Ruifei He - RankMe

14 papers A* 5Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Mixture Compressor for Mixture-of-Experts LLMs Gains More. ICLR Wei Huang, Yue Liao, JianHui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi
2024	J	`jnl`	Debiasing Text-to-Image Diffusion Models. CoRR Ruifei He, Chuhui Xue, Haoru Tan, Wenqing Zhang, Yingchen Yu, Song Bai, Xiaojuan Qi
2024	J	`jnl`	MC-MoE: Mixture Compressor for Mixture-of-Experts LLMs Gains More. CoRR Wei Huang, Yue Liao, JianHui Liu, Ruifei He, Haoru Tan, Shiming Zhang, Hongsheng Li, Si Liu, Xiaojuan Qi
2023	A*	`conf`	Is Synthetic Data from Generative Models Ready for Image Recognition? ICLR Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi
2023	J	`jnl`	Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. IEEE Trans. Pattern Anal. Mach. Intell. Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang
2022	J	`jnl`	Is synthetic data from generative models ready for image recognition? CoRR Ruifei He, Shuyang Sun, Xin Yu, Chuhui Xue, Wenqing Zhang, Philip H. S. Torr, Song Bai, Xiaojuan Qi
2022	A*	`conf`	Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CVPR Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi
2022	J	`jnl`	Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. CoRR Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi
2022	J	`jnl`	LUMix: Improving Mixup by Better Modelling Label Uncertainty. CoRR Shuyang Sun, Jieneng Chen, Ruifei He, Alan L. Yuille, Philip H. S. Torr, Song Bai
2022	J	`jnl`	Vertical Layering of Quantized Neural Networks for Heterogeneous Inference. CoRR Hai Wu, Ruifei He, Haoru Tan, Xiaojuan Qi, Kaibin Huang
2021	A*	`conf`	Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. ICCV Ruifei He, Jihan Yang, Xiaojuan Qi
2021	J	`jnl`	Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. CoRR Ruifei He, Jihan Yang, Xiaojuan Qi
2020	A*	`conf`	Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. CVPR Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang
2020	J	`jnl`	Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation. CoRR Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang