Zhengchun Liu

According to our database, Zhengchun Liu authored at least 64 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Stage: Query Execution Time Prediction in Amazon Redshift.

Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska

CoRR, 2024

2023

Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data.

Peng He, Rutian Bi, Lishuai Xu, Zhengchun Liu, Fan Yang, Wenbiao Wang, Zhengnan Cui, Jingshu Wang

Remote. Sens., April, 2023

Advances in Portable Heavy Metal Ion Sensors.

Tao Hu, Qingteng Lai, Wen Fan, Yanke Zhang, Zhengchun Liu

Sensors, 2023

Moving small files in a networked environment.

Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu

Future Gener. Comput. Syst., 2023

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

Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma

CoRR, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.

Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography.

Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu

Proceedings of the 19th IEEE International Conference on e-Science, 2023

FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks.

Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

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

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

Patterns, 2022

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

Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara

CoRR, 2022

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

Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

CoRR, 2022

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

Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster

CoRR, 2022

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

Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri

CoRR, 2022

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

Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster

CoRR, 2022

A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads.

Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur, Venkatram Vishwanath, Zhengchun Liu, Michael E. Papka, Cindy Orozco Bohorquez, Rick Weisner, Karen Li, Yongning Sheng, Yun Du, Jian Zhang, Alexander Tsyplikhin, Gurdaman Khaira, Jeremy Fowers, Ramakrishnan Sivakumar, Victoria Godsoe, Adrian Macias, Chetan Tekur, Matthew Boyd

Proceedings of the IEEE/ACM International Workshop on Performance Modeling, 2022

Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC.

Chengyi Qu, Joaquín Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu

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.

Joaquín Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster

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.

Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster

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?

Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu

Proceedings of the IEEE International Conference on Cluster Computing, 2022

fairDMS: Rapid Model Training by Data and Model Reuse.

Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu

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.

Zhengchun Liu, Rajkumar Kettimuthu, Joaquín Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster

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.

Zhengchun Liu, Zhanjun Xu, Rutian Bi, Chao Wang, Peng He, Yaodong Jing, Wude Yang

Sensors, 2021

Joint ptycho-tomography with deep generative priors.

Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy

Mach. Learn. Sci. Technol., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).

Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon

Int. J. High Perform. Comput. Appl., 2021

End-to-end online performance data capture and analysis for scientific workflows.

George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster

Future Gener. Comput. Syst., 2021

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

Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster

CoRR, 2021

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

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster

CoRR, 2021

Fast and accurate learned multiresolution dynamical downscaling for precipitation.

Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi

CoRR, 2021

Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval.

Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster

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.

Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster

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.

Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Machine Learning for Networking - 4th International Conference, 2021

3d Autoencoders For Feature Extraction In X-Ray Tomography.

Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

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

Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster

CoRR, 2020

Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements.

Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster

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.

Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari

Proceedings of the International Conference for High Performance Computing, 2020

Characterization and identification of HPC applications at leadership computing facility.

Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

2019

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

Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster

CoRR, 2019

Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements.

Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 2019 IEEE/ACM Innovating the Network for Data-Intensive Science, 2019

Deep Learning Accelerated Light Source Experiments.

Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Scientific Image Restoration Anywhere.

Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster

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.

Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Machine Learning for Networking, 2019

Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud.

Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Measurements and analytics of wide-area file transfers over dedicated connections.

Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

Toward an Elastic Data Transfer Infrastructure.

Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the 15th International Conference on eScience, 2019

Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations.

Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster

Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.

Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Toward a smart data transfer node.

Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman

Future Gener. Comput. Syst., 2018

Transferring a petabyte in a day.

Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello

Future Gener. Comput. Syst., 2018

Throughput Analytics of Data Transfer Infrastructures.

Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

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.

Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster

Proceedings of the Machine Learning for Networking - First International Conference, 2018

Building a Wide-Area File Transfer Performance Predictor: An Empirical Study.

Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster

Proceedings of the Machine Learning for Networking - First International Conference, 2018

A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility.

Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Cross-geography scientific data transferring trends and behavior.

Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao

Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.

Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary

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.

Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque

J. Comput. Sci., 2017

A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity.

Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque

Comput. Ind. Eng., 2017

Support managing population aging stress of emergency departments in a computational way.

Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque

Proceedings of the International Conference on Computational Science, 2017

Explaining Wide Area Data Transfer Performance.

Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster

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.

Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster

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.

Zhengchun Liu

PhD thesis, 2016

2015

Simulating the micro-level behavior of emergency department for macro-level features prediction.

Zhengchun Liu, Dolores Rexachs, Emilio Luque, Francisco Epelde, Eduardo Cabrera

Proceedings of the 2015 Winter Simulation Conference, 2015

Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study.

Xueping Zhu, Zhengchun Liu, Jun Yang

Proceedings of the International Conference on Computational Science, 2015

Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems.

Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs, Emilio Luque

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.

Xueping Zhu, Zhengchun Liu, Jun Yang

Proceedings of the AsiaSim 2013, 2013