* I am the corresponding author of the underlined papers. This means that I am responsible for the main contribution of those papers.

  • iTurboGraph: Scaling and Automating Incremental Graph Analytics
    Seongyun Ko, Taesung Lee, Kijae Hong, Wonseok Lee, In Seo, Jiwon Seo, and Wook-Shin Han
    In Proceedings of the International Conference on Management of Data (SIGMOD), 2021
  • An In-Depth Analysis of Distributed Training of Deep Neural Networks
    Yunyong Ko, Kibong Choi, Jiwon Seo*, and Sang-Wook Kim
    In Proceedings of IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2021
  • Convergence-Aware Neural Network Training
    Hyungjun Oh, Yongseung Yu, Giha Ryu, Gunjoo Ahn, Yuri Jeong, Yongjun Park, and Jiwon Seo*
    In Proceedings of the Design Automation Conference (DAC), 2020 
  • AniFilter: Parallel and Failure-Atomic Cuckoo Filter for Non-Volatile Memories
    Hyungjun Oh, Bongki Cho, Changdae Kim, Heejin Park, and Jiwon Seo*
    In Proceedings of the European Conference on Computer Systems (EuroSys), 2020
  • Robust Quantization of Deep Neural Networks
    Youngseok Kim, Junyeol Lee, Younghoon Kim, and Jiwon Seo*
    In Proceedings of the International Conference on Compiler Construction (CC), 2020 
  • B3-Tree: Byte-Addressable Binary B-Tree for Persistent Memory
    Hokeun Cha , Moohyeon  Nam, Kibeom  Jin, Jiwon  Seo, and Beomseok  Nam
    ACM Transaction on Storage, 2020
  • Detection of Rapidly Spreading Hashtags via Social Networks
    Younghoon Kim and Jiwon Seo
    IEEE Access, 2020
  • Pre-Select Static Caching and Neighborhood Orderingfor BFS-like Algorithms on Disk-based Graph Engines
    Eunjae Lee, Junghyun Kim, Keunhak Lim, Sam H. Noh, and Jiwon Seo*
    In Proceedings of the 2019 USENIX Annual Technical Conference (USENIX ATC), 2019
  • DASH: Database Shadowing for Mobile DBMS
    Youjip Won,  Sundoo Kim, Juseong Yun, Dam Quang Tuan, and Jiwon Seo 
    In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2019
2018 or before