Zhengchun Liu

Orcid: 0000-0002-6647-4423

According to our database1, Zhengchun Liu authored at least 68 papers between 2013 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet.
Proc. VLDB Endow., July, 2024

MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes.
CoRR, 2024

MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes.
Proceedings of the 15th ACM/SPEC International Conference on Performance Engineering, 2024

Stage: Query Execution Time Prediction in Amazon Redshift.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Intelligent Scaling in Amazon Redshift.
Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

2023
Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data.
Remote. Sens., April, 2023

Advances in Portable Heavy Metal Ion Sensors.
Sensors, 2023

Moving small files in a networked environment.
Future Gener. Comput. Syst., 2023

Rapid detection of rare events from in situ X-ray diffraction data using machine learning.
CoRR, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022
Linking scientific instruments and computation: Patterns, technologies, and experiences.
Patterns, 2022

Deep learning at the edge enables real-time streaming ptychographic imaging.
CoRR, 2022

Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study.
CoRR, 2022

FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy.
CoRR, 2022

Real-Time Streaming and Event-driven Control of Scientific Experiments.
CoRR, 2022

Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
CoRR, 2022


Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC.
Proceedings of the IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, 2022

SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Large Scale Caching and Streaming of Training Data for Online Deep Learning.
Proceedings of the FlexScience '22: Proceedings of the 12th Workshop on AI and Scientific Computing at Scale using Flexible Computing Infrastructures, 2022

What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us?
Proceedings of the IEEE International Conference on Cluster Computing, 2022

fairDMS: Rapid Model Training by Data and Model Reuse.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021

Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model.
Sensors, 2021

Joint ptycho-tomography with deep generative priors.
Mach. Learn. Sci. Technol., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

End-to-end online performance data capture and analysis for scientific workflows.
Future Gener. Comput. Syst., 2021

BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes.
CoRR, 2021

Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval.
CoRR, 2021

Fast and accurate learned multiresolution dynamical downscaling for precipitation.
CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.
Proceedings of the 3rd Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2021

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Cross Inference of Throughput Profiles Using Micro Kernel Network Method.
Proceedings of the Machine Learning for Networking - 4th International Conference, 2021

3d Autoencoders For Feature Extraction In X-Ray Tomography.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning.
CoRR, 2020

Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Job characteristics on large-scale systems: long-term analysis, quantification, and implications.
Proceedings of the International Conference for High Performance Computing, 2020

Characterization and identification of HPC applications at leadership computing facility.
Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks.
CoRR, 2019

Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements.
Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019

Deep Learning Accelerated Light Source Experiments.
Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Scientific Image Restoration Anywhere.
Proceedings of the 1st IEEE/ACM Annual Workshop on Large-scale Experiment-in-the-Loop Computing, 2019

Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses.
Proceedings of the Machine Learning for Networking, 2019

Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Measurements and analytics of wide-area file transfers over dedicated connections.
Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Toward an Elastic Data Transfer Infrastructure.
Proceedings of the 15th International Conference on eScience, 2019

Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Toward a smart data transfer node.
Future Gener. Comput. Syst., 2018

Transferring a petabyte in a day.
Future Gener. Comput. Syst., 2018

Throughput Analytics of Data Transfer Infrastructures.
Proceedings of the Testbeds and Research Infrastructures for the Development of Networks and Communications, 2018

Learning Concave-Convex Profiles of Data Transport over Dedicated Connections.
Proceedings of the Machine Learning for Networking - First International Conference, 2018

Building a Wide-Area File Transfer Performance Predictor: An Empirical Study.
Proceedings of the Machine Learning for Networking - First International Conference, 2018

A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Cross-geography scientific data transferring trends and behavior.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

2017
An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments.
J. Comput. Sci., 2017

A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity.
Comput. Ind. Eng., 2017

Support managing population aging stress of emergency departments in a computational way.
Proceedings of the International Conference on Computational Science, 2017

Explaining Wide Area Data Transfer Performance.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices.
Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016
Modeling and simulation for healthcare operations management using high performance computing and agent-based model.
PhD thesis, 2016

2015
Simulating the micro-level behavior of emergency department for macro-level features prediction.
Proceedings of the 2015 Winter Simulation Conference, 2015

Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study.
Proceedings of the International Conference on Computational Science, 2015

Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems.
Proceedings of the International Conference on Computational Science, 2015

2013
Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker's Stabilization Platform Design.
Proceedings of the AsiaSim 2013, 2013


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