Wenli Zheng

Orcid: 0000-0002-5010-2326

According to our database1, Wenli Zheng authored at least 49 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Bayesian-Driven Automated Scaling in Stream Computing With Multiple QoS Targets.
IEEE Trans. Parallel Distributed Syst., July, 2024

A Sim-to-Real Instance Segmentation Framework for Densely Stacked Cartons.
IEEE Robotics Autom. Lett., June, 2024

Predicting Bird's-Eye-View Semantic Representations Using Correlated Context Learning.
IEEE Robotics Autom. Lett., May, 2024

Dynamic heterogeneous attributed network embedding.
Inf. Sci., 2024

An Integrated Multi-omics prediction model for stroke recurrence based on Lnet transformer layer and dynamic weighting mechanism.
Comput. Biol. Medicine, 2024

2023
Few-shot time-series anomaly detection with unsupervised domain adaptation.
Inf. Sci., November, 2023

Kronos: towards bus contention-aware job scheduling in warehouse scale computers.
Frontiers Comput. Sci., 2023

2022
Exploiting big.LITTLE Batteries for Software Defined Management on Mobile Devices.
IEEE Trans. Mob. Comput., 2022

Integrated Power Anomaly Defense: Towards Oversubscription-Safe Data Centers.
IEEE Trans. Cloud Comput., 2022

Reliability and Incentive of Performance Assessment for Decentralized Clouds.
J. Comput. Sci. Technol., 2022

Performance optimization for cloud computing systems in the microservice era: state-of-the-art and research opportunities.
Frontiers Comput. Sci., 2022

On finite termination of the generalized Newton method for solving absolute value equations.
CoRR, 2022

CSC: Collaborative System Configuration for I/O-Intensive Applications in Multi-Tenant Clouds.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

LoADPart: Load-Aware Dynamic Partition of Deep Neural Networks for Edge Offloading.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

FaaSFlow: enable efficient workflow execution for function-as-a-service.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021
Exploring 3D Human Action Recognition Using STACOG on Multi-View Depth Motion Maps Sequences.
Sensors, 2021

AuTraScale: An Automated and Transfer Learning Solution for Streaming System Auto-Scaling.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

QoS-Aware and Resource Efficient Microservice Deployment in Cloud-Edge Continuum.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

SmartDistance: A Mobile-based Positioning System for Automatically Monitoring Social Distance.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

FIFL: A Fair Incentive Mechanism for Federated Learning.
Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

A Fast Domain Adaptation Network for Image Super-Resolution.
Proceedings of the Image and Graphics - 11th International Conference, 2021

CHARM: Collaborative Host and Accelerator Resource Management for GPU Datacenters.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021

2020
Predicting and reining in application-level slowdown on spatial multitasking GPUs.
J. Parallel Distributed Comput., 2020

Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters.
CoRR, 2020

DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

CAPMAN: Cooling and Active Power Management in big.LITTLE Battery Supported Devices.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

2019
URSA: Precise Capacity Planning and Contention-aware Scheduling for Public Clouds.
CoRR, 2019

SprintCon: Controllable and Efficient Computational Sprinting for Data Center Servers.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters.
Proceedings of the ACM International Conference on Supercomputing, 2019

When Power Oversubscription Meets Traffic Flood Attack: Re-Thinking Data Center Peak Load Management.
Proceedings of the 48th International Conference on Parallel Processing, 2019

POSTER: Precise Capacity Planning for Database Public Clouds.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018
Automatic Fault Detection for 2D Seismic Data Based on the Seismic Coherence of Mutative Scale Analysis Window.
Proceedings of the Intelligence Science II, 2018

Power Grab in Aggressively Provisioned Data Centers: What is the Risk and What Can Be Done About It.
Proceedings of the 36th IEEE International Conference on Computer Design, 2018

2017
Hybrid Energy Storage with Supercapacitor for Cost-Efficient Data Center Power Shaving and Capping.
IEEE Trans. Parallel Distributed Syst., 2017

PowerNetS: Coordinating Data Center Network With Servers and Cooling for Power Optimization.
IEEE Trans. Netw. Serv. Manag., 2017

2016
Data center power minimization with placement optimization of liquid-cooled servers and free air cooling.
Sustain. Comput. Informatics Syst., 2016

TECfan: Coordinating Thermoelectric Cooler, Fan, and DVFS for CMP Energy Optimization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015
TE-Shave: Reducing Data Center Capital and Operating Expenses with Thermal Energy Storage.
IEEE Trans. Computers, 2015

BYY harmony learning of log-normal mixtures with automated model selection.
Neurocomputing, 2015

Data Center Sprinting: Enabling Computational Sprinting at the Data Center Level.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Reducing the expenses of geo-distributed data centers with portable containerized modules.
Perform. Evaluation, 2014

Diagonal Log-Normal Generalized RBF Neural Network for Stock Price Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Coordinating Liquid and Free Air Cooling with Workload Allocation for Data Center Power Minimization.
Proceedings of the 11th International Conference on Autonomic Computing, 2014

Exploiting thermal energy storage to reduce data center capital and operating expenses.
Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

Placement optimization of liquid-cooled servers for power minimization in data centers.
Proceedings of the International Green Computing Conference, 2014


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