| 2025 | ICCV | Task-Specific Generative Dataset Distillation with Difficulty-Guided Sampling. | Mingzhuo Li, Guang Li, Jiafeng Mao, Linfeng Ye, Takahiro Ogawa, Miki Haseyama |
| 2024 | ECCV | How to Train the Teacher Model for Effective Knowledge Distillation. | Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan, Linfeng Ye, Ahmed H. Salamah |
| 2024 | ECCV | Markov Knowledge Distillation: Make Nasty Teachers Trained by Self-undermining Knowledge Distillation Fully Distillable. | En-Hui Yang, Linfeng Ye |
| 2024 | ICASSP | Robustness Against Adversarial Attacks Via Learning Confined Adversarial Polytopes. | Shayan Mohajer Hamidi, Linfeng Ye |
| 2024 | ICLR | Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information. | Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan, En-Hui Yang |
| 2024 | ISIT | Fed-IT: Addressing Class Imbalance in Federated Learning through an Information- Theoretic Lens. | Shayan Mohajer Hamidi, Renhao Tan, Linfeng Ye, En-Hui Yang |
| 2024 | ISIT | Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results. | En-Hui Yang, Shayan Mohajer Hamidi, Linfeng Ye, Renhao Tan, Beverly Yang |
| 2023 | ICIP | JPEG Compliant Compression for DNN Vision. | Kaixiang Zheng, Ahmed H. Salamah, Linfeng Ye, En-Hui Yang |
| 2010 | FPL | Rapid Application Development on Multi-processor Reconfigurable Systems. | Linfeng Ye, Jean-Philippe Diguet, Guy Gogniat |