| Research on k-means clustering algorithm: An improved k-means clustering algorithm S Na, L Xumin, G Yong 2010 Third International Symposium on intelligent information technology and …, 2010 | 972 | 2010 |
| Transfer learning with neural networks for bearing fault diagnosis in changing working conditions R Zhang, H Tao, L Wu, Y Guan Ieee Access 5, 14347-14357, 2017 | 361 | 2017 |
| Review of the remaining useful life prognostics of vehicle lithium-ion batteries using data-driven methodologies L Wu, X Fu, Y Guan Applied Sciences 6 (6), 166, 2016 | 184 | 2016 |
| Kinship verification from facial images under uncontrolled conditions X Zhou, J Hu, J Lu, Y Shang, Y Guan Proceedings of the 19th ACM international conference on Multimedia, 953-956, 2011 | 170 | 2011 |
| Fault diagnosis from raw sensor data using deep neural networks considering temporal coherence R Zhang, Z Peng, L Wu, B Yao, Y Guan Sensors 17 (3), 549, 2017 | 125 | 2017 |
| The capacity estimation and cycle life prediction of lithium-ion batteries using a new broad extreme learning machine approach Y Ma, L Wu, Y Guan, Z Peng Journal of Power Sources 476, 228581, 2020 | 123 | 2020 |
| MNFTL: An efficient flash translation layer for MLC NAND flash memory storage systems Z Qin, Y Wang, D Liu, Z Shao, Y Guan Proceedings of the 48th Design Automation Conference, 17-22, 2011 | 116 | 2011 |
| RT-ROS: A real-time ROS architecture on multi-core processors H Wei, Z Shao, Z Huang, R Chen, Y Guan, J Tan, Z Shao Future Generation Computer Systems 56, 171-178, 2016 | 107 | 2016 |
| Bidirectional potential guided RRT* for motion planning W Xinyu, L Xiaojuan, G Yong, S Jiadong, W Rui IEEE access 7, 95046-95057, 2019 | 99 | 2019 |
| SensTrack: Energy-efficient location tracking with smartphone sensors L Zhang, J Liu, H Jiang, Y Guan IEEE sensors journal 13 (10), 3775-3784, 2013 | 99 | 2013 |
| Naive bayes bearing fault diagnosis based on enhanced independence of data N Zhang, L Wu, J Yang, Y Guan Sensors 18 (2), 463, 2018 | 92 | 2018 |
| Prognostics of battery cycle life in the early-cycle stage based on hybrid model Y Zhang, Z Peng, Y Guan, L Wu Energy 221, 119901, 2021 | 79 | 2021 |
| A novel online method for predicting the remaining useful life of lithium-ion batteries considering random variable discharge current D Shen, L Wu, G Kang, Y Guan, Z Peng Energy 218, 119490, 2021 | 79 | 2021 |
| Deep reinforcement learning with optimized reward functions for robotic trajectory planning J Xie, Z Shao, Y Li, Y Guan, J Tan IEEE Access 7, 105669-105679, 2019 | 77 | 2019 |
| On-demand block-level address mapping in large-scale NAND flash storage systems R Chen, Z Qin, Y Wang, D Liu, Z Shao, Y Guan IEEE Transactions on Computers 64 (6), 1729-1741, 2014 | 67 | 2014 |
| A dynamic neural network approach for efficient control of manipulators S Li, Z Shao, Y Guan IEEE Transactions on Systems, Man, and Cybernetics: Systems 49 (5), 932-941, 2017 | 66 | 2017 |
| A space reuse strategy for flash translation layers in SLC NAND flash memory storage systems D Liu, Y Wang, Z Qin, Z Shao, Y Guan IEEE Transactions on Very Large Scale Integration (VLSI) Systems 20 (6 …, 2011 | 57 | 2011 |
| 嵌入式数据库典型技术 SQLite 和 BerkeleyDB 的研究 万玛宁， 关永， 韩相军 微计算机信息, 91-93, 2006 | 57 | 2006 |
| RNFTL: A reuse-aware NAND flash translation layer for flash memory Y Wang, D Liu, M Wang, Z Qin, Z Shao, Y Guan ACM Sigplan Notices 45 (4), 163-172, 2010 | 55 | 2010 |
| 基于改进 Canny 算子的图像边缘检测算法 王小俊， 刘旭敏， 关永 计算机工程 38 (14), 196-198, 2012 | 51 | 2012 |
Zili ShaoDepartment of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
