Publications

* I am the corresponding author of the underlined papers. This means that I am responsible for the main contribution of those papers (other primary/corresponding authors are also underlined).


2022

  • RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction

Kanggeun Lee, Dongbin Cho, Jinho Jang, Kang Choi, Hyoung-oh Jeong, Jiwon Seo*, Won-Ki Jeong, Semin Lee

Briefings in Bioinformatics, 2022

  • Testing the Channels of Convolutional Neural Networks
    Kang Choi, Donghyun Son, Younghoon Kim, and Jiwon Seo*
    In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI), 2023 (to appear)

  • SAGE: A System for Uncertain Network Analysis
    Eunjae Lee, Sam H. Noh, and Jiwon Seo*
    In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2022-2023

  • BWA-MEM-SCALE: Accelerating Genome Sequence Mapping on Commodity Servers
    Changdae Kim, Kwangwon Koh, Taehoon Kim, Daegyu Han, and Jiwon Seo*
    In Proceedings of the International Conference on Parallel Processing (ICPP), 2022 (received best paper award)

  • Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning
    Hyungjun Oh, Junyeol Lee, Hyeongju Kim, and Jiwon Seo*
    In Proceedings of the European Conference on Computer Systems (EuroSys), 2022

  • Gyro Dropout: Maximizing Ensemble Effect in Neural Network Training
    Junyeol Lee, Hyeongju Kim, Hyungjun Oh, Jaemin Kim, Hongseok Jeung, Yung-Kyun Noh, and Jiwon Seo*
    In Proceedings of the Fifth Conference on Machine Learning and Systems (MLSys), 2022

2021

  • 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

2020

  • 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 Transactions on Storage, 2020

  • Detection of Rapidly Spreading Hashtags via Social Networks
    Younghoon Kim and Jiwon Seo
    IEEE Access, 2020

2019

  • 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

JaeWoong Chung, Woongki Baek, Nathan G.Bronson, Jiwon Seo, Christos Kozyrakis, and Kunle Olukotun
In the Proceedings of the 20th ACM Symposium on Parallelism Architectures and Algorithms (SPAA), Jun. 2008 (Poster).

  • Improving Software Concurrency with Hardware-assisted Memory Snapshot

JaeWoong Chung, Jiwon Seo, Woongki Baek, Chi Cao Minh, Austen McDonald, Christos Kozyrakis, and Kunle Olukotun
In the Proceedings of the 20th ACM Symposium on Parallelism Architectures and Algorithms (SPAA), Jun. 2008 (Poster).