| 2026 | AAAI | PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure. | Ke Jia, Yuheng Ma, Yang Li, Feifei Wang |
| 2025 | AISTATS | Locally Private Estimation with Public Features. | Yuheng Ma, Ke Jia, Hanfang Yang |
| 2025 | DCC | Regression-Based Geometric Partitioning Mode Coding. | Philippe Bordes, Kevin Reuz, Franck Galpin, Xinwei Li, Ke Jia, Jie Chen, Ru-Ling Liao, Yan Ye |
| 2024 | ICML | Better Locally Private Sparse Estimation Given Multiple Samples Per User. | Yuheng Ma, Ke Jia, Hanfang Yang |
| 2023 | VCIP | Evaluation on the generalization of coded features across neural networks of different tasks. | Jiawang Liu, Ao Liu, Ke Jia, Hualong Yu, Lu Yu |
| 2021 | ICCD | Resonance-Based Power-Efficient Pulse Generator Design with Corresponding Distribution Network. | Ke Jia, Liang Yang, Jian Wang, Bin Lin, Hao Wang, Ruikai Shi |
| 2017 | IECON | Comparison of some low voltage ride-through strategies. | Elshiekh K. Mohammedsaeed, Ke Jia |
| 2015 | IECON | Non-contact arc study for DC power systems. | Jing Li, Mark Sumner, David W. P. Thomas, Edward Christopher, Ke Jia, He Zhang |
| 2010 | ACCV | Efficient Structured Support Vector Regression. | Ke Jia, Lei Wang, Nianjun Liu |
| 2010 | ICPR | Efficient Learning to Label Images. | Ke Jia, Li Cheng, Nianjun Liu, Lei Wang |