Auxiliary Timeout and Selective Packet Discard Schemes to Improve TCP Performance in PCN Environment. - Byung-Gon Chun; Byeong Gi Lee (ICC (1), 1997)

Evaluation of packet scheduling algorithms in mobile ad hoc networks. - Byung-Gon Chun; Mary Baker (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2002)

Characterizing Selfishly Constructed Overlay Routing Networks. - Byung-Gon Chun; Rodrigo Fonseca; Ion Stoica; John Kubiatowicz (INFOCOM, 2004)

Selfish caching in distributed systems: a game-theoretic analysis. - Byung-Gon Chun; Kamalika Chaudhuri; Hoeteck Wee; Marco Barreno; Christos H. Papadimitriou; John Kubiatowicz (PODC, 2004)

Fixing the Embarrassing Slowness of OpenDHT on PlanetLab. - Sean C. Rhea; Byung-Gon Chun; John Kubiatowicz; Scott Shenker (WORLDS, 2005)

Impact of Neighbor Selection on Performance and Resilience of Structured P2P Networks. - Byung-Gon Chun; Ben Y. Zhao; John Kubiatowicz (IPTPS, 2005)

ChunkCast: An Anycast Service for Large Content Distribution. - Byung-Gon Chun; Peter Wu; Hakim Weatherspoon; John Kubiatowicz (IPTPS, 2006)

Proactive Replication for Data Durability. - Emil Sit; Andreas Haeberlen; Frank Dabek; Byung-Gon Chun; Hakim Weatherspoon; Robert Morris 005; M. Frans Kaashoek; John Kubiatowicz (IPTPS, 2006)

Efficient Replica Maintenance for Distributed Storage Systems. - Byung-Gon Chun; Frank Dabek; Andreas Haeberlen; Emil Sit; Hakim Weatherspoon; M. Frans Kaashoek; John Kubiatowicz; Robert Morris 005 (NSDI, 2006)

Antiquity: exploiting a secure log for wide-area distributed storage. - Hakim Weatherspoon; Patrick R. Eaton; Byung-Gon Chun; John Kubiatowicz (EuroSys, 2007)

Resolving inter-domain policy disputes. - Cheng Tien Ee; Vijay Ramachandran; Byung-Gon Chun; Kaushik Lakshminarayanan; Scott Shenker (SIGCOMM, 2007)

A data-oriented (and beyond) network architecture. - Teemu Koponen; Mohit Chawla; Byung-Gon Chun; Andrey Ermolinskiy; Kye Hyun Kim; Scott Shenker; Ion Stoica (SIGCOMM, 2007)

Attested append-only memory: making adversaries stick to their word. - Byung-Gon Chun; Petros Maniatis; Scott Shenker; John Kubiatowicz (SOSP, 2007)

NetComplex: A Complexity Metric for Networked System Designs. - Byung-Gon Chun; Sylvia Ratnasamy; Eddie Kohler (NSDI, 2008)

Can software routers scale? - Katerina J. Argyraki; Salman Baset; Byung-Gon Chun; Kevin R. Fall; Gianluca Iannaccone; Allan Knies; Eddie Kohler; Maziar Manesh; Sergiu Nedevschi; Sylvia Ratnasamy (PRESTO, 2008)

Diverse Replication for Single-Machine Byzantine-Fault Tolerance. - Byung-Gon Chun; Petros Maniatis; Scott Shenker (USENIX ATC, 2008)

Macroscope: end-point approach to networked application dependency discovery. - Lucian Popa 002; Byung-Gon Chun; Ion Stoica; Jaideep Chandrashekar; Nina Taft (CoNEXT, 2009)

Tiered Fault Tolerance for Long-Term Integrity. - Byung-Gon Chun; Petros Maniatis; Scott Shenker; John Kubiatowicz (FAST, 2009)

Minuet: Rethinking Concurrency Control in Storage Area Networks. - Andrey Ermolinskiy; Daekyeong Moon; Byung-Gon Chun; Scott Shenker (FAST, 2009)

Augmented Smartphone Applications Through Clone Cloud Execution. - Byung-Gon Chun; Petros Maniatis (HotOS, 2009)

RouteBricks: exploiting parallelism to scale software routers. - Mihai Dobrescu; Norbert Egi; Katerina J. Argyraki; Byung-Gon Chun; Kevin R. Fall; Gianluca Iannaccone; Allan Knies; Maziar Manesh; Sylvia Ratnasamy (SOSP, 2009)

Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. - Ling Huang 001; Jinzhu Jia; Bin Yu 001; Byung-Gon Chun; Petros Maniatis; Mayur Naik (NIPS, 2010)

TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. - William Enck; Peter Gilbert; Byung-Gon Chun; Landon P. Cox; Jaeyeon Jung; Patrick D. McDaniel; Anmol Sheth (OSDI, 2010)

A Data Capsule Framework For Web Services: Providing Flexible Data Access Control To Users - Jayanthkumar Kannan; Petros Maniatis; Byung-Gon Chun (CoRR, 2010)

CloneCloud: Boosting Mobile Device Applications Through Cloud Clone Execution - Byung-Gon Chun; Sunghwan Ihm; Petros Maniatis; Mayur Naik (CoRR, 2010)

Mantis: Predicting System Performance through Program Analysis and Modeling - Byung-Gon Chun; Ling Huang 001; Sangmin Lee; Petros Maniatis; Mayur Naik (CoRR, 2010)

An energy case for hybrid datacenters. - Byung-Gon Chun; Gianluca Iannaccone; Giuseppe Iannaccone; Randy H. Katz; Gunho Lee; Luca Niccolini (ACM SIGOPS Oper. Syst. Rev., 2010)

CloneCloud: elastic execution between mobile device and cloud. - Byung-Gon Chun; Sunghwan Ihm; Petros Maniatis; Mayur Naik; Ashwin Patti (EuroSys, 2011)

Making Programs Forget: Enforcing Lifetime for Sensitive Data. - Jayanthkumar Kannan; Byung-Gon Chun (HotOS, 2011)

Secure Data Preservers for Web Services. - Jayanthkumar Kannan; Petros Maniatis; Byung-Gon Chun (WebApps, 2011)

Small trusted primitives for dependable systems. - Petros Maniatis; Byung-Gon Chun (ACM SIGOPS Oper. Syst. Rev., 2011)

Mobius: unified messaging and data serving for mobile apps. - Byung-Gon Chun; Carlo Curino; Russell Sears; Alexander Shraer; Samuel Madden 001; Raghu Ramakrishnan 001 (MobiSys, 2012)

MegaPipe: A New Programming Interface for Scalable Network I/O. - Sangjin Han; Scott Marshall; Byung-Gon Chun; Sylvia Ratnasamy (OSDI, 2012)

Mantis: Automatic Performance Prediction for Smartphone Applications. - Yongin Kwon; Sangmin Lee; Hayoon Yi; Donghyun Kwon; Seungjun Yang; Byung-Gon Chun; Ling Huang 001; Petros Maniatis; Mayur Naik; Yunheung Paek (USENIX ATC, 2013)

REEF: Retainable Evaluator Execution Framework. - Byung-Gon Chun; Tyson Condie; Carlo Curino; Raghu Ramakrishnan 001; Russell Sears; Markus Weimer (Proc. VLDB Endow., 2013)

Collecting, organizing, and sharing pins in pinterest: interest-driven or social-driven? - Jinyoung Han; Daejin Choi; Byung-Gon Chun; Ted Taekyoung Kwon; Hyunchul Kim; Yanghee Choi (SIGMETRICS, 2014)

Reducing energy consumption of smartphones using user-perceived response time analysis. - Wook Song; Nosub Sung; Byung-Gon Chun; Jihong Kim 001 (HotMobile, 2014)

TaintDroid: an information flow tracking system for real-time privacy monitoring on smartphones. - William Enck; Peter Gilbert; Byung-Gon Chun; Landon P. Cox; Jaeyeon Jung; Patrick D. McDaniel; Anmol Sheth (Commun. ACM, 2014)

TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. - William Enck; Peter Gilbert; Seungyeop Han; Vasant Tendulkar; Byung-Gon Chun; Landon P. Cox; Jaeyeon Jung; Patrick D. McDaniel; Anmol N. Sheth (ACM Trans. Comput. Syst., 2014)

Characterizing Conversation Patterns in Reddit: From the Perspectives of Content Properties and User Participation Behaviors. - Daejin Choi; Jinyoung Han; Taejoong Chung; Yong-Yeol Ahn; Byung-Gon Chun; Ted Taekyoung Kwon (COSN, 2015)

Elastic Memory: Bring Elasticity Back to In-Memory Big Data Analytics. - Joo Seong Jeong; Woo-Yeon Lee; Yunseong Lee; Youngseok Yang; Brian Cho; Byung-Gon Chun (HotOS, 2015)

Making Sense of Performance in Data Analytics Frameworks. - Kay Ousterhout; Ryan Rasti; Sylvia Ratnasamy; Scott Shenker; Byung-Gon Chun (NSDI, 2015)

REEF: Retainable Evaluator Execution Framework. - 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; et al. (SIGMOD Conference, 2015)

Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. - Yongin Kwon; Sangmin Lee; Hayoon Yi; Donghyun Kwon; Seungjun Yang; Byung-Gon Chun; Ling Huang 001; Petros Maniatis; Mayur Naik; Yunheung Paek (IEEE Trans. Mob. Comput., 2015)

Collaborative analytics for data silos. - Jinkyu Kim 001; Heonseok Ha; Byung-Gon Chun; Sungroh Yoon; Sang K. Cha (ICDE, 2016)

Scaling Up IoT Stream Processing. - Taegeon Um; Gyewon Lee; Sanha Lee; Kyungtae Kim; Byung-Gon Chun (APSys, 2017)

Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. - Taehun Kim; Hyeonmin Ha; Seoyoon Choi; Jaeyeon Jung; Byung-Gon Chun (AsiaCCS, 2017)

Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters. - Youngseok Yang; Geon-Woo Kim; Won Wook Song; Yunseong Lee; Andrew Chung; Zhengping Qian; Brian Cho; Byung-Gon Chun (EuroSys, 2017)

Apache REEF: Retainable Evaluator Execution Framework. - 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; et al. (ACM Trans. Comput. Syst., 2017)

High-Performance Stateful Stream Processing on Solid-State Drives. - Gyewon Lee; Jeongyoon Eo; Jangho Seo; Taegeon Um; Byung-Gon Chun (APSys, 2018)

Improving the expressiveness of deep learning frameworks with recursion. - Eunji Jeong; Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Byung-Gon Chun (EuroSys, 2018)

PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. - Yunseong Lee; Alberto Scolari; Byung-Gon Chun; Marco Domenico Santambrogio; Markus Weimer; Matteo Interlandi (OSDI, 2018)

Parallax: Automatic Data-Parallel Training of Deep Neural Networks. - Soojeong Kim; Gyeong-In Yu; Hojin Park; Sungwoo Cho; Eunji Jeong; Hyeonmin Ha; Sanha Lee; Joo Seong Jeong; Byung-Gon Chun (CoRR, 2018)

From the Edge to the Cloud: Model Serving in ML.NET. - Yunseong Lee; Alberto Scolari; Byung-Gon Chun; Markus Weimer; Matteo Interlandi (IEEE Data Eng. Bull., 2018)

Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. - Soojeong Kim; Gyeong-In Yu; Hojin Park; Sungwoo Cho; Eunji Jeong; Hyeonmin Ha; Sanha Lee; Joo Seong Jeong; Byung-Gon Chun (EuroSys, 2019)

Automating System Configuration of Distributed Machine Learning. - 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 (ICDCS, 2019)

JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Byung-Gon Chun (NSDI, 2019)

Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. - Youngseok Yang; Jeongyoon Eo; Geon-Woo Kim; Jooyeon Kim; Sanha Lee; Jangho Seo; Won Wook Song; Byung-Gon Chun (USENIX ATC, 2019)

Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. - Gyeong-In Yu; Saeed Amizadeh; Artidoro Pagnoni; Byung-Gon Chun; Markus Weimer; Matteo Interlandi (CoRR, 2019)

Stage-based Hyper-parameter Optimization for Deep Learning. - Ahnjae Shin; Dongjin Shin; Sungwoo Cho; Do Yoon Kim; Eunji Jeong; Gyeong-In Yu; Byung-Gon Chun (CoRR, 2019)

Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. - Eunji Jeong; Sungwoo Cho; Gyeong-In Yu; Joo Seong Jeong; Dongjin Shin; Taebum Kim; Byung-Gon Chun (ACM SIGOPS Oper. Syst. Rev., 2019)

Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. - Woosuk Kwon; Gyeong-In Yu; Eunji Jeong; Byung-Gon Chun (NeurIPS, 2020)

Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. - Ahnjae Shin; Do Yoon Kim; Joo Seong Jeong; Byung-Gon Chun (CoRR, 2020)

Accelerating Multi-Model Inference by Merging DNNs of Different Weights. - Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Yunseong Lee; Byung-Gon Chun (CoRR, 2020)

Apache Nemo: A Framework for Optimizing Distributed Data Processing. - Won Wook Song; Youngseok Yang; Jeongyoon Eo; Jangho Seo; Joo Yeon Kim; Sanha Lee; Gyewon Lee; Taegeon Um; Haeyoon Cho 001; Byung-Gon Chun (ACM Trans. Comput. Syst., 2020)

SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-Shot Cross-lingual Transfer. - Dohyeon Lee; Jaeseong Lee 002; Gyewon Lee; Byung-Gon Chun; Seung-won Hwang (CIKM, 2021)

Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. - Woo-Yeon Lee; Yunseong Lee; Won Wook Song; Youngseok Yang; Jooyeon Kim; Byung-Gon Chun (ICDCS, 2021)

Pluto: High-Performance IoT-Aware Stream Processing. - Taegeon Um; Gyewon Lee; Byung-Gon Chun (ICDCS, 2021)

Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. - Taebum Kim; Eunji Jeong; Geon-Woo Kim; Yunmo Koo; Sehoon Kim 001; Gyeong-In Yu; Byung-Gon Chun (NeurIPS, 2021)

Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. - Youngseok Yang; Taesoo Kim; Byung-Gon Chun (OSDI, 2021)

Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. - Gyewon Lee; Irene Lee; Hyeonmin Ha; Kyung-Geun Lee; Hwarim Hyun; Ahnjae Shin; Byung-Gon Chun (USENIX ATC, 2021)

WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Modele. - Gyeong-In Yu; Saeed Amizadeh; Sehoon Kim 001; Artidoro Pagnoni; Ce Zhang 001; Byung-Gon Chun; Markus Weimer; Matteo Interlandi (Proc. VLDB Endow., 2021)

OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications. - Jeongyoon Eo; Zhixiong Niu; Wenxue Cheng; Francis Y. Yan; Rui Gao; Jorina Kardhashi; Scott Inglis; Michael Revow; Byung-Gon Chun; Peng Cheng 005; Yongqiang Xiong (APNet, 2022)

SWAN: WAN-aware stream processing on geographically-distributed clusters. - Won Wook Song; Myeongjae Jeon; Byung-Gon Chun (APSys, 2022)

SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. - Hyeonmin Ha; Ji-Hoon Kim 002; Semin Park; Byung-Gon Chun (ICLR, 2022)

Band: coordinated multi-DNN inference on heterogeneous mobile processors. - Joo Seong Jeong; Jingyu Lee; Donghyun Kim; Changmin Jeon; Changjin Jeong; Youngki Lee 001; Byung-Gon Chun (MobiSys, 2022)

Orca: A Distributed Serving System for Transformer-Based Generative Models. - Gyeong-In Yu; Joo Seong Jeong; Geon-Woo Kim; Soojeong Kim; Byung-Gon Chun (OSDI, 2022)

Hippo: Sharing Computations in Hyper-Parameter Optimization. - Ahnjae Shin; Joo Seong Jeong; Do Yoon Kim; Soyoung Jung; Byung-Gon Chun (Proc. VLDB Endow., 2022)

Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. - Hyeonmin Ha; Soyoung Jung; Jinsol Park; Minjoon Seo; Seung-won Hwang; Byung-Gon Chun (ACL (Findings), 2023)

Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. - Hyeonmin Ha; Jihye Lee; Wookje Han; Byung-Gon Chun (EMNLP (Findings), 2023)

FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. - Gyewon Lee; Jaewoo Maeng; Jinsol Park; Jangho Seo; Haeyoon Cho 001; Youngseok Yang; Taegeon Um; Jongsung Lee 001; Jae W. Lee; Byung-Gon Chun (EuroSys, 2023)

BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. - Taebum Kim; Hyoungjoo Kim; Gyeong-In Yu; Byung-Gon Chun (ICML, 2023)

Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. - Won Wook Song; Taegeon Um; Sameh Elnikety; Myeongjae Jeon; Byung-Gon Chun (USENIX ATC, 2023)

Blaze: Holistic Caching for Iterative Data Processing. - Won Wook Song; Jeongyoon Eo; Taegeon Um; Myeongjae Jeon; Byung-Gon Chun (EuroSys, 2024)

Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. - Jingyu Lee; Hyunsoo Kim; Minjae Kim 001; Byung-Gon Chun; Youngki Lee 001 (MobiSys, 2024)

Poster: Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. - Jingyu Lee; Hyunsoo Kim; Minjae Kim 001; Byung-Gon Chun; Youngki Lee 001 (MobiSys, 2024)