Byung-Gon Chun

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 52

Top Topics

Learning Frameworks

Top Venues

Publications

Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun
Blaze: Holistic Caching for Iterative Data Processing. EuroSys (2024)
Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee
Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys (2024)
Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee
Poster: Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys (2024)
Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun
FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. EuroSys (2023)
Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, Byung-Gon Chun
Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. USENIX Annual Technical Conference (2023)
Hyeonmin Ha, Jihye Lee, Wookje Han, Byung-Gon Chun
Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. EMNLP (Findings) (2023)
Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. ICML (2023)
Hyeonmin Ha, Soyoung Jung, Jinsol Park, Minjoon Seo, Seung-won Hwang, Byung-Gon Chun
Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. ACL (Findings) (2023)
Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. ICLR (2022)
Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun
Band: coordinated multi-DNN inference on heterogeneous mobile processors. MobiSys (2022)
Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun
Hippo: Sharing Computations in Hyper-Parameter Optimization. Proc. VLDB Endow. 15 (5) (2022)
Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun
Orca: A Distributed Serving System for Transformer-Based Generative Models. OSDI (2022)
Won Wook Song, Myeongjae Jeon, Byung-Gon Chun
SWAN: WAN-aware stream processing on geographically-distributed clusters. APSys (2022)
Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. CoRR (2022)
Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong
OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications. APNet (2022)
Woo-Yeon Lee, Yunseong Lee, Won Wook Song, Youngseok Yang, Jooyeon Kim, Byung-Gon Chun
Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. ICDCS (2021)
Taegeon Um, Gyewon Lee, Byung-Gon Chun
Pluto: High-Performance IoT-Aware Stream Processing. ICDCS (2021)
Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-won Hwang
SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. CIKM (2021)
Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyung-Geun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. USENIX Annual Technical Conference (2021)
Youngseok Yang, Taesoo Kim, Byung-Gon Chun
Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. OSDI (2021)
Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele. Proc. VLDB Endow. 15 (1) (2021)
Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun
Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. NeurIPS (2021)
Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun
Accelerating Multi-Model Inference by Merging DNNs of Different Weights. CoRR (2020)
Ahnjae Shin, Do Yoon Kim, Joo Seong Jeong, Byung-Gon Chun
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. CoRR (2020)
Won Wook Song, Youngseok Yang, Jeongyoon Eo, Jangho Seo, Joo Yeon Kim, Sanha Lee, Gyewon Lee, Taegeon Um, Haeyoon Cho, Byung-Gon Chun
Apache Nemo: A Framework for Optimizing Distributed Data Processing. ACM Trans. Comput. Syst. 38 (3-4) (2020)
Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. CoRR (2020)
Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. NeurIPS (2020)
Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim
Automating System Configuration of Distributed Machine Learning. ICDCS (2019)
Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys (2019)
Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Jooyeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun
Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. USENIX Annual Technical Conference (2019)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. NSDI (2019)
Ahnjae Shin, Dongjin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun
Stage-based Hyper-parameter Optimization for Deep Learning. CoRR (2019)
Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. CoRR (2019)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun
Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. ACM SIGOPS Oper. Syst. Rev. 53 (1) (2019)
Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer, Matteo Interlandi
From the Edge to the Cloud: Model Serving in ML.NET. IEEE Data Eng. Bull. 41 (4) (2018)
Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun
Parallax: Automatic Data-Parallel Training of Deep Neural Networks. CoRR (2018)
Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. OSDI (2018)
Gyewon Lee, Jeongyoon Eo, Jangho Seo, Taegeon Um, Byung-Gon Chun
High-Performance Stateful Stream Processing on Solid-State Drives. APSys (2018)
Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
Improving the expressiveness of deep learning frameworks with recursion. EuroSys (2018)
Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi
PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. CoRR (2018)
Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun
JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. CoRR (2018)
Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun
Improving the Expressiveness of Deep Learning Frameworks with Recursion. CoRR (2018)
Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun
Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. AsiaCCS (2017)
Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, Byung-Gon Chun
Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters. EuroSys (2017)
Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang
Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 35 (2) (2017)
Taegeon Um, Gyewon Lee, Sanha Lee, Kyungtae Kim, Byung-Gon Chun
Scaling Up IoT Stream Processing. APSys (2017)
Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha
Collaborative analytics for data silos. ICDE (2016)
Daejin Choi, Jinyoung Han, Taejoong Chung, Yong-Yeol Ahn, Byung-Gon Chun, Ted Taekyoung Kwon
Characterizing Conversation Patterns in Reddit: From the Perspectives of Content Properties and User Participation Behaviors. COSN (2015)
Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun
Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. HotOS (2015)
Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek
Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. IEEE Trans. Mob. Comput. 14 (10) (2015)
Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy, Scott Shenker, Byung-Gon Chun
Making Sense of Performance in Data Analytics Frameworks. NSDI (2015)
Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang
REEF: Retainable Evaluator Execution Framework. SIGMOD Conference (2015)
William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol N. Sheth
TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. ACM Trans. Comput. Syst. 32 (2) (2014)
Jinyoung Han, Daejin Choi, Byung-Gon Chun, Ted Taekyoung Kwon, Hyunchul Kim, Yanghee Choi
Collecting, organizing, and sharing pins in pinterest: interest-driven or social-driven? SIGMETRICS (2014)
William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol Sheth
TaintDroid: an information flow tracking system for real-time privacy monitoring on smartphones. Commun. ACM 57 (3) (2014)
Wook Song, Nosub Sung, Byung-Gon Chun, Jihong Kim
Reducing energy consumption of smartphones using user-perceived response time analysis. HotMobile (2014)
Byung-Gon Chun, Tyson Condie, Carlo Curino, Raghu Ramakrishnan, Russell Sears, Markus Weimer
REEF: Retainable Evaluator Execution Framework. Proc. VLDB Endow. 6 (12) (2013)
Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek
Mantis: Automatic Performance Prediction for Smartphone Applications. USENIX Annual Technical Conference (2013)
Sangjin Han, Scott Marshall, Byung-Gon Chun, Sylvia Ratnasamy
MegaPipe: A New Programming Interface for Scalable Network I/O. OSDI (2012)
Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan
Mobius: unified messaging and data serving for mobile apps. MobiSys (2012)
Jayanthkumar Kannan, Byung-Gon Chun
Making Programs Forget: Enforcing Lifetime for Sensitive Data. HotOS (2011)
Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti
CloneCloud: elastic execution between mobile device and cloud. EuroSys (2011)
Jayanthkumar Kannan, Petros Maniatis, Byung-Gon Chun
Secure Data Preservers for Web Services. WebApps (2011)
Petros Maniatis, Byung-Gon Chun
Small trusted primitives for dependable systems. ACM SIGOPS Oper. Syst. Rev. 45 (1) (2011)
Jayanthkumar Kannan, Petros Maniatis, Byung-Gon Chun
A Data Capsule Framework For Web Services: Providing Flexible Data Access Control To Users CoRR (2010)
Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik
CloneCloud: Boosting Mobile Device Applications Through Cloud Clone Execution CoRR (2010)
William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol Sheth
TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. OSDI (2010)
Byung-Gon Chun, Gianluca Iannaccone, Giuseppe Iannaccone, Randy H. Katz, Gunho Lee, Luca Niccolini
An energy case for hybrid datacenters. ACM SIGOPS Oper. Syst. Rev. 44 (1) (2010)
Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. NIPS (2010)
Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik
Mantis: Predicting System Performance through Program Analysis and Modeling CoRR (2010)
Byung-Gon Chun, Petros Maniatis, Scott Shenker, John Kubiatowicz
Tiered Fault Tolerance for Long-Term Integrity. FAST (2009)
Mihai Dobrescu, Norbert Egi, Katerina J. Argyraki, Byung-Gon Chun, Kevin R. Fall, Gianluca Iannaccone, Allan Knies, Maziar Manesh, Sylvia Ratnasamy
RouteBricks: exploiting parallelism to scale software routers. SOSP (2009)
Lucian Popa, Byung-Gon Chun, Ion Stoica, Jaideep Chandrashekar, Nina Taft
Macroscope: end-point approach to networked application dependency discovery. CoNEXT (2009)
Andrey Ermolinskiy, Daekyeong Moon, Byung-Gon Chun, Scott Shenker
Minuet: Rethinking Concurrency Control in Storage Area Networks. FAST (2009)
Byung-Gon Chun, Petros Maniatis
Augmented Smartphone Applications Through Clone Cloud Execution. HotOS (2009)
Katerina J. Argyraki, Salman Baset, Byung-Gon Chun, Kevin R. Fall, Gianluca Iannaccone, Allan Knies, Eddie Kohler, Maziar Manesh, Sergiu Nedevschi, Sylvia Ratnasamy
Can software routers scale? PRESTO (2008)
Byung-Gon Chun, Petros Maniatis, Scott Shenker
Diverse Replication for Single-Machine Byzantine-Fault Tolerance. USENIX Annual Technical Conference (2008)
Byung-Gon Chun, Sylvia Ratnasamy, Eddie Kohler
NetComplex: A Complexity Metric for Networked System Designs. NSDI (2008)
Cheng Tien Ee, Vijay Ramachandran, Byung-Gon Chun, Kaushik Lakshminarayanan, Scott Shenker
Resolving inter-domain policy disputes. SIGCOMM (2007)
Teemu Koponen, Mohit Chawla, Byung-Gon Chun, Andrey Ermolinskiy, Kye Hyun Kim, Scott Shenker, Ion Stoica
A data-oriented (and beyond) network architecture. SIGCOMM (2007)
Byung-Gon Chun, Petros Maniatis, Scott Shenker, John Kubiatowicz
Attested append-only memory: making adversaries stick to their word. SOSP (2007)
Hakim Weatherspoon, Patrick R. Eaton, Byung-Gon Chun, John Kubiatowicz
Antiquity: exploiting a secure log for wide-area distributed storage. EuroSys (2007)
Byung-Gon Chun, Frank Dabek, Andreas Haeberlen, Emil Sit, Hakim Weatherspoon, M. Frans Kaashoek, John Kubiatowicz, Robert Tappan Morris
Efficient Replica Maintenance for Distributed Storage Systems. NSDI (2006)
Emil Sit, Andreas Haeberlen, Frank Dabek, Byung-Gon Chun, Hakim Weatherspoon, Robert Tappan Morris, M. Frans Kaashoek, John Kubiatowicz
Proactive Replication for Data Durability. IPTPS (2006)
Byung-Gon Chun, Peter Wu, Hakim Weatherspoon, John Kubiatowicz
ChunkCast: An Anycast Service for Large Content Distribution. IPTPS (2006)
Byung-Gon Chun, Ben Y. Zhao, John Kubiatowicz
Impact of Neighbor Selection on Performance and Resilience of Structured P2P Networks. IPTPS (2005)
Sean C. Rhea, Byung-Gon Chun, John Kubiatowicz, Scott Shenker
Fixing the Embarrassing Slowness of OpenDHT on PlanetLab. WORLDS (2005)
Byung-Gon Chun, Rodrigo Fonseca, Ion Stoica, John Kubiatowicz
Characterizing Selfishly Constructed Overlay Routing Networks. INFOCOM (2004)
Byung-Gon Chun, Kamalika Chaudhuri, Hoeteck Wee, Marco Barreno, Christos H. Papadimitriou, John Kubiatowicz
Selfish caching in distributed systems: a game-theoretic analysis. PODC (2004)
Byung-Gon Chun, Mary Baker
Evaluation of packet scheduling algorithms in mobile ad hoc networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 6 (3) (2002)
Byung-Gon Chun, Byeong Gi Lee
Auxiliary Timeout and Selective Packet Discard Schemes to Improve TCP Performance in PCN Environment. ICC (1) (1997)