Shengcai Liu
Shengcai Liu
Agency for Science, Technology and Research
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Cited by
Cited by
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
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
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
Generative Adversarial Construction of Parallel Portfolios
S Liu, K Tang, X Yao
IEEE Transactions on Cybernetics, 2020
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
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
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
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
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
Large language models can be guided to evade ai-generated text detection
N Lu, S Liu, R He, K Tang
arXiv preprint arXiv:2305.10847, 2023
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
Large language models as evolutionary optimizers
S Liu, C Chen, X Qu, K Tang, YS Ong
arXiv preprint arXiv:2310.19046, 2023
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
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
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
A new knowledge gradient-based method for constrained bayesian optimization
W Chen, S Liu, K Tang
arXiv preprint arXiv:2101.08743, 2021
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
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
Multi‐objective evolutionary optimization for hardware‐aware neural network pruning
W Hong, G Li, S Liu, P Yang, K Tang
Fundamental Research, 2022
Experience-based optimization: A coevolutionary approach
S Liu, K Tang, X Yao
arXiv preprint arXiv:1703.09865, 2017
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