| 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 | 51 | 2022 |
| 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 | 47 | 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 | 39 | 2021 |
| How good is neural combinatorial optimization? A systematic evaluation on the traveling salesman problem S Liu, Y Zhang, K Tang, X Yao IEEE Computational Intelligence Magazine 18 (3), 14-28, 2023 | 37 | 2023 |
| Generative Adversarial Construction of Parallel Portfolios S Liu, K Tang, X Yao IEEE Transactions on Cybernetics, 2020 | 35 | 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 | 28 | 2021 |
| 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 | 26 | 2019 |
| Large language models can be guided to evade ai-generated text detection N Lu, S Liu, R He, Q Wang, YS Ong, K Tang arXiv preprint arXiv:2305.10847, 2023 | 24 | 2023 |
| Large language models as evolutionary optimizers S Liu, C Chen, X Qu, K Tang, YS Ong arXiv preprint arXiv:2310.19046, 2023 | 23 | 2023 |
| 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 | 21 | 2020 |
| 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 | 21 | 2015 |
| 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 7 (3 …, 2022 | 19* | 2022 |
| Effective and imperceptible adversarial textual attack via multi-objectivization S Liu, N Lu, W Hong, C Qian, K Tang ACM Transactions on Evolutionary Optimization and Learning, 2024 | 12 | 2024 |
| Reliable robustness evaluation via automatically constructed attack ensembles S Liu, F Peng, K Tang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8852-8860, 2023 | 10 | 2023 |
| 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 | 10 | 2021 |
| A Population Cooperation based Particle Swarm Optimization algorithm for large-scale multi-objective optimization Y Lu, B Li, S Liu, A Zhou Swarm and Evolutionary Computation 83, 101377, 2023 | 9 | 2023 |
| Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation J Wu, Q Liu, H Hu, W Fan, S Liu, Q Li, XM Wu, K Tang arXiv preprint arXiv:2310.09874, 2023 | 8 | 2023 |
| Saliency attack: towards imperceptible black-box adversarial attack Z Dai, S Liu, Q Li, K Tang ACM Transactions on Intelligent Systems and Technology 14 (3), 1-20, 2023 | 7 | 2023 |
| Multi‐objective evolutionary optimization for hardware‐aware neural network pruning W Hong, G Li, S Liu, P Yang, K Tang Fundamental Research, 2022 | 7 | 2022 |
| A new knowledge gradient-based method for constrained bayesian optimization W Chen, S Liu, K Tang arXiv preprint arXiv:2101.08743, 2021 | 7 | 2021 |
Ke TangProfessor, Southern University of Science and Technology在 sustech.edu.cn 的电子邮件经过验证
