Juhyun Bae

According to our database, Juhyun Bae authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Distributed services with elastic container memory abstractions for big data clouds.

Juhyun Bae

PhD thesis, 2023

2021

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

RDMAbox : Optimizing RDMA for Memory Intensive Workloads.

Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu

CoRR, 2021

RDMAbox: Optimizing RDMA for Memory Intensive Workload.

Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar

Proceedings of the 7th IEEE International Conference on Collaboration and Internet Computing, 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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Proceedings of the Second IEEE International Conference on Trust, 2020

Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads.

Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu

Proceedings of the MEMSYS 2020: The International Symposium on Memory Systems, 2020

Memory Abstraction and Optimization for Distributed Executors.

Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 6th IEEE International Conference on Collaboration and Internet Computing, 2020

Promoting High Diversity Ensemble Learning with EnsembleBench.

Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

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

Memory Disaggregation: Research Problems and Opportunities.

Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 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

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019