Ke Tang
机构: Professor, Southern University of Science and Technology
每年引用次数
引用次数
引用: 15,984
H-指数: 61
I10-指数 : 186
出版物: 329
Towards maximizing the area under the ROC curve for multi-class classification problems
Ke Tang , Tianshi Chen , Rui Wang
national conference on artificial intelligence 483 -488
20
2011
Increasingly cautious optimism for practical PAC-MDP exploration
Xin Yao , Ke Tang , Liangpeng Zhang
international conference on artificial intelligence 4033 -4040
2015
Active learning from crowds with unsure option
Ke Tang , Jinhong Zhong , Zhi-Hua Zhou
international conference on artificial intelligence 1061 -1067
54
2015
2007
Experience-based Optimization: A Coevolutionary Approach.
Xin Yao , Ke Tang , Shengcai Liu
arXiv: Neural and Evolutionary Computing
5
2017
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
Xin Yao , Ke Tang , Liangpeng Zhang
neural information processing systems 30 1804 -1814
1
2017
Subset Selection under Noise
Chao Qian , Ke Tang , Zhi-Hua Zhou , Yang Yu
neural information processing systems 30 3560 -3570
57
2017
On Multiset Selection With Size Constraints.
Chao Qian , Xin Yao , Ke Tang , Yibo Zhang
national conference on artificial intelligence 1395 -1402
9
2018
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Ke Tang , Yunwen Lei
neural information processing systems 31 1519 -1529
7
2018
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization.
Xin Yao , Ke Tang , Peng Yang
arXiv: Neural and Evolutionary Computing
35
2018
Proceedings of the 10th International Conference on Simulated Evolution and Learning - Volume 8886
Grant Dick , Will Browne , Peter Whigham , Mengjie Zhang
2014
Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization
Xiaodong Li , Ke Tang , Mohammad N Omidvar , Zhenyu Yang
411
2013
DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding.
Ke Tang , Shan He , Han Zhang , Chengbin Hou
arXiv: Social and Information Networks
6
2019
Optimal Stochastic and Online Learning with Individual Iterates
Ding-Xuan Zhou , Ke Tang , Peng Yang , Yunwen Lei
neural information processing systems 32 5415 -5425
3
2019
Explicit Planning for Efficient Exploration in Reinforcement Learning
Xin Yao , Ke Tang , Liangpeng Zhang
neural information processing systems 32 7486 -7495
8
2019
Simulated Evolution and Learning 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings
Yuhui Shi , Kay Chen Tan , Mengjie Zhang , Ke Tang
Published in <b>2017</b>
2017
Parallel Exploration via Negatively Correlated Search.
Xin Yao , Ke Tang , Peng Yang , Qi Yang
arXiv: Neural and Evolutionary Computing
7
2019
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search.
Ke Tang , Peng Yang , Hu Zhang , Mingjia Li
arXiv: Neural and Evolutionary Computing
6
2020
Turning High-Dimensional Optimization Into Computationally Expensive Optimization
Xin Yao , Ke Tang , Peng Yang
IEEE Transactions on Evolutionary Computation 22 ( 1) 143 -156
79
2018
Negatively Correlated Search
Xin Yao , Ke Tang , Peng Yang
IEEE Journal on Selected Areas in Communications 34 ( 3) 542 -550
67
2016
Zhenyu Yang Chao Qian Peng Yang (杨鹏) R. Prof. P. N. Suganthan, FIEEE'2015, SCI Highly Cited Researcher 2015-2023, (Codes from my GitHub) Thomas Weise Yi Mei, Fellow of EngNZ Kai (Alex) Qin Zhi-Hua Zhou Yang Yu Yaochu Jin Shan He Bernhard Sendhoff Zexuan Zhu Professor Kay Chen TAN Yunwen Lei Prof. Aimin Zhou Fei Peng Haobo Fu Chunhui Jiang Wenxiang Chen