Ye, Linfeng

8 publications

ICLR 2026 ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging Linfeng Ye, Shayan Mohajer Hamidi, Zhixiang Chi, Guang Li, Mert Pilanci, Takahiro Ogawa, Miki Haseyama, Konstantinos N. Plataniotis

ICLR 2026 CL-DPS: A Contrastive Learning Approach to Blind Nonlinear Inverse Problem Solving via Diffusion Posterior Sampling Linfeng Ye, Shayan Mohajer Hamidi, Mert Pilanci, Konstantinos N. Plataniotis

ICLR 2026 DreamPhase: Offline Imagination and Uncertainty-Guided Planning for Large-Language-Model Agents Shayan Mohajer Hamidi, Linfeng Ye, Konstantinos N. Plataniotis

TMLR 2025 Distributed Quasi-Newton Method for Fair and Fast Federated Learning Shayan Mohajer Hamidi, Linfeng Ye

TMLR 2025 Towards Undistillable Models by Minimizing Conditional Mutual Information Linfeng Ye, Shayan Mohajer Hamidi, En-Hui Yang

ICLR 2024 Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Information Linfeng Ye, Shayan Mohajer Hamidi, Renhao Tan, En-Hui Yang

ECCV 2024 How to Train the Teacher Model for Effective Knowledge Distillation Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan, Linfeng Ye, Ahmed Hussein Salamah

ECCV 2024 Markov Knowledge Distillation: Make Nasty Teachers Trained by Self-Undermining Knowledge Distillation Fully Distillable En-hui Yang, Linfeng Ye