Zhengchun Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 67

Top Topics

Comprehensive Evaluation

Top Venues

Future Gener. Comput. Syst.

Publications

Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion (2024)
Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE (2024)
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. SIGMOD Conference Companion (2024)
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 (2024)
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 (2024)
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid (2023)
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 (2023)
Peng He, Rutian Bi, Lishuai Xu, Zhengchun Liu, Fan Yang, Wenbiao Wang, Zhengnan Cui, Jingshu Wang
Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data. Remote. Sens. 15 (8) (2023)
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)
Tao Hu, Qingteng Lai, Wen Fan, Yanke Zhang, Zhengchun Liu
Advances in Portable Heavy Metal Ion Sensors. Sensors 23 (8) (2023)
Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu
Moving small files in a networked environment. Future Gener. Comput. Syst. 139 (2023)
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC (2023)
Chengyi Qu, Joaquín Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu
Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC (2022)
Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER (2022)
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan Coffee, Jana Thayer, Zhengchun Liu
fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER (2022)
Nikil Ravi, Pranshu Chaturvedi, E. 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 (2022)
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
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR (2022)
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 (2022)
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
A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR (2022)
Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3 (10) (2022)
Joaquín Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC (2022)
Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR (2022)
Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan Coffee, Jana Thayer, Zhengchun Liu
fairDMS: Rapid Model Training by Data and Model Reuse. CoRR (2022)
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC (2022)
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
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117 (2021)
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)
Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR (2021)
Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC (2021)
Francis J. Alexander, James 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
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35 (6) (2021)
Zhengchun Liu, Rajkumar Kettimuthu, Joaquín 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) (2021)
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)
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)
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) (2021)
Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi
Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR (2021)
Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy
Joint ptycho-tomography with deep generative priors. Mach. Learn. Sci. Technol. 2 (4) (2021)
Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan Coffee, Ryan Herbst, Jana Thayer, Chun Hong Yoon, Ian T. Foster
Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR (2021)
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)
Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka
Characterization and identification of HPC applications at leadership computing facility. ICS (2020)
Zhengchun Liu, Rajkumar Kettimuthu, Joaquín Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR (2020)
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 (2020)
Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC (2020)
Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster
Scientific Image Restoration Anywhere. XLOOP@SC (2019)
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)
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)
Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN (2019)
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
Deep Learning Accelerated Light Source Experiments. CoRR (2019)
Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster
Scientific Image Restoration Anywhere. CoRR (2019)
Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Toward an Elastic Data Transfer Infrastructure. eScience (2019)
Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData (2019)
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 (2019)
Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP (2019)
Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
Deep Learning Accelerated Light Source Experiments. DLS@SC (2019)
Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID (2019)
Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM (2018)
Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao
Cross-geography scientific data transferring trends and behavior. HPDC (2018)
Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88 (2018)
Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN (2018)
Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC (2018)
Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu
A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS (2018)
Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman
Toward a smart data transfer node. Future Gener. Comput. Syst. 89 (2018)
Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN (2018)
Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Comput. Ind. Eng. 103 (2017)
Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
Support managing population aging stress of emergency departments in a computational way. ICCS (2017)
Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster
Explaining Wide Area Data Transfer Performance. HPDC (2017)
Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience (2017)
Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments. J. Comput. Sci. 21 (2017)
Zhengchun Liu, Dolores Rexachs, Emilio Luque, Francisco Epelde, Eduardo Cabrera
Simulating the micro-level behavior of emergency department for macro-level features prediction. WSC (2015)
Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs, Emilio Luque
Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems. ICCS (2015)
Xueping Zhu, Zhengchun Liu, Jun Yang
Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study. ICCS (2015)
Xueping Zhu, Zhengchun Liu, Jun Yang
Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker's Stabilization Platform Design. AsiaSim (2013)