師資
劉晟材，工學博士，南方科技大學計算機科學與工程系助理教授。劉博士長期從事人工智能領域的研究，以第一/通訊作者在人工智能領域頂級會議和期刊發(fā)表論文10余篇。個人主頁：https://senshinel.github.io
研究方向
(1) 算法自動設計的基礎理論、方法及應用
(2) 自動機器學習、演化大模型
教育經(jīng)歷
2014年9月-2020年7月，中國科學技術大學，計算機科學與工程系，博士
2010年9月-2014年7月，中國科學技術大學，計算機科學與工程系，學士
工作經(jīng)歷
2024年8月至今，南方科技大學，計算機科學與工程系，助理教授
2023年5月-2024年5月，新加坡科技研究局，人工智能前沿研究中心，高級研究科學家
2023年1月-2023年5月，新加坡科技研究局，人工智能前沿研究中心，訪問教授
2021年1月-2023年1月，南方科技大學，計算機科學與工程系，研究助理教授
Journal Publications（*表示通訊作者）
[12] X. Li, S. Liu*, and K. Tang. Novel Genetic Algorithm for Solving Chance-Constrained Multiple-Choice Knapsack Problems. Journal of Computer Applications, 2024, 44(5): 1378-1385.
[11] X. Li, S. Liu*, J. Wang, X. Chen, Y.-S. Ong, and K. Tang. Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. IEEE Transactions on Cybernetics, 2024, DOI: 10.1109/TCYB.2024.3402395
[10] N. Lu, S. Liu*, Rui He, Qi Wang, Yew-Soon Ong, and Ke Tang. Large Language Models can be Guided to Evade AI-Generated Text Detection. Transactions on Machine Learning Research, 2024.
[9] S. Liu, N. Lu, W. Hong, C. Qian, and K. Tang. E?ective and Imperceptible Adversarial Textual Attack via Multi-objectivization. ACM Transactions on Evolutionary Learning and Optimization, 2024, 4(3), pp.1-23.
[8] S. Liu, Y. Zhang, K. Tang, and X. Yao. How Good is Neural Combinatorial Optimization? A Systematic Evaluation on the Traveling Salesman Problem. IEEE Computational Intelligence Magazine, 2023, 18(3): 14-28.
[7] Z. Dai, S. Liu*, Q. Li, and K. Tang. Saliency Attack: Towards Imperceptible Black-box Adversarial Attack. ACM Transactions on Intelligent Systems and Technology, 2023, 14(3): 1-20.
[6] R. He, S. Liu*, S. He, and K. Tang. Multi-Domain Active Learning: Literature Review and Comparative Study. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(3): 791-804.
[5] 劉晟材 , 楊鵬, 唐珂. 近似最優(yōu)并行算法組智能匯聚構造. 中國科學: 技術科學, 2023, 280-290.
[4] S. Liu, N. Lu, C. Chen, and K. Tang. E?cient Combinatorial Optimization for Word-level Adversarial Textual Attack. IEEE/ACM Transactions on Audio, Speech and Language Processing, 2022, 30: 98-111.
[3] S. Liu, K. Tang, and X. Yao. Generative Adversarial Construction of Parallel Portfolios. IEEE Transactions on Cybernetics, 2022, 52(2): 784-795.
[2] S. Liu, K. Tang, and X. Yao. Memetic Search for Vehicle Routing with Simultaneous PickupDelivery and Time Windows. Swarm and Evolutionary Computation, 66: 100927, 2021.
[1] K. Tang, S. Liu, P. Yang, and X. Yao. Few-shots Parallel Algorithm Portfolio Construction via Co-evolution. IEEE Transactions on Evolutionary Computation, 2021, 25(3): 595-607.
Conference Publications （*表示通訊作者）
[6] S. Liu, C. Chen, X. Qu, K. Tang, and Y.-S. Ong. Large Language Models as Evolutionary Optimizers. In: Proceedings of The 2024 IEEE Congress on Evolutionary Computation (CEC’2024), Yokohama, Japan, 2024, To Appear
[5] N. Lu, S. Liu*, Z. Zhang, Q. Wang, H. Liu, and K. Tang. Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend. In: Proceedings of The 2024 IEEE Conference on Artificial Intelligence (CAI’2024), Singapore, Singapore, 2024, 823-830.
[4] R. He, S. Liu*, J. Wu, S. He, and K. Tang. Multi-Domain Learning From Insufficient Annotations. In: Proceedings of The 26th European Conference on Artificial Intelligence (ECAI’2023), Kraków, Poland, 2023, 1028-1035.
[3] S. Liu, F. Peng, and K. Tang. Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. In: Proceedings of the 37th AAAI Conference on Arti?cial Intelligence (AAAI’2023), Washington, DC, 2023, 8852-8860.
[2] S. Liu, K. Tang, Y. Lei, and X. Yao. On Performance Estimation in Automatic Algorithm Con?guration. In: Proceedings of the 34th AAAI Conference on Arti?cial Intelligence (AAAI’2020), New York, NY, 2020, 2384-2391.
[1] S. Liu, K. Tang, and X. Yao. Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. In: Proceedings of the 33rd AAAI Conference on Arti?cial Intelligence (AAAI’2019), Honolulu, HI, 2019, 1560-1567.
Fundings
[1] 項目負責人，“高可靠組合優(yōu)化求解器的自動構建關鍵方法”， 華為-南方科技大學計算機系人工智能 RAMS 技術創(chuàng)新實驗室長期合作框架協(xié)議項目, 05/2021 - 05/2022, CNY 400,000.
Patents
[2] 劉晟材，楊鵬，唐珂，姚新，“一種倉儲網(wǎng)絡的庫存調撥方法、裝置及存儲介質”，授權專利號ZL201811598496.1，2023年5月.
[1] 劉晟材，楊鵬，唐珂，姚新，“一種車輛調度方法、裝置、設備及存儲介質”，授權專利號ZL201811404905.X，2021年10月.
Dissertation
[1] 劉晟材，“面向并行啟發(fā)式算法組的自動構建技術研究“，博士論文，中國科學技術大學，2020年7月.
Professional Services
? Professional Membership
? ○ IEEE, IEEE CIS, AAAI
? Journal Reviewer
? ○ TPAMI, TEVC, TCYB, TNNLS, CIM, AIJ, JAIR
? Conference Reviewer
? ○ NeurIPS, ICML, AAAI, IJCAI, ECAI, GECCO, CEC