Rui Liu

Orcid: 0000-0001-9061-787X

Affiliations:
  • University of Chicago, Department of Computer Science, IL, USA
  • National University of Singapore, Department of Computer Science, Singapore (2016 - 2017)
  • Chinese University of Hong Kong, Department of Information Engineering, Hong Kong (2016)
  • Hong Kong Polytechnic University, Department of Computing, Hong Kong (former)


According to our database1, Rui Liu authored at least 22 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics.
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.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

2021
Understanding and optimizing packed neural network training for hyper-parameter tuning.
Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, 2021

An efficient uncertain graph processing framework for heterogeneous architectures.
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.
IEEE Trans. Serv. Comput., 2019

Participant Incentive Mechanism Toward Quality-Oriented Sensing: Understanding and Application.
ACM Trans. Sens. Networks, 2019

Artificial Intelligence in Resource-Constrained and Shared Environments.
ACM SIGOPS Oper. Syst. Rev., 2019

2018
When Privacy Meets Usability: Unobtrusive Privacy Permission Recommendation System for Mobile Apps Based on Crowdsourcing.
IEEE Trans. Serv. Comput., 2018

Untangling Blockchain: A Data Processing View of Blockchain Systems.
IEEE Trans. Knowl. Data Eng., 2018

Accessing mobile user's privacy based on IME personalization: Understanding and practical attacks.
J. Comput. Secur., 2018

Privacy-based recommendation mechanism in mobile participatory sensing systems using crowdsourced users' preferences.
Future Gener. Comput. Syst., 2018

UIO-Based Testbed Augmentation for Simulating Cyber-Physical Systems.
IEEE Intell. Syst., 2018

Draining the Data Swamp: A Similarity-based Approach.
Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2018

2017
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU.
Proc. Priv. Enhancing Technol., 2017

BLOCKBENCH: A Framework for Analyzing Private Blockchains.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

2016
Distributed Intelligent MEMS: A Survey and a Real-Time Programming Framework.
ACM Comput. Surv., 2016

PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems.
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.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communication Workshops, 2016

2015
Reputation-Based Incentives for Data Dissemination in Mobile Participatory Sensing Networks.
Int. J. Distributed Sens. Networks, 2015

PriWe: Recommendation for Privacy Settings of Mobile Apps Based on Crowdsourced Users' Expectations.
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.
Sensors, 2014

Reputation-Based Participant Incentive Approach in Opportunistic Cognitive Networks.
Proceedings of the Advanced Computer Architecture - 10th Annual Conference, 2014


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