Jiwon Seo

Orcid: 0000-0002-4855-5609

Affiliations:
  • Hanyang University, Big Data Systems Lab, Seoul, Korea
  • Stanford University, Department of Computer Science, CA, USA


According to our database1, Jiwon Seo authored at least 30 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction.
Briefings Bioinform., January, 2023

Tailoring CUTLASS GEMM using Supervised Learning.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

X-RiSAWOZ: High-Quality End-to-End Multilingual Dialogue Datasets and Few-shot Agents.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Testing the Channels of Convolutional Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Sage: A System for Uncertain Network Analysis.
Proc. VLDB Endow., 2022

BWA-MEM-SCALE: Accelerating Genome Sequence Mapping on Commodity Servers.
Proceedings of the 51st International Conference on Parallel Processing, 2022

Out-of-order backprop: an effective scheduling technique for deep learning.
Proceedings of the EuroSys '22: Seventeenth European Conference on Computer Systems, Rennes, France, April 5, 2022

Correlation Between Attention Heads of BERT.
Proceedings of the International Conference on Electronics, Information, and Communication, 2022

Improving Inference Time of Deep Learning Model with Partial Skip of ReLU-fused Matrix Multiplication Operations.
Proceedings of the International Conference on Electronics, Information, and Communication, 2022

Quantization training with two-level bit width.
Proceedings of the International Conference on Electronics, Information, and Communication, 2022

2021
Scheduling Optimization Techniques for Neural Network Training.
CoRR, 2021

iTurboGraph: Scaling and Automating Incremental Graph Analytics.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

An In-Depth Analysis of Distributed Training of Deep Neural Networks.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

2020
<i>B<sup>3</sup></i>-Tree: Byte-Addressable Binary B-Tree for Persistent Memory.
ACM Trans. Storage, 2020

Detection of Rapidly Spreading Hashtags via Social Networks.
IEEE Access, 2020

AniFilter: parallel and failure-atomic cuckoo filter for non-volatile memories.
Proceedings of the EuroSys '20: Fifteenth EuroSys Conference 2020, 2020

Convergence-Aware Neural Network Training.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Robust quantization of deep neural networks.
Proceedings of the CC '20: 29th International Conference on Compiler Construction, 2020

2019
DASH: Database Shadowing for Mobile DBMS.
Proc. VLDB Endow., 2019

Pre-Select Static Caching and Neighborhood Ordering for BFS-like Algorithms on Disk-based Graph Engines.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2018
Datalog Extensions for Bioinformatic Data Analysis.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Wiki'ike: Making Use of Knowledge Graphs in a Classroom.
Proceedings of the Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2018

2016
A distributed open social platform for mobile devices.
Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

2015
SociaLite: An Efficient Graph Query Language Based on Datalog.
IEEE Trans. Knowl. Data Eng., 2015

2014
Navigating the maze of graph analytics frameworks using massive graph datasets.
Proceedings of the International Conference on Management of Data, 2014

2013
Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis.
Proc. VLDB Endow., 2013

SociaLite: Datalog extensions for efficient social network analysis.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2010
InvisiType: Object-Oriented Security Policies.
Proceedings of the Network and Distributed System Security Symposium, 2010

2008
Improving software concurrency with hardware-assisted memory snapshot.
Proceedings of the SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2008

Ased: availability, security, and debugging support usingtransactional memory.
Proceedings of the SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2008


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