(*) co-corresponding authors
2026
International Conference
[DAC] Adaptive Spiking Neural Networks for Real-Time Multi-Object Detection Tasks
Donghwa Kang, Woojin Shin, Cheol-Ho Hong, Brent Byunghoon Kang, Jinkyu Lee, and Hyeongboo Baek
Design Automation Conference, (BK21 IF3, acceptance ratio: 22.3%)[AAAI] Timestep-Compressed Attack on Spiking Neural Networks through Timestep-Level Backpropagation
Donghwa Kang, Doohyun Kim, Sang-Ki Ko, Jinkyu Lee, Hyeongboo Baek*, and Brent Byunghoon Kang*
Association for the Advancement of Artificial Intelligence, (BK21 IF4, acceptance ratio: 17.6%)
Others
[AAAI] Reinforcement-Learned Dynamic Execution for Spiking Swin-B
Daye Kang, Donghun Kang, and Hyeongboo Baek
Association for the Advancement of Artificial Intelligence (Workshop on Neuromorphic Intelligence)[AAAI] Adaptive Spiking Transformer for SAR Image Classification
Donghun Kang, Daye Kang, and Hyeongboo Baek
Association for the Advancement of Artificial Intelligence (Workshop on Neuromorphic Intelligence)Adaptive Spiking Transformer for SAR Image Classification
Donghun Kang, Jaehoon Choi, Wonho Yoon, and Hyeongboo Baek
Joint Conference on Communications and InformationCR-QAT: Curriculum Relational Quantization-Aware Training for Open-Vocabulary Object Detection
Jinyeong Park, Donghwa Kang, Brent Byunghoon Kang, Hyeongboo Baek*, and Jibum Kim*
Arxiv preprint.SPOILER: TEE-Shielded DNN Partitioning of On-Device Secure Inference with Poison Learning
Donghwa Kang, Hojun Choe, Doohyun Kim, Hyeongboo Baek*, and Brent Byunghoon Kang*
Arxiv preprint.Zero2Text: Zero-Training Cross-Domain Inversion Attacks on Textual Embeddings
Doohyun Kim, Donghwa Kang, Kyungjae Lee, Hyeongboo Baek*, and Brent Byunghoon Kang*
Arxiv preprint.