Publications

You can also find my articles on my Google Scholar profile.

In Preparation or Submitted

Kwak, M. G., Mao, L., Zheng, Z., Su, Y., Lure, F., & Li, J. (2024). A Mutual Knowledge Distillation Framework for Alzheimer’s Disease Diagnosis Using Incomplete Multi-Modal Images. IEEE Transactions on Automation Science and Engineering, under revision.
- The preliminary study is uploaded to medrxiv and GitHub Repo.
- Kwak, M. G., Su, Y., Chen, K., Weidman, D., Wu, T., Lure, F., & Li, J. (2023). A Mutual Knowledge Distillation-Empowered AI Framework for Early Detection of Alzheimer’s Disease Using Incomplete Multi-Modal Images. medRxiv.
Lee, Y., Kwak, M. G., Chen, R. Q., Yan, H., Mupparapu, M., Lure, F., Setzer, F. C., & Li, J. (2024). Oral-Anatomical Knowledge-Informed Semi-Supervised Learning for 3D Dental CBCT Segmentation and Lesion Detection. IEEE Transactions on Automation Science and Engineering, under revision.
Heo, J., Lee, Y. J., Kim, J., Kwak, M., Park, Y. J., & Kim, S. B. (2024). Mixing Corrupted Preferences for Robust and Feedback-Efficient Preference-Based Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted.
Lee, Y. J., Kim, J., Park, Y. J., Kwak, M., & Kim, S. B. (2024). Masked and Inverse Dynamics Modeling for Data-Efficient Reinforcement Learning. IEEE Transactions on Neural Networks and Learning Systems, under revision.
Kwak, M., Kahng, H., & Kim, S. B. (2023). Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples. IEEE Transactions on Knowledge and Data Engineering, under revision.

Published

DynaSTI: Dynamics Modeling with Sequential Temporal Information for Reinforcement Learning in Atari

Published in Knowledge-Based Systems, 2024

Integration of forward and inverse dynamics for understanding sequential temporal nature in reinforcement learning.

Self-Supervised Contrastive Learning to Predict the Progression of Alzheimer’s Disease with 3D Amyloid-PET

Published in Bioengineering, 2023

Self-supervised contrastive learning for classifying mild cognitive impairment conversion with limited labels.

SWaCo: Safe Wafer Bin Map Classification With Self-Supervised Contrastive Learning

Published in IEEE Transactions on Semiconductor Manufacturing, 2023

Self-supervised contrastive learning method for out-of-distribution detection under class mismatch semi-supervised learning scenario.

STACoRe: Spatio-temporal and action-based contrastive representations for reinforcement learning in Atari

Published in Neural Networks, 2023

Sample-efficient reinforcement learning method with dual contrastive learning.

Hierarchical segment-channel attention network for explainable multichannel signal classification

Published in IEEE Access, 2021

Hierarchical architecture of attention-based network for multichannel data classification and interpretation.

Unsupervised abnormal sensor signal detection with channelwise reconstruction errors

Published in IEEE Access, 2021

Channelwise reconstruction anomaly detection model for multichannel timeseries data, evaluated with simulations and automobile sensors.

Channel-wise reconstruction-based anomaly detection framework for multi-channel sensor data

Published in Intelligent Systems and Applications: Proceedings of the 2019 Intelligent Systems Conference (IntelliSys), 2020

Integration of convolutional autoencoder and anomaly detection model for vehicle condition monitoring.

Process monitoring using variational autoencoder for high-dimensional nonlinear processes

Published in Engineering Applications of Artificial Intelligence, 2019

Variational autoencoder-based process control chart for monitoring.

Mingu Kwak

Publications

In Preparation or Submitted

Published