| 2025 | AISTATS | Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients. | Yue Huang, Jiaojiao Zhang, Qing Ling |
| 2025 | ICLR | From Promise to Practice: Realizing High-performance Decentralized Training. | Zesen Wang, Jiaojiao Zhang, Xuyang Wu, Mikael Johansson |
| 2024 | ICASSP | Dynamic Privacy Allocation for Locally Differentially Private Federated Learning with Composite Objectives. | Jiaojiao Zhang, Dominik Fay, Mikael Johansson |
| 2024 | ICASSP | Composite Federated Learning with Heterogeneous Data. | Jiaojiao Zhang, Jiang Hu, Mikael Johansson |
| 2023 | ICASSP | Byzantine-Robust and Communication-Efficient Personalized Federated Learning. | Xuechao He, Jiaojiao Zhang, Qing Ling |
| 2023 | ICASSP | MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation. | Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu |
| 2020 | ICASSP | A Penalty Alternating Direction Method of Multipliers for Decentralized Composite Optimization. | Jiaojiao Zhang, Anthony Man-Cho So, Qing Ling |
| 2019 | AAAI | Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts. | Ximing Li, Jiaojiao Zhang, Jihong Ouyang |
| 2011 | CIS | Improving the Performance of Personalized Recommendation with Ontological User Interest Model. | Zhenglian Su, Jun Yan, Haisong Chen, Jiaojiao Zhang |