Zhengchun Liu - RankMe

78 papers A 7B 7C 2Misc 6Journal 36Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Method for Measuring Liquid Volume in Transparent Glass Vials Utilizing Image Processing and Feature Recognition. IEEE Trans. Instrum. Meas. Weixuan Shao, Yuchen Wang, Di Wu, Qixuan Gao, Mohammadreza Shokouhimehr, Zhengchun Liu
2025	J	`jnl`	PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking. CoRR Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan
2025	J	`jnl`	PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking. Proc. VLDB Endow. Yan Zhou, Chunwei Liu, Bhuvan Urgaonkar, Zhengle Wang, Magnus Mueller, Chao Zhang, Songyue Zhang, Pascal Pfeil, Dominik Horn, Zhengchun Liu, Davide Pagano, Tim Kraska, Samuel Madden, Ju Fan
2025	J	`jnl`	Portable Electrocardiogram System Based on iDR-RLS Filtering. Circuits Syst. Signal Process. Di Wu, Wen Fan, Jiafeng Ding, Chang Zeng, Long Mo, Zhengchun Liu
2025	J	`jnl`	Research on the Characteristics and Optimization of Pulse Discharge Reluctance Launching Circuit. IEEE Access Wenda Qi, Yanling Wang, Zhengchun Liu, Chenglong Nie
2024	—	`conf`	Intelligent Scaling in Amazon Redshift. SIGMOD Conference Companion Vikram Nathan, Vikramank Y. Singh, Zhengchun Liu, Mohammad Rahman, Andreas Kipf, Dominik Horn, Davide Pagano, Gaurav Saxena, Balakrishnan Narayanaswamy, Tim Kraska
2024	J	`jnl`	MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes. CoRR Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
2024	B	`conf`	MalleTrain: Deep Neural Networks Training on Unfillable Supercomputer Nodes. ICPE Xiaolong Ma, Feng Yan, Lei Yang, Ian T. Foster, Michael E. Papka, Zhengchun Liu, Rajkumar Kettimuthu
2024	—	`conf`	Stage: Query Execution Time Prediction in Amazon Redshift. SIGMOD Conference Companion Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024	J	`jnl`	Stage: Query Execution Time Prediction in Amazon Redshift. CoRR Ziniu Wu, Ryan Marcus, Zhengchun Liu, Parimarjan Negi, Vikram Nathan, Pascal Pfeil, Gaurav Saxena, Mohammad Rahman, Balakrishnan Narayanaswamy, Tim Kraska
2024	J	`jnl`	Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet. Proc. VLDB Endow. Alexander van Renen, Dominik Horn, Pascal Pfeil, Kapil Vaidya, Wenjian Dong, Murali Narayanaswamy, Zhengchun Liu, Gaurav Saxena, Andreas Kipf, Tim Kraska
2023	J	`jnl`	Advances in Portable Heavy Metal Ion Sensors. Sensors Tao Hu, Qingteng Lai, Wen Fan, Yanke Zhang, Zhengchun Liu
2023	J	`jnl`	Evapotranspiration of Winter Wheat in the Semi-Arid Southeastern Loess Plateau Based on Multi-Source Satellite Data. Remote. Sens. Peng He, Rutian Bi, Lishuai Xu, Zhengchun Liu, Fan Yang, Wenbiao Wang, Zhengnan Cui, Jingshu Wang
2023	B	`conf`	FreeTrain: A Framework to Utilize Unused Supercomputer Nodes for Training Neural Networks. CCGrid Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
2023	J	`jnl`	Moving small files in a networked environment. Future Gener. Comput. Syst. Chao Jin, David Abramson, Jake Carroll, Zhengchun Liu, Rajkumar Kettimuthu
2023	A	`conf`	RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. HPDC Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023	J	`jnl`	Rapid detection of rare events from in situ X-ray diffraction data using machine learning. CoRR Weijian Zheng, Jun-Sang Park, Peter Kenesei, Ahsan Ali, Zhengchun Liu, Ian T. Foster, Nicholas Schwarz, Rajkumar Kettimuthu, Antonino Miceli, Hemant Sharma
2023	B	`conf`	Tomo2Mesh: Fast Porosity Mapping and Visualization for Synchrotron Tomography. e-Science Aniket Tekawade, Viktor V. Nikitin, Yashas Satapathy, Zhengchun Liu, Xuan Zhang, Peter Kenesei, Weijian Zheng, Francesco De Carlo, Ian T. Foster, Rajkumar Kettimuthu
2022	—	`conf`	A Comprehensive Evaluation of Novel AI Accelerators for Deep Learning Workloads. PMBS@SC 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, Adrián Macías, Chetan Tekur, Matthew Boyd
2022	J	`jnl`	Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR 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
2022	—	`conf`	Evaluating SciStream (Federated Scientific Data Streaming Architecture) on FABRIC. INDIS@SC Chengyi Qu, Joaquin Chung, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu
2022	J	`jnl`	FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR Nikil Ravi, Pranshu Chaturvedi, Eliu A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster
2022	—	`conf`	Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
2022	J	`jnl`	Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR 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
2022	J	`jnl`	Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 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
2022	J	`jnl`	Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2022	J	`jnl`	Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri
2022	A	`conf`	SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC Joaquin Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2022	C	`conf`	What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu
2022	C	`conf`	fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu
2022	J	`jnl`	fairDMS: Rapid Model Training by Data and Model Reuse. CoRR Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu
2021	B	`conf`	3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster
2021	J	`jnl`	BFTrainer: Low-Cost Training of Neural Networks on Unfillable Supercomputer Nodes. CoRR Zhengchun Liu, Rajkumar Kettimuthu, Michael E. Papka, Ian T. Foster
2021	B	`conf`	Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster
2021	J	`jnl`	Bridge Data Center AI Systems with Edge Computing for Actionable Information Retrieval. CoRR 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
2021	—	`conf`	Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 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
2021	J	`jnl`	Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 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 Ramakrishnaiah, 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
2021	—	`conf`	Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2021	J	`jnl`	Design and Evaluation of a Simple Data Interface for Efficient Data Transfer across Diverse Storage. ACM Trans. Model. Perform. Evaluation Comput. Syst. Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster
2021	J	`jnl`	End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 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
2021	J	`jnl`	Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model. Sensors Zhengchun Liu, Zhanjun Xu, Rutian Bi, Chao Wang, Peng He, Yaodong Jing, Wude Yang
2021	J	`jnl`	Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi
2021	J	`jnl`	Joint ptycho-tomography with deep generative priors. Mach. Learn. Sci. Technol. Selin S. Aslan, Zhengchun Liu, Viktor V. Nikitin, Tekin Bicer, Sven Leyffer, Doga Gürsoy
2020	J	`jnl`	BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. CoRR Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster
2020	A	`conf`	Characterization and identification of HPC applications at leadership computing facility. ICS Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka
2020	—	`conf`	Deep Learning-based Low-dose Tomography Reconstruction with Hybrid-dose Measurements. MLHPC/AI4S@SC Ziling Wu, Tekin Bicer, Zhengchun Liu, Vincent De Andrade, Yunhui Zhu, Ian T. Foster
2020	J	`jnl`	Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster
2020	A	`conf`	Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari
2019	B	`conf`	Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster
2019	—	`conf`	Deep Learning Accelerated Light Source Experiments. DLS@SC Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2019	J	`jnl`	Deep Learning Accelerated Light Source Experiments. CoRR Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster
2019	B	`conf`	Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2019	—	`conf`	Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2019	—	`conf`	Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2019	Misc	`conf`	Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2019	—	`conf`	Scientific Image Restoration Anywhere. XLOOP@SC Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster
2019	J	`jnl`	Scientific Image Restoration Anywhere. CoRR Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster
2019	—	`conf`	Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao
2019	J	`jnl`	TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster
2019	—	`conf`	Toward an Elastic Data Transfer Infrastructure. eScience Joaquin Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2018	A	`conf`	A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu
2018	—	`conf`	Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster
2018	A	`conf`	Cross-geography scientific data transferring trends and behavior. HPDC Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao
2018	—	`conf`	Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2018	Misc	`conf`	Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster
2018	J	`jnl`	Toward a smart data transfer node. Future Gener. Comput. Syst. Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman
2018	—	`conf`	Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary
2018	J	`jnl`	Transferring a petabyte in a day. Future Gener. Comput. Syst. Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello
2017	—	`conf`	A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster
2017	J	`jnl`	A simulation and optimization based method for calibrating agent-based emergency department models under data scarcity. Comput. Ind. Eng. Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
2017	J	`jnl`	An agent-based model for quantitatively analyzing and predicting the complex behavior of emergency departments. J. Comput. Sci. Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
2017	A	`conf`	Explaining Wide Area Data Transfer Performance. HPDC Zhengchun Liu, Prasanna Balaprakash, Rajkumar Kettimuthu, Ian T. Foster
2017	Misc	`conf`	Support managing population aging stress of emergency departments in a computational way. ICCS Zhengchun Liu, Dolores Rexachs, Francisco Epelde, Emilio Luque
2016	—	`—`	Modeling and simulation for healthcare operations management using high performance computing and agent-based model. Zhengchun Liu
2015	Misc	`conf`	Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study. ICCS Xueping Zhu, Zhengchun Liu, Jun Yang
2015	Misc	`conf`	Quantitative Evaluation of Decision Effects in the Management of Emergency Department Problems. ICCS Zhengchun Liu, Eduardo Cabrera, Manel Taboada, Francisco Epelde, Dolores Rexachs, Emilio Luque
2015	Misc	`conf`	Simulating the micro-level behavior of emergency department for macro-level features prediction. WSC Zhengchun Liu, Dolores Rexachs, Emilio Luque, Francisco Epelde, Eduardo Cabrera
2013	—	`conf`	Research on Co-simulation Method in ADAMS and MATLAB for Missile Seeker's Stabilization Platform Design. AsiaSim Xueping Zhu, Zhengchun Liu, Jun Yang