| Filamentary and interface-type memristors based on tantalum oxide for energy-efficient neuromorphic hardware M Kim, MA Rehman, D Lee, Y Wang, DH Lim, MF Khan, H Choi, QY Shao, ... ACS applied materials & interfaces 14 (39), 44561-44571, 2022 | 52 | 2022 |
| QTTNet: Quantized tensor train neural networks for 3D object and video recognition D Lee, D Wang, Y Yang, L Deng, G Zhao, G Li Neural Networks 141, 420-432, 2021 | 34 | 2021 |
| Double-floating-gate van der Waals transistor for high-precision synaptic operations H Cho, D Lee, K Ko, DY Lin, H Lee, S Park, B Park, BC Jang, DH Lim, ... ACS nano 17 (8), 7384-7393, 2023 | 30 | 2023 |
| Wafer‐Scale Memristor Array Based on Aligned Grain Boundaries of 2D Molybdenum Ditelluride for Application to Artificial Synapses J Yang, A Yoon, D Lee, S Song, ILJ Jung, DH Lim, H Jeong, Z Lee, ... Advanced Functional Materials 34 (15), 2309455, 2024 | 19 | 2024 |
| Molecularly Reconfigurable Neuroplasticity of Layered Artificial Synapse Electronics DD Kumbhar, Y Je, S Hong, D Lee, H Kim, MJ Kwon, SY Cho, DH Lee, ... Advanced Functional Materials, 2311994, 2024 | 7 | 2024 |
| Forming-less flexible memristor crossbar array for neuromorphic computing applications produced using low-temperature atomic layer deposition M Kim, D Kim, Y Wang, D Lee, DH Lim, H Choi, I Kymissis, JJ Yang, J Suh, ... Applied Materials Today 38, 102204, 2024 | 6 | 2024 |
| Policy gradient-based core placement optimization for multichip many-core systems W Myung, D Lee, C Song, G Wang, C Ma IEEE Transactions on Neural Networks and Learning Systems 34 (8), 4529-4543, 2021 | 5 | 2021 |
| TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training D Lee, R Yin, Y Kim, A Moitra, Y Li, P Panda 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2024 | 4 | 2024 |
| Investigating Series and Parallel Oxide Memtransistors for Tunable Weight Update Properties SH Kang, S Yang, D Lee, S Kim, J Suh, HS Lee ACS Applied Electronic Materials 5 (6), 3232-3240, 2023 | 4 | 2023 |
| Qad-snn: Quantization-aware distillation on spiking neural network D Lee, G Li, H Jeong, DH Lim Korea Artificial Intelligence Conference (KAIC), 2022 | 1 | 2022 |
| GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Y Li, Y Kim, D Lee, S Kundu, P Panda European Conference on Computer Vision, 216-235, 2025 | | 2025 |
| Spiking Transformer with Spatial-Temporal Attention D Lee, Y Li, Y Kim, S Xiao, P Panda arXiv preprint arXiv:2409.19764, 2024 | | 2024 |
| ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action Recognition S Xiao, Y Li, Y Kim, D Lee, P Panda arXiv preprint arXiv:2409.01564, 2024 | | 2024 |
Joonki SuhUNIST | Ulsan National Institute of Science and TechnologyVerified email at unist.ac.kr
