| 2026 | ISKE | Interest-Expansion-Based Graph Convolutional Neural Networks for Recommendation. | Wenhui Guo, Tiantian Zhou, Sihui Li, Hailiang Ye, Feilong Cao |
| 2026 | ISKE | Boosting Targeted Label Attacks in Graph Neural Networks with Iterative Edge Injection. | Sihui Li, Qiyang Chen, Wenhui Guo, Hailiang Ye, Feilong Cao |
| 2024 | IROS | A Sampling Ensemble for Asymptotically Complete Motion Planning with Volume-Reducing Workspace Constraints. | Sihui Li, Matthew A. Schack, Aakriti Upadhyay, Neil T. Dantam |
| 2023 | ICRA | Sample-Driven Connectivity Learning for Motion Planning in Narrow Passages. | Sihui Li, Neil T. Dantam |
| 2023 | QRS | Knowledge Graph Completing with Dual Confrontation Learning Model based on Variational Information Bottleneck Method. | Song Han, Zhengyi Guan, Sihui Li, Jin Wang, Xiaobing Zhou |
| 2023 | RO-MAN | Failure Explanation in Privacy-Sensitive Contexts: An Integrated Systems Approach. | Sihui Li, Sriram Siva, Terran Mott, Tom Williams, Hao Zhang, Neil Dantam |
| 2022 | WAFR | Exponential Convergence of Infeasibility Proofs for Kinematic Motion Planning. | Sihui Li, Neil T. Dantam |
| 2021 | IROS | An Integrated Approach to Context-Sensitive Moral Cognition in Robot Cognitive Architectures. | Ryan Blake Jackson, Sihui Li, Santosh Balajee Banisetty, Sriram Siva, Hao Zhang, Neil Dantam, Tom Williams |
| 2020 | IROS | Towards General Infeasibility Proofs in Motion Planning | Sihui Li, Neil T. Dantam |