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Zhengchun Liu
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2020 – today
- 2024
- [j14]Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska:
Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet. Proc. VLDB Endow. 17(11): 3694-3706 (2024) - [c41]Vikram Nathan
, Vikramank Y. Singh
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion 2024: 269-279 - [c40]Ziniu Wu
Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion 2024: 280-294 - [c39]Xiaolong Ma
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE 2024: 190-200 - [i17]Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska:
Stage: Query Execution Time Prediction in Amazon Redshift. CoRR abs/2403.02286 (2024) - [i16]Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu:
MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR abs/2404.15668 (2024) - 2023
- [j13]Chao Jin, David Abramson
Moving small files in a networked environment. Future Gener. Comput. Syst. 139: 167-180 (2023) - [j12]Peng He, Rutian Bi
Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data. Remote. Sens. 15(8): 2095 (2023) - [j11]Tao Hu, Qingteng Lai, Wen Fan, Yanke Zhang, Zhengchun Liu
Advances in Portable Heavy Metal Ion Sensors. Sensors 23(8): 4125 (2023) - [c38]Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid 2023: 299-310 - [c37]Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu:
Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science 2023: 1-10 - [c36]Lipeng Wan
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC 2023: 87-100 - [i15]Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR abs/2312.03989 (2023) - 2022
- [j10]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [c35]Tirthak Patel
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER 2022: 35-46 - [c34]Ahsan Ali, Hemant Sharma
fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER 2022: 394-405 - [c33]Jie Liu, Bogdan Nicolae
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC 2022: 19-26 - [c32]Joaquin Chung
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC 2022: 185-198 - [c31]Chengyi Qu
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC 2022: 25-31 - [c30]Murali Emani, Zhen Xie, Siddhisanket Raskar, Varuni Sastry, William Arnold, Bruce Wilson, Rajeev Thakur
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 2022: 13-25 - [i14]Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i13]Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CoRR abs/2204.09805 (2022) - [i12]Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR abs/2205.01476 (2022) - [i11]Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR abs/2207.00611 (2022) - [i10]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR abs/2209.01356 (2022) - [i9]Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022) - 2021
- [j9]George Papadimitriou
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021) - [j8]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j7]Selin S. Aslan
Joint ptycho-tomography with deep generative priors. Mach. Learn. Sci. Technol. 2(4): 45017 (2021) - [j6]Zhengchun Liu, Zhanjun Xu, Rutian Bi, Chao Wang, Peng He, Yaodong Jing, Wude Yang:
Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model. Sensors 21(4): 1247 (2021) - [j5]Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(1): 3:1-3:25 (2021) - [c29]Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster:
3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP 2021: 3477-3481 - [c28]Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN 2021: 48-68 - [c27]Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC 2021: 247-261 - [c26]Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 2021: 15-23 - [i8]Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi:
Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR abs/2101.06813 (2021) - [i7]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:
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR abs/2105.13967 (2021) - [i6]Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster:
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR abs/2106.12091 (2021) - 2020
- [c25]Zhengchun Liu, Ryan Lewis
Characterization and identification of HPC applications at leadership computing facility. ICS 2020: 29:1-29:12 - [c24]Tirthak Patel
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC 2020: 84 - [c23]Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster:
Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. MLHPC/AI4S@SC 2020: 88-95 - [i5]Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster:
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. CoRR abs/2008.08198 (2020) - [i4]Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR abs/2009.03190 (2020)
2010 – 2019
- 2019
- [c22]Qiao Kang
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData 2019: 4381-4389 - [c21]Yuanlai Liu, Zhengchun Liu
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID 2019: 122-131 - [c20]Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Toward an Elastic Data Transfer Infrastructure. eScience 2019: 262-265 - [c19]Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen
Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN 2019: 183-192 - [c18]Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP 2019: 1-2 - [c17]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN 2019: 154-174 - [c16]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. XLOOP@SC 2019: 8-13 - [c15]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC 2019: 17-24 - [c14]Zhengchun Liu, Tekin Bicer
Deep Learning Accelerated Light Source Experiments. DLS@SC 2019: 20-28 - [i3]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster:
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR abs/1902.07582 (2019) - [i2]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. CoRR abs/1910.04081 (2019) - [i1]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. CoRR abs/1911.05878 (2019) - 2018
- [j4]Rajkumar Kettimuthu, Zhengchun Liu
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018) - [j3]Zhengchun Liu
Toward a smart data transfer node. Future Gener. Comput. Syst. 89: 10-18 (2018) - [c13]Rajkumar Kettimuthu, Zhengchun Liu
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9 - [c12]Zhengchun Liu
Cross-geography scientific data transferring trends and behavior. HPDC 2018: 267-278 - [c11]Zhengchun Liu
A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS 2018: 1604-1611 - [c10]Nageswara S. V. Rao, Satyabrata Sen
Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN 2018: 1-22 - [c9]Zhengchun Liu
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN 2018: 56-78 - [c8]Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM 2018: 20-40 - 2017
- [j2]Zhengchun Liu
A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Comput. Ind. Eng. 103: 300-309 (2017) - [j1]Zhengchun Liu
An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments. J. Comput. Sci. 21: 11-23 (2017) - [c7]Zhengchun Liu
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience 2017: 148-157 - [c6]Zhengchun Liu
Explaining Wide Area Data Transfer Performance. HPDC 2017: 167-178 - [c5]Zhengchun Liu
Support managing population aging stress of emergency departments in a computational way. ICCS 2017: 149-158 - 2016
- [b1]Zhengchun Liu:
Modeling and simulation for healthcare operations management using high performance computing and agent-based model. Autonomous University of Barcelona, Spain, 2016 - 2015
- [c4]Zhengchun Liu
Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems. ICCS 2015: 433-442 - [c3]Xueping Zhu, Zhengchun Liu
Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study. ICCS 2015: 493-502 - [c2]Zhengchun Liu
Simulating the micro-level behavior of emergency department for macro-level features prediction. WSC 2015: 171-182 - 2013
- [c1]Xueping Zhu, Zhengchun Liu
Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker's Stabilization Platform Design. AsiaSim 2013: 105-113
Coauthor Index
Rajkumar Kettimuthu
aka: Raj Kettimuthu
aka: Raj Kettimuthu
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last updated on 2024-12-22 19:04 CET by the dblp team
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