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Books and Theses
- 2023
[b1]Juhyun Bae:
Distributed services with elastic container memory abstractions for big data clouds. Georgia Institute of Technology, Atlanta, GA, USA, 2023
Journal Articles
- 2021
- [j1]Changyoon Yi, Juhyun Bae, Nakkyu Baek, Jina Jung, Sunwoong Hur, Hyun-Jean Lee, Seung Ah Lee
:
ReMember: Using Biosignals to Recall Memories of Companion Animals. Proc. ACM Comput. Graph. Interact. Tech. 4(2): 29:1-29:7 (2021)
Conference and Workshop Papers
- 2021
- [c9]Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData 2021: 76-85 - [c8]Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC 2021: 1-10 - 2020
- [c7]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CogMI 2020: 208-217 - [c6]Semih Sahin, Ling Liu, Wenqi Cao, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Abstraction and Optimization for Distributed Executors. CIC 2020: 78-87 - [c5]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. MEMSYS 2020: 194-208 - [c4]Ka Ho Chow, Ling Liu, Margaret Loper, Juhyun Bae, Mehmet Emre Gursoy, Stacey Truex, Wenqi Wei, Yanzhao Wu:
Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems. TPS-ISA 2020: 263-272 - 2019
- [c3]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks. IEEE BigData 2019: 1971-1980 - [c2]Vikram Krishnamurthy, Kusha Nezafati, Juhyun Bae, Mehmet Emre Gursoy, Mian Zhong, Vikrant Singh:
Classification of Driving Behavior Events Utilizing Kinematic Classification and Machine Learning for Down Sampled Time Series Data. IEEE BigData 2019: 3789-3796 - [c1]Ling Liu, Wenqi Cao, Semih Sahin, Qi Zhang, Juhyun Bae, Yanzhao Wu:
Memory Disaggregation: Research Problems and Opportunities. ICDCS 2019: 1664-1673
Informal and Other Publications
- 2021
- [i4]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR abs/2104.12197 (2021) - 2020
- [i3]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads. CoRR abs/2008.00902 (2020) - [i2]Yanzhao Wu, Ling Liu, Zhongwei Xie, Juhyun Bae, Ka Ho Chow, Wenqi Wei:
Promoting High Diversity Ensemble Learning with EnsembleBench. CoRR abs/2010.10623 (2020) - 2019
- [i1]Yanzhao Wu, Ling Liu, Juhyun Bae, Ka Ho Chow, Arun Iyengar, Calton Pu, Wenqi Wei, Lei Yu, Qi Zhang:
Demystifying Learning Rate Polices for High Accuracy Training of Deep Neural Networks. CoRR abs/1908.06477 (2019)
Coauthor Index
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