| Artificial van der Waals hybrid synapse and its application to acoustic pattern recognition S Seo, BS Kang, JJ Lee, HJ Ryu, S Kim, H Kim, S Oh, J Shim, K Heo, ... Nature communications 11 (1), 3936, 2020 | 146 | 2020 |
| Graphene-assisted spontaneous relaxation towards dislocation-free heteroepitaxy SH Bae, K Lu, Y Han, S Kim, K Qiao, C Choi, Y Nie, H Kim, HS Kum, ... Nature nanotechnology 15 (4), 272-276, 2020 | 98 | 2020 |
| A neuromorphic device implemented on a salmon‐DNA electrolyte and its application to artificial neural networks DH Kang, JH Kim, S Oh, HY Park, SR Dugasani, BS Kang, C Choi, R Choi, ... Advanced Science 6 (17), 1901265, 2019 | 43 | 2019 |
| Double negative differential transconductance characteristic: from device to circuit application toward quaternary inverter JH Lim, J Shim, BS Kang, G Shin, H Kim, M Andreev, KS Jung, KH Kim, ... Advanced Functional Materials 29 (48), 1905540, 2019 | 42 | 2019 |
| Monolithic 3D integration of 2D materials-based electronics towards ultimate edge computing solutions JH Kang, H Shin, KS Kim, MK Song, D Lee, Y Meng, C Choi, JM Suh, ... Nature materials 22 (12), 1470-1477, 2023 | 29 | 2023 |
| Genetic algorithm-based energy-aware CNN quantization for processing-in-memory architecture B Kang, A Lu, Y Long, D Kim, S Yu, S Mukhopadhyay IEEE Journal on Emerging and Selected Topics in Circuits and Systems 11 (4 …, 2021 | 9 | 2021 |
| MONETA: A processing-in-memory-based hardware platform for the hybrid convolutional spiking neural network with online learning D Kim, B Chakraborty, X She, E Lee, B Kang, S Mukhopadhyay Frontiers in Neuroscience 16, 775457, 2022 | 5 | 2022 |
| Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN B Chakraborty, B Kang, H Kumar, S Mukhopadhyay ICLR 2024, 2024 | 4 | 2024 |
| Unsupervised hebbian learning on point sets in starcraft ii B Kang, H Kumar, S Dash, S Mukhopadhyay IJCNN 2022, 2022 | 4 | 2022 |
| Forecasting Evolution of Clusters in Game Agents with Hebbian Learning B Kang, S Mukhopadhyay IJCNN 2023, 2023 | 1 | 2023 |
| Unsupervised 3D Object Learning through Neuron Activity aware Plasticity B Kang, B Chakraborty, S Mukhopadhyay ICLR 2023, 2023 | 1 | 2023 |
| Forecasting Local Behavior of Self-organizing Many-agent System without Reconstruction B Kang, M Lee, H Kumar, S Mukhopadhyay arXiv preprint arXiv:2210.17289, 2022 | 1 | 2022 |
| Learning Locally Interacting Discrete Dynamical Systems: Towards Data-Efficient and Scalable Prediction B Kang, H Kumar, M Lee, B Chakraborty, S Mukhopadhyay L4DC 2024, 2024 | | 2024 |
| HamQ: Hamming Weight-based Energy Aware Quantization for Analog Compute-In-Memory Accelerator in Intelligent Sensors S Sharma*, B Kang*, NV Kidambi, S Mukhopadhyay IEEE Sensors Journal, 2024 | | 2024 |
| Studying the Impact of Stochasticity on the Evaluation of Deep Neural Networks for Forest-Fire Prediction H Kumar, B Chakraborty, B Kang, S Mukhopadhyay arXiv preprint arXiv:2402.15163, 2024 | | 2024 |
| Energy-aware DNN Quantization for Processing-In-Memory Architecture B Kang Georgia Institute of Technology, 2022 | | 2022 |
| Recurrent Neural Cellular Automata with Self-Attention for Multi-agent System B Kang, H Kumar, M Lee, B Chakraborty, S Mukhopadhyay | | |
