| 2025 | ECAI | Cascaded Large-Scale TSP Solving with Unified Neural Guidance: Bridging Local and Population-Based Search. | Haoze Lv, Wenjie Chen, Zhiyuan Wang, Shengcai Liu |
| 2025 | ICDE | Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation (Extended Abstract). | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qijiong Liu, Rui He, Qing Li, Ke Tang |
| 2025 | ICDE | Backdoor Graph Condensation. | Jiahao Wu, Ning Lu, Zeyu Dai, Kun Wang, Wenqi Fan, Shengcai Liu, Qing Li, Ke Tang |
| 2025 | ICML | Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets. | Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang |
| 2025 | WWW | Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. | Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang |
| 2024 | CEC | Large Language Models as Evolutionary Optimizers. | Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong |
| 2023 | AAAI | Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles. | Shengcai Liu, Fu Peng, Ke Tang |
| 2023 | ECAI | Multi-Domain Learning from Insufficient Annotations. | Rui He, Shengcai Liu, Jiahao Wu, Shan He, Ke Tang |
| 2022 | CIKM | Disentangled Contrastive Learning for Social Recommendation. | Jiahao Wu, Wenqi Fan, Jingfan Chen, Shengcai Liu, Qing Li, Ke Tang |
| 2021 | IJCNN | Towards Feature-free TSP Solver Selection: A Deep Learning Approach. | Kangfei Zhao, Shengcai Liu, Jeffrey Xu Yu, Yu Rong |
| 2020 | AAAI | On Performance Estimation in Automatic Algorithm Configuration. | Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao |
| 2019 | AAAI | Automatic Construction of Parallel Portfolios via Explicit Instance Grouping. | Shengcai Liu, Ke Tang, Xin Yao |
| 2015 | CEC | QoS-aware long-term based service composition in cloud computing. | Shengcai Liu, Yufan Wei, Ke Tang, A. K. Qin, Xin Yao |