Ruitao Xie

Ruitao Xie

Associate Professor

CSSE Shenzhen University




Ruitao Xie is an associate professor at the CSSE Shenzhen University. She leads the Intelligent Cloud-Edge Computing group in IOT Research Center. Her research interests include scheduling system resources to improve the performance of AI applications, edge computing, cloud computing, and mobile computing. She is the principal investigator of several projects, including two projects funded by the National Natural Science Foundation of China (NSFC) and a project funded by the Natural Science Foundation of Guangdong Province of China. She has published 20 research papers in international leading journals and conferences, like JSAC, TPDS, TMC, TCC, TVT, TIFS, MWC, INFOCOM, etc.

I am looking for strongly motivated graduate students to join our research group.

Education

 
 
 
 
 
Supervisor [Professor Xiaohua Jia](https://www.cs.cityu.edu.hk/~jia/) Department of Computer Science City University of Hong Kong
PhD in Computer Science
Supervisor Professor Xiaohua Jia
Department of Computer Science
City University of Hong Kong
Aug 2010 – Oct 2014 Hong Kong
 
 
 
 
 
School of Telecommunication Engineering Beijing University of Posts and Telecommunications
BE in Communication Engineering
School of Telecommunication Engineering
Beijing University of Posts and Telecommunications
Sep 2004 – Jul 2008 Beijing

Experience

 
 
 
 
 
College of Computer Science and Software Engineering Shenzhen University
Associate Professor
College of Computer Science and Software Engineering
Shenzhen University
Aug 2023 – Present Shenzhen
 
 
 
 
 
College of Computer Science and Software Engineering Shenzhen University
Assistant Professor
College of Computer Science and Software Engineering
Shenzhen University
Sep 2017 – Jul 2023 Shenzhen
 
 
 
 
 
Research & Development Department SenseTime Group Limited
Researcher
Research & Development Department
SenseTime Group Limited
May 2016 – Aug 2017 Hong Kong
 
 
 
 
 
Supervisor [Professor Xiaohua Jia](https://www.cs.cityu.edu.hk/~jia/) Department of Computer Science City University of Hong Kong
Senior Research Associate
Supervisor Professor Xiaohua Jia
Department of Computer Science
City University of Hong Kong
Sep 2014 – Oct 2015 Hong Kong
 
 
 
 
 
Supervisor [Professor Yonggang Wen](https://personal.ntu.edu.sg/ygwen/) School of Electrical and Electronic Engineering Nanyang Technological University
Visiting Student
Supervisor Professor Yonggang Wen
School of Electrical and Electronic Engineering
Nanyang Technological University
Apr 2013 – Oct 2013 Singapore

Grants

 
 
 
 
 
¥250,000 Young Scientists Fund National Natural Science Foundation of China
Research on Adaptive Congestion Control for Data Center Networks by
Using Reinforcement Learning (61802263)
¥250,000
Young Scientists Fund
National Natural Science Foundation of China
Jan 2019 – Dec 2021
 
 
 
 
 
¥50,000 Tencent "Rhinoceros Birds"-Scientific Research Fund for Young Faculties Tencent Foundation & Shenzhen University
Research on Adaptive Optimization Approaches for Data Center Networks by
Using Reinforcement Learning
¥50,000
Tencent “Rhinoceros Birds”-Scientific Research Fund for Young Faculties
Tencent Foundation & Shenzhen University
Jan 2019 – Dec 2020
 
 
 
 
 
¥60,000 Research Initiation Grant for Young Faculty Shenzhen University
Research on Adaptive Network Optimization based on Reinforcement Learning
(2019050)
¥60,000
Research Initiation Grant for Young Faculty
Shenzhen University
Jun 2019 – May 2021
 
 
 
 
 
¥170,000 Research Initiation Grant for Young Faculty Shenzhen University
Research on Intelligent Network Transmissions, (860/000002110325)
¥170,000
Research Initiation Grant for Young Faculty
Shenzhen University
Nov 2019 – Oct 2022
 
 
 
 
 
¥2,700,000 Research Grant for Top Talents in Shenzhen (Peacock Program) Human Resources and Social Security Bureau of Shenzhen Municipality
Research on Adaptive Congestion Control for Next Generation Data Center
Networks (827000444)
¥2,700,000
Research Grant for Top Talents in Shenzhen (Peacock Program)
Human Resources and Social Security Bureau of Shenzhen Municipality
Jan 2020 – Dec 2022

Publications

(2022). QoS-Aware Scheduling of Remote Rendering for Interactive Multimedia Applications in Edge Computing. IEEE Transactions on Parallel and Distributed Systems, vol. 33, no. 12, pp. 3816-3832, (中科院大类二区, CCF A类期刊).

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(2022). Efficient and Provably Secure Data Selective Sharing and Acquisition in Cloud-Based Systems. IEEE Transactions on Information Forensics and Security, vol. 18, pp. 71-84, 2023. (中科院大类一区, CCF A 类期刊).

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(2022). ET2FA: A Hybrid Heuristic Algorithm for Deadline-constrained Workflow Scheduling in Cloud. IEEE Transactions on Services Computing (中科院大类二区, CCF B 类期刊).

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(2022). Towards Robust WiFi Fingerprint-Based Vehicle Tracking in Dynamic Indoor Parking Environments: An Online Learning Framework. IEEE Transactions on Mobile Computing (中科院大类二区, CCF A 类期刊).

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(2022). Sharing-Aware Task Offloading of Remote Rendering for Interactive Applications in Mobile Edge Computing. IEEE Transactions on Cloud Computing (中科院大类二区期刊).

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(2022). Blockchain-Based Decentralized Public Auditing for Cloud Storage. IEEE Transactions on Cloud Computing (中科院大类二区期刊).

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(2022). Cross-Technology Communication for Heterogeneous Wireless Devices through Symbol-Level Energy Modulation. IEEE Transactions on Mobile Computing (中科院大类二区, CCF A 类期刊).

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(2022). SledZig: Boosting Cross-Technology Coexistence for Low-Power Wireless Devices. IEEE ICDCS 2022 - 42nd IEEE International Conference on Distributed Computing Systems (CCF B类会议, Acceptance rate:19.9%).

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(2022). Efficient Lane-Level Map Building via Vehicle-Based Crowdsourcing. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 5, pp. 4049-4062, (中科院大类一区, CCF B类期刊).

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(2020). Adaptive Offloading for Time-Critical Tasks in Heterogeneous Internet of Vehicles. IEEE Internet of Things Journal, vol. 7, no. 9, pp. 7999-8011, (中科院大类一区期刊).

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(2020). Adaptive Online Decision Method for Initial Congestion Window in 5G Mobile Edge Computing Using Deep Reinforcement Learning. IEEE Journal on Selected Areas in Communications, vol. 38, no. 2, pp. 389-403, (中科院大类一区, CCF A类期刊).

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(2019). Energy Efficiency Enhancement for CNN-based Deep Mobile Sensing. IEEE Wireless Communications, vol. 26, no. 3, pp. 161-167, (中科院大类一区期刊).

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(2018). Data Transfer Scheduling for Maximizing Throughput of Big-Data Computing in Cloud Systems. IEEE Transactions on Cloud Computing, vol. 6, no. 1, pp. 87-98, (中科院大类一区期刊).

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(2016). A Wireless Solution for SDN (Software Defined Networking) in Data Center Networks. 2016 IEEE Global Communications Conference (GLOBECOM).

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(2016). Design of Analytical Model and Algorithm for Optimal Roadside AP Placement in VANETs. IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 7708-7718 (中科院大类二区期刊).

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(2015). Supporting Seamless Virtual Machine Migration via Named Data Networking in Cloud Data Center. IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 12, pp. 3485-3497 (中科院小类二区期刊).

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(2014). Enabling Efficient Access Control with Dynamic Policy Updating for Big Data in the Cloud. IEEE INFOCOM 2014 - IEEE Conference on Computer Communications.

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(2014). Transmission-Efficient Clustering Method for Wireless Sensor Networks Using Compressive Sensing. IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 3, pp. 806-815, (中科院小类二区期刊).

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(2013). DAC-MACS: Effective Data Access Control for Multiauthority Cloud Storage Systems. IEEE Transactions on Information Forensics and Security, vol. 8, no. 11, pp. 1790-1801, (中科院小类二区期刊).

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(2013). Energy Saving Virtual Machine Allocation in Cloud Computing. 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops.

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(2013). Multi-path Routing and Stream Scheduling with Spatial Multiplexing and Interference Cancellation in MIMO Networks. 2013 IEEE 33rd International Conference on Distributed Computing Systems Workshops.

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(2011). Minimum Transmission Data Gathering Trees for Compressive Sensing in Wireless Sensor Networks. 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

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Courses

Academic Year and Semester Course Score Evaluation Relative Ranking (TOP)
2022-2023 Spring Computer Networks 98.39 4.84%
2021-2022 Spring Computer Networks 97.44 14.62%
2020-2021 Spring Computer Networks 96.15 11.76%
2021-2022 Fall Discrete Mathematics 97.48 10.97%
2019-2020 Fall Discrete Mathematics 93.05 16.15%
2018-2019 Fall Discrete Mathematics 92.66 14.81%

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