| Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array J Kim, J Koo, T Kim, Y Kim, H Kim, S Yoo, JJ Kim 2019 Symposium on VLSI Circuits, C118-C119, 2019 | 82 | 2019 |
| BitBlade: Area and energy-efficient precision-scalable neural network accelerator with bitwise summation S Ryu, H Kim, W Yi, JJ Kim Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019 | 76 | 2019 |
| Improved Synapse Device With MLC and Conductance Linearity Using Quantized Conduction for Neuromorphic Systems S Lim, C Sung, H Kim, T Kim, J Song, JJ Kim, H Hwang IEEE Electron Device Letters 39 (2), 312-315, 2018 | 67 | 2018 |
| BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations H Kim, K Kim, J Kim, JJ Kim 2020 International Conference on Learning Representations (ICLR), 2020 | 54 | 2020 |
| Effect of conductance linearity and multi-level cell characteristics of TaOx-based synapse device on pattern recognition accuracy of neuromorphic system C Sung, S Lim, H Kim, T Kim, K Moon, J Song, JJ Kim, H Hwang Nanotechnology 29 (11), 115203, 2018 | 47 | 2018 |
| Input Voltage Mapping Optimized for Resistive Memory-Based Deep Neural Network Hardware T Kim, H Kim, J Kim, JJ Kim IEEE Electron Device Letters 38 (9), 1228-1231, 2017 | 47 | 2017 |
| Improving Accuracy of Binary Neural Networks using Unbalanced Activation Distribution H Kim, J Park, C Lee, JJ Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models C Lee, J Jin, T Kim, H Kim, E Park arXiv preprint arXiv:2306.02272, 2023 | 40* | 2023 |
| Input-splitting of large neural networks for power-efficient accelerator with resistive crossbar memory array Y Kim, H Kim, D Ahn, JJ Kim Proceedings of the International Symposium on Low Power Electronics and …, 2018 | 36 | 2018 |
| Deep neural network optimized to resistive memory with nonlinear current-voltage characteristics H Kim, T Kim, J Kim, JJ Kim ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 15, 2018 | 28 | 2018 |
| BitBlade: Energy-Efficient Variable Bit-Precision Hardware Accelerator for Quantized Neural Networks S Ryu, H Kim, W Yi, E Kim, Y Kim, T Kim, JJ Kim IEEE Journal of Solid-State Circuits 57 (6), 1924-1935, 2022 | 26 | 2022 |
| Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays H Kim, M Rasch, T Gokmen, T Ando, H Miyazoe, JJ Kim, J Rozen, S Kim arXiv preprint arXiv:1907.10228, 2019 | 21 | 2019 |
| Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators Y Kim, H Kim, JJ Kim arXiv preprint arXiv:1811.02187, 2018 | 21 | 2018 |
| In-memory batch-normalization for resistive memory based binary neural network hardware H Kim, Y Kim, JJ Kim Proceedings of the 24th Asia and South Pacific Design Automation Conference …, 2019 | 20 | 2019 |
| Time-delayed convolutions for neural network device and method S Kim, J Kim, KIM Yulhwa, J Kim, D Park, H Kim US Patent 11,521,046, 2022 | 16 | 2022 |
| Energy-efficient XNOR-free in-memory BNN accelerator with input distribution regularization H Kim, H Oh, JJ Kim Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020 | 15 | 2020 |
| Algorithm/Hardware Co-Design for In-Memory Neural Network Computing with Minimal Peripheral Circuit Overhead H Kim, Y Kim, S Ryu, JJ Kim 2020 57th ACM/IEEE Design Automation Conference (DAC), 1-6, 2020 | 12 | 2020 |
| A 44.1 TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS S Ryu, H Kim, W Yi, J Koo, E Kim, Y Kim, T Kim, JJ Kim 2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020 | 12 | 2020 |
| Temporal dynamic quantization for diffusion models J So, J Lee, D Ahn, H Kim, E Park Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| Extreme Partial-Sum Quantization for Analog Computing-In-Memory Neural Network Accelerators Y Kim, H Kim, JJ Kim ACM Journal on Emerging Technologies in Computing Systems (JETC) 18 (4), 1-19, 2022 | 6 | 2022 |
Jae-Joon KimProfessor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
Jae-Joon KimProfessor, Seoul National University在 snu.ac.kr 的电子邮件经过验证
Yulhwa KimSungkyunkwan University在 skku.edu 的电子邮件经过验证
Taesu KimSqueezeBits Inc.在 squeezebits.com 的电子邮件经过验证