Reputation-Based Participant Incentive Approach in Opportunistic Cognitive Networks. - Jie Li 008; Rui Liu 002; Ruiyun Yu; Xingwei Wang 001; Zhijie Zhao (ACA, 2014)

Improving Data Quality with an Accumulated Reputation Model in Participatory Sensing Systems. - Ruiyun Yu; Rui Liu 002; Xingwei Wang 001; Jiannong Cao 001 (Sensors, 2014)

PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations. - Rui Liu 002; Jiannong Cao 001; Lei Yang 024; Kehuan Zhang (IEEE MS, 2015)

Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks. - Jie Li 008; Xingwei Wang 001; Ruiyun Yu; Rui Liu 002 (Int. J. Distributed Sens. Networks, 2015)

Smartphone Privacy in Mobile Computing: Issues, Methods and Systems. - Rui Liu 002; Jiannong Cao 001; Lei Yang 024 (Inf. Media Technol., 2015)

An ensemble-level programming model with real-time support for multi-robot systems. - Shan Jiang 005; Junbin Liang; Jiannong Cao 001; Rui Liu 002 (PerCom Workshops, 2016)

PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems. - Rui Liu 002; Jiannong Cao 001; Sebastian VanSyckel; Wenyu Gao (PerCom, 2016)

Distributed Intelligent MEMS: A Survey and a Real-Time Programming Framework. - Junbin Liang; Jiannong Cao 001; Rui Liu 002; Tao Li (ACM Comput. Surv., 2016)

BLOCKBENCH: A Framework for Analyzing Private Blockchains. - Tien Tuan Anh Dinh; Ji Wang 006; Gang Chen 001; Rui Liu 002; Beng Chin Ooi; Kian-Lee Tan (SIGMOD Conference, 2017)

Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU. - Zhe Zhou 001; Wenrui Diao; Xiangyu Liu; Zhou Li 001; Kehuan Zhang; Rui Liu 002 (Proc. Priv. Enhancing Technol., 2017)

Draining the Data Swamp: A Similarity-based Approach. - Will Brackenbury; Rui Liu 002; Mainack Mondal; Aaron J. Elmore; Blase Ur; Kyle Chard; Michael J. Franklin (HILDA@SIGMOD, 2018)

UIO-Based Testbed Augmentation for Simulating Cyber-Physical Systems. - Rui Liu 002; Junbin Liang; Jiannong Cao 001; Weiping Zhu 004; Sebastian VanSyckel; Christian Becker 001 (IEEE Intell. Syst., 2018)

Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences. - Rui Liu 002; Junbin Liang; Wenyu Gao; Ruiyun Yu (Future Gener. Comput. Syst., 2018)

Accessing mobile user's privacy based on IME personalization: Understanding and practical attacks. - Wenrui Diao; Rui Liu 002; Xiangyu Liu; Zhe Zhou 001; Zhou Li 001; Kehuan Zhang (J. Comput. Secur., 2018)

Untangling Blockchain: A Data Processing View of Blockchain Systems. - Tien Tuan Anh Dinh; Rui Liu 002; Meihui Zhang 001; Gang Chen 001; Beng Chin Ooi; Ji Wang 006 (IEEE Trans. Knowl. Data Eng., 2018)

When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing. - Rui Liu 002; Jiannong Cao 001; Kehuan Zhang; Wenyu Gao; Junbin Liang; Lei Yang 024 (IEEE Trans. Serv. Comput., 2018)

Artificial Intelligence in Resource-Constrained and Shared Environments. - Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin; John Paparrizos; Zechao Shang; Adam Dziedzic; Rui Liu 002 (ACM SIGOPS Oper. Syst. Rev., 2019)

Participant Incentive Mechanism Toward Quality-Oriented Sensing: Understanding and Application. - Ruiyun Yu; Jiannong Cao 001; Rui Liu 002; Wenyu Gao; Xingwei Wang 001; Junbin Liang (ACM Trans. Sens. Networks, 2019)

Understanding Mobile Users' Privacy Expectations: A Recommendation-Based Method Through Crowdsourcing. - Rui Liu 002; Junbin Liang; Jiannong Cao 001; Kehuan Zhang; Wenyu Gao; Lei Yang 024; Ruiyun Yu (IEEE Trans. Serv. Comput., 2019)

An efficient uncertain graph processing framework for heterogeneous architectures. - Heng Zhang 005; Lingda Li; Donglin Zhuang; Rui Liu 002; Shuang Song; Dingwen Tao; Yanjun Wu; Shuaiwen Leon Song (PPoPP, 2021)

Understanding and optimizing packed neural network training for hyper-parameter tuning. - Rui Liu 002; Sanjay Krishnan; Aaron J. Elmore; Michael J. Franklin (DEEM@SIGMOD, 2021)

Accelerating container-based deep learning hyperparameter optimization workloads. - Rui Liu 002; David Wong; Dave Lange; Patrik Larsson; Vinay Jethava; Qing Zheng (DEEM@SIGMOD, 2022)

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. - Heng Zhang 005; Lingda Li; Hang Liu 001; Donglin Zhuang; Rui Liu 002; Chengying Huan; Shuang Song; Dingwen Tao; Yongchao Liu; Charles He; Yanjun Wu; Shuaiwen Leon Song (ICS, 2022)

Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics. - Rui Liu 002; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (ICDE, 2023)

Towards Resource-adaptive Query Execution in Cloud Native Databases. - Rui Liu 002; Jun Hyuk Chang; Riki Otaki; Zhe Heng Eng; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (CIDR, 2024)

Riveter: Adaptive Query Suspension and Resumption Framework for Cloud Native Databases. - Rui Liu 002; Aaron J. Elmore; Michael J. Franklin; Sanjay Krishnan (ICDE, 2024)