Extracting gait velocity and stride length from surrounding radio signals CY Hsu, Y Liu, Z Kabelac, R Hristov, D Katabi, C Liu Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 136 | 2017 |
Content-Aware GAN Compression Y Liu, Z Shu, Y Li, Z Lin, F Perazzi, SY Kung Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
3d-fm gan: Towards 3d-controllable face manipulation Y Liu, Z Shu, Y Li, Z Lin, R Zhang, SY Kung European Conference on Computer Vision, 107-125, 2022 | 26 | 2022 |
Rethinking Class-Discrimination Based CNN Channel Pruning Y Liu, D Wentzlaff, SY Kung arXiv preprint arXiv:2004.14492, 2020 | 13 | 2020 |
Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm SY Kung, Z Hou, Y Liu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
Class-Discriminative CNN Compression Y Liu, D Wentzlaff, SY Kung 2022 26th International Conference on Pattern Recognition (ICPR), 2070-2077, 2022 | 2 | 2022 |
Evolving transferable neural pruning functions Y Liu, SY Kung, D Wentzlaff Proceedings of the Genetic and Evolutionary Computation Conference, 385-394, 2022 | 2 | 2022 |
SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model Z Li, Y Kang, Y Liu, D Liu, T Hinz, F Liu, Y Wang arXiv preprint arXiv:2406.00195, 2024 | | 2024 |
Personalized Residuals for Concept-Driven Text-to-Image Generation C Ham, M Fisher, J Hays, N Kolkin, Y Liu, R Zhang, T Hinz arXiv preprint arXiv:2405.12978, 2024 | | 2024 |
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Models H Wang, D Liu, Y Kang, Y Li, Z Lin, NK Jha, Y Liu arXiv preprint arXiv:2405.05252, 2024 | | 2024 |
Building Efficient Neural Prefetcher Y Liu, G Tziantzioulis, D Wentzlaff Proceedings of the International Symposium on Memory Systems, 1-12, 2023 | | 2023 |