I work on quantum computing, mainly quantum machine learning and decoders for quantum error correction. I'm an undergraduate in Computer Science and Engineering at Dongguk University in Seoul.
In quantum machine learning, I studied how the choice of training records affects quantum convolutional neural networks for intrusion detection.
In error correction, I'm now working on two decoding problems. For qLDPC codes, I'm looking at how a real-time window decoder should protect the outcome of a logical measurement. For the surface code, I'm studying how training data for a neural decoder should be generated.
The Research page has longer write-ups of finished projects, with figures, results, and what did not work. The decoding work will be added there once the papers are public.
Publications
Under review
How Sampling Affects QCNN Intrusion Detection
Hyungsuk Lee, In-Nea Wang, Junho Jeong
Submitted to ICAIIC 2027
Published
Smart Home Anomaly Detection using K-Means Dynamic Threshold and Isolation Forest based on Multi-Sensor Data
Hyungsuk Lee, Haneum Lee, In-Nea Wang, Junho Jeong
Journal of Korean Institute of Intelligent Systems 36(5):411–419, 2026. In Korean; extended version of the KIIS 2025 paper below.
Daily Life Pattern Extraction in Single Person Households
Hyungsuk Lee, In-Nea Wang, Junho Jeong
International Conference on Knowledge and Smart Technology (KST 2026), IEEE, pp. 350–355
Smart Home Anomaly Detection using K-Means Dynamic Threshold and Isolation Forest based on Multi-Sensor Data
Hyungsuk Lee*, Yewon Kim*, In-Nea Wang, Junho Jeong (*equal contribution)
Proceedings of KIIS Autumn Conference 2025, 35(2):286–287. In Korean. Outstanding Paper Award.
News
- Oct 2026Our smart-home anomaly detection paper was published in the Journal of KIIS 36(5).
- Oct 2026Our anomaly detection system was registered as a computer program with the Korea Copyright Commission.
- Jan 2026I presented Daily Life Pattern Extraction in Single Person Households at KST 2026 in Pattaya, Thailand.
- Nov 2025Our KIIS 2025 Autumn Conference paper received an Outstanding Paper Award.