An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors. - Phuoc Duc Nguyen; Quang Hieu Vo; Linh Ngoc Le; SeokJin Eo; Lokwon Kim (Sensors, 2020)

A Deep Learning Accelerator Based on a Streaming Architecture for Binary Neural Networks. - Quang Hieu Vo; Linh Ngoc Le; Faaiz Asim; Lok-Won Kim; Choong Seon Hong (IEEE Access, 2022)

Distribution Matching with Multi-formation Function for Dataset Distillation. - Quang Hieu Vo; Choong Seon Hong (APNOMS, 2023)

MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. - Quang Hieu Vo; Linh-Tam Tran; Sung-Ho Bae; Lok-Won Kim; Choong Seon Hong (ICCV, 2023)

Integrated Optimization in Training Process for Binary Neural Network. - Quang Hieu Vo; Sang Hoon Hong; Lok-Won Kim; Choong Seon Hong (ICOIN, 2023)

Runtime Testability on Autonomous System. - Lok-Won Kim; Quang Hieu Vo; Choong Seon Hong (IEEE Trans. Reliab., 2023)

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (CoRR, 2024)

Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2025)