Mijung Kim

Orcid: 0000-0003-3995-5384

According to our database1, Mijung Kim authored at least 48 papers between 2009 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Constrained Sorter Design using Zero-One Principle.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Impact of Large Language Models on Generating Software Specifications.
CoRR, 2023

Multi-scale Cell-based Layout Representation for Document Understanding.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

A Static Contention-Free Dual-Edge-Triggered Flip-Flop with Redundant Internal Node Transition Elimination for Ultra-Low-Power Applications.
Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Age Prediction From Face Images Via Contrastive Learning.
Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

2022
Effect of a Wireless Vital Sign Monitoring System on the Rapid Response System in the General Ward.
J. Medical Syst., 2022

A 14-nm Low Voltage SRAM with Charge-Recycling and Charge Self-Saving Techniques for Low-Power Applications.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

DocTer: documentation-guided fuzzing for testing deep learning API functions.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021
Leveraging Documentation to Test Deep Learning Library Functions.
CoRR, 2021

Low-Cost Network Scheduling of 3D-CNN Processing for Embedded Action Recognition.
IEEE Access, 2021

DEVIATE: A Deep Learning Variance Testing Framework.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Energy-Efficient Intelligent EPTS Device using Novel DCNN-Based Dynamic Sensor Activation.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020
Ultra-Low Power Wearable Infant Sleep Position Sensor.
Sensors, 2020

Energy-Efficient Wearable EPTS Device Using On-Device DCNN Processing for Football Activity Classification.
Sensors, 2020

MRI-based Diagnosis of Rotator Cuff Tears using Deep Learning and Weighted Linear Combinations.
Proceedings of the Machine Learning for Healthcare Conference, 2020

2019
'A Wisdom of Crowds': Social Media Mining for Soccer Match Analysis.
IEEE Access, 2019

Design of a Low-Power BLE5-Based Wearable Device for Tracking Movements of Football Players.
Proceedings of the 2019 International SoC Design Conference, 2019

2018
TISRover: ConvNets learn biologically relevant features for effective translation initiation site prediction.
Int. J. Data Min. Bioinform., 2018

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning.
CoRR, 2018

SpliceRover: interpretable convolutional neural networks for improved splice site prediction.
Bioinform., 2018

Which generated test failures are fault revealing? prioritizing failures based on inferred precondition violations using PAF.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Computer-Aided Diagnosis and Localization of Glaucoma Using Deep Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
A comparison of Facebook, Twitter, and LinkedIn: Examining motivations and network externalities for the use of social networking sites.
First Monday, 2017

Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis.
Proceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care, 2017

Sparkle: optimizing spark for large memory machines and analytics.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

Sandpiper: Scaling probabilistic inferencing to large scale graphical models.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Interpretable convolutional neural networks for effective translation initiation site prediction.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient CP and tucker decompositions.
Data Min. Knowl. Discov., 2016

2015
REMI: defect prediction for efficient API testing.
Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

2014
TensorDB and Tensor-Relational Model (TRM) for Efficient Tensor-Relational Operations.
PhD thesis, 2014

Palette: enabling scalable analytics for big-memory, multicore machines.
Proceedings of the International Conference on Management of Data, 2014

Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

TensorDB: In-Database Tensor Manipulation with Tensor-Relational Query Plans.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Efficient Static and Dynamic In-Database Tensor Decompositions on Chunk-Based Array Stores.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2012
Social networking and adjustments among international students.
New Media Soc., 2012

SBV-Cut: Vertex-cut based graph partitioning using structural balance vertices.
Data Knowl. Eng., 2012

Efficient regression testing of ontology-driven systems.
Proceedings of the International Symposium on Software Testing and Analysis, 2012

Decomposition-by-normalization (DBN): leveraging approximate functional dependencies for efficient tensor decomposition.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Systematic Modeling, Testing, and Monitoring of Information Integrity in Federated Ontology-driven Data Sources.
Proceedings of the AMIA 2012, 2012

2011
Two-stage multinomial logit model.
Expert Syst. Appl., 2011

Approximate tensor decomposition within a tensor-relational algebraic framework.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Automated Bug Neighborhood Analysis for Identifying Incomplete Bug Fixes.
Proceedings of the Third International Conference on Software Testing, 2010

2009
Two-stage logistic regression model.
Expert Syst. Appl., 2009

Reproducible gene selection algorithm with random effect model in cDNA microarray-based CGH data.
Expert Syst. Appl., 2009

Fault localization and repair for Java runtime exceptions.
Proceedings of the Eighteenth International Symposium on Software Testing and Analysis, 2009

Enabling accessible interfaces to digital library content.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009


  Loading...