| Always-on 12-nW acoustic sensing and object recognition microsystem for unattended ground sensor nodes S Jeong, Y Chen, T Jang, JML Tsai, D Blaauw, HS Kim, D Sylvester IEEE Journal of Solid-State Circuits 53 (1), 261-274, 2017 | 69 | 2017 |
| Deep learning in latent space for video prediction and compression B Liu, Y Chen, S Liu, HS Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 63 | 2021 |
| An 879gops 243mw 80fps vga fully visual cnn-slam processor for wide-range autonomous exploration Z Li, Y Chen, L Gong, L Liu, D Sylvester, D Blaauw, HS Kim 2019 IEEE International Solid-State Circuits Conference-(ISSCC), 134-136, 2019 | 57 | 2019 |
| 17.2 A 142nW voice and acoustic activity detection chip for mm-scale sensor nodes using time-interleaved mixer-based frequency scanning M Cho, S Oh, Z Shi, J Lim, Y Kim, S Jeong, Y Chen, D Blaauw, HS Kim, ... 2019 IEEE International Solid-State Circuits Conference-(ISSCC), 278-280, 2019 | 50 | 2019 |
| An acoustic signal processing chip with 142-nW voice activity detection using mixer-based sequential frequency scanning and neural network classification S Oh, M Cho, Z Shi, J Lim, Y Kim, S Jeong, Y Chen, R Rothe, D Blaauw, ... IEEE Journal of Solid-State Circuits 54 (11), 3005-3016, 2019 | 47 | 2019 |
| 21.6 A 12nW always-on acoustic sensing and object recognition microsystem using frequency-domain feature extraction and SVM classification S Jeong, Y Chen, T Jang, J Tsai, D Blaauw, HS Kim, D Sylvester 2017 IEEE International Solid-State Circuits Conference (ISSCC), 362-363, 2017 | 32 | 2017 |
| Efficient deep visual and inertial odometry with adaptive visual modality selection M Yang, Y Chen, HS Kim European Conference on Computer Vision, 233-250, 2022 | 16 | 2022 |
| A dual-stage, ultra-low-power acoustic event detection system Y Chen, M Cho, S Jeong, D Blaauw, D Sylvester, HS Kim 2016 IEEE International Workshop on Signal Processing Systems (SiPS), 213-218, 2016 | 12 | 2016 |
| An end-to-end deep learning framework for multiple audio source separation and localization Y Chen, B Liu, Z Zhang, HS Kim ICASSP 2022-2022 IEEE international conference on acoustics, speech and …, 2022 | 9 | 2022 |
| Mmvc: Learned multi-mode video compression with block-based prediction mode selection and density-adaptive entropy coding B Liu, Y Chen, RC Machineni, S Liu, HS Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 6 | 2023 |
| 29.3 An 8.09 TOPS/W Neural Engine Leveraging Bit-Sparsified Sign-Magnitude Multiplications and Dual Adder Trees H An, Y Chen, Z Fan, Q Zhang, P Abillama, HS Kim, D Blaauw, ... 2023 IEEE International Solid-State Circuits Conference (ISSCC), 422-424, 2023 | 4 | 2023 |
| Search for efficient deep visual-inertial odometry through neural architecture search Y Chen, M Yang, HS Kim ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Htnn: Deep learning in heterogeneous transform domains with sparse-orthogonal weights Y Chen, B Liu, P Abillama, HS Kim 2021 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2021 | 2 | 2021 |
| Energy Efficient Computations Using Bit-Sparse Data Representations KIM Hun-Seok, David Blaauw, Dennis Sylvester, Yu Chen, Pierre Abillama ... US Patent App. 17/872,715, 2024 | | 2024 |
| Hardware efficient weight structure for sparse deep neural networks Dennis Sylvester, David Blaauw, Yu Chen, Pierre Abillama, KIM Hun-Seok US Patent App. 17/674,470, 2023 | | 2023 |
| SONA: An Accelerator for Transform-Domain Neural Networks with Sparse-Orthogonal Weights P Abillama, Z Fan, Y Chen, H An, Q Zhang, S Choi, D Blaauw, D Sylvester, ... 2023 IEEE 34th International Conference on Application-specific Systems …, 2023 | | 2023 |
| Low-Power Localization Systems with Hardware-Efficient Deep Neural Networks Y Chen | | 2023 |
