Yang Yu

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Coauteurs

Zhi-Hua ZhouNanjing UniversityAdresse e-mail validée de nju.edu.cn
Chao QianNanjing UniversityAdresse e-mail validée de nju.edu.cn
Hong QianEast China Normal UniversityAdresse e-mail validée de lamda.nju.edu.cn
Ke TangProfessor, Southern University of Science and TechnologyAdresse e-mail validée de sustech.edu.cn
Chongjie zhangTsinghua UniversityAdresse e-mail validée de tsinghua.edu.cn
Xin YaoSouthern University of Science and Technology and University of Birmingham (UK)Adresse e-mail validée de cs.bham.ac.uk
Nan Li 李楠MicrosoftAdresse e-mail validée de microsoft.com
Yu-Feng LiNanjing UniversityAdresse e-mail validée de lamda.nju.edu.cn
Ziniu LiThe Chinese University of Hong Kong, ShenzhenAdresse e-mail validée de link.cuhk.edu.cn
Zongzhang ZhangNanjing UniversityAdresse e-mail validée de nju.edu.cn
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityAdresse e-mail validée de sjtu.edu.cn
Sheng-Jun HuangNanjing University of Aeronautics & AstronauticsAdresse e-mail validée de lamda.nju.edu.cn
Lei BuNanjing UniversityAdresse e-mail validée de nju.edu.cn
De-Chuan ZhanNanjing University, ChinaAdresse e-mail validée de nju.edu.cn
Ming LiNanjing UniversityAdresse e-mail validée de lamda.nju.edu.cn
Shujian HuangDepartment of Computer Science and Technology, Nanjing UniversityAdresse e-mail validée de nju.edu.cn

Suivre

Yang Yu

Professor, Nanjing University

Adresse e-mail validée de nju.edu.cn - Page d'accueil

Artificial Intelligence Machine Learning Evolutionary Algorithms


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Taking human out of learning applications: A survey on automated machine learning Q Yao, M Wang, Y Chen, W Dai, YF Li, WW Tu, Q Yang, Y Yu https://arxiv.org/abs/1810.13306, 2018	318	2018
Qplex: Duplex dueling multi-agent q-learning J Wang, Z Ren, T Liu, Y Yu, C Zhang arXiv preprint arXiv:2008.01062, 2020	173	2020
Reinforcement learning to rank in e-commerce search engine: Formalization, analysis, and application Y Hu, Q Da, A Zeng, Y Yu, Y Xu Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	157	2018
Diversity Regularized Ensemble Pruning N Li, Y Yu, ZH Zhou European Conference on Machine Learning, 2012	147	2012
Subset selection by Pareto optimization C Qian, Y Yu, ZH Zhou Advances in Neural Information Processing Systems 28, 1774-1782, 2015	142	2015
Ensembling local learners ThroughMultimodal perturbation ZH Zhou, Y Yu Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 35 …, 2005	142	2005
Stabilizing reinforcement learning in dynamic environment with application to online recommendation SY Chen, Y Yu, Q Da, J Tan, HK Huang, HH Tang Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018	120	2018
Pareto ensemble pruning C Qian, Y Yu, ZH Zhou Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015	109	2015
Multi-layered gradient boosting decision trees J Feng, Y Yu, ZH Zhou Advances in Neural Information Processing Systems, 3551-3561, 2018	105	2018
Learning with augmented class by exploiting unlabeled data Q Da, Y Yu, ZH Zhou 28th AAAI Conference on Artificial Intelligence (AAAI'14), 1760-1766, 2014	104	2014
Multi-Label Hypothesis Reuse SJ Huang, Y Yu, ZH Zhou	103	2012
A new approach to estimating the expected first hitting time of evolutionary algorithms Y Yu, ZH Zhou Artificial Intelligence 172 (15), 1809-1832, 2008	103	2008
Virtual-Taobao: Virtualizing real-world online retail environment for reinforcement learning JC Shi, Y Yu, Q Da, SY Chen, AX Zeng Proceedings of the AAAI Conference on Artificial Intelligence 33, 4902-4909, 2019	102	2019
An analysis on recombination in multi-objective evolutionary optimization C Qian, Y Yu, ZH Zhou Artificial Intelligence 204, 99-119, 2011	94	2011
Spectrum of variable-random trees FT Liu, KM Ting, Y Yu, ZH Zhou Journal of Artificial Intelligence Research 32 (1), 355-384, 2008	94	2008
Bridging Machine Learning and Logical Reasoning by Abductive Learning WZ Dai, Q Xu, Y Yu, ZH Zhou Advances in Neural Information Processing Systems, 2811-2822, 2019	86	2019
Towards Sample Efficient Reinforcement Learning. Y Yu IJCAI, 5739-5743, 2018	85	2018
On the approximation ability of evolutionary optimization with application to minimum set cover Y Yu, X Yao, ZH Zhou Artificial Intelligence, 2012	85	2012
Derivative-free optimization via classification Y Yu, H Qian, YQ Hu Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	83	2016
On reinforcement learning for full-length game of starcraft ZJ Pang, RZ Liu, ZY Meng, Y Zhang, Y Yu, T Lu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4691-4698, 2019	78	2019

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