Rui Liu

According to our database, Rui Liu authored at least 26 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases.

Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Resource-adaptive Query Execution in Cloud Native Databases.

Rui Liu, Jun Hyuk Chang, Riki Otaki, Zhe Heng Eng, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 14th Conference on Innovative Data Systems Research, 2024

2023

Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics.

Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

2022

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.

Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

Accelerating container-based deep learning hyperparameter optimization workloads.

Rui Liu, David Wong, Dave Lange, Patrik Larsson, Vinay Jethava, Qing Zheng

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

2021

Understanding and optimizing packed neural network training for hyper-parameter tuning.

Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin

Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

An efficient uncertain graph processing framework for heterogeneous architectures.

Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

2019

Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing.

Rui Liu, Junbin Liang, Jiannong Cao, Kehuan Zhang, Wenyu Gao, Lei Yang, Ruiyun Yu

IEEE Trans. Serv. Comput., 2019

Participant Incentive Mechanism Toward Quality-Oriented Sensing: Understanding and Application.

Ruiyun Yu, Jiannong Cao, Rui Liu, Wenyu Gao, Xingwei Wang, Junbin Liang

ACM Trans. Sens. Networks, 2019

Artificial Intelligence in Resource-Constrained and Shared Environments.

Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu

ACM SIGOPS Oper. Syst. Rev., 2019

2018

When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing.

Rui Liu, Jiannong Cao, Kehuan Zhang, Wenyu Gao, Junbin Liang, Lei Yang

IEEE Trans. Serv. Comput., 2018

Untangling Blockchain: A Data Processing View of Blockchain Systems.

Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang

IEEE Trans. Knowl. Data Eng., 2018

Accessing mobile user's privacy based on IME personalization: Understanding and practical attacks.

Wenrui Diao, Rui Liu, Xiangyu Liu, Zhe Zhou, Zhou Li, Kehuan Zhang

J. Comput. Secur., 2018

Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences.

Rui Liu, Junbin Liang, Wenyu Gao, Ruiyun Yu

Future Gener. Comput. Syst., 2018

UIO-Based Testbed Augmentation for Simulating Cyber-Physical Systems.

Rui Liu, Junbin Liang, Jiannong Cao, Weiping Zhu, Sebastian VanSyckel, Christian Becker

IEEE Intell. Syst., 2018

Draining the Data Swamp: A Similarity-based Approach.

Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

2017

Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU.

Zhe Zhou, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, Rui Liu

Proc. Priv. Enhancing Technol., 2017

BLOCKBENCH: A Framework for Analyzing Private Blockchains.

Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016

Distributed Intelligent MEMS: A Survey and a Real-Time Programming Framework.

Junbin Liang, Jiannong Cao, Rui Liu, Tao Li

ACM Comput. Surv., 2016

PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems.

Rui Liu, Jiannong Cao, Sebastian VanSyckel, Wenyu Gao

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

An ensemble-level programming model with real-time support for multi-robot systems.

Shan Jiang, Junbin Liang, Jiannong Cao, Rui Liu

Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2015

Smartphone Privacy in Mobile Computing: Issues, Methods and Systems.

Rui Liu, Jiannong Cao, Lei Yang

Inf. Media Technol., 2015

Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks.

Jie Li, Xingwei Wang, Ruiyun Yu, Rui Liu

Int. J. Distributed Sens. Networks, 2015

PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations.

Rui Liu, Jiannong Cao, Lei Yang, Kehuan Zhang

Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

2014

Improving Data Quality with an Accumulated Reputation Model in Participatory Sensing Systems.

Ruiyun Yu, Rui Liu, Xingwei Wang, Jiannong Cao

Sensors, 2014

Reputation-Based Participant Incentive Approach in Opportunistic Cognitive Networks.

Jie Li, Rui Liu, Ruiyun Yu, Xingwei Wang, Zhijie Zhao

Proceedings of the Advanced Computer Architecture - 10th Annual Conference, 2014