| Adabelief optimizer: Adapting stepsizes by the belief in observed gradients J Zhuang, T Tang, Y Ding, SC Tatikonda, N Dvornek, X Papademetris, ... Advances in neural information processing systems 33, 18795-18806, 2020 | 687 | 2020 |
| A Semi-Supervised Two-Stage Approach to Learning from Noisy Labels Y Ding, L Wang, D Fan, B Gong IEEE Winter Conf. on Applications of Computer Vision, 2018 | 130 | 2018 |
| Learning raw image denoising with bayer pattern unification and bayer preserving augmentation J Liu, CH Wu, Y Wang, Q Xu, Y Zhou, H Huang, C Wang, S Cai, Y Ding, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 63 | 2019 |
| Self-supervised learning for audio-visual speaker diarization Y Ding, Y Xu, SX Zhang, Y Cong, L Wang 45th International Conference on Acoustics, Speech, and Signal Processing …, 2020 | 40 | 2020 |
| Defending against adversarial attacks using random forest Y Ding, L Wang, H Zhang, J Yi, D Fan, B Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Frame-recurrent video inpainting by robust optical flow inference Y Ding, C Wang, H Huang, J Liu, J Wang, L Wang arXiv preprint arXiv:1905.02882, 2019 | 20 | 2019 |
| Real-time defog model based on visible and near-infrared information Z Jingyun, D Yifan, Y Yi, S Jiasong 2016 IEEE international conference on multimedia & expo workshops (ICMEW), 1-6, 2016 | 14 | 2016 |
| Cosmos world foundation model platform for physical ai N Agarwal, A Ali, M Bala, Y Balaji, E Barker, T Cai, P Chattopadhyay, ... arXiv preprint arXiv:2501.03575, 2025 | 13 | 2025 |
| Assessing the quality of experience of HTTP video streaming considering the effects of pause position R Wang, Y Geng, Y Ding, Y Yang, W Li The 16th Asia-Pacific Network Operations and Management Symposium, 1-4, 2014 | 11 | 2014 |
| Analyzing deep neural network's transferability via Frechet distance Y Ding, L Wang, B Gong Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 10 | 2021 |
| Momentum centering and asynchronous update for adaptive gradient methods J Zhuang, Y Ding, T Tang, N Dvornek, SC Tatikonda, J Duncan Advances in Neural Information Processing Systems 34, 28249-28260, 2021 | 9 | 2021 |
| Adabelief optimizer: Adapting stepsizes by the belief in observed gradients. arXiv 2020 J Zhuang, T Tang, Y Ding, S Tatikonda, N Dvornek, X Papademetris, ... arXiv preprint arXiv:2010.07468, 0 | 8 | |
| AdaBelief optimizer: Adapting stepsizes by the belief in observed gradients. arXiv J Zhuang, T Tang, Y Ding, S Tatikonda, N Dvornek, X Papademetris, ... arXiv preprint arXiv:2010.07468, 2020 | 7 | 2020 |
| AdaBelief optimizer: adapting stepsizes by the belief in observed gradients. 2020 J Zhuang, T Tang, Y Ding, S Tatikonda, N Dvornek, X Papademetris, ... arXiv preprint arXiv:2010.07468, 2010 | 7 | 2010 |
| QoE-oriented resource management strategy by considering user preference for video content Y Ding, Y Geng, R Wang, Y Yang, W Li The 16th Asia-Pacific Network Operations and Management Symposium, 1-4, 2014 | 6 | 2014 |
| AdaBelief Optimizer: Adapting Stepsizes by theBelief in Observed Gradients J Zhuang, NC Dvornek, Y Ding, X Papademetris, J s Duncan NeurIPS 2020 Workshop: Deep Learning through Information Geometry, 0 | | |
Liqiang WangProfessor of Computer Science, University of Central Floridaכתובת אימייל מאומתת בדומיין ucf.edu