Full publication list on Google Scholar.

Selected Publications

2024

• Why TPC is not enough: An analysis of the Amazon Redshift Fleet .
  Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Eknath Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska.
  VLDB 2024 - 50th International Conference on Very Large Data Bases

• Intelligent Scaling in Amazon Redshift
  Vikram Nathan, Vikramank Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska.
  2024 The ACM Special Interest Group on Management of Data.
  Keynote at AWS ReInvent, Product, News.

• 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.
  2024 The ACM Special Interest Group on Management of Data. slides

• MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes
  Xiaolong Ma, Feng Yan, Lei Yang, Ian Foster, Michael Papka, Zhengchun Liu, Rajkumar Kettimuthu.
  2024, 15th ACM/SPEC International Conference on Performance Engineering.
  

• Rapid detection of rare events from in situ X-ray diffraction data using machine learning
  Zheng, Weijian, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, and Hemant Sharma
  Journal of Applied Crystallography, Volume 57, August 2024, Pages 1158-1170

2023

• FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks
  Zhengchun Liu, Rajkumar Kettimuthu, Michael E Papka, Ian Foster
  2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)

• 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
  Nature Communications 14, 7059 (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 Foster, Scott Klasky
  2023 the 32nd International Symposium on High-Performance Parallel and Distributed Computing

• Tomo2Mesh: Fast porosity mapping and visualization for synchrotron tomography
  Aniket Tekawade, Viktor Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian Foster, Rajkumar Kettimuthu
  2023 IEEE 19th International Conference on e-Science

• Full Waveform Inversion-Based Ultrasound Computed Tomography Acceleration Using Two-Dimensional Convolutional Neural Networks
  Christopher Kleman, Shoaib Anwar, Zhengchun Liu, Jiaqi Gong, Xishi Zhu, Austin Yunker, Rajkumar Kettimuthu, Jiaze He
  Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

• Moving Small Files in a Networked Environment.
  Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu.
  Future Generation Computer Systems, Vol. 139, Feb. 2023, Pages 167-180

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
  arXiv:2209.09408.

• 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 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.
  13th IEEE International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (in conjunction with SC’22)

• Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study.
  Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster.
  arXiv:2209.01356, Code.

• 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 and Ian Foster.
  Scientific Data(2022). Preprint.

• fairDMS: Rapid Model Training by Data and Model Reuse.
  Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian Foster, Ryan Coffee, Jana Thayer, Zhengchun Liu.
  2022 IEEE International Conference on Cluster Computing. Preprint.

• What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us?.
  Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William Allcock, Paul Rich and Zhengchun Liu.
  2022 IEEE International Conference on Cluster Computing.

• SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments.
  Joaquin Chung, Wojciech Zacherek, AJ Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu and Ian Foster.
  The 31st International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’22).

• Real-Time Streaming and Event-driven Control of Scientific Experiments.
  Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian Foster, Santanu Chaudhuri.

• Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences.
  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 Foster.
  Patterns(2022) Vol. 3, ISSUE 10, Oct. 14, 2022
  

2021

• Braid-DB: Toward AI-Driven Science with Machine Learning Provenance.
  Justin Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian Foster.
  SMC 2021. Communications in Computer and Information Science, vol 1512. Springer.

• BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes.
  Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian Foster. Preprint], Code].

• 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 Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian Foster.
  The 3rd Workshop on Extreme-Scale Experiment-in-the-Loop Computing @ SC’21, Best paper awarded, Preprint, Highlight.

• 3D Autoencoders For Feature Extraction In X-ray Tomography.
  Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian Foster.
  2021 IEEE International Conference on Image Processing.

• Fast and accurate learned multiresolution dynamical downscaling for precipitation.
  Jiali Wang, Zhengchun Liu, Ian Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi.
  Journal of Geoscientific Model Development, 14, 6355–6372, 2021. PDF],Code]

• BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning.
  Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Antonino Miceli, Jonathan Almer, Rajkumar Kettimuthu, Ian Foster.
  International Union of Crystallography(IUCrJ), Vol. 9, No. 1, 2022. Code], Commentary], Story].

2020

• Log-Based Identification, Classification, and Behavior Prediction of HPC Applications.
  Ryan D. Lewis, Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka.
  SC’20 HPC Systems Professionals Workshop HPCSYSPROS. PDF].

• 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.
  SC’20 workshop on Artificial Intelligence and Machine Learning for Scientific Applications. PDF].

• Joint Ptycho-Tomography with Deep Generative Priors
  Selin Aslan, Zhengchun Liu, Viktor Nikitin, Tekin Bicer, Sven Leyffer, Doga Gursoy
  Journal of Machine Learning: Science and Technology, IOPscience, Vol 2, No. 4 PDF].

• Job Characteristics on Large-Scale Systems: Long-Term Analysis, Quantification, and Implications.
  Tirthak Patel, Zhengchun Liu, Rajkumar Kettimuthu, Paul Rich, Bill Allcock, Devesh Tiwari.
  The International Conference for High Performance Computing, Networking, Storage, and Analysis(SC’20).

• Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage.
  Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian Foster.
  ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ToMPECS), Vol 6, No.1. PDF], Code]

• Characterization and Identification of HPC Applications at Leadership Computing Facility.
  Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip Carns, Nageswara Rao, Ian Foster and Michael Papka.
  International Conference on Supercomputing 2020 (ICS’20). PDF], Slides].

• Log-based Fingerprinting of HPC Applications
  Ryan Lewis, Zhengchun Liu, Rajkumar Kettimuthu and Michael Papka.
  ISC High Performance 2020 (ISC’20). poster].

• Cyberinfrastructure and System Software for Online Analysis of Large-Scale Data: Challenges and Design Choices. Handbook on Big Data and Machine Learning in the Physical Sciences. Volume 2: Advanced Analysis Solutions for Leading Experimental Techniques.
  Rajkumar Kettimuthu, Zhengchun Liu, Tekin Bicer, Ian Foster.

2019

• Scientific Image Restoration Anywhere
  Vibhatha Abeykoon, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Geoffrey Fox and Ian Foster.
  IEEE/ACM 1st Annual Workshop on Large-scale Experiment-in-the-Loop Computing (XLOOP, SC’19). PDF].

• Deep Learning Accelerated Light Source Experiments .
  Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu and Ian Foster.
  IEEE/ACM 3rd Workshop on Deep Learning on Supercomputers. PDF], Video], Slides].

• Toward an Elastic Data Transfer Infrastructure.
  Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu and Ian Foster.
  The IEEE International Conference on eScience slides], PDF].

• TomoGAN: Low-Dose Synchrotron X-Ray Tomography with Generative Adversarial Networks.
  Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gursoy, Francesco De Carlo and Ian Foster.
  Journal of the Optical Society of America A, Vol. 37, No. 3, February 2020. PDF], Code]

• Data transfer between scientific facilities - bottleneck analysis, insights and optimizations
  Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen and Ian Foster.
  The 19th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid’19). PDF], Slides].

• Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
  Qiao Kang, Ankit Agrawal, Alok Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter Beckman, Zhengchun Liu and Wei-keng Liao.
  BDPM@IEEE Big Data, 2019.

• Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements.
  Nageswara Rao, Neena Imam, Rajkumar Kettimuthu, Zhengchun Liu and Ian Foster.
  2019 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS)

• Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses.
  Nageswara Rao, Neena Imam, Rajkumar Kettimuthu, Zhengchun Liu and Ian Foster.
  International Conference on Machine Learning for Networking (MLN’19), Best paper award.

• Measurements and Analytics of Wide-Area File Transfers over Dedicated Connections.
  Nageswara Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, and Ian Foster.
  The 20th International Conference on Distributed Computing and Networking (ICDCN’19).

2018

• Building a Wide-Area File Transfer Performance Predictor: An Empirical Study
  Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao and Ian Foster.
  International Conference on Machine Learning for Networking (MLN’18). Preprint. Slides].

• End-to-End Online Performance Data Capture and Analysis for Scientific Workflows.
  George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreir da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayania, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian Foster.
  Future Generation Computer Systems(FGCS), 2021(117). Preprint, FGCS 2021 Best Paper Award.

• Toward Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.
  Rajkumar Kettimuthu, Zhengchun Liu, Ian Foster, Peter H. Beckman, Alex Sim, John Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, and Alok Choudhary.
  The 1st AI-Science workshop (AI-Science, HPDC’18). PDF.

• Towards a Smart Data Transfer Node.
  Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster, Peter H. Beckman.
  Future Generation Computer Systems Vol. 89, December 2018, Pages 10-18. Preprint.

• Transferring a Petabyte in a Day.
  Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian Foster, Katrin Heitmann, Franck Cappello.
  Future Generation Computer Systems. Vol. 88, November 2018, pages 191-198. Preprint.

• A comprehensive study of wide area data movement at a scientific computing facility.
  Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster and Yuanlai Liu.
  2018 IEEE 38th International Conference on Distributed Computing Systems (SNTA, ICDCS’18). Preprint.

• Cross-geography Scientific Data Transferring Trends and Behavior.
  Zhengchun Liu, Rajkumar Kettimuthu, Ian Foster and Nageswara S.V. Rao.
  The 27th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’18). Preprint, Poster, Slides.

• Throughput Analytics of Data Transfer Infrastructures.
  Nageswara Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, and Ian Foster.
  The 13th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TRIDENTCOM’18), Best paper awarded.

• Learning Concave-Convex Profiles of Data Transport Over Dedicated Connections.
  Nageswara Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu and Ian Foster.
  The 1st International Conference on Machine Learning for Networking (MLN’18), Best paper awarded.

2017

• A mathematical programming and simulation based framework to evaluate cyberinfrastructure design choices.
  Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar and Ian Foster.
  The 13th IEEE International Conference on eScience (eScience’17). Preprint.

• Explaining Wide Area Data Transfer Performance.
  Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu and Ian Foster.
  The 26th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC’17). Preprint, Highlight, Poster, Slides.

• A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity.
  Zhengchun Liu, Dolores Rexachs, Francisco Epelde and Emilio Luque.
  Computers & Industrial Engineering, Vol. 103, January 2017, Pages 300-309. Preprint.

• An Agent-based Model for Quantitatively Predicting and Analyzing the Complex Behavior of Emergency Departments.
  Zhengchun Liu, Dolores Rexachs, Francisco Epelde and Emilio Luque.
  Journal of Computational Science, Vol.21, July 2017, Pages 11–23. Preprint.

Earlier (Archived) Work on Modeling & Simulation

• Support managing population aging stress of emergency departments in a computational way.
  Zhengchun Liu, Dolores Rexachs, Francisco Epelde and Emilio Luque.
  2017 International Conference on Computational Science (ICCS’17). Preprint.

• Simulating the Micro-level Behavior of Emergency Department for Macro-level Features Prediction.
  Zhengchun Liu, Eduardo Cabrera, Dolores Rexachs, Francisco Epelde and Emilio Luque.
  2015 Winter Simulation Conference (WSC’15). Slides.

• Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems.
  Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs and Emilio Luque.
  2015 International Conference on Computational Science (ICCS’15).

• Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study.
  Xueping Zhu, Zhengchun Liu and Jun Yang.
  2015 International Conference on Computational Science (ICCS’15). Slides.

• A Generalized Agent-Based Model to Simulate Emergency Departments.
  Zhengchun Liu, Eduardo Cabrera, Dolores Rexachs and Emilio Luque.
  The 6th International Conference on Advances in System Simulation (SIMUL’14). Slides, Preprint.

• A Bottom-up Simulation Method to Quantitatively Predict Integrated Care System Performance.
  Zhengchun Liu, Francisco Epelde, Dolores Rexachs and Emilio Luque.
  International Journal of Integrated Care, 16(6):A145 2016. Slides

• Correlation between Piezoresponse Nonlinearity and Hysteresis in Ferroelectric Crystals at Nanoscale..
  Linglong Li, Yaodong Yang, Zhengchun Liu, Stephen Jesse, Sergei V. Kalinin and Rama K. Vasudevan.
  Applied Physics Letters, Vol.108, January 2017, Pages 300–309.

• Modeling and Simulation for Healthcare Operations Management using High Performance Computing and Agent-Based Model. [thesis overview]
  Zhengchun Liu and Emilio Luque.
  Journal of Computer Science & Technology, Vol. 17, 2017. PDF]

• High Performance Computing Based Simulation for Healthcare Decision Support.
  Zhengchun Liu.
  The Second International BSC Doctoral Symposium, Barcelona, Spain. May 5-7, 2015. Slides, Abstract].

• Study of Emergency Department by Using High Performance Computing.
  Zhengchun Liu, Eduardo Cabrera, Dolores Rexachs and Emilio Luque.
  XXV Jornadas de Paralelismo Valladolid (national). September 2014 PDF]. Jornadas sarteco 2014

• A Simulator of Emergency Departments for Decision Support and QoS Improving poster].
  Zhengchun Liu, Emilio Luque, Dolores Rexachs, Francisco Epelde, Eduardo Cabrera, Manel Taboada González.
  V CONFERENCE: R+D+I Research and Development in ICT and Health. Girona, Spain, June 2014.

• Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker’s Stabilization Platform Design.
  Xueping Zhu, Zhengchun Liu, and Jun Yang.
  AsiaSim 2013. Singapore, November 6-8, 2013.

• Design and Implementation of a Missile Seeker Virtual Test-Bed Based on High Level Architecture.
  Zhengchun Liu and Jun Yang.
  Proceedings of the 2012 the 3d International Conference on Mechanic Automation and Control Engineering. July 27-29, 2012.