Distributed services with elastic container memory abstractions for big data clouds - Juhyun Bae (Georgia Institute of Technology, Atlanta, GA, USA, 2023)

ReMember: Using Biosignals to Recall Memories of Companion Animals - Changyoon Yi; Juhyun Bae; Nakkyu Baek; Jina Jung; Sunwoong Hur; Hyun-Jean Lee; Seung Ah Lee (Proc. ACM Comput. Graph. Interact. Tech., 2021)

Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds - Juhyun Bae; Ling Liu; Ka Ho Chow; Yanzhao Wu; Gong Su; Arun Iyengar (2021 IEEE International Conference on Big Data (Big Data), Orlando, FL, USA, December 15-18, 2021, 2021)

RDMAbox: Optimizing RDMA for Memory Intensive Workload - Juhyun Bae; Ling Liu; Yanzhao Wu; Gong Su; Arun Iyengar (7th IEEE International Conference on Collaboration and Internet Computing, CIC 2021, Atlanta, GA, USA, December 13-15, 2021, 2021)

RDMAbox : Optimizing RDMA for Memory Intensive Workloads - Juhyun Bae; Gong Su; Arun Iyengar; Yanzhao Wu; Ling Liu (CoRR, 2021)

Promoting High Diversity Ensemble Learning with EnsembleBench - Yanzhao Wu; Ling Liu; Zhongwei Xie; Juhyun Bae; Ka Ho Chow; Wenqi Wei (2nd IEEE International Conference on Cognitive Machine Intelligence, CogMI 2020, Atlanta, GA, USA, October 28-31, 2020, 2020)

Memory Abstraction and Optimization for Distributed Executors - Semih Sahin; Ling Liu; Wenqi Cao; Qi Zhang; Juhyun Bae; Yanzhao Wu (6th IEEE International Conference on Collaboration and Internet Computing, CIC 2020, Atlanta, GA, USA, December 1-3, 2020, 2020)

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads - Juhyun Bae; Gong Su; Arun Iyengar; Yanzhao Wu; Ling Liu (MEMSYS 2020: The International Symposium on Memory Systems, Washington, DC, USA, September, 2020, 2020)

Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems - Ka Ho Chow; Ling Liu; Margaret Loper; Juhyun Bae; Mehmet Emre Gursoy; Stacey Truex; Wenqi Wei; Yanzhao Wu (Second IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications, TPS-ISA 2020, Atlanta, GA, USA, October 28-31, 2020, 2020)

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads - Juhyun Bae; Gong Su; Arun Iyengar; Yanzhao Wu; Ling Liu (CoRR, 2020)

Promoting High Diversity Ensemble Learning with EnsembleBench - Yanzhao Wu; Ling Liu; Zhongwei Xie; Juhyun Bae; Ka Ho Chow; Wenqi Wei (CoRR, 2020)

Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks - Yanzhao Wu; Ling Liu; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei; Lei Yu; Qi Zhang (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data - Vikram Krishnamurthy; Kusha Nezafati; Juhyun Bae; Mehmet Emre Gursoy; Mian Zhong; Vikrant Singh (2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019, 2019)

Memory Disaggregation: Research Problems and Opportunities - Ling Liu; Wenqi Cao; Semih Sahin; Qi Zhang; Juhyun Bae; Yanzhao Wu (39th IEEE International Conference on Distributed Computing Systems, ICDCS 2019, Dallas, TX, USA, July 7-10, 2019, 2019)

Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks - Yanzhao Wu; Ling Liu; Juhyun Bae; Ka Ho Chow; Arun Iyengar; Calton Pu; Wenqi Wei; Lei Yu; Qi Zhang (CoRR, 2019)