| Untangling blockchain: A data processing view of blockchain systems TTA Dinh, R Liu, M Zhang, G Chen, BC Ooi, J Wang IEEE transactions on knowledge and data engineering 30 (7), 1366-1385, 2018 | 1262 | 2018 |
| Blockbench: A framework for analyzing private blockchains TTA Dinh, J Wang, G Chen, R Liu, BC Ooi, KL Tan Proceedings of the 2017 ACM international conference on management of data …, 2017 | 1134 | 2017 |
| Draining the data swamp: A similarity-based approach W Brackenbury, R Liu, M Mondal, AJ Elmore, B Ur, K Chard, M Franklin Proceedings of the workshop on human-in-the-loop data analytics, 1-7, 2018 | 45 | 2018 |
| When privacy meets usability: Unobtrusive privacy permission recommendation system for mobile apps based on crowdsourcing R Liu, J Cao, K Zhang, W Gao, J Liang, L Yang IEEE Transactions on Services Computing 11 (5), 864-878, 2016 | 40 | 2016 |
| Vulnerable gpu memory management: towards recovering raw data from gpu Z Zhou, W Diao, X Liu, Z Li, K Zhang, R Liu Proceedings on Privacy Enhancing Technologies 2017 (2), 57–73, 2016 | 36 | 2016 |
| Improving data quality with an accumulated reputation model in participatory sensing systems R Yu, R Liu, X Wang, J Cao Sensors 14 (3), 5573-5594, 2014 | 31 | 2014 |
| Priwe: Recommendation for privacy settings of mobile apps based on crowdsourced users' expectations R Liu, J Cao, L Yang, K Zhang 2015 IEEE International Conference on Mobile Services, 150-157, 2015 | 27 | 2015 |
| Understanding mobile users’ privacy expectations: A recommendation-based method through crowdsourcing R Liu, J Liang, J Cao, K Zhang, W Gao, L Yang, R Yu IEEE Transactions on Services Computing 12 (2), 304-318, 2016 | 25 | 2016 |
| Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users’ preferences R Liu, J Liang, W Gao, R Yu Future Generation Computer Systems 80, 76-88, 2018 | 19 | 2018 |
| Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning R Liu, S Krishnan, AJ Elmore, M Franklin Proceedings of the Fifth Workshop on Data Management for End-To-End Machine …, 2021 | 16 | 2021 |
| Participant incentive mechanism toward quality-oriented sensing: understanding and application R Yu, J Cao, R Liu, W Gao, X Wang, J Liang ACM Transactions on Sensor Networks (TOSN) 15 (2), 1-25, 2019 | 16 | 2019 |
| Artificial intelligence in resource-constrained and shared environments S Krishnan, AJ Elmore, M Franklin, J Paparrizos, Z Shang, A Dziedzic, ... ACM SIGOPS Operating Systems Review 53 (1), 1-6, 2019 | 14 | 2019 |
| Distributed intelligent MEMS: A survey and a real-time programming framework J Liang, J Cao, R Liu, T Li ACM Computing Surveys (CSUR) 49 (1), 1-29, 2016 | 9 | 2016 |
| Embedding learning in hybrid quantum-classical neural networks M Liu, J Liu, R Liu, H Makhanov, D Lykov, A Apte, Y Alexeev 2022 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2022 | 8 | 2022 |
| An ensemble-level programming model with real-time support for multi-robot systems S Jiang, J Liang, J Cao, R Liu 2016 IEEE International Conference on Pervasive Computing and Communication …, 2016 | 8 | 2016 |
| PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems R Liu, J Cao, S VanSyckel, W Gao 2016 IEEE International Conference on Pervasive Computing and Communications …, 2016 | 8 | 2016 |
| Smartphone privacy in mobile computing: Issues, methods and systems R LIU, J Cao, L YANG Information and Media Technologies 10 (2), 281-293, 2015 | 6 | 2015 |
| Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native Y Lu, S Bian, L Chen, Y He, Y Hui, M Lentz, B Li, F Liu, J Li, Q Liu, R Liu, ... arXiv preprint arXiv:2401.12230, 2024 | 2 | 2024 |
| Accelerating container-based deep learning hyperparameter optimization workloads R Liu, D Wong, D Lange, P Larsson, V Jethava, Q Zheng Proceedings of the Sixth Workshop on Data Management for End-To-End Machine …, 2022 | 2 | 2022 |
| Bring Orders into Uncertainty: Enabling Efficient Uncertain Graph Processing via Novel Path Sampling on Multi-Accelerator Systems H Zhang, L Li, H Liu, D Zhuang, R Liu, C Huan, S Song, D Tao, Y Liu, ... Proceedings of the 36th ACM International Conference on Supercomputing, 2022 | 2 | 2022 |
Beng Chin OOINational University of Singapore在 comp.nus.edu.sg 的电子邮件经过验证
