| A generative adversarial network for artifact removal in photoacoustic computed tomography with a linear-array transducer T Vu, M Li, H Humayun, Y Zhou, J Yao Experimental Biology and Medicine 245 (7), 597-605, 2020 | 115 | 2020 |
| Linear bandits with limited adaptivity and learning distributional optimal design Y Ruan, J Yang, Y Zhou Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021 | 62 | 2021 |
| Thermal memory based photoacoustic imaging of temperature Y Zhou, M Li, W Liu, G Sankin, J Luo, P Zhong, J Yao Optica 6 (2), 198-205, 2019 | 57 | 2019 |
| Neural sparse representation for image restoration Y Fan, J Yu, Y Mei, Y Zhang, Y Fu, D Liu, TS Huang Advances in Neural Information Processing Systems 33, 15394-15404, 2020 | 36 | 2020 |
| High-fidelity and freely controllable talking head video generation Y Gao, Y Zhou, J Wang, X Li, X Ming, Y Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 33 | 2023 |
| Incorporating deep learning of load predictions to enhance the optimal active energy management of combined cooling, heating and power system Y Zhou, J Wang, Y Liu, R Yan, Y Ma Energy 233, 121134, 2021 | 32 | 2021 |
| Simultaneous photoacoustic imaging and cavitation mapping in shockwave lithotripsy M Li, B Lan, G Sankin, Y Zhou, W Liu, J Xia, D Wang, G Trahey, P Zhong, ... IEEE transactions on medical imaging 39 (2), 468-477, 2019 | 24 | 2019 |
| Correcting the limited view in optical‐resolution photoacoustic microscopy W Liu, Y Zhou, M Wang, L Li, E Vienneau, R Chen, J Luo, C Xu, Q Zhou, ... Journal of biophotonics 11 (2), e201700196, 2018 | 22 | 2018 |
| Depth image super-resolution based on joint sparse coding B Li, Y Zhou, Y Zhang, A Wang Pattern Recognition Letters 130, 21-29, 2020 | 21 | 2020 |
| Prediction of acute hypotensive episode in icu using chebyshev neural network. Y Zhou, Q Zhu, H Huang J. Softw. 8 (8), 1923-1931, 2013 | 21 | 2013 |
| Domain adaptive adversarial learning based on physics model feedback for underwater image enhancement Y Zhou, K Yan arXiv preprint arXiv:2002.09315, 2020 | 19 | 2020 |
| Automatic selection of regularization parameters for dynamic fluorescence molecular tomography: a comparison of L-curve and U-curve methods M Chen, H Su, Y Zhou, C Cai, D Zhang, J Luo Biomedical Optics Express 7 (12), 5021-5041, 2016 | 18 | 2016 |
| Deep-tissue temperature mapping by multi-illumination photoacoustic tomography aided by a diffusion optical model: a numerical study Y Zhou, E Tang, J Luo, J Yao Journal of Biomedical Optics 23 (1), 016014-016014, 2018 | 17 | 2018 |
| Self-prior strategy for organ reconstruction in fluorescence molecular tomography Y Zhou, M Chen, H Su, J Luo Biomedical optics express 8 (10), 4671-4686, 2017 | 13 | 2017 |
| Allegro: Open the black box of commercial-level video generation model Y Zhou, Q Wang, Y Cai, H Yang arXiv preprint arXiv:2410.15458, 2024 | 12 | 2024 |
| Unmixing multiple adjacent fluorescent targets with multispectral excited fluorescence molecular tomography Y Zhou, H Guang, H Pu, J Zhang, J Luo Applied Optics 55 (18), 4843-4849, 2016 | 8 | 2016 |
| Facilitating in vivo tumor localization by principal component analysis based on dynamic fluorescence molecular imaging Y Gao, M Chen, J Wu, Y Zhou, C Cai, D Wang, J Luo Journal of biomedical optics 22 (9), 096010-096010, 2017 | 7 | 2017 |
| ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression Y Wan, Y Zhou, X Peng, KW Chang, Y Lu arXiv preprint arXiv:2305.16665, 2023 | 5 | 2023 |
| Time-variance aware dynamic kernel generation for real-time acoustic echo cancellation C Zheng, Y Zhou, X Peng, Y Zhang, Y Lu IEEE Signal Processing Letters 29, 967-971, 2022 | 5 | 2022 |
| Real-time speech enhancement with dynamic attention span C Zheng, Y Zhou, X Peng, Y Zhang, Y Lu ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Jianwen LuoProfessor of Biomedical Engineering, Tsinghua UniversityVerified email at tsinghua.edu.cn
