| Deep direct reinforcement learning for financial signal representation and trading Y Deng, F Bao, Y Kong, Z Ren, Q Dai IEEE transactions on neural networks and learning systems 28 (3), 653-664, 2016 | 763 | 2016 |
| 3-D object retrieval and recognition with hypergraph analysis Y Gao, M Wang, D Tao, R Ji, Q Dai IEEE Transactions on Image Processing 21 (9), 4290-4303, 2012 | 618 | 2012 |
| Covariance discriminative learning: A natural and efficient approach to image set classification R Wang, H Guo, LS Davis, Q Dai 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2496-2503, 2012 | 536 | 2012 |
| Light field image processing: An overview G Wu, B Masia, A Jarabo, Y Zhang, L Wang, Q Dai, T Chai, Y Liu IEEE Journal of Selected Topics in Signal Processing 11 (7), 926-954, 2017 | 518 | 2017 |
| Efficient parallel framework for HEVC motion estimation on many-core processors C Yan, Y Zhang, J Xu, F Dai, J Zhang, Q Dai, F Wu IEEE Transactions on Circuits and Systems for Video Technology 24 (12), 2077 …, 2014 | 402 | 2014 |
| A highly parallel framework for HEVC coding unit partitioning tree decision on many-core processors C Yan, Y Zhang, J Xu, F Dai, L Li, Q Dai, F Wu IEEE Signal Processing Letters 21 (5), 573-576, 2014 | 363 | 2014 |
| WBSMDA: within and between score for MiRNA-disease association prediction X Chen, CC Yan, X Zhang, ZH You, L Deng, Y Liu, Y Zhang, Q Dai Scientific reports 6, 21106, 2016 | 353 | 2016 |
| STAT: Spatial-temporal attention mechanism for video captioning C Yan, Y Tu, X Wang, Y Zhang, X Hao, Y Zhang, Q Dai IEEE transactions on multimedia 22 (1), 229-241, 2019 | 335 | 2019 |
| 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 | 333 | 2016 |
| Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit T Zhou, X Lin, J Wu, Y Chen, H Xie, Y Li, J Fan, H Wu, L Fang, Q Dai Nature Photonics 15 (5), 367-373, 2021 | 323 | 2021 |
| Deephuman: 3d human reconstruction from a single image Z Zheng, T Yu, Y Wei, Q Dai, Y Liu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 302 | 2019 |
| Doublefusion: Real-time capture of human performances with inner body shapes from a single depth sensor T Yu, Z Zheng, K Guo, J Zhao, Q Dai, H Li, G Pons-Moll, Y Liu Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 297 | 2018 |
| Rank minimization for snapshot compressive imaging Y Liu, X Yuan, J Suo, DJ Brady, Q Dai IEEE transactions on pattern analysis and machine intelligence 41 (12), 2990 …, 2018 | 272 | 2018 |
| Spatial-spectral encoded compressive hyperspectral imaging X Lin, Y Liu, J Wu, Q Dai ACM Transactions on Graphics (TOG) 33 (6), 1-11, 2014 | 268 | 2014 |
| Supervised hash coding with deep neural network for environment perception of intelligent vehicles C Yan, H Xie, D Yang, J Yin, Y Zhang, Q Dai IEEE transactions on intelligent transportation systems 19 (1), 284-295, 2017 | 254 | 2017 |
| Camera constraint-free view-based 3-D object retrieval Y Gao, J Tang, R Hong, S Yan, Q Dai, N Zhang, TS Chua IEEE Transactions on Image Processing 21 (4), 2269-2281, 2011 | 248 | 2011 |
| A novel approach to fuzzy rough sets based on a fuzzy covering T Deng, Y Chen, W Xu, Q Dai Information Sciences 177 (11), 2308-2326, 2007 | 239 | 2007 |
| Computational snapshot multispectral cameras: Toward dynamic capture of the spectral world X Cao, T Yue, X Lin, S Lin, X Yuan, Q Dai, L Carin, DJ Brady IEEE Signal Processing Magazine 33 (5), 95-108, 2016 | 233 | 2016 |
| 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 | 220 | 2021 |
| Research on Compress Sensing 压缩感知研究 Q Dai, C Fu, X Ji, 戴琼海, 付长军, 季向阳 Journal of Computer Science 计算机学报 34 (3), 425-434, 2011 | 218* | 2011 |
Jinli SuoTsinghua UniversityZweryfikowany adres z tsinghua.edu.cn
