Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. - Liang Liu 007; Jiangning Zhang; Ruifei He; Yong Liu 007; Yabiao Wang; Ying Tai; Donghao Luo 001; Chengjie Wang; Jilin Li; Feiyue Huang (CVPR, 2020)

Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. - Ruifei He; Jihan Yang; Xiaojuan Qi 001 (ICCV, 2021)

Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. - Ruifei He; Shuyang Sun; Jihan Yang; Song Bai 001; Xiaojuan Qi 001 (CVPR, 2022)

LUMix: Improving Mixup by Better Modelling Label Uncertainty. - Shuyang Sun; Jieneng Chen; Ruifei He; Alan L. Yuille; Philip H. S. Torr; Song Bai 001 (CoRR, 2022)

Is Synthetic Data from Generative Models Ready for Image Recognition? - Ruifei He; Shuyang Sun; Xin Yu 004; Chuhui Xue; Wenqing Zhang; Philip H. S. Torr; Song Bai 001; Xiaojuan Qi 001 (ICLR, 2023)

Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. - Hai Wu; Ruifei He; Haoru Tan; Xiaojuan Qi 001; Kaibin Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Debiasing Text-to-Image Diffusion Models. - Ruifei He; Chuhui Xue; Haoru Tan; Wenqing Zhang; Yingchen Yu; Song Bai 001; Xiaojuan Qi 001 (CoRR, 2024)

MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More. - Wei Huang 042; Yue Liao; Jianhui Liu; Ruifei He; Haoru Tan; Shiming Zhang; Hongsheng Li 001; Si Liu 001; Xiaojuan Qi 001 (CoRR, 2024)

Mixture Compressor for Mixture-of-Experts LLMs Gains More. - Wei Huang 042; Yue Liao; Jianhui Liu; Ruifei He; Haoru Tan; Shiming Zhang; Hongsheng Li 001; Si Liu 001; Xiaojuan Qi 001 (ICLR, 2025)