Selected Papers
P. Li, J. Yang, and S. Ren,
“Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees,”
International Conference on Machine Learning (ICML), 2023.
P. Li, J. Yang, and S. Ren,
“Expert-Calibrated Learning for Online Optimization with Switching Costs,” ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2022.
B. Lu, J. Yang, W. Jiang, Y. Shi, and S. Ren, “One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search,”
ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2022. [Webpage] [GitHub]
J. Yang and S. Ren,
“Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity,”
International Conference on Machine Learning (ICML), 2022.
Z. Shao, M. A. Islam, and S. Ren, “Heat Behind the Meter: A Hidden Threat of Thermal Attacks in Edge Colocation Data Centers,”
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021.
Z. Shao, M. A. Islam, and S. Ren, “Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers,”
ACM International
Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2020. [Slides][Video]
M. A. Islam and S. Ren, “Ohm's Law in Data Centers: A Voltage Side Channel for Timing Power Attacks,”
ACM Conference on Computer and Communications Security (CCS), 2018. [Slides][Video]
M. A. Islam, L. Yang, K. Ranganath, and S. Ren, “Why Some Like It Loud: Timing Power Attacks in Multi-tenant Data Centers Using an Acoustic Side Channel,”
ACM International
Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2018. [Slides]
M. A. Islam, X. Ren, S. Ren, and A. Wierman, “A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers,”
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2018. [Slides]
M. A. Islam, S. Ren, and A. Wierman, “Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers,”
ACM Conference on Computer and Communications Security (CCS), 2017. [Slides] [Video]
M. A. Islam, X. Ren, S. Ren, A. Wierman, and X. Wang, “A Market Approach for Handling Power Emergencies in Multi-Tenant Data
Center,”
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2016. [Slides]
M. A. Islam, H. Mahmud, S. Ren, and X. Wang, “Paying to Save: Reducing Cost of Colocation Data Center via Rewards,”
IEEE International Symposium on High Performance Computer Architecture (HPCA) 2015. [Slides]
2023
P. Li, J. Yang, and S. Ren,
“Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees,”
International Conference on Machine Learning (ICML), 2023.
T. Zhou, Y. Luo, S. Ren, and X. Xu, “NNSplitter: An Active Defense Solution to DNN Model via Automated Weight Obfuscation,”
International Conference on Machine Learning (ICML), 2023.
P. Li, J. Yang, and S. Ren,
“Robustified Learning for Online Optimization with Memory Costs,”
IEEE International Conference on Computer Communications (INFOCOM), 2023.
J. Yang and S. Ren,
“Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints,”
AAAI Conference on Artificial Intelligence (AAAI), 2023.
Y. Liu, S. Duan, X. Xu, and S. Ren, “MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption,”
tinyML Research Symposium (tinyML), 2023.
2022
P. Li, J. Yang, and S. Ren,
“Expert-Calibrated Learning for Online Optimization with Switching Costs,” ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2022.
B. Lu, J. Yang, W. Jiang, Y. Shi, and S. Ren, “One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search,”
ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2022. [Webpage] [GitHub]
J. Yang and S. Ren,
“Informed Learning by Wide Neural Networks: Convergence,
Generalization and Sampling Complexity,” International Conference on Machine Learning (ICML), 2022.
Z. Shao, J. Yang, C. Shen, and S. Ren, “Learning for Robust Combinatorial Optimization: Algorithm and Application,”
IEEE International Conference on Computer Communications (INFOCOM), 2022.
Y. Ye, W. Zhu, and S. Ren,
“Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning,” Neural Information Processing Systems
(NeurIPS), 2022.
B. Lu, Z. Yan, Y. Shi, and S. Ren, “A Semi-Decoupled Approach to Fast and Optimal Hardware-Software Co-Design of Neural Accelerators,”
tinyML Research Symposium (tinyML), 2022. [Video]
S. Duan, X. Xu, and S. Ren, “A Brain-Inspired Low-Dimensional Computing Classifier for Inference on Tiny Devices,”
tinyML Research Symposium (tinyML), 2022.
S. Duan, S. Ren, and X. Xu, “HDLock: Exploiting Privileged Encoding to Protect Hyperdimensional Computing Models against IP Stealing,”
ACM/IEEE Design Automation Conference (DAC), 2022.
S. Duan, Y. Liu, S. Ren, and X. Xu, “LeHDC: Learning-Based Hyperdimensional Computing Classifier,”
ACM/IEEE Design Automation Conference (DAC), 2022.
T. Zhou, S. Ren, and X. Xu, “ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach,”
ACM/IEEE International Conference on Computer-Aided Design (ICCAD), 2022.
B. Lu, J. Yang, J. Xu, and S. Ren, “Improving QoE of Deep Neural Network Inference on Edge Devices: A Bandit Approach,”
IEEE Internet of Things Journal, Jun. 2022.
Y. Bai, L. Chen, S. Ren, and J. Xu, “Automated Customization of On-Device Inference for Quality-of-Experience Enhancement,”
IEEE Transactions on Computers, Sep. 2022.
2021
Z. Shao, M. A. Islam, and S. Ren, “Heat Behind the Meter: A Hidden Threat of Thermal Attacks in Edge Colocation Data Centers,”
IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2021.
J. Yang and S. Ren, “Robust Bandit Learning with Imperfect Context,”
AAAI Conference on Artificial Intelligence (AAAI), 2021.
J. Yang and S. Ren, “Bandit Learning with Predicted Context: Regret Analysis and Selective Context Query,”
IEEE International Conference on Computer Communications (INFOCOM), 2021.
F. Yang, M. A. Islam, F. Wu, and S. Ren, “CompKey: Exploiting Computer's Electromagnetic Radiation for Secret Key Generation,”
IEEE Conference on Communications and Network Security (CNS), 2021.
X Hou, C Li, J Liu, L Zhang, S Ren, J Leng, Q Chen, and M Guo,
“AlphaR: Learning-powered Resource Management for Irregular, Dynamic Microservice Graph,”
IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2021.
2020
Z. Shao, M. A. Islam, and S. Ren, “Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers,”
ACM International
Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2020. [Slides][Video]
Z. Shao, M. A. Islam, and S. Ren, “DeepPM: Efficient Power Management in Edge Data Centers using Energy Storage,”
IEEE International Conference on Cloud Computing (CLOUD), 2020.
L. Yang, J. Yang, and S. Ren, “Multi-Feedback Bandit Learning with Probabilistic Contexts,”
International Joint Conference on Artificial Intelligence (IJCAI), 2020.
F. Yang and S. Ren, “On the Vulnerability of Hyperdimensional Computing-Based Classifiers to Adversarial Attacks,”
International Conference on Network and System Security (NSS), 2020. [Video]
F. Yang, M. A. Islam, and S. Ren, “PowerKey: Generating Secret Keys from Power Line Electromagnetic Interferences,”
International Conference on Network and System Security (NSS), 2020. [Video]
Z. Shao, J. Yang, and S. Ren, “Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring,”
AI Safety Workshop (co-located with IJCAI), 2020.
B. Lu, J. Yang, and S. Ren, “Scaling Up Deep Neural Network Optimization for Edge Inference,”
ACM/IEEE Symposium on Edge Computing (SEC, poster), 2020.
2019
B. Lu, J. Yang, L. Y. Chen, and S. Ren, “Automating Deep Neural Network Model Selection for Edge Inference,”
IEEE International Conference on Cognitive Machine Intelligence (CogMI), 2019.
T. Wei, S. Ren, and Q. Zhu, “Deep Reinforcement Learning for Joint Datacenter and HVAC Load Control in Distributed Mixed-Use Buildings,”
IEEE Transactions on Sustainable Computing, Apr. 2019.
2018
M. A. Islam and S. Ren, “Ohm's Law in Data Centers: A Voltage Side Channel for Timing Power Attacks,”
ACM Conference on Computer and Communications Security (CCS), 2018. [Slides][Video]
M. A. Islam, L. Yang, K. Ranganath, and S. Ren, “Why Some Like It Loud: Timing Power Attacks in Multi-tenant Data Centers Using an Acoustic Side Channel,”
ACM International
Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2018. [Slides]
M. A. Islam, X. Ren, S. Ren, and A. Wierman, “A Spot Capacity Market to Increase Power Infrastructure Utilization in Multi-Tenant Data Centers,”
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2018. (Extended abstract appeared at ACM SIGMETRICS 2017)
W. Jiang, S. Ren, F. Liu, and H. Jin, “Non-IT Energy Accounting in Virtualized Datacenter
,”
International Conference on Distributed Computing Systems
(ICDCS), 2018.
2017
M. A. Islam, S. Ren, and A. Wierman, “Exploiting a Thermal Side Channel for Power Attacks in Multi-Tenant Data Centers,”
ACM Conference on Computer and Communications Security (CCS), 2017. [Slides]
[Video]
C.-H. Chou, L. Bhuyan, and S. Ren, “TailCut: Power Reduction under Quality and Latency Constraints in Distributed Search Systems,”
International Conference on Distributed Computing Systems
(ICDCS), 2017.
M. A. Islam, S. Ren, and A. Wierman, “A First Look at Power Attacks in Multi-Tenant Data
Centers,” Greenmetrics (co-located with ACM SIGMETRICS), 2017.
J. Xu, L. Chen, and S. Ren, "[http:ieeexplore.ieee.orgdocument7973020/ Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge
IEEE Transactions on Cognitive Communications and Networking, vol. 3, no.3, pp. 361-373, Sep. 2017.
Q. Sun, S. Ren, and C. Wu, “Fair Online Power Capping for Emergency Handling in Multi-Tenant Cloud Data Centers,” IEEE Transactions on Cloud Computing, vol. pp, no. 99, 2017.
M. A. Islam, H. Mahmud, S. Ren, and X. Wang, “A Carbon-Aware Incentive Mechanism for Greening Colocation Data Centers,” IEEE Transactions on Cloud Computing, vol. pp, no. 99, 2017.
M. A. Islam, S. Ren, G. Quan, and M. Z. Shakir, “Water-Constrained Geographic Load Balancing in Data Centers,”
IEEE Transactions on Cloud Computing (Special Issue on Green and Energy-Efficient Cloud Computing), vol. 5, no. 2, pp. 208-220, April-June 2017.
S. Homsi, S. Liu, G. A. Chaparro-Baquero, O. Bai, S. Ren, and G. Quan, “Workload Consolidation for Cloud Data Centers with Guaranteed QoS Using Request Reneging,”
IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 7, pp. 2103-2116, Jul. 2017.
S. Ren, “Managing Power Capacity as a First-Class Resource in Multi-Tenant Data Centers,” IEEE Internet Computing (special issue
on “Energy-Efficient Data Centers”), vol. 21, no. 4, pp. 8-14, July 2017.
2016
M. A. Islam, X. Ren, S. Ren, A. Wierman, and X. Wang, “A Market Approach for Handling Power Emergencies in Multi-Tenant Data
Center,”
IEEE International Symposium on High Performance Computer Architecture (HPCA), 2016. [Slides]
Q. Sun, S. Ren, C. Wu, and Z. Li, “An Online Incentive Mechanism for Emergency Demand Response
in Geo-Distributed Colocation Data Centers,” ACM International Conference on Future Energy Systems (e-Energy, Best Paper Award), 2016.
M. A. Islam, A. Gandhi, and S. Ren, “Minimizing Electricity Cost for Geo-Distributed Interactive Services with Tail Latency Constraint,”
International Green and Sustainable Computing Conference (IGSC) 2016. [Slides]
M. A. Islam, K. Ahmed, H. Xu, N. H. Tran, G. Quan, and S. Ren, “Exploiting Spatio-Temporal Diversity for Water Saving in Geo-Distributed Data Centers,”
IEEE Transactions on Cloud Computing, vol. pp, no. 99, 2016.
L. Zhang, S. Ren, C. Wu, and Z. Li, “A Truthful Incentive Mechanism for Emergency Demand Response in Geo-distributed Colocation Data Centers”,
ACM Transactions on Modeling and Performance Evaluation of Computing Systems, vol. 1, no. 4, Sep. 2016.
2015
M. A. Islam, H. Mahmud, S. Ren, and X. Wang, “Paying to Save: Reducing Cost of Colocation Data Center via Rewards,”
IEEE International Symposium on High Performance Computer Architecture (HPCA) 2015. [Slides]
J.-M. Yun, Y. He, S. Elnikety, and S. Ren, “Optimal Aggregation Policy for Reducing Tail Latency of Web Search,”
ACM SIG on Information Retrieval (SIGIR), 2015.
N. Chen, X. Ren, S. Ren, and A. Wierman, “Greening Multi-Tenant Data Center Demand Response,”
The 33rd IFIP WG7.3 International Symposium on Computer Performance, Modeling, Measurements and Evaluation (Performance) 2015.
L. Zhang, S. Ren, C. Wu, and Z. Li, “A Truthful Incentive Mechanism for Emergency Demand Response in Colocation Data Centers,”
IEEE Conference on Computer Communications (INFOCOM) 2015.
H. Mahmud, Y. He, and S. Ren, “BATS: Budget-Constrained Autoscaling for Cloud Performance Optimization,”
IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS) 2015. (Extended abstract appeared at ACM SIGMETRICS 2015)
N. Chen, X. Ren, S. Ren, and A. Wierman, “Greening Multi-Tenant Data Center Demand Response,” Elsevia Performance Evaluation, vol. 91, pp. 229-254, Sep. 2015
2014
S. Ren, Y. He, and K. S. McKinley, “A Theoretical Foundation for Scheduling and Designing Heterogeneous Processors for Interactive Applications,”
International Symposium on Distributed Computing (DISC), 2014.
S. Ren and M. A. Islam, “Colocation Demand Response: Why Do I Turn Off My Servers?”
USENIX International Conference on Autonomic Computing (ICAC), 2014.
M. A. Islam, K. Ahmed, S. Ren, and G. Quan, “Exploiting Temporal Diversity of Water Efficiency to Make Data Center Less 'Thirsty’,”
USENIX International Conference on Autonomic Computing (ICAC, special track on Self-Aware Cyber-Physical Systems), 2014.
S. Ren and M. A. Islam, “A First Look at Colocation Demand Response” Greenmetrics (co-located with ACM SIGMETRICS), 2014.
K. Ahmed, M. A. Islam, S. Ren, and G. Quan, “Can Data Center
Become Water Self-Sufficient?” The 6th Workshop on Power-Aware Computing and Systems
(HotPower, co-located with OSDI), 2014.
L. Wang, F. Zhang, K. Zheng, A. V. Vasilakos, S. Ren, and Z. Liu, “Energy-Efficient Flow
Scheduling and Routing with Hard Deadlines in Data Center Networks,” International
Conference on Distributed Computing Systems (ICDCS), 2014.
S. Ren, N. Deligiannis, Y. Andreopoulos, M. A. Islam, and M. van der Schaar, “Dynamic Scheduling for Energy Minimization in
Delay-Sensitive Stream Mining,” IEEE Transactions on Signal Processing, vol. 62, no. 20, pp. 5439-5448, Oct.15, 2014.
2013
S. Ren and Y. He, “COCA: Online Distributed Resource Management for Cost Minimization and Carbon Neutrality in Data Centers,”
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2013.
S. Ren, Y. He, S. Elnikety, and K. McKinley, “Exploiting Processor Heterogeneity in Interactive Services,”
USENIX International Conference on Autonomic Computing (ICAC), 2013.
B.-G. Kim, S. Ren, M. van der Schaar, and J.-W. Lee, “Bidirectional Energy Trading for Residential Load
Scheduling and Electric Vehicles,” IEEE Conference on Computer Communications (INFOCOM), 2013.
S. Ren, J. Park, and M. van der Schaar, “Entry and Spectrum Sharing Scheme Selection in
Femtocell Communications Markets,” IEEE/ACM Transactions on Networking,
vol. 21, no. 2, pp. 218-232, Feb. 2013.
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