| 2024 | ACML | FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning. | Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji |
| 2023 | ACSAC | Continuous Authentication Using Human-Induced Electric Potential. | Srinivasan Murali, Wenqiang Jin, Vighnesh Sivaraman, Huadi Zhu, Tianxi Ji, Pan Li, Ming Li |
| 2023 | NDSS | Privacy-Preserving Database Fingerprinting. | Tianxi Ji, Erman Ayday, Emre Yilmaz, Ming Li, Pan Li |
| 2021 | MOBIHOC | Weak Signal Detection in 5G+ Systems: A Distributed Deep Learning Framework. | Yifan Guo, Lixing Yu, Qianlong Wang, Tianxi Ji, Yuguang Fang, Jin Wei-Kocsis, Pan Li |
| 2021 | RAID | The Curse of Correlations for Robust Fingerprinting of Relational Databases. | Tianxi Ji, Emre Yilmaz, Erman Ayday, Pan Li |
| 2019 | ACML | Differentially Private Community Detection in Attributed Social Networks. | Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li |
| 2019 | ICDM | Quantized Adversarial Training: An Iterative Quantized Local Search Approach. | Yifan Guo, Tianxi Ji, Qianlong Wang, Lixing Yu, Pan Li |
| 2018 | ACML | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |