Zhuoning Yuan
Zhuoning Yuan
Machine Learning Scientist, Netflix
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Zitiert von
Zitiert von
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
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
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
Stochastic auc maximization with deep neural networks
M Liu, Z Yuan, Y Ying, T Yang
International Conference on Learning Representations 2020 (ICLR2020), 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
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
Performance enhancing techniques for deep learning models in time series forecasting
X Fang, Z Yuan
Engineering Applications of Artificial Intelligence 85, 533-542, 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
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
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition.
Z Guo, Y Yan, Z Yuan, T Yang
J. Mach. Learn. Res. 24, 148:1-148:63, 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
Compositional training for end-to-end deep AUC maximization
Z Yuan, Z Guo, N Chawla, T Yang
International Conference on Learning Representations, 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
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
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning.
B Wang, Z Yuan, Y Ying, T Yang
J. Mach. Learn. Res. 24, 145:1-145:46, 2023
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
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
Learnable defect detection for semiconductor applications
J Zhang, Z Yuan, Y Dong, K Bhaskar
US Patent 11,551,348, 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
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
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