| 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 | 111 | 2015 |
| Turning high-dimensional optimization into computationally expensive optimization P Yang, K Tang, X Yao IEEE Transactions on Evolutionary Computation, 2018 | 81 | 2018 |
| Negatively Correlated Search K Tang, P Yang, X Yao IEEE Journal on Selected Areas in Communications 34 (3), 1-9, 2016 | 67 | 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 | 51 | 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 | 43 | 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 | 37 | 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 | 20 | 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 | 11 | 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 | 10 | 2022 |
| Parallel Exploration via Negatively Correlated Search P Yang, Q Yang, K Tang, X Yao Frontiers of Computer Science, 2021 | 10 | 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 | 10 | 2014 |
| A Quality-Sensitive Method for Learning from Crowds J Zhong, P Yang, K Tang IEEE Transactions on Knowledge and Data Engineering, 2017 | 9 | 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 | 8 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 4 | 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 | 3 | 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 | 3 | 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 | 3 | 2019 |
Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
