| Least squares generative adversarial networks X Mao, Q Li, H Xie, RYK Lau, Z Wang, S Paul Smolley Proceedings of the IEEE international conference on computer vision, 2794-2802, 2017 | 6358 | 2017 |
| Multi-class generative adversarial networks with the L2 loss function X Mao, Q Li, H Xie, RYK Lau, Z Wang arXiv preprint arXiv:1611.04076 5, 00102, 2016 | 285 | 2016 |
| Sentiment topic models for social emotion mining Y Rao, Q Li, X Mao, L Wenyin Information Sciences 266, 90-100, 2014 | 190 | 2014 |
| Generative semi-supervised learning for multivariate time series imputation X Miao, Y Wu, J Wang, Y Gao, X Mao, J Yin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8983-8991, 2021 | 168 | 2021 |
| Image-to-image translation via hierarchical style disentanglement X Li, S Zhang, J Hu, L Cao, X Hong, X Mao, F Huang, Y Wu, R Ji Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 150 | 2021 |
| Community-aware user profile enrichment in folksonomy H Xie, Q Li, X Mao, X Li, Y Cai, Y Rao Neural Networks 58, 111-121, 2014 | 91 | 2014 |
| Proceedings of the IEEE international conference on computer vision X Mao, Q Li, H Xie, RY Lau, Z Wang, SP Smolley Least squares generative adversarial networks, 2794-2802, 2017 | 61 | 2017 |
| Virtual mixup training for unsupervised domain adaptation X Mao, Y Ma, Z Yang, Y Chen, Q Li arXiv preprint arXiv:1905.04215, 2019 | 55 | 2019 |
| Multi-task learning for abstractive and extractive summarization Y Chen, Y Ma, X Mao, Q Li Data Science and Engineering 4, 14-23, 2019 | 51 | 2019 |
| Revisiting discriminator in gan compression: A generator-discriminator cooperative compression scheme S Li, J Wu, X Xiao, F Chao, X Mao, R Ji Advances in Neural Information Processing Systems 34, 28560-28572, 2021 | 44 | 2021 |
| Mining latent user community for tag-based and content-based search in social media H Xie, Q Li, X Mao, X Li, Y Cai, Q Zheng The Computer Journal 57 (9), 1415-1430, 2014 | 36 | 2014 |
| The residual generator: An improved divergence minimization framework for GAN AT Gnanha, W Cao, X Mao, S Wu, HS Wong, Q Li Pattern Recognition 121, 108222, 2022 | 25 | 2022 |
| Aligngan: Learning to align cross-domain images with conditional generative adversarial networks X Mao, Q Li, H Xie arXiv preprint arXiv:1707.01400, 2017 | 22 | 2017 |
| Generative adversarial networks for image generation X Mao, Q Li Springer, 2021 | 20 | 2021 |
| Efficient path query processing through cloud-based mapping services D Zhang, Y Liu, A Liu, X Mao, Q Li IEEE Access 5, 12963-12973, 2017 | 20 | 2017 |
| Unpaired multi-domain image generation via regularized conditional GANs X Mao, Q Li arXiv preprint arXiv:1805.02456, 2018 | 19 | 2018 |
| Context-aware personalized search based on user and resource profiles in folksonomies H Xie, Q Li, X Mao Web Technologies and Applications: 14th Asia-Pacific Web Conference, APWeb …, 2012 | 17 | 2012 |
| αβ-GAN: Robust generative adversarial networks AT Gnanha, W Cao, X Mao, S Wu, HS Wong, Q Li Information Sciences 593, 177-200, 2022 | 11 | 2022 |
| Recipe popularity prediction based on the analysis of social reviews X Mao, Y Rao, Q Li 2013 International Joint Conference on Awareness Science and Technology …, 2013 | 10 | 2013 |
| Cycle encoding of a StyleGAN encoder for improved reconstruction and editability X Mao, L Cao, AT Gnanha, Z Yang, Q Li, R Ji Proceedings of the 30th ACM International Conference on Multimedia, 2032-2041, 2022 | 8 | 2022 |
