| 2025 | AAAI | Subgraph Invariant Learning Towards Large-Scale Graph Node Classification. | Leilei Wang, Si Shi, Fei Ma, Fei Richard Yu, Pengteng Li, Ying Tiffany He |
| 2025 | ICDM | Large Language Model-Guided Credit Scoring. | Si Shi, Hongxu Yuan, Huijie Li, Wuman Luo, Giovanni Pau |
| 2024 | AAAI | LGMRec: Local and Global Graph Learning for Multimodal Recommendation. | Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi, Bin Ruan |
| 2024 | DASFAA | Multi-scale Context-aware User Interest Learning for Behavior Pattern Modeling. | Zhiying Deng, Jianjun Li, Li Zou, Wei Liu, Si Shi, Qian Chen, Juan Zhao, Guohui Li |
| 2024 | SDM | DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation. | Zhiqiang Guo, Guohui Li, Jianjun Li, Chaoyang Wang, Si Shi |
| 2021 | CIKM | XPM: An Explainable Deep Reinforcement Learning Framework for Portfolio Management. | Si Shi, Jianjun Li, Guohui Li, Peng Pan, Ke Liu |
| 2019 | CIKM | A Multi-Scale Temporal Feature Aggregation Convolutional Neural Network for Portfolio Management. | Si Shi, Jianjun Li, Guohui Li, Peng Pan |