Peng Yang (杨鹏)
Peng Yang (杨鹏)
Assistant Professor, Southern University of Science and Technology
Verified email at - Homepage
Cited by
Cited by
Path Planning for Single Unmanned Aerial Vehicle by Separately Evolving Waypoints
P Yang, K Tang, JA Lozano, X Cao
IEEE Transactions on Robotics 31 (5), 1130-1146, 2015
Turning high-dimensional optimization into computationally expensive optimization
P Yang, K Tang, X Yao
IEEE Transactions on Evolutionary Computation, 2018
Negatively Correlated Search
K Tang, P Yang, X Yao
IEEE Journal on Selected Areas in Communications 34 (3), 1-9, 2016
Improving Estimation of Distribution Algorithm on Multimodal Problems by Detecting Promising Areas
P Yang, K Tang, X Lu
IEEE Transactions on Cybernetics 45 (8), 1438 - 1449, 2015
Evolutionary Computation for Large-Scale Multi- Objective Optimization: A Decade of Progresses
W Hong, P Yang, K Tang
International Journal of Automation and Computing, 2021
A Parallel Divide-and-Conquer based Evolutionary Algorithm for Large-scale Optimization
P Yang, K Tang, X Yao
IEEE Access 7, 163105-163118, 2019
Few-Shots Parallel Algorithm Portfolio Construction via Co-Evolution
K Tang, S Liu, P Yang, X Yao
IEEE Transactions on Evolutionary Computation 25 (3), 595-607, 2021
Optimal energy-delay scheduling for energy-harvesting WSNs with interference channel via negatively correlated search
D Jiao, P Yang, L Fu, L Ke, K Tang
IEEE Internet of Things Journal 7 (3), 1690-1703, 2019
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search
P Yang, H Zhang, Y Yu, M Li, K Tang
swarm and evolutionary computation, 2022
Parallel Exploration via Negatively Correlated Search
P Yang, Q Yang, K Tang, X Yao
Frontiers of Computer Science, 2021
Estimation of Distribution Algorithms based Unmanned Aerial Vehicle path planner using a new coordinate system
P Yang, K Tang, JA Lozano
IEEE congress on Evolutionary Computation, 1469 - 1476, 2014
A Quality-Sensitive Method for Learning from Crowds
J Zhong, P Yang, K Tang
IEEE Transactions on Knowledge and Data Engineering, 2017
Multi-objective magnitude-based pruning for latency-aware deep neural network compression
W Hong, P Yang, Y Wang, K Tang
Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020
Optimal Energy-Delay Scheduling for Energy Harvesting WSNs via Negatively Correlated Search
D Jiao, P Yang, L Fu, L Ke, K Tang
IEEE International Conference on Communications (ICC 2019), 2019
Region-focused Memetic Algorithms with Smart Initialisation for Real-world Large-scale Waste Collection Problems
W Lan, Z Ye, P Ruan, J Liu, P Yang, X Yao
IEEE Transactions on Evolutionary Computation, 2021
A heuristic repair method for dial-a-ride problem in intracity logistic based on neighborhood shrinking
M Chen, J Chen, P Yang, S Liu, K Tang
Multimedia Tools and Applications, 2020
A new evolutionary multi-objective algorithm for convex hull maximization
W Hong, G Lu, P Yang, Y Wang, K Tang
IEEE congress on evolutionary computation, 2015
Stage-Wise Magnitude-Based Pruning for Recurrent Neural Networks
G Li, P Yang, C Qian, R Hong, K Tang
IEEE Transactions on Neural Networks and Learning Systems, 2022
Robust dynamic network embedding via ensembles
C Hou, G Fu, P Yang, Z Hu, S He, K Tang
arXiv preprint arXiv:2105.14557, 2021
Optimal stochastic and online learning with individual iterates
Y Lei, P Yang, K Tang, DX Zhou
Advances in Neural Information Processing Systems 32, 2019
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