World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4297
World Ranking
13186
National Ranking
5290

Overview

Shaolei Ren is affiliated with the University of California, Riverside in the United States and conducts research primarily in computer science. Their scholarly work spans multiple subfields including artificial intelligence, computer networks and communications, electrical and electronic engineering, management science and operations research, and computer vision and pattern recognition.

Their research topics cover a range of advanced computing challenges such as advanced bandit algorithms, advanced memory and neural computing, adversarial robustness in machine learning, optimization and search problems, data stream mining techniques, ferroelectric and negative capacitance devices, and advanced neural network applications.

Ren has published extensively, with selected recent papers including:

  • Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models (2023, arXiv (Cornell University))
  • LeHDC (2022, Proceedings of the 59th ACM/IEEE Design Automation Conference)
  • Auction Mechanism for Dynamic Bandwidth Allocation in Multi-Tenant Edge Computing (2020, IEEE Transactions on Vehicular Technology)
  • Making AI Less 'Thirsty' (2025, Communications of the ACM)
  • One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search (2021, Proceedings of the ACM on Measurement and Analysis of Computing Systems)

The venues where Ren frequently publishes include arXiv (Cornell University), ACM SIGMETRICS Performance Evaluation Review, Proceedings of the ACM on Measurement and Analysis of Computing Systems, Proceedings of the AAAI Conference on Artificial Intelligence, and the Proceedings of the 59th ACM/IEEE Design Automation Conference.

Ren collaborates often with a group of coauthors, including Jianyi Yang, Adam Wierman, Pengfei Li, and Shijin Duan, with multiple joint publications across their careers.

Best Publications

  • Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing

    Jie Xu;Lixing Chen;Shaolei Ren

  • Game Theory for Cyber Security and Privacy

    Cuong T. Do;Nguyen H. Tran;Choongseon Hong;Charles A. Kamhoua

  • Traffic-Aware and Energy-Efficient vNF Placement for Service Chaining: Joint Sampling and Matching Approach

    Chuan Pham;Nguyen H. Tran;Shaolei Ren;Walid Saad

  • Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid

    Byung-Gook Kim;Shaolei Ren;M. van der Schaar;Jang-Won Lee

  • Operation Analysis of Fast Charging Stations With Energy Demand Control of Electric Vehicles

    Pingyi Fan;Bilguun Sainbayar;Shaolei Ren

  • Provably-Efficient Job Scheduling for Energy and Fairness in Geographically Distributed Data Centers

    Shaolei Ren;Yuxiong He;Fei Xu

  • How Geo-Distributed Data Centers Do Demand Response: A Game-Theoretic Approach

    Nguyen H. Tran;Dai H. Tran;Shaolei Ren;Zhu Han

  • Thermal-Aware Scheduling of Batch Jobs in Geographically Distributed Data Centers

    Marco Polverini;Antonio Cianfrani;Shaolei Ren;Athanasios V. Vasilakos

  • Greening Multi-Tenant Data Center Demand Response

    Niangjun Chen;Xiaoqi Ren;Shaolei Ren;Adam Wierman

  • A truthful incentive mechanism for emergency demand response in colocation data centers

    Linquan Zhang;Shaolei Ren;Chuan Wu;Zongpeng Li

  • Online Learning for Offloading and Autoscaling in Renewable-Powered Mobile Edge Computing

    Jie Xu;Shaolei Ren

  • Spatio–Temporal Edge Service Placement: A Bandit Learning Approach

    Lixing Chen;Jie Xu;Shaolei Ren;Pan Zhou

  • Colocation Demand Response: Why Do I Turn Off My Servers?

    Shaolei Ren;Mohammad A. Islam

  • Pricing and Distributed Power Control in Wireless Relay Networks

    Shaolei Ren;M van der Schaar

  • Energy-Efficient Flow Scheduling and Routing with Hard Deadlines in Data Center Networks

    Lin Wang;Fa Zhang;Kai Zheng;Athanasios V. Vasilakos

  • Paying to save: Reducing cost of colocation data center via rewards

    Mohammad A. Islam;Hasan Mahmud;Shaolei Ren;Xiaorui Wang

  • Distributed power allocation in multi-user multi-channel cellular relay networks

    Shaolei Ren;Mihaela Van Der Schaar

  • Profit Aware Load Balancing for Distributed Cloud Data Centers

    Shuo Liu;Shaolei Ren;Gang Quan;Ming Zhao

  • Exploiting Processor Heterogeneity in Interactive Services

    Shaolei Ren;Yuxiong He;Sameh Elnikety;Kathryn S. McKinley

  • Dynamic Scheduling and Pricing in Wireless Cloud Computing

    Shaolei Ren;Mihaela van der Schaar

Frequent Co-Authors

Mihaela van der Schaar
Mihaela van der Schaar University of Cambridge
Nguyen H. Tran
Nguyen H. Tran University of Sydney
Gang Quan
Gang Quan Florida International University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Yuxiong He
Yuxiong He Microsoft (United States)
Zhu Han
Zhu Han University of Houston
Chuan Wu
Chuan Wu University of Hong Kong
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Adam Wierman
Adam Wierman California Institute of Technology
Zongpeng Li
Zongpeng Li Tsinghua University

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