| Significantly improving lossy compression for scientific data sets based on multidimensional prediction and error-controlled quantization D Tao, S Di, Z Chen, F Cappello 2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017 | 313 | 2017 |
| Error-controlled lossy compression optimized for high compression ratios of scientific datasets X Liang, S Di, D Tao, S Li, S Li, H Guo, Z Chen, F Cappello 2018 IEEE International Conference on Big Data (Big Data), 438-447, 2018 | 271 | 2018 |
| Condition numbers of Gaussian random matrices Z Chen, JJ Dongarra SIAM Journal on Matrix Analysis and Applications 27 (3), 603-620, 2005 | 269 | 2005 |
| Online-ABFT: An online algorithm based fault tolerance scheme for soft error detection in iterative methods Z Chen ACM SIGPLAN Notices 48 (8), 167-176, 2013 | 221 | 2013 |
| Algorithm-based fault tolerance for fail-stop failures Z Chen, J Dongarra IEEE Transactions on Parallel and Distributed Systems 19 (12), 1628-1641, 2008 | 178 | 2008 |
| GBNRS: A novel rough set algorithm for fast adaptive attribute reduction in classification S Xia, H Zhang, W Li, G Wang, E Giem, Z Chen IEEE Transactions on Knowledge and Data Engineering 34 (3), 1231-1242, 2020 | 170 | 2020 |
| High performance linpack benchmark: a fault tolerant implementation without checkpointing T Davies, C Karlsson, H Liu, C Ding, Z Chen Proceedings of the international conference on Supercomputing, 162-171, 2011 | 150 | 2011 |
| RSMOTE: A self-adaptive robust SMOTE for imbalanced problems with label noise B Chen, S Xia, Z Chen, B Wang, G Wang Information Sciences 553, 397-428, 2021 | 146 | 2021 |
| Fault tolerant high performance computing by a coding approach Z Chen, GE Fagg, E Gabriel, J Langou, T Angskun, G Bosilca, J Dongarra Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of …, 2005 | 143 | 2005 |
| Algorithm-based recovery for iterative methods without checkpointing Z Chen Proceedings of the 20th international symposium on High performance …, 2011 | 141 | 2011 |
| FT-CNN: Algorithm-based fault tolerance for convolutional neural networks K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen, K Ouyang, F Cappello, ... IEEE Transactions on Parallel and Distributed Systems 32 (7), 1677-1689, 2020 | 136 | 2020 |
| Optimizing error-bounded lossy compression for scientific data by dynamic spline interpolation K Zhao, S Di, M Dmitriev, TLD Tonellot, Z Chen, F Cappello 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1643-1654, 2021 | 133 | 2021 |
| A fast adaptive k-means with no bounds S Xia, D Peng, D Meng, C Zhang, G Wang, E Giem, W Wei, Z Chen IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 126 | 2020 |
| Algorithm-based checkpoint-free fault tolerance for parallel matrix computations on volatile resources Z Chen, J Dongarra Proceedings 20th IEEE International Parallel & Distributed Processing …, 2006 | 118 | 2006 |
| SZ3: A modular framework for composing prediction-based error-bounded lossy compressors X Liang, K Zhao, S Di, S Li, R Underwood, AM Gok, J Tian, J Deng, ... IEEE Transactions on Big Data 9 (2), 485-498, 2022 | 104 | 2022 |
| Extending the MPI specification for process fault tolerance on high performance computing systems GE Fagg, E Gabriel, G Bosilca, T Angskun, Z Chen, J Pjesivac-Grbovic, ... Proceedings of the International Supercomputer Conference (ICS) 12, 2004 | 101 | 2004 |
| SDRBench: Scientific data reduction benchmark for lossy compressors K Zhao, S Di, X Lian, S Li, D Tao, J Bessac, Z Chen, F Cappello 2020 IEEE international conference on big data (big data), 2716-2724, 2020 | 92 | 2020 |
| Self-adapting software for numerical linear algebra and LAPACK for clusters Z Chen, J Dongarra, P Luszczek, K Roche Parallel Computing 29 (11-12), 1723-1743, 2003 | 91 | 2003 |
| An efficient transformation scheme for lossy data compression with point-wise relative error bound X Liang, S Di, D Tao, Z Chen, F Cappello 2018 IEEE International Conference on Cluster Computing (CLUSTER), 179-189, 2018 | 90 | 2018 |
| Ball -Means: Fast Adaptive Clustering With No Bounds S Xia, D Peng, D Meng, C Zhang, G Wang, E Giem, W Wei, Z Chen IEEE transactions on pattern analysis and machine intelligence 44 (1), 87-99, 2020 | 89 | 2020 |
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov
