| Memetic search for vehicle routing with simultaneous pickup-delivery and time windows S Liu, K Tang, X Yao Swarm and Evolutionary Computation 66, 100927, 2021 | 22 | 2021 |
| 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 |
| QoS-aware long-term based service composition in cloud computing S Liu, Y Wei, K Tang, AK Qin, X Yao 2015 IEEE Congress on Evolutionary Computation (CEC), 3362-3369, 2015 | 20 | 2015 |
| Automatic construction of parallel portfolios via explicit instance grouping S Liu, K Tang, X Yao Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1560-1567, 2019 | 18 | 2019 |
| Generative Adversarial Construction of Parallel Portfolios S Liu, K Tang, X Yao IEEE Transactions on Cybernetics, 2020 | 15 | 2020 |
| Efficient combinatorial optimization for word-level adversarial textual attack S Liu, N Lu, C Chen, K Tang IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 98-111, 2021 | 11 | 2021 |
| On Performance Estimation in Automatic Algorithm Configuration S Liu, K Tang, Y Lei, X Yao Proceedings of the AAAI Conference on Artificial Intelligence 34, 2384-2391, 2020 | 11 | 2020 |
| Disentangled contrastive learning for social recommendation J Wu, W Fan, J Chen, S Liu, Q Li, K Tang Proceedings of the 31st ACM International Conference on Information …, 2022 | 9 | 2022 |
| Experience-based optimization: A coevolutionary approach S Liu, K Tang, X Yao arXiv preprint arXiv:1703.09865, 2017 | 5 | 2017 |
| Towards feature-free TSP solver selection: A deep learning approach K Zhao, S Liu, JX Yu, Y Rong 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 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, L Shengcai, K Tang Multimedia Tools and Applications, 2020 | 4 | 2020 |
| A new knowledge gradient-based method for constrained bayesian optimization W Chen, S Liu, K Tang arXiv preprint arXiv:2101.08743, 2021 | 3 | 2021 |
| Multi-domain active learning: A comparative study R He, S Liu, S He, K Tang | 3 | 2021 |
| Hydratext: Multi-objective optimization for adversarial textual attack S Liu, N Lu, W Hong, C Qian, K Tang arXiv e-prints, arXiv: 2111.01528, 2021 | 2 | 2021 |
| Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles S Liu, F Peng, K Tang arXiv preprint arXiv:2211.12713, 2022 | 1 | 2022 |
| Multi-Domain Active Learning: Literature Review and Comparative Study R He, S Liu, S He, K Tang IEEE Transactions on Emerging Topics in Computational Intelligence, 2022 | 1 | 2022 |
| How Good Is Neural Combinatorial Optimization? S Liu, Y Zhang, K Tang, X Yao arXiv preprint arXiv:2209.10913, 2022 | 1 | 2022 |
| Multiobjective evolutionary optimization for hardwareaware neural network pruning W Hong, G Li, S Liu, P Yang, K Tang Fundamental Research, 2022 | 1 | 2022 |
| Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization S Liu, N Lu, W Hong, C Qian, K Tang arXiv preprint arXiv:2111.01528, 2021 | 1 | 2021 |
| Few-shots Parameter Tuning via Co-evolution K Tang, S Liu, P Yang, X Yao arXiv e-prints, arXiv: 2007.00501, 2020 | 1 | 2020 |
Ke TangProfessor, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
