| Towards a holistic approach to auto-parallelization: integrating profile-driven parallelism detection and machine-learning based mapping G Tournavitis, Z Wang, B Franke, MFP O'Boyle ACM PLDI 2009 44 (6), 177-187, 2009 | 302 | 2009 |
| Mapping parallelism to multi-cores: a machine learning based approach Z Wang, MFP O'Boyle ACM PPoPP 2009 44 (4), 75-84, 2009 | 263 | 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 | 166 | 2013 |
| Machine Learning in Compiler Optimisation Z Wang, M O'Boyle Proceedings of the IEEE, 2018 | 158 | 2018 |
| 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 | 158 | 2017 |
| 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 | 152 | 2014 |
| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao IJCAI 2019, 2019 | 127 | 2019 |
| 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 | 120 | 2010 |
| CrossSense: towards cross-site and large-scale WiFi sensing J Zhang, Z Tang, M Li, D Fang, PT Nurmi, Z Wang 24th ACM International Conference on Mobile Computing and Networking (MobiCom), 2018 | 106 | 2018 |
| 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 | 100 | 2017 |
| Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach G Ye, Z Tang, D Fang, Z Zhu, Y Feng, P Xu, X Chen, Z Wang 25th ACM Conference on Computer and Communications Security (CCS), 2018 | 96 | 2018 |
| Adaptive Deep Learning Model Selection on Embedded Systems B Taylor, V Sanz Marco, W Wolff, Y Elkhatib, Z Wang The 19th Annual ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and …, 2018 | 94 | 2018 |
| Synthesizing benchmarks for predictive modeling C Cummins, P Petoumenos, Z Wang, H Leather 2017 IEEE/ACM International Symposium on Code Generation and Optimization …, 2017 | 85 | 2017 |
| 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 | 77 | 2014 |
| 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 | 76 | 2017 |
| A convolution BiLSTM neural network model for Chinese event extraction Y Zeng, H Yang, Y Feng, Z Wang, D Zhao Natural Language Understanding and Intelligent Applications, 275-287, 2016 | 76 | 2016 |
| OpenCL task partitioning in the presence of GPU contention D Grewe, Z Wang, MFP O’Boyle LCPC, 87-101, 2013 | 75 | 2013 |
| 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 | 67 | 2013 |
| 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 | 66 | 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 | 63 | 2017 |
Zhanyong TangNorthwest University, Xi'an, ChinaVerified email at nwu.edu.cn
