Jongchan Park

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Pathology Foundation Models are Scanner Sensitive: Benchmark and Mitigation with Contrastive ScanGen Loss.
CoRR, July, 2025

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning.
CoRR, June, 2025

Pretraining a Shared Q-Network for Data-Efficient Offline Reinforcement Learning.
CoRR, May, 2025

CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation.
CoRR, April, 2025

Improving Fault Localization with External Oracle by Using Counterfactual Execution.
ACM Trans. Softw. Eng. Methodol., February, 2025

Proportional Navigation Guidance With Virtual Targeting for Impact Angle Control.
IEEE Trans. Aerosp. Electron. Syst., February, 2025

Self-supervised risk factor model using dual Recurrent State Space Models.
Knowl. Based Syst., 2025

Power Consumption Optimization of GPU Server With Offline Reinforcement Learning.
IEEE Access, 2025

2024
Generalizing AI-driven Assessment of Immunohistochemistry across Immunostains and Cancer Types: A Universal Immunohistochemistry Analyzer.
CoRR, 2024

Novelty-aware Graph Traversal and Expansion for Hierarchical Reinforcement Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
The Inversive Relationship Between Bugs and Patches: An Empirical Study.
Proceedings of the IEEE International Conference on Software Testing, Verification and Validation, ICST 2023, 2023

2022
A Self-Supervised Sampler for Efficient Action Recognition: Real-World Applications in Surveillance Systems.
IEEE Robotics Autom. Lett., 2022

The effects of the regulated learning-supported flipped classroom on student performance.
J. Comput. High. Educ., 2022

Building Knowledge Graphs from Unstructured Texts: Applications and Impact Analyses in Cybersecurity Education.
Inf., 2022

Using Self-Supervised Pretext Tasks for Active Learning.
CoRR, 2022

Estimation of Aerodynamic Uncertainty in Missile System Using Physics-Informed Neural Network Framework.
Proceedings of the Robot Intelligence Technology and Applications 7, 2022

PT4AL: Using Self-supervised Pretext Tasks for Active Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

Unsupervised Change Detection Based on Image Reconstruction Loss.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
X-person asymmetric interaction in virtual and augmented realities.
Comput. Animat. Virtual Worlds, 2021

Visual representation fidelity and self-explanation prompts in multi-representational adaptive learning.
J. Comput. Assist. Learn., 2021

Exploiting Features with Split-and-Share Module.
CoRR, 2021

Sequential Feature Filtering Classifier.
IEEE Access, 2021

Studying the Effects of Self-Attention for Medical Image Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

The Value of Visual Attention for COVID-19 Classification in CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Reducing Domain Gap by Reducing Style Bias.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Promoting case indexing in case library learning: Effects of indexing prompts on self-explanation and problem solving.
J. Comput. Assist. Learn., 2020

A Simple and Light-Weight Attention Module for Convolutional Neural Networks.
Int. J. Comput. Vis., 2020

Sequential Feature Filtering Classifier.
CoRR, 2020

Learning Visual Context by Comparison.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Reducing Domain Gap via Style-Agnostic Networks.
CoRR, 2019

Fraud Detection with Multi-Modal Attention and Correspondence Learning.
Proceedings of the International Conference on Electronics, Information, and Communication, 2019

2018
CBAM: Convolutional Block Attention Module.
Proceedings of the Computer Vision - ECCV 2018, 2018

Distort-and-Recover: Color Enhancement Using Deep Reinforcement Learning.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

BAM: Bottleneck Attention Module.
Proceedings of the British Machine Vision Conference 2018, 2018

2011
An 8M Polygons/s 3-D Graphics SoC With Full Hardware Geometric and Rendering Engine for Mobile Applications.
IEEE Trans. Very Large Scale Integr. Syst., 2011


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