| HD-CNN: hierarchical deep convolutional neural networks for large scale visual recognition Z Yan, H Zhang, R Piramuthu, V Jagadeesh, D DeCoste, W Di, Y Yu Proceedings of the IEEE international conference on computer vision, 2740-2748, 2015 | 479* | 2015 |
| Poseidon: An efficient communication architecture for distributed deep learning on {GPU} clusters H Zhang, Z Zheng, S Xu, W Dai, Q Ho, X Liang, Z Hu, J Wei, P Xie, ... 2017 USENIX Annual Technical Conference (USENIX ATC 17), 181-193, 2017 | 341* | 2017 |
| Geeps: Scalable deep learning on distributed gpus with a gpu-specialized parameter server H Cui, H Zhang, GR Ganger, PB Gibbons, EP Xing Proceedings of the eleventh european conference on computer systems, 1-16, 2016 | 328 | 2016 |
| Automatic Photo Adjustment Using Deep Neural Networks Z Yan, H Zhang, B Wang, S Paris, Y Yu ACM Transactions on Graphics (TOG) 35 (2), 2016 | 242 | 2016 |
| Scan: Structure correcting adversarial network for organ segmentation in chest x-rays W Dai, N Dong, Z Wang, X Liang, H Zhang, EP Xing Deep learning in medical image analysis and multimodal learning for clinical …, 2018 | 195 | 2018 |
| Recurrent topic-transition gan for visual paragraph generation X Liang, Z Hu, H Zhang, C Gan, EP Xing Proceedings of the IEEE international conference on computer vision, 3362-3371, 2017 | 186 | 2017 |
| Symbolic graph reasoning meets convolutions X Liang, Z Hu, H Zhang, L Lin, EP Xing Advances in Neural Information Processing Systems 31, 2018 | 114 | 2018 |
| Generative semantic manipulation with mask-contrasting gan X Liang, H Zhang, L Lin, E Xing Proceedings of the European Conference on Computer Vision (ECCV), 558-573, 2018 | 81* | 2018 |
| A tensor-based scheme for stroke patients’ motor imagery EEG analysis in BCI-FES rehabilitation training Y Liu, M Li, H Zhang, H Wang, J Li, J Jia, Y Wu, L Zhang Journal of neuroscience methods 222, 238-249, 2014 | 67 | 2014 |
| Structured generative adversarial networks Z Deng, H Zhang, X Liang, L Yang, S Xu, J Zhu, EP Xing Advances in neural information processing systems 30, 2017 | 58 | 2017 |
| Dynamic topic modeling for monitoring market competition from online text and image data H Zhang, G Kim, EP Xing Proceedings of the 21th ACM SIGKDD international conference on knowledge …, 2015 | 54 | 2015 |
| A Boosting-Based Spatial-Spectral Model for Stroke Patients' EEG Analysis in Rehabilitation Training Y Liu, H Zhang, M Chen, L Zhang Transactions on Neural Systems and Rehabilitation Engineering, 2015 | 50 | 2015 |
| Toward understanding the impact of staleness in distributed machine learning W Dai, Y Zhou, N Dong, H Zhang, EP Xing arXiv preprint arXiv:1810.03264, 2018 | 43 | 2018 |
| Combining the best of convolutional layers and recurrent layers: A hybrid network for semantic segmentation Z Yan, H Zhang, Y Jia, T Breuel, Y Yu arXiv preprint arXiv:1603.04871, 2016 | 38 | 2016 |
| Zm-net: Real-time zero-shot image manipulation network H Wang, X Liang, H Zhang, DY Yeung, EP Xing arXiv preprint arXiv:1703.07255, 2017 | 35 | 2017 |
| Autoloss: Learning discrete schedules for alternate optimization H Xu, H Zhang, Z Hu, X Liang, R Salakhutdinov, E Xing arXiv preprint arXiv:1810.02442, 2018 | 29 | 2018 |
| Pollux: Co-adaptive cluster scheduling for goodput-optimized deep learning A Qiao, SK Choe, SJ Subramanya, W Neiswanger, Q Ho, H Zhang, ... 15th {USENIX} Symposium on Operating Systems Design and Implementation …, 2021 | 26 | 2021 |
| Learning Concept Taxonomies from Multi-modal Data H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing the Annual Meeting of the Association for Computational Linguistics (ACL), 2016 | 24 | 2016 |
| Terapipe: Token-level pipeline parallelism for training large-scale language models Z Li, S Zhuang, S Guo, D Zhuo, H Zhang, D Song, I Stoica International Conference on Machine Learning, 6543-6552, 2021 | 19 | 2021 |
| Cavs: An efficient runtime system for dynamic neural networks S Xu, H Zhang, G Neubig, W Dai, JK Kim, Z Deng, Q Ho, G Yang, EP Xing 2018 USENIX Annual Technical Conference (USENIX ATC 18), 937-950, 2018 | 18* | 2018 |
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon U在 cs.cmu.edu 的电子邮件经过验证
