| Hetero-convlstm: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data Z Yuan, X Zhou, T Yang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 404 | 2018 |
| Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification Z Yuan, Y Yan, M Sonka, T Yang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 132 | 2021 |
| Advanced graph and sequence neural networks for molecular property prediction and drug discovery Z Wang, M Liu, Y Luo, Z Xu, Y Xie, L Wang, L Cai, Q Qi, Z Yuan, T Yang, ... Bioinformatics 38 (9), 2579-2586, 2022 | 93 | 2022 |
| Stochastic auc maximization with deep neural networks M Liu, Z Yuan, Y Ying, T Yang International Conference on Learning Representations 2020 (ICLR2020), 2019 | 92 | 2019 |
| Predicting traffic accidents through heterogeneous urban data: A case study Z Yuan, X Zhou, T Yang, J Tamerius, R Mantilla Proceedings of the 6th international workshop on urban computing (UrbComp …, 2017 | 75 | 2017 |
| Stagewise training accelerates convergence of testing error over sgd Z Yuan, Y Yan, R Jin, T Yang Advances in Neural Information Processing Systems 33 (NeurIPS2019), 2018 | 68* | 2018 |
| Performance enhancing techniques for deep learning models in time series forecasting X Fang, Z Yuan Engineering Applications of Artificial Intelligence 85, 533-542, 2019 | 65 | 2019 |
| Universal stagewise learning for non-convex problems with convergence on averaged solutions Z Chen, Z Yuan, J Yi, B Zhou, E Chen, T Yang International Conference on Learning Representations (ICLR 2019), 2019 | 56 | 2019 |
| Communication-efficient distributed stochastic auc maximization with deep neural networks Z Guo, M Liu, Z Yuan, L Shen, W Liu, T Yang International conference on machine learning, 3864-3874, 2020 | 43 | 2020 |
| Fast objective & duality gap convergence for non-convex strongly-concave min-max problems with pl condition Z Guo, Y Yan, Z Yuan, T Yang Journal of Machine Learning Research 24 (148), 1-63, 2023 | 34* | 2023 |
| Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity Z Yuan, Z Guo, Y Xu, Y Ying, T Yang International Conference on Machine Learning 2021 (ICML2021), 2021 | 33 | 2021 |
| Compositional training for end-to-end deep AUC maximization Z Yuan, Z Guo, N Chawla, T Yang International Conference on Learning Representations, 2021 | 25 | 2021 |
| Provable stochastic optimization for global contrastive learning: Small batch does not harm performance Z Yuan, Y Wu, ZH Qiu, X Du, L Zhang, D Zhou, T Yang International Conference on Machine Learning, 25760-25782, 2022 | 19 | 2022 |
| Memory-based optimization methods for model-agnostic meta-learning and personalized federated learning B Wang, Z Yuan, Y Ying, T Yang Journal of Machine Learning Research 24 (145), 1-46, 2023 | 16* | 2023 |
| On the convergence of (stochastic) gradient descent with extrapolation for non-convex optimization Y Xu, Z Yuan, S Yang, R Jin, T Yang International Joint Conference on Artificial Intelligence 28 (IJCAI2019), 2019 | 16 | 2019 |
| Not all semantics are created equal: Contrastive self-supervised learning with automatic temperature individualization ZH Qiu, Q Hu, Z Yuan, D Zhou, L Zhang, T Yang arXiv preprint arXiv:2305.11965, 2023 | 12 | 2023 |
| LibAUC: A Deep Learning Library for X-Risk Optimization Z Yuan, D Zhu, ZH Qiu, G Li, X Wang, T Yang arXiv preprint arXiv:2306.03065, 2023 | 9 | 2023 |
| Learnable defect detection for semiconductor applications J Zhang, Z Yuan, Y Dong, K Bhaskar US Patent 11,551,348, 2023 | 9 | 2023 |
| Cycling-net: A deep learning approach to predicting cyclist behaviors from geo-referenced egocentric video data Y Ding, X Zhou, H Bao, Y Li, C Hamann, S Spears, Z Yuan Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 7 | 2020 |
| Development of a micro aerial vehicle M Behniapoor, Z Yuan, A Hailemichael, K Vinh, B Bowles, A Karimoddini, ... 2016 World Automation Congress (WAC), 1-6, 2016 | 7 | 2016 |
Tianbao YangTexas A&M University在 tamu.edu 的电子邮件经过验证
