| Learning multi-label scene classification MR Boutell, J Luo, X Shen, CM Brown Pattern recognition 37 (9), 1757-1771, 2004 | 2974 | 2004 |
| Locality phase prediction X Shen, Y Zhong, C Ding ACM SIGPLAN Notices 39 (11), 165-176, 2004 | 320 | 2004 |
| On-the-fly elimination of dynamic irregularities for GPU computing EZ Zhang, Y Jiang, Z Guo, K Tian, X Shen ACM SIGPLAN Notices 46 (3), 369-380, 2011 | 253 | 2011 |
| Tuning for software analytics: Is it really necessary? W Fu, T Menzies, X Shen Information and Software Technology 76, 135-146, 2016 | 241 | 2016 |
| Analysis and approximation of optimal co-scheduling on chip multiprocessors Y Jiang, X Shen, J Chen, R Tripathi Proceedings of the 17th international conference on Parallel architectures …, 2008 | 235 | 2008 |
| Software behavior oriented parallelization C Ding, X Shen, K Kelsey, C Tice, R Huang, C Zhang ACM SIGPlan Notices 42 (6), 223-234, 2007 | 228 | 2007 |
| Program locality analysis using reuse distance Y Zhong, X Shen, C Ding ACM Transactions on Programming Languages and Systems (TOPLAS) 31 (6), 1-39, 2009 | 198 | 2009 |
| Array regrouping and structure splitting using whole-program reference affinity Y Zhong, M Orlovich, X Shen, C Ding ACM SIGPLAN Notices 39 (6), 255-266, 2004 | 188 | 2004 |
| A cross-input adaptive framework for GPU program optimizations Y Liu, EZ Zhang, X Shen 2009 IEEE International Symposium on Parallel & Distributed Processing, 1-10, 2009 | 180 | 2009 |
| Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup Y Ding, Y Zhao, X Shen, M Musuvathi, T Mytkowicz International conference on machine learning, 579-587, 2015 | 179 | 2015 |
| Does cache sharing on modern CMP matter to the performance of contemporary multithreaded programs? EZ Zhang, Y Jiang, X Shen ACM Sigplan Notices 45 (5), 203-212, 2010 | 155 | 2010 |
| Streamlining GPU applications on the fly: thread divergence elimination through runtime thread-data remapping EZ Zhang, Y Jiang, Z Guo, X Shen Proceedings of the 24th ACM International Conference on Supercomputing, 115-126, 2010 | 147 | 2010 |
| Autotuning algorithmic choice for input sensitivity Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ... ACM SIGPLAN Notices 50 (6), 379-390, 2015 | 140 | 2015 |
| Complexity analysis and algorithm design for reorganizing data to minimize non-coalesced memory accesses on gpu B Wu, Z Zhao, EZ Zhang, Y Jiang, X Shen ACM SIGPLAN Notices 48 (8), 57-68, 2013 | 126 | 2013 |
| Multilabel machine learning and its application to semantic scene classification X Shen, M Boutell, J Luo, C Brown Storage and Retrieval Methods and Applications for Multimedia 2004 5307, 188-199, 2003 | 122 | 2003 |
| Bridging the gap between deep learning and sparse matrix format selection Y Zhao, J Li, C Liao, X Shen Proceedings of the 23rd ACM SIGPLAN symposium on principles and practice of …, 2018 | 121 | 2018 |
| Is reuse distance applicable to data locality analysis on chip multiprocessors? Y Jiang, EZ Zhang, K Tian, X Shen Compiler Construction: 19th International Conference, CC 2010, Held as Part …, 2010 | 121 | 2010 |
| Enabling and exploiting flexible task assignment on GPU through SM-centric program transformations B Wu, G Chen, D Li, X Shen, J Vetter Proceedings of the 29th ACM on International Conference on Supercomputing …, 2015 | 114 | 2015 |
| Effisha: A software framework for enabling effficient preemptive scheduling of gpu G Chen, Y Zhao, X Shen, H Zhou Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of …, 2017 | 108 | 2017 |
| Locality approximation using time X Shen, J Shaw, B Meeker, C Ding ACM SIGPLAN Notices 42 (1), 55-61, 2007 | 106 | 2007 |
