Selected publications in reverse-chronological order.
Full publication list on Google Scholar

  1. 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, and Sanjay Krishnan
    Conference on Innovative Data Systems Research (CIDR), 2024
  1. Optimizing Data Pipelines for Machine Learning in Feature Stores
    Rui Liu, Kwanghyun Park, Fotis Psallidas, Xiaoyong Zhu, Jinghui Mo, Rathijit Sen, Matteo Interlandi, Konstantinos Karanasos, Yuanyuan Tian, and Jesús Camacho-Rodríguez
    International Conference on Very Large Data Bases (VLDB), 2023 [Will be presenting in VLDB 2024]
  2. Rotary: A Resource Arbitration Framework for Progressive Iterative Analytics
    Rui Liu, Aaron J. Elmore, Michael J. Franklin, and Sanjay Krishnan
    IEEE International Conference on Data Engineering (ICDE), 2023
  1. Accelerating Container-based Deep Learning Hyperparameter Optimization Workloads
    Rui Liu, David Wong, Dave Lange, Patrik Larsson, Vinay Jethava, and Qing Zheng
    Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD), 2022
  1. Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning
    Rui Liu, Sanjay Krishnan, Aaron J. Elmore, and Michael J. Franklin
    Workshop on Data Management for End-to-End Machine Learning (DEEM@SIGMOD), 2021
  1. Artificial Intelligence in Resource-Constrained and Shared Environments
    Sanjay Krishnan, Aaron J. Elmore, Michael J. Franklin, John Paparrizos, Zechao Shang, Adam Dziedzic, and Rui Liu
    ACM SIGOPS Operating Systems Review (OSR), 2019
  1. Draining the Data Swamp: A Similarity-based Approach
    Will Brackenbury, Rui Liu, Mainack Mondal, Aaron J. Elmore, Blase Ur, Kyle Chard, and Michael J. Franklin
    Workshop on Human-In-the-Loop Data Analytics (HILDA@SIGMOD), 2018
  2. Untangling Blockchain: A Data Processing View of Blockchain Systems
    Tien Tuan Anh Dinh, Rui Liu, Meihui Zhang, Gang Chen, Beng Chin Ooi, and Ji Wang
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018
  3. UIO-Based Testbed Augmentation for Simulating Cyber-Physical Systems
    Rui Liu, Junbin Liang, Jiannong Cao, Weiping Zhu, Sebastian VanSyckel, and Christian Becker
    IEEE Intelligent Systems, 2018
  1. BLOCKBENCH: A Framework for Analyzing Private Blockchains
    Tien Tuan Anh Dinh, Ji Wang, Gang Chen, Rui Liu, Beng Chin Ooi, and Kian-Lee Tan
    ACM International Conference on Management of Data (SIGMOD), 2017
  1. PriMe: Human-centric privacy measurement based on user preferences towards data sharing in mobile participatory sensing systems
    Rui Liu, Jiannong Cao, Sebastian VanSyckel, and Wenyu Gao
    IEEE International Conference on Pervasive Computing and Communications (PerCom), 2016
  2. Distributed Intelligent MEMS: A Survey and a Real-Time Programming Framework
    Junbin Liang, Jiannong Cao, Rui Liu, and Tao Li
    ACM Computing Survey, 2016