Thi Kieu Khanh Ho

18 papers A* 2A 3Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 A* conf
Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications.
AAAI
Thi Kieu Khanh Ho
2025 A conf
Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models.
UAI
Thi Kieu Khanh Ho, Narges Armanfard
2025 J jnl
Graph Anomaly Detection in Time Series: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
2025 A conf
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-Based Video Anomaly Detection.
WACV
Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard
2024 J jnl
Graph-Jigsaw Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.
CoRR
Ali Karami, Thi Kieu Khanh Ho, Narges Armanfard
2024 A conf
Open-Set Multivariate Time-Series Anomaly Detection.
ECAI
Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
2024 J jnl
Self-supervised anomaly detection in computer vision and beyond: A survey and outlook.
Neural Networks
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
2023 J jnl
Graph-based Time-Series Anomaly Detection: A Survey.
CoRR
Thi Kieu Khanh Ho, Ali Karami, Narges Armanfard
2023 J jnl
Multivariate Time-Series Anomaly Detection with Contaminated Data: Application to Physiological Signals.
CoRR
Thi Kieu Khanh Ho, Narges Armanfard
2023 J jnl
Open-Set Multivariate Time-Series Anomaly Detection.
CoRR
Thomas Lai, Thi Kieu Khanh Ho, Narges Armanfard
2023 A* conf
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis.
AAAI
Thi Kieu Khanh Ho, Narges Armanfard
2022 J jnl
Self-Supervised Anomaly Detection: A Survey and Outlook.
CoRR
Hadi Hojjati, Thi Kieu Khanh Ho, Narges Armanfard
2022 J jnl
Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis.
CoRR
Thi Kieu Khanh Ho, Narges Armanfard
2020 J jnl
Using Artificial Intelligence Methods for Dental Image Analysis: State-of-the-Art Reviews.
J. Medical Imaging Health Informatics
Junho Ahn, Thi Kieu Khanh Ho, Jaeyong Kang, Jeonghwan Gwak
2020 J jnl
Utilizing Knowledge Distillation in Deep Learning for Classification of Chest X-Ray Abnormalities.
IEEE Access
Thi Kieu Khanh Ho, Jeonghwan Gwak
2019 J jnl
Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches.
IEEE Access
Thi Kieu Khanh Ho, Jeonghwan Gwak, Chang Min Park, Jong-In Song
2019 J jnl
Toward Deep Learning Approaches for Learning Structure Motifs and Classifying Biological Sequences From RNA A-to-I Editing Events.
IEEE Access
Thi Kieu Khanh Ho, Jeonghwan Gwak
2019 — conf
Utilizing Pretrained Deep Learning Models for Automated Pulmonary Tuberculosis Detection Using Chest Radiography.
ACIIDS (2)
Thi Kieu Khanh Ho, Jeonghwan Gwak, Om Prakash, Jong-In Song, Chang Min Park