xiao, Jie Wu, Baoliu Ye, Sanglu Lu
    IEEE/ACM Transactions on Networking (TON), 2020

  • Provably Efficient Resource Allocation for Edge Service Entities under Specified Budget Threshold using Hermes
    Sheng Zhang, Yu Liang, Jidong Ge, Mingjun Xiao, and Jie Wu
    IEEE/ACM Transactions on Networking (TON), 2020

  • Privacy-Preserving User Recruitment Protocol for Mobile Crowdsensing
    Mingjun Xiao, Guoju Gao, Jie Wu, Sheng Zhang, and Liusheng Huang
    IEEE/ACM Transactions on Networking (TON), 2020

  • Differentially Private Unknown Worker Recruitment for Mobile Crowdsensing Using Multi-Armed Bandits
    Hui Zhao, Mingjun Xiao, Jie Wu, Yun Xu, He Huang, and Sheng Zhang
    IEEE Transactions on Mobile Computing (TMC), in press

  • Interaction-Oriented Service Entity Placement in Edge Computing
    Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Lingwei Pan, Tengfei Zhang, and Bin Luo
    IEEE Transactions on Mobile Computing (TMC), in press

  • DPDT: A Differentially Private Crowd-Sensed Data Trading Mechanism
    Guoju Gao, Mingjun Xiao, Jie Wu, Sheng Zhang, Liusheng Huang, and Guiliang Xiao
    IEEE Internet of Things Journal (IoTJ), 2020

  • Joint Configuration Adaptation and Bandwidth Allocation for Edge-based Real-time Video Analytics
    Can Wang, Sheng Zhang, Yu Chen, Zhuzhong Qian, Jie Wu, Mingjun Xiao
    IEEE Annual International Conference on Computer Communications (INFOCOM), 2020

  • Provisioning Edge Inference as a Service via Online Learning
    Yibo Jin, Lei Jiao, Zhuzhong Qian, Sheng Zhang, Ning Chen, Xiaoliang Wang, Sanglu Lu
    IEEE International Conference on Sensing, Communication and Networking (SECON), 2020

  • Resource-Efficient and Convergence-Preserving Online Participant Selection in Federated Learning
    Yibo Jin, Lei Jiao, Zhuzhong Qian, Sheng Zhang, Sanglu Lu, Xiaoliang Wang
    IEEE International Conference on Distributed Computing Systems (ICDCS), 2020

  • Semi-clairvoyant Scheduling in Data Analytics Systems
    Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang, Xiangbo Li, Xiaoliang Wang, and Sanglu Lu
    IEEE Transactions on Computers (TC), 2019

  • A Utility-based Optimization Framework for Edge Service Entity Caching
    Yu Liang, Jidong Ge, Sheng Zhang, Jie Wu, Ze Tang, and Bin Luo
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2019

  • Fast Charging Scheduling under the Nonlinear Superposition Model with Adjustable Phases
    Zhi Ma, Sheng Zhang, Jie Wu, Zhuzhong Qian, Yanchao Zhao, and Sanglu Lu
    ACM Transactions on Sensor Networks (TOSN), 2019

  • An Architecture for Using Autonomous Underwater Vehicles in Wireless Sensor Networks for Underwater Pipeline Monitoring
    Imad Jawhar, Nader Mohamed, Jameela Al-Jaroodi, and Sheng Zhang
    IEEE Transactions on Industrial Informatics (TII), 2019

  • Wireless Charger Placement and Power Allocation for Maximizing Charging Quality
    Sheng Zhang, Zhuzhong Qian, Jie Wu, Fanyu Kong, and Sanglu Lu
    IEEE Transactions on Mobile Computing (TMC), 2018

  • COBRA: Provably Efficient Semi-clairvoyant Scheduling in Data Analytics Systems
    Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang, Xiangbo Li, Xiaoliang Wang, and Sanglu Lu
    IEEE 37th Annual International Conference on Computer Communications (INFOCOM), 2018

  • Efficient Data Center Flow Scheduling without Starvation using Expansion Ratio
    Sheng Zhang, Zhuzhong Qian, Hao Wu, and Sanglu Lu
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017

  • Optimizing Itinerary Selection and Charging Association for Mobile Chargers
    Sheng Zhang, Zhuzhong Qian, Jie Wu, Fanyu Kong, and Sanglu Lu
    IEEE Transactions on Mobile Computing (TMC), 2017

  • Secret-Sharing-Based Secure User Recruitment Protocol for Mobile Crowdsensing
    Mingjun Xiao, Jie Wu, Sheng Zhang, and Jiapeng Yu
    IEEE 36th Annual International Conference on Computer Communications (INFOCOM), 2017

  • Collaborative Mobile Charging
    Sheng Zhang and Jie Wu
    Book Chapter of Wireless Power Transfer Algorithms and Applications in Ad hoc Communication Networks, 2016

  • Distributed Workload Dissemination for Makespan Minimization in Disruption Tolerant Networks
    Sheng Zhang, Jie Wu, Sanglu Lu
    IEEE Transactions on Mobile Computing (TMC), 2016

  • Burstiness-Aware Resource Reservation for Server Consolidation in Computing Clouds
    Sheng Zhang, Zhuzhong Qian, Zhaoyi Luo, Jie Wu, Sanglu Lu
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2016

  • Collaborative Mobile Charging
    Sheng Zhang, Jie Wu, Sanglu Lu
    IEEE Transactions on Computers (TC), 2015

  • P3: Joint Optimization of Charger Placement and Power Allocation for Wireless Power Transfer
    Sheng Zhang, Zhuzhong Qian, Fanyu Kong, Jie Wu, Sanglu Lu
    IEEE 34th Annual International Conference on Computer Communications (INFOCOM), 2015

  • Virtual Network Embedding with Opportunistic Resource Sharing
    Sheng Zhang, Zhuzhong Qian, Jie Wu, Sanglu Lu, Leah Epstein
    IEEE Transactions on Parallel and Distributed Systems (TPDS), 2014
    EST Highly Cited Paper

  • Minimum Makespan Workload Dissemination in DTNs: Making Full Utilization of Computational Surplus Around
    Sheng Zhang, Jie Wu, Sanglu Lu
    ACM 14th International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Short Paper, 2013

  • Collaborative Mobile Charging for Sensor Networks
    Sheng Zhang, Jie Wu, Sanglu Lu
    The IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS), 2012
    Best Paper Runner Up Award, 2 out of 166 submissions

  • An Opportunistic Resource Sharing and Topology-Aware Mapping Framework for Virtual Networks
    Sheng Zhang, Zhuzhong Qian, Jie Wu, Sanglu Lu
    IEEE 31th Annual International Conference on Computer Communications (INFOCOM), 2012

Selected Awards:

  • 2020 ACM Nanjing Rising Star Award (2020年ACM南京分会新星奖)
  • 2020 IEEE ICCCN 2020 Best Paper Award
  • 2019 First Prize of Jiangsu Science and Technology Award (江苏省科学技术奖一等奖)(排名第9)
  • 2017 Six talent peaks project in Jiangsu Province (江苏省六大人才高峰-创新人才团队)
  • 2016 First Prize of Jiangsu Science and Technology Award (江苏省科学技术奖一等奖)(排名第9)
  • 2016 Jiangsu Outstanding Ph.D. Thesis Award (2016江苏省优秀博士论文)
  • 2016 Outstanding Ph.D. Thesis Award in Nanjing University (2016南京大学优秀博士论文)
  • 2015 CCF (China Computer Federation) Ph.D Dissertation Nomination Award (2015CCF优秀博士论文提名奖)
  • 2015 ACM China Doctoral Dissertation Nomination Award (2015年ACM中国优秀博士论文提名奖)
  • 2015 ACM Nanjing Doctoral Dissertation Award (2015年ACM南京分会优秀博士论文奖)
  • 2013 Program A for outstanding PhD candidate of Nanjing University (南京大学优秀博士生提升计划A)
  • 2012 Best Paper Runner-up Award from IEEE MASS 2012