Graduate Student

Ah-Hyung Shin (신아형)

M.S. student, Computer Science and Engineering, Kyung Hee University Email: dkgud111@khu.ac.kr Room: #107-2, College of Electronics Information Research interests: Anomaly detection, Talking head generation, Multi-modality, Unsupervised domain adaptation, and Continual learning.

Education

Kyung Hee University, Yongin, Republic of Korea M.S. student in Computer Science and Engineering Advisor: Prof. Gyeong-Moon Park
Kyung Hee University, Yongin, Republic of Korea B.S. in Computer Science and Engineering Advisor: Prof. Gyeong-Moon Park

Publication

[2]
A.-H. Shin, S.T. Kim*, and G.-M. Park* (Co-corresponding) "Time Series Anomaly Detection using Transformer-based GAN with Two-Step Masking" IEEE Access, Jun. 2023.
[1]
A.-H. Shin and G.-M. Park "AnoFormer: Anomalous Rhythm Detection with Transformer-based GAN" Korea Computer Congress (KCC), Jeju Island, Republic of Korea, Jun. 2021. [Award]

Patent

[2]

A.-H. Shin and G.-M. Park "Method for Detecting Outliers in Multivariate Time Series Data and Computing Device for Performing the Same" Korean Patent Application (10-2023-0051450), Apr. 19, 2023.

[1]

A.-H. Shin and G.-M. Park "Method for Detecting Anomaly in Time Series Data and Computing Device for Executing the Method" Patent Application (10-2021-0175107), Aug. 1, 2022.

Research Project

[2]
Video and Audio-Driven Lip Sync Generation Models Supervision: ETRI Role: Participating Researcher
[1]
Patient-specific General Intelligence for Effective Early Diagnosis of Arrhythmia Supervision: Institute of Information & Communications Technology Planning & Evaluation (IITP) Role: Participating Researcher

Activity

Teaching Experience
[1]
Object Oriented Programming
[2]
Computer Architecture
[3]
Full-Stack Service Networking
[4]
Web and Python Programming
Academic Services
[1]
Journal Reviewer IEEE Robotics and Automation Letters (IEEE RA-L)
[2]
Top Tier Conference Attendance European Conference on Computer Vision (ECCV), Tel-Aviv, Israel, Oct. 2022.
[3]
Top Tier Conference Reviewer IEEE / CVF Computer Vision and Pattern Recognition (CVPR, 2023)
Awards
[1]
Korea Computer Congress (KCC), Jeju Island, Republic of Korea, Jun. 2021. [Award]
Skills
[1]
Languages Korean (native), English
[2]
Programming Skills Python (Pytorch, TensorFlow), C++