Общедоступные статьи - Tianbao YangПодробнее...
2 статьи недоступны нигде
Continuous amperometric hydrogen gas sensing in ionic liquids
Y Tang, J He, X Gao, T Yang, X Zeng
Analyst 143 (17), 4136-4146, 2018
Финансирование: US National Institutes of Health
A multisource domain generalization approach to visual attribute detection
C Gan, T Yang, B Gong
Domain Adaptation in Computer Vision Applications, 277-289, 2017
Финансирование: US National Science Foundation, National Natural Science Foundation of China
101 статья доступна в некоторых источниках
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
Финансирование: US National Science Foundation
Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning
H Rafique, M Liu, Q Lin, T Yang
Optimization Methods and Software 37 (3), 1087-1121, 2022
Финансирование: US National Science Foundation
Learning attributes equals multi-source domain generalization
C Gan, T Yang, B Gong
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Финансирование: US National Science Foundation, National Natural Science Foundation of China
A machine learning approach for air quality prediction: Model regularization and optimization
D Zhu, C Cai, T Yang, X Zhou
Big data and cognitive computing 2 (1), 5, 2018
Финансирование: US National Science Foundation
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
Финансирование: US National Science Foundation
First-order stochastic algorithms for escaping from saddle points in almost linear time
Y Xu, R Jin, T Yang
Advances in neural information processing systems 31, 2018
Финансирование: US National Science Foundation
Tracking slowly moving clairvoyant: Optimal dynamic regret of online learning with true and noisy gradient
T Yang, L Zhang, R Jin, J Yi
International Conference on Machine Learning, 449-457, 2016
Финансирование: US National Science Foundation
Improved dynamic regret for non-degenerate functions
L Zhang, T Yang, J Yi, R Jin, ZH Zhou
Advances in Neural Information Processing Systems 30, 2017
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Distributed stochastic variance reduced gradient methods by sampling extra data with replacement
JD Lee, Q Lin, T Ma, T Yang
Journal of Machine Learning Research 18 (122), 1-43, 2017
Финансирование: US National Science Foundation
First-order convergence theory for weakly-convex-weakly-concave min-max problems
M Liu, H Rafique, Q Lin, T Yang
Journal of Machine Learning Research 22 (169), 1-34, 2021
Финансирование: US National Science Foundation
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
Финансирование: US National Science Foundation
Dynamic regret of strongly adaptive methods
L Zhang, T Yang, ZH Zhou
International conference on machine learning, 5882-5891, 2018
Финансирование: US National Science Foundation, National Natural Science Foundation of China
Improved dropout for shallow and deep learning
Z Li, B Gong, T Yang
Advances in neural information processing systems 29, 2016
Финансирование: US National Science Foundation
Rsg: Beating subgradient method without smoothness and strong convexity
T Yang, Q Lin
Journal of Machine Learning Research 19 (6), 1-33, 2018
Финансирование: US National Science Foundation
AUC maximization in the era of big data and AI: A survey
T Yang, Y Ying
ACM computing surveys 55 (8), 1-37, 2022
Финансирование: US National Science Foundation
Improved schemes for episodic memory-based lifelong learning
Y Guo, M Liu, T Yang, T Rosing
Advances in Neural Information Processing Systems 33, 1023-1035, 2020
Финансирование: US National Science Foundation, US Department of Defense
Stochastic optimization of areas under precision-recall curves with provable convergence
Q Qi, Y Luo, Z Xu, S Ji, T Yang
Advances in neural information processing systems 34, 1752-1765, 2021
Финансирование: US National Science Foundation
A decentralized parallel algorithm for training generative adversarial nets
M Liu, W Zhang, Y Mroueh, X Cui, J Ross, T Yang, P Das
Advances in Neural Information Processing Systems 33, 11056-11070, 2020
Финансирование: US National Science Foundation
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