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 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)

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)

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)

Lovelock: Towards Smart NIC-hosted Clusters. - Seo Jin Park; Ramesh Govindan; Kai Shen; David E. Culler; Fatma Özcan; Geon-Woo Kim; Hank Levy (CoRR, 2023)

Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. - Ruisi Cai; Yeonju Ro; Geon-Woo Kim; Peihao Wang; Babak Ehteshami Bejnordi; Aditya Akella; Zhangyang Wang (NeurIPS, 2024)

Extraction of Meta-Data for Recommendation Using Keyword Mapping. - Geon-Woo Kim; Woo-Hyeon Kim; Kyungyong Chung; Joo-Chang Kim (IEEE Access, 2024)

StitchLLM: Serving LLMs, One Block at a Time. - Bodun Hu; Shuozhe Li; Saurabh Agarwal; Myungjin Lee; Akshay Jajoo; Jiamin Li 002; Le Xu; Geon-Woo Kim; Donghyun Kim 002; Hong Xu 001; Amy Zhang 001; Aditya Akella (ACL (1), 2025)

LLM-based Methodology for Expanding 3D Metadata in Point Cloud. - Geon-Woo Kim; Joo-Chang Kim (ICACT, 2025)

OMEGA: A Low-Latency GNN Serving System for Large Graphs. - Geon-Woo Kim; Donghyun Kim 002; Jeongyoon Moon; Henry Liu; Tarannum Khan; Anand Iyer; Daehyeok Kim; Aditya Akella (CoRR, 2025)

Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony. - Shaoyu Wang; Guangrong He; Geon-Woo Kim; Yanqi Zhou; Seo Jin Park (CoRR, 2025)

HALoS: Hierarchical Asynchronous Local SGD over Slow Networks for Geo-Distributed Large Language Model Training. - Geon-Woo Kim; Junbo Li; Shashidhar Gandham; Omar Baldonado; Adithya Gangidi; Pavan Balaji; Zhangyang Wang; Aditya Akella (CoRR, 2025)