| 2025 | ICCV | One Last Attention for Your Vision-Language Model. | Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen |
| 2025 | ICLR | Learning Graph Invariance by Harnessing Spuriosity. | Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen |
| 2024 | ICDM | Learning Invariant Features on Graphs by Disentangling Spurious Features. | Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang |
| 2024 | ICML | Empowering Graph Invariance Learning with Deep Spurious Infomax. | Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang |
| 2024 | WWW | MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. | Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen |
| 2023 | KDD | Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. | Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang |
| 2020 | CIKM | BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising. | Tianjun Yao, Qing Li, Shangsong Liang, Yadong Zhu |