| Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping Z Wang, G Tournavitis, B Franke, MFP O'Boyle ACM PLDI 2009 44 (6), 177-187, 2009 | 275* | 2009 |
| Mapping parallelism to multi-cores: a machine learning based approach Z Wang, MFP O'Boyle ACM PPoPP 2009 44 (4), 75-84, 2009 | 224 | 2009 |
| Portable Mapping of Data Parallel Programs to OpenCL for Heterogeneous Systems D Grewe, Z Wang, MFP O’Boyle ACM/IEEE Code Generation and Optimization (CGO) 2013, 2013 | 126 | 2013 |
| Partitioning streaming parallelism for multi-cores: a machine learning based approach Z Wang, MFP O'Boyle ACM/IEEE Proceedings of the 19th international conference on Parallel …, 2010 | 102 | 2010 |
| Smart multi-task scheduling for OpenCL programs on CPU/GPU heterogeneous platforms Y Wen, Z Wang, MFP O'boyle 2014 21st International Conference on High Performance Computing (HiPC), 1-10, 2014 | 101 | 2014 |
| End-to-end Deep Learning of Optimization Heuristics C Cummins, P Petoumenos, Z Wang, H Leather ACM/IEEE The 26th International Conference on Parallel Architectures and …, 2017 | 75 | 2017 |
| OpenCL task partitioning in the presence of GPU contention D Grewe, Z Wang, MFP O’Boyle LCPC, 87-101, 2013 | 64 | 2013 |
| Cracking Android pattern lock in five attempts G Ye, Z Tang, D Fang, X Chen, KI Kim, B Taylor, Z Wang The Network and Distributed System Security Symposium (NDSS), 2017 | 63 | 2017 |
| Machine Learning in Compiler Optimisation Z Wang, M O'Boyle Proceedings of the IEEE, 2018 | 62 | 2018 |
| Smart, Adaptive Mapping of Parallelism in the Presence of External Workload MK Emani, Z Wang, MFP O'Boyle ACM/IEEE Code Generation and Optimization (CGO), 2013 | 62 | 2013 |
| 黄土丘陵沟壑区地形定量因子的关联性分析 张婷， 汤国安， 王春， 龙毅， 吴良超， 王峥 地理科学 25 (004), 467-472, 2005 | 62* | 2005 |
| Integrating profile-driven parallelism detection and machine-learning-based mapping Z Wang, G Tournavitis, B Franke, MFP O'boyle ACM Transactions on Architecture and Code Optimization (TACO) 11 (1), 1-26, 2014 | 58 | 2014 |
| A workload-aware mapping approach for data-parallel programs D Grewe, Z Wang, MFP O'Boyle HiPEAC, 117-126, 2011 | 50 | 2011 |
| Automatic and Portable Mapping of Data Parallel Programs to OpenCL for GPU-Based Heterogeneous Systems Z Wang, D Grewe, MFP O’boyle ACM Transactions on Architecture and Code Optimization (TACO) 11 (4), 42, 2015 | 47 | 2015 |
| Adaptive optimization for OpenCL programs on embedded heterogeneous systems B Taylor, V Sanz Marco, Z Wang LCTES: Proceedings of the 18th ACM SIGPLAN/SIGBED Conference on Languages …, 2017 | 46 | 2017 |
| Synthesizing benchmarks for predictive modeling C Cummins, P Petoumenos, Z Wang, H Leather 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 42 | 2017 |
| Learning with noise: enhance distantly supervised relation extraction with dynamic transition matrix B Luo, Y Feng, Z Wang, Z Zhu, S Huang, R Yan, D Zhao ACL 2017: The 55th Annual Meeting of the Association for Computational …, 2017 | 41 | 2017 |
| Optimise web browsing on heterogeneous mobile platforms: a machine learning based approach J Ren, L Gao, H Wang, Z Wang INFOCOM 2017-IEEE Conference on Computer Communications, IEEE, 1-9, 2017 | 39 | 2017 |
| Minimizing the cost of iterative compilation with active learning WF Ogilvie, P Petoumenos, Z Wang, H Leather ACM/IEEE Proceedings of the 2017 International Symposium on Code Generation …, 2017 | 39 | 2017 |
| Using machine learning to partition streaming programs Z Wang, MFP O'boyle ACM Transactions on Architecture and Code Optimization (TACO) 10 (3), 1-25, 2013 | 37 | 2013 |
Xiaojiang ChenNorthwest University, Xi'an, ChinaVerified email at nwu.edu.cn
