Jiwon Baek

According to our database, Jiwon Baek authored at least 24 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Variational Approach for Job Shop Scheduling.

Seung Heon Oh, Ji-Won Baek, Ki Young Cho, Hee Chang Yoon, Jong Hun Woo

CoRR, February, 2026

Framework for state features design in job shop scheduling with deep reinforcement learning: Beyond empirical approaches.

Seung Heon Oh, Young-in Cho, Hyunjin Oh, Ji-Won Baek, Seung-Woo Han, Jong Hun Woo

J. Comput. Des. Eng., 2026

Scene graph optimization using hyperedge-based relationship extraction.

Ji-Won Baek, Kyungyong Chung

Appl. Soft Comput., 2026

2025

Feasibility Study on the Interactive AI Scheduling with LLM Technology for Human-Centric Industry 5.0.

Hyun-Jin Oh, Ji-Won Baek, Ki Young Cho, Jong Hun Woo

Proceedings of the Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond, 2025

RUBI: Relative-Urgency Based Initialization for Solving Job Shop Scheduling Problem.

Jiwon Baek, Hyunjin Oh, Jong Hun Woo

Proceedings of the Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond, 2025

2024

Meta Learning based Object Tracking Technology: A Survey.

Ji-Won Baek, Kyungyong Chung

KSII Trans. Internet Inf. Syst., 2024

Deep Reinforcement Learning for Setup and Tardiness Minimization in Parallel Machine Scheduling.

So Hyun Nam, Ji-Won Baek, Young In Cho, Jong Hun Woo

Proceedings of the Winter Simulation Conference, 2024

2023

Captioning model based on meta-learning using prior-convergence knowledge for explainable images.

Ji-Won Baek, Kyungyong Chung

Pers. Ubiquitous Comput., 2023

Accident risk prediction model based on attention-mechanism LSTM using modality convergence in multimodal.

Ji-Won Baek, Kyungyong Chung

Pers. Ubiquitous Comput., 2023

Multi-Context Mining-Based Graph Neural Network for Predicting Emerging Health Risks.

Ji-Won Baek, Kyungyong Chung

IEEE Access, 2023

Sample-wise Label Confidence Incorporation for Learning with Noisy Labels.

Chanho Ahn, Kikyung Kim, Ji-Won Baek, Jongin Lim, Seungju Han

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rethinking Feature-based Knowledge Distillation for Face Recognition.

Jingzhi Li, Zidong Guo, Hui Li, Seungju Han, Ji-Won Baek, Min Yang, Ran Yang, Sungjoo Suh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CNN-based health model using knowledge mining of influencing factors.

Ji-Won Baek, Kyungyong Chung

Pers. Ubiquitous Comput., 2022

Voice Frequency Synthesis using VAW-GAN based Amplitude Scaling for Emotion Transformation.

Hye-Jeong Kwon, Min-Jeong Kim, Ji-Won Baek, Kyungyong Chung

KSII Trans. Internet Inf. Syst., 2022

Dimensional Expansion and Time-Series Data Augmentation Policy for Skeleton-Based Pose Estimation.

Sung-Soo Park, Hye-Jeong Kwon, Ji-Won Baek, Kyungyong Chung

IEEE Access, 2022

2021

Multimedia recommendation using Word2Vec-based social relationship mining.

Ji-Won Baek, Kyung-Yong Chung

Multim. Tools Appl., 2021

CNN-Based Voice Emotion Classification Model for Risk Detection.

Hyun Yoo, Ji-Won Baek, Kyungyong Chung

Intell. Autom. Soft Comput., 2021

Associative Knowledge Graph Using Fuzzy Clustering and Min-Max Normalization in Video Contents.

Hyun-Jin Kim, Ji-Won Baek, Kyungyong Chung

IEEE Access, 2021

Multi-Level Health Knowledge Mining Process in P2P Edge Network.

Ji-Won Baek, Kyungyong Chung

IEEE Access, 2021

Quality-Agnostic Image Recognition via Invertible Decoder.

Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

PrefixSpan Based Pattern Mining Using Time Sliding Weight From Streaming Data.

Ji-Soo Kang, Ji-Won Baek, Kyungyong Chung

IEEE Access, 2020

Context Deep Neural Network Model for Predicting Depression Risk Using Multiple Regression.

Ji-Won Baek, Kyungyong Chung

IEEE Access, 2020

Meta Variance Transfer: Learning to Augment from the Others.

Seong-Jin Park, Seungju Han, Ji-Won Baek, Insoo Kim, Juhwan Song, Haebeom Lee, Jae-Joon Han, Sung Ju Hwang

Proceedings of the 37th International Conference on Machine Learning, 2020

DiscFace: Minimum Discrepancy Learning for Deep Face Recognition.

Insoo Kim, Seungju Han, Seong-Jin Park, Ji-Won Baek, Jinwoo Shin, Jae-Joon Han, Changkyu Choi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020