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[10] J, Jang†*, and S.-G. Gi, Recent Progress in Memristor Array‐Based Neuromorphic Computing for on‐Chip Vector‐Matrix Multiplication, Advanced Materials Technologies, 2026.
[9] S.-G. Gi†, A. Singh, and B.-G. Lee, Memristor-Based Neural Network Hardware with Hybrid Stochastic Neuron for Fully In-Situ Training, Neurocomputing, 2025.
[8] S. Ham†, J. Jang†, D. Koo, S.-G. Gi, D. Kim, S. Jang, ND. Kim, S. Bae, B.-G. Lee, C.-H. Lee, G. Wang, Artificial neuromodulator–synapse mimicked by a three-terminal vertical organic ferroelectric barristor for fast and energy-efficient neuromorphic computing, Nano Energy, 2024.
[7] J. Jang† , S.-G. Gi† , I. Yeo, S. Chio, S. Jang, S. Ham, B.-G. Lee, and G. Wang, A Learning‐Rate Modulable and Reliable TiOx Memristor Array for Robust, Fast, and Accurate Neuromorphic Computing, Advanced Science, 2022.
[6] S.-G. Gi, H. Lee, J. Jang, and B.-G. Lee, A ReRAM-based convolutional neural network accelerator using the analog layer normalization technique, IEEE Transactions on Industrial Electronics, 2022.
[5] I. Yeo, S.-G. Gi, G. Wang, and B.-G. Lee, A hardware and energy-efficient online learning neural network with an RRAM crossbar array and stochastic neurons, IEEE Transactions on Industrial Electronics, 2020.
[4] W. Choi, S.-G. Gi, D. Lee, S. Lim, C. Lee, B.-G. Lee, and H. Hwang, WOx-Based Synapse Device With Excellent Conductance Uniformity for Hardware Neural Networks, IEEE Transactions on Nanotechnology, 2020.
[3] I. Yeo, M. Chu, S.-G. Gi, H. Hwang, and B.-G. Lee, Stuck-at-Fault Tolerant Schemes for Memristor Crossbar Array-Based Neural Networks, IEEE Transactions on Electron Device, 2019.
[2] K. Moon, E. Cha, J. Park, S.-G. Gi, M. Chu, K. Baek, B.-G. Lee, S. Oh, and H. Hwang, Analog Synapse Device with 5-b MLC and Improved Data Retention for Neuromorphic System, IEEE Electron Device Letters, 2016.
[1] S.-G. Gi, I. Yeo, M. Chu, K. Moon, H. Hwang, and B.-G. Lee, Modeling and System-Level simulation for Nonideal Conductance Response of Synaptic Devices, IEEE Trans. Electron Devices, 2018.
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