| 2026 | SIGIR | Diagnosing and Mitigating Mid-Sequence Degradation in Recommender Systems. | Linjiang Guo, Nitin Bisht, Shiqing Wu, Huan Huo, Xianzhi Wang, Guandong Xu |
| 2025 | PRICAI | Graph of Now and Past Network: A Novel Approach for Dynamic Temporal Graphs Learning. | Naimeng Yao, Li Xiao, Weihua Li, Xiaodan Wang, Shiqing Wu, Quan Bai |
| 2024 | DASFAA | Enhancing Spatiotemporal Prediction with Intra- and Inter-granularity Contrastive Learning. | Qilong Han, Shanshan Sui, Dan Lu, Shiqing Wu, Guandong Xu |
| 2023 | ICDM | IE-Evo: Internal and External Evolution-Enhanced Temporal Knowledge Graph Forecasting. | Kangzheng Liu, Feng Zhao, Guandong Xu, Shiqing Wu |
| 2023 | ICDM | SOAC: Supervised Off-Policy Actor-Critic for Recommender Systems. | Shiqing Wu, Guandong Xu, Xianzhi Wang |
| 2023 | PRICAI | BeECD: Belief-Aware Echo Chamber Detection over Twitter Stream. | Guan Wang, Weihua Li, Shiqing Wu, Quan Bai, Edmund M.-K. Lai |
| 2023 | SIGIR | Dynamic Graph Evolution Learning for Recommendation. | Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li |
| 2022 | IJCAI | AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. | Yuxuan Hu, Shiqing Wu, Chenting Jiang, Weihua Li, Quan Bai, Erin Roehrer |
| 2021 | WISE | OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks. | Chenting Jiang, Weihua Li, Shiqing Wu, Quan Bai |
| 2019 | PRICAI | Incentivizing Long-Term Engagement Under Limited Budget. | Shiqing Wu, Quan Bai |
| 2019 | PRICAI | Adaptive Incentive Allocation for Influence-Aware Proactive Recommendation. | Shiqing Wu, Quan Bai, Byeong Ho Kang |