| Variational deep embedding: An unsupervised and generative approach to clustering Z Jiang, Y Zheng, H Tan, B Tang, H Zhou International Joint Conferences on Artificial Intelligence, 2017 | 787 | 2017 |
| A neural autoregressive approach to collaborative filtering Y Zheng, B Tang, W Ding, H Zhou International Conference on Machine Learning, 2016, 2016 | 309 | 2016 |
| Dynamic capacity networks A Almahairi, N Ballas, T Cooijmans, Y Zheng, H Larochelle, A Courville International conference on machine learning, 2549-2558, 2016 | 143 | 2016 |
| A generic graph-based neural architecture encoding scheme for predictor-based nas X Ning, Y Zheng, T Zhao, Y Wang, H Yang | 102 | 2020 |
| Towards Fast Adaptation of Neural Architectures with Meta Learning D Lian*, Y Zheng*, Y Xu, Y Lu, L Lin, P Zhao, J Huang, S Gao International Conference on Learning Representations, 2020 | 98 | 2020 |
| Nat: Neural architecture transformer for accurate and compact architectures Y Guo, Y Zheng, M Tan, Q Chen, J Chen, P Zhao, J Huang NeurIPS, 2019, 2019 | 93 | 2019 |
| Topic modeling of multimodal data: an autoregressive approach Y Zheng, YJ Zhang, H Larochelle Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 85 | 2014 |
| 深度学习及其在目标和行为识别中的新进展 Y Zheng, Q Chen, YJ Zhang 中国图象图形学报 19 (2), 175-184, 2014 | 79* | 2014 |
| A deep and autoregressive approach for topic modeling of multimodal data Y Zheng, YJ Zhang, H Larochelle IEEE transactions on pattern analysis and machine intelligence 38 (6), 1056-1069, 2015 | 74 | 2015 |
| Breaking the curse of space explosion: Towards efficient nas with curriculum search Y Guo, Y Chen, Y Zheng, P Zhao, J Chen, J Huang, M Tan International Conference on Machine Learning, 3822-3831, 2020 | 70 | 2020 |
| Fast Single Image Reflection Suppression via Convex Optimization Y Yang, W Ma, Y Zheng, JF Cai, W Xu IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long …, 2019 | 68 | 2019 |
| Action recognition in still images using a combination of human pose and context information Y Zheng, YJ Zhang, X Li, BD Liu 2012 19th IEEE International Conference on Image Processing, 785-788, 2012 | 50 | 2012 |
| A neural autoregressive approach to attention-based recognition Y Zheng, RS Zemel, YJ Zhang, H Larochelle International Journal of Computer Vision 113, 67-79, 2015 | 39 | 2015 |
| Collaborative filtering with user-item co-autoregressive models C Du, C Li, Y Zheng, J Zhu, B Zhang Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 38 | 2018 |
| Towards accurate and compact architectures via neural architecture transformer Y Guo, Y Zheng, M Tan, Q Chen, Z Li, J Chen, P Zhao, J Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 6501 …, 2021 | 37 | 2021 |
| Variational deep embedding: A generative approach to clustering Z Jiang, Y Zheng, H Tan, B Tang, H Zhou CoRR, abs/1611.05148 1, 2016 | 36 | 2016 |
| Document neural autoregressive distribution estimation S Lauly, Y Zheng, H Larochelle Journal of Machine Learning Research 18 (113), 1-24, 2017 | 31 | 2017 |
| Discriminant sparse coding for image classification BD Liu, YX Wang, YJ Zhang, Y Zheng 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 25 | 2012 |
| FTT-NAS: Discovering fault-tolerant convolutional neural architecture X Ning, G Ge, W Li, Z Zhu, Y Zheng, X Chen, Z Gao, Y Wang, H Yang ACM Transactions on Design Automation of Electronic Systems (TODAES) 26 (6 …, 2021 | 18 | 2021 |
| Nonparametric topic modeling with neural inference X Ning, Y Zheng, Z Jiang, Y Wang, H Yang, J Huang, P Zhao Neurocomputing 399, 296-306, 2020 | 15 | 2020 |
Junzhou HuangJenkins Garrett Professor, Computer Science and Engineering, the University of Texas at Arlington在 uta.edu 的电子邮件经过验证
