Članki z zahtevami za javni dostop - Qionghai DaiVeč o tem
Ni na voljo nikjer: 128
A hierarchical fused fuzzy deep neural network for data classification
Y Deng, Z Ren, Y Kong, F Bao, Q Dai
IEEE Transactions on Fuzzy Systems 25 (4), 1006-1012, 2016
Zahteve: National Natural Science Foundation of China
Evaluation and development of deep neural networks for image super-resolution in optical microscopy
C Qiao, D Li, Y Guo, C Liu, T Jiang, Q Dai, D Li
Nature Methods 18 (2), 194-202, 2021
Zahteve: Chinese Academy of Sciences, National Natural Science Foundation of China
Fourier-space Diffractive Deep Neural Network
T Yan, J Wu, T Zhou, H Xie, F Xu, J Fan, L Fang, X Lin, Q Dai
Physical review letters 123 (2), 023901, 2019
Zahteve: National Natural Science Foundation of China
Cooperative deep reinforcement learning for large-scale traffic grid signal control
T Tan, F Bao, Y Deng, A Jin, Q Dai, J Wang
IEEE transactions on cybernetics 50 (6), 2687-2700, 2019
Zahteve: National Natural Science Foundation of China
Video-rate imaging of biological dynamics at centimetre scale and micrometre resolution
J Fan, J Suo, J Wu, H Xie, Y Shen, F Chen, G Wang, L Cao, G Jin, Q He, ...
Nature Photonics 13 (11), 809-816, 2019
Zahteve: National Natural Science Foundation of China
Residual highway convolutional neural networks for in-loop filtering in HEVC
Y Zhang, T Shen, X Ji, Y Zhang, R Xiong, Q Dai
IEEE Transactions on image processing 27 (8), 3827-3841, 2018
Zahteve: National Natural Science Foundation of China
Stretchable and Highly Sensitive Optical Strain Sensors for Human-Activity Monitoring and Healthcare
J Guo, B Zhou, R Zong, L Pan, X Li, X Yu, C Yang, L Kong, Q Dai
ACS applied materials & interfaces 11 (37), 33589-33598, 2019
Zahteve: National Natural Science Foundation of China
Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes
C Qiao, D Li, Y Liu, S Zhang, K Liu, C Liu, Y Guo, T Jiang, C Fang, N Li, ...
Nature biotechnology, 1-11, 2022
Zahteve: Howard Hughes Medical Institute, Chinese Academy of Sciences, National …
A fine-grained image categorization system by cellet-encoded spatial pyramid modeling
L Zhang, Y Gao, Y Xia, Q Dai, X Li
IEEE transactions on industrial electronics 62 (1), 564-571, 2014
Zahteve: Chinese Academy of Sciences, National Natural Science Foundation of China
Full-reference quality assessment of stereoscopic images by learning binocular receptive field properties
F Shao, K Li, W Lin, G Jiang, M Yu, Q Dai
IEEE Transactions on Image Processing 24 (10), 2971-2983, 2015
Zahteve: National Natural Science Foundation of China
Wearable and Skin‐Mountable Fiber‐Optic Strain Sensors Interrogated by a Free‐Running, Dual‐Comb Fiber Laser
J Guo, K Zhao, B Zhou, W Ning, K Jiang, C Yang, L Kong, Q Dai
Advanced Optical Materials 7 (12), 1900086, 2019
Zahteve: National Natural Science Foundation of China
Heterogeneous Hypergraph Variational Autoencoder for Link Prediction
H Fan, F Zhang, Y Wei, Z Li, C Zou, Y Gao, Q Dai
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Zahteve: National Natural Science Foundation of China
Adaptive residual networks for high-quality image restoration
Y Zhang, L Sun, C Yan, X Ji, Q Dai
IEEE Transactions on Image Processing 27 (7), 3150-3163, 2018
Zahteve: National Natural Science Foundation of China
Toward a blind deep quality evaluator for stereoscopic images based on monocular and binocular interactions
F Shao, W Tian, W Lin, G Jiang, Q Dai
IEEE Transactions on Image Processing 25 (5), 2059-2074, 2016
Zahteve: National Natural Science Foundation of China
STORM: Structure-based Overlap Matching for Partial Point Cloud Registration
Y Wang, C Yan, Y Feng, S Du, Q Dai, Y Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Zahteve: National Natural Science Foundation of China
Sparse coding-inspired optimal trading system for HFT industry
Y Deng, Y Kong, F Bao, Q Dai
IEEE Transactions on Industrial Informatics 11 (2), 467-475, 2015
Zahteve: National Natural Science Foundation of China
Learning receptive fields and quality lookups for blind quality assessment of stereoscopic images
F Shao, W Lin, S Wang, G Jiang, M Yu, Q Dai
IEEE transactions on cybernetics 46 (3), 730-743, 2015
Zahteve: National Natural Science Foundation of China
Learning blind quality evaluator for stereoscopic images using joint sparse representation
F Shao, K Li, W Lin, G Jiang, Q Dai
IEEE Transactions on Multimedia 18 (10), 2104-2114, 2016
Zahteve: National Natural Science Foundation of China
Learning deep landmarks for imbalanced classification
F Bao, Y Deng, Y Kong, Z Ren, J Suo, Q Dai
IEEE transactions on neural networks and learning systems 31 (8), 2691-2704, 2019
Zahteve: National Natural Science Foundation of China
Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction
D Di, C Zou, Y Feng, H Zhou, R Ji, Q Dai, Y Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Zahteve: National Natural Science Foundation of China
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