2026 Yang Yu: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	31	13717	13302	1665	1655	150	3755

Overview

Yang Yu is affiliated with Nanjing University in China and has contributed extensively to the field of computer science, with a specific focus on artificial intelligence. Their work spans several subfields including artificial intelligence, computational theory and mathematics, management science and operations research, control and systems engineering, and information systems.

Yang Yu's research topics cover several advanced areas such as:

Reinforcement Learning in Robotics
Evolutionary Algorithms and Applications
Data Stream Mining Techniques
Advanced Multi-Objective Optimization Algorithms
Metaheuristic Optimization Algorithms Research
Advanced Bandit Algorithms Research
Adversarial Robustness in Machine Learning

Among recent papers authored or co-authored by Yang Yu are:

"COVID-19 Asymptomatic Infection Estimation" (2020), bioRxiv (Cold Spring Harbor Laboratory)
"QPLEX: Duplex Dueling Multi-Agent Q-Learning" (2020), arXiv (Cornell University)
"A survey on model-based reinforcement learning" (2024), Science China Information Sciences
"An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints" (2020), Proceedings of the AAAI Conference on Artificial Intelligence
"Error Bounds of Imitating Policies and Environments for Reinforcement Learning" (2021), IEEE Transactions on Pattern Analysis and Machine Intelligence

Yang Yu has published frequently in prominent venues, including:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Science China Information Sciences
Machine Learning

Frequent collaborators of Yang Yu include:

Yi-Qi Hu
Hong Qian
Zongzhang Zhang
Chao Qian
Fan-Ming Luo

Yang Yu has also contributed to academic literature through book publication, notably:

Derivative-Free Optimization (2025), published by Springer Nature

Best Publications

Chaotic Local Search-Based Differential Evolution Algorithms for Optimization

Shangce Gao;Yang Yu;Yirui Wang;Jiahai Wang

333
Citations
Taking Human out of Learning Applications: A Survey on Automated Machine Learning

Quanming Yao;Mengshuo Wang;Hugo Jair Escalante;Isabelle Guyon

219
Citations
A two-layer surrogate-assisted particle swarm optimization algorithm

Chaoli Sun;Yaochu Jin;Jianchao Zeng;Yang Yu

192
Citations
Reinforcement Learning to Rank in E-Commerce Search Engine: Formalization, Analysis, and Application

Yujing Hu;Qing Da;Anxiang Zeng;Yang Yu

178
Citations
Diversity regularized ensemble pruning

Nan Li;Yang Yu;Zhi-Hua Zhou

164
Citations
A multi-layered gravitational search algorithm for function optimization and real-world problems

Yirui Wang;Shangce Gao;Mengchu Zhou;Yang Yu

164
Citations
Performance Evaluation of Model-Based Gait on Multi-View Very Large Population Database With Pose Sequences

Weizhi An;Shiqi Yu;Yasushi Makihara;Xinhui Wu

159
Citations
QPLEX: Duplex Dueling Multi-Agent Q-Learning

Jianhao Wang;Zhizhou Ren;Terry Liu;Yang Yu

153
Citations
Ensembling local learners ThroughMultimodal perturbation

Zhi-Hua Zhou;Yang Yu

150
Citations
Subset selection by Pareto optimization

Chao Qian;Yang Yu;Zhi-Hua Zhou

148
Citations
Stabilizing Reinforcement Learning in Dynamic Environment with Application to Online Recommendation

Shi-Yong Chen;Yang Yu;Qing Da;Jun Tan

147
Citations
QPLEX: Duplex Dueling Multi-Agent Q-Learning

Jianhao Wang;Zhizhou Ren;Terry Liu;Yang Yu

138
Citations
Towards Sample Efficient Reinforcement Learning.

Yang Yu

132
Citations
An analysis on recombination in multi-objective evolutionary optimization

Chao Qian;Yang Yu;Zhi-Hua Zhou

122
Citations
Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning

Jing-Cheng Shi;Yang Yu;Qing Da;Shi-Yong Chen

117
Citations
Pareto ensemble pruning

Chao Qian;Yang Yu;Zhi-Hua Zhou

115
Citations
Learning with augmented class by exploiting unlabeled data

Qing Da;Yang Yu;Zhi-Hua Zhou

110
Citations
A new approach to estimating the expected first hitting time of evolutionary algorithms

Yang Yu;Zhi-Hua Zhou

110
Citations
Multi-label hypothesis reuse

Sheng-Jun Huang;Yang Yu;Zhi-Hua Zhou

109
Citations
Evolutionary Learning: Advances in Theories and Algorithms

Zhi-Hua Zhou;Yang Yu;Chao Qian

104
Citations
Spectrum of variable-random trees

Fei Tony Liu;Kai Ming Ting;Yang Yu;Zhi-Hua Zhou

102
Citations
Derivative-free optimization via classification

Yang Yu;Hong Qian;Yi-Qi Hu

97
Citations
A survey on model-based reinforcement learning

Unknown

96
Citations
On the approximation ability of evolutionary optimization with application to minimum set cover

Yang Yu;Xin Yao;Zhi-Hua Zhou

93
Citations
Bridging Machine Learning and Logical Reasoning by Abductive Learning

Wang-Zhou Dai;Qiuling Xu;Yang Yu;Zhi-Hua Zhou

85
Citations
On Subset Selection with General Cost Constraints

Chao Qian;Jing-Cheng Shi;Yang Yu;Ke Tang

71
Citations
On Reinforcement Learning for Full-Length Game of StarCraft

Zhen-Jia Pang;Ruo-Ze Liu;Zhou-Yu Meng;Yi Zhang

66
Citations
Analyzing evolutionary optimization in noisy environments

Chao Qian;Yang Yu;Zhi-Hua Zhou

62
Citations
Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions

Hong Qian;Yang Yu

60
Citations
Error Bounds of Imitating Policies and Environments

Tian Xu;Ziniu Li;Yang Yu

19
Citations

Frequent Co-Authors

Zhi-Hua Zhou Nanjing University

Ke Tang Southern University of Science and Technology

Xin Yao Lingnan University

Tong Lu Nanjing University

Hugo Jair Escalante National Institute of Astrophysics, Optics and Electronics

Isabelle Guyon University of Paris-Saclay

Yaochu Jin Westlake University

Kai Ming Ting Nanjing University

Qiang Yang Hong Kong University of Science and Technology

Han Yu Nanyang Technological University

External Links

Personal website of Yang Yu

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