Rui Liu

30 papers A* 3A 2B 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2024 A* conf
Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases.
ICDE
Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2024 A conf
Towards Resource-adaptive Query Execution in Cloud Native Databases.
CIDR
Rui Liu, Jun Hyuk Chang, Riki Otaki, Zhe Heng Eng, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2023 A* conf
Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics.
ICDE
Rui Liu, Aaron J. Elmore, Michael J. Franklin, Sanjay Krishnan
2022 — conf
Accelerating container-based deep learning hyperparameter optimization workloads.
DEEM@SIGMOD
Rui Liu, David Wong, Dave Lange, Patrik Larsson, Vinay Jethava, Qing Zheng
2022 A conf
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
ICS
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
2021 B conf
An efficient uncertain graph processing framework for heterogeneous architectures.
PPoPP
Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song
2021 — conf
Understanding and optimizing packed neural network training for hyper-parameter tuning.
DEEM@SIGMOD
Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2020 J jnl
Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning.
CoRR
Rui Liu, Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin
2019 J jnl
Artificial Intelligence in Resource-Constrained and Shared Environments.
ACM SIGOPS Oper. Syst. Rev.
Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, Rui Liu
2019 J jnl
Participant Incentive Mechanism Toward Quality-Oriented Sensing: Understanding and Application.
ACM Trans. Sens. Networks
Ruiyun Yu, Jiannong Cao, Rui Liu, Wenyu Gao, Xingwei Wang, Junbin Liang
2019 J jnl
Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing.
IEEE Trans. Serv. Comput.
Rui Liu, Junbin Liang, Jiannong Cao, Kehuan Zhang, Wenyu Gao, Lei Yang, Ruiyun Yu
2018 J jnl
Accessing mobile user's privacy based on IME personalization: Understanding and practical attacks.
J. Comput. Secur.
Wenrui Diao, Rui Liu, Xiangyu Liu, Zhe Zhou, Zhou Li, Kehuan Zhang
2018 — conf
Draining the Data Swamp: A Similarity-based Approach.
HILDA@SIGMOD
Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, Michael J. Franklin
2018 J jnl
Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences.
Future Gener. Comput. Syst.
Rui Liu, Junbin Liang, Wenyu Gao, Ruiyun Yu
2018 J jnl
UIO-Based Testbed Augmentation for Simulating Cyber-Physical Systems.
IEEE Intell. Syst.
Rui Liu, Junbin Liang, Jiannong Cao, Weiping Zhu, Sebastian VanSyckel, Christian Becker
2018 J jnl
Untangling Blockchain: A Data Processing View of Blockchain Systems.
IEEE Trans. Knowl. Data Eng.
Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang
2018 J jnl
When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing.
IEEE Trans. Serv. Comput.
Rui Liu, Jiannong Cao, Kehuan Zhang, Wenyu Gao, Junbin Liang, Lei Yang
2017 — conf
BLOCKBENCH: A Framework for Analyzing Private Blockchains.
SIGMOD Conference
Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan
2017 J jnl
BLOCKBENCH: A Framework for Analyzing Private Blockchains.
CoRR
Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, Kian-Lee Tan
2017 J jnl
Untangling Blockchain: A Data Processing View of Blockchain Systems.
CoRR
Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, Ji Wang
2017 J jnl
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU.
Proc. Priv. Enhancing Technol.
Zhe Zhou, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, Rui Liu
2016 — conf
An ensemble-level programming model with real-time support for multi-robot systems.
PerCom Workshops
Shan Jiang, Junbin Liang, Jiannong Cao, Rui Liu
2016 J jnl
Distributed Intelligent MEMS: A Survey and a Real-Time Programming Framework.
ACM Comput. Surv.
Junbin Liang, Jiannong Cao, Rui Liu, Tao Li
2016 A* conf
PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems.
PerCom
Rui Liu, Jiannong Cao, Sebastian VanSyckel, Wenyu Gao
2016 J jnl
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU.
CoRR
Zhe Zhou, Wenrui Diao, Xiangyu Liu, Zhou Li, Kehuan Zhang, Rui Liu
2015 — conf
PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations.
IEEE MS
Rui Liu, Jiannong Cao, Lei Yang, Kehuan Zhang
2015 J jnl
Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks.
Int. J. Distributed Sens. Networks
Jie Li, Xingwei Wang, Ruiyun Yu, Rui Liu
2015 J jnl
Smartphone Privacy in Mobile Computing: Issues, Methods and Systems.
Inf. Media Technol.
Rui Liu, Jiannong Cao, Lei Yang
2014 J jnl
Improving Data Quality with an Accumulated Reputation Model in Participatory Sensing Systems.
Sensors
Ruiyun Yu, Rui Liu, Xingwei Wang, Jiannong Cao
2014 — conf
Reputation-Based Participant Incentive Approach in Opportunistic Cognitive Networks.
ACA
Jie Li, Rui Liu, Ruiyun Yu, Xingwei Wang, Zhijie Zhao