| AutoML: A survey of the state-of-the-art X He, K Zhao, X Chu Knowledge-based systems 212, 106622, 2021 | 1732 | 2021 |
| Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review G Du, K Wang, S Lian, K Zhao Artificial Intelligence Review 54 (3), 1677-1734, 2021 | 427 | 2021 |
| SOAP3: ultra-fast GPU-based parallel alignment tool for short reads CM Liu, T Wong, E Wu, R Luo, SM Yiu, Y Li, B Wang, C Yu, X Chu, K Zhao, ... Bioinformatics 28 (6), 878-879, 2012 | 321 | 2012 |
| GPU High Performance Computing: CUDA S Zhang, YL Chu, KY Zhao, Y Zhang Bei Jing: China Water Conservancy and Hydroelectric Publishing House, 2009 | 263* | 2009 |
| Speeding up k-means algorithm by gpus Y Li, K Zhao, X Chu, J Liu Journal of Computer and System Sciences 79 (2), 216-229, 2013 | 197 | 2013 |
| A distributed synchronous SGD algorithm with global top-k sparsification for low bandwidth networks S Shi, Q Wang, K Zhao, Z Tang, Y Wang, X Huang, X Chu 2019 IEEE 39th International Conference on Distributed Computing Systems …, 2019 | 160 | 2019 |
| Implementation and analysis of AES encryption on GPU Q Li, C Zhong, K Zhao, X Mei, X Chu 2012 IEEE 14th international conference on high performance computing and …, 2012 | 143 | 2012 |
| A measurement study of GPU DVFS on energy conservation X Mei, LS Yung, K Zhao, X Chu Proceedings of the Workshop on Power-Aware Computing and Systems, 1-5, 2013 | 106 | 2013 |
| G-BLASTN: accelerating nucleotide alignment by graphics processors K Zhao, X Chu Bioinformatics 30 (10), 1384-1391, 2014 | 91 | 2014 |
| Sensor fusion using inertial and image sensors K Zhao, S Shen, Y Lin, T Liu, Y Ling, Z Yang US Patent 10,565,732, 2020 | 88 | 2020 |
| Fadnet: A fast and accurate network for disparity estimation Q Wang, S Shi, S Zheng, K Zhao, X Chu 2020 IEEE international conference on robotics and automation (ICRA), 101-107, 2020 | 85 | 2020 |
| A convergence analysis of distributed SGD with communication-efficient gradient sparsification. S Shi, K Zhao, Q Wang, Z Tang, X Chu IJCAI, 3411-3417, 2019 | 84 | 2019 |
| Benchmarking the memory hierarchy of modern GPUs X Mei, K Zhao, C Liu, X Chu Network and Parallel Computing: 11th IFIP WG 10.3 International Conference …, 2014 | 75 | 2014 |
| Benchmarking the performance and energy efficiency of AI accelerators for AI training Y Wang, Q Wang, S Shi, X He, Z Tang, K Zhao, X Chu 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020 | 65 | 2020 |
| Irs: A large naturalistic indoor robotics stereo dataset to train deep models for disparity and surface normal estimation Q Wang, S Zheng, Q Yan, F Deng, K Zhao, X Chu 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 51 | 2021 |
| Massively parallel network coding on GPUs X Chu, K Zhao, M Wang 2008 IEEE International Performance, Computing and Communications Conference …, 2008 | 43 | 2008 |
| Reputation and trust management in heterogeneous peer-to-peer networks X Chu, X Chen, K Zhao, J Liu Telecommunication Systems 44, 191-203, 2010 | 38 | 2010 |
| Practical random linear network coding on GPUs X Chu, K Zhao, M Wang NETWORKING 2009: 8th International IFIP-TC 6 Networking Conference, Aachen …, 2009 | 38 | 2009 |
| GPUMP: A multiple-precision integer library for GPUs K Zhao, X Chu 2010 10th IEEE International Conference on Computer and Information …, 2010 | 32 | 2010 |
| Layer-Wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees. S Shi, Z Tang, Q Wang, K Zhao, X Chu ECAI, 1467-1474, 2020 | 28 | 2020 |
Xiaowen ChuProfessor, Data Science and Analytics, HKUST(GZ)Verified email at ust.hk
