Bingyuan Liu - RankMe

33 papers A* 2B 1Misc 1Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Neighbor-aware calibration of segmentation networks with penalty-based constraints. Medical Image Anal. Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2024	—	`conf`	Collaborative Prediction of Baseline Functions of Wind, Coal and Water Based on Stacked Generalized Integrated Learning for a Coal-fired Plant. DTPI Zhihao Zhang, Lin Wang, Kai Deng, Bingyuan Liu, Yaokui Gao, Yang Xianglei, Jun Li, Lin Gao, Ming Liu
2024	J	`jnl`	Do we really need dice? The hidden region-size biases of segmentation losses. Medical Image Anal. Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2024	J	`jnl`	Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints. CoRR Balamurali Murugesan, Sukesh Adiga Vasudeva, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2024	J	`jnl`	Reducing Distraction in Long-Context Language Models by Focused Learning. CoRR Zijun Wu, Bingyuan Liu, Ran Yan, Lei Chen, Thomas Delteil
2023	J	`jnl`	Calibrating segmentation networks with margin-based label smoothing. Medical Image Anal. Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2023	A*	`conf`	Class Adaptive Network Calibration. CVPR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2023	J	`jnl`	GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
2023	—	`conf`	Operation Optimization of Air Cooling System Based on Random Forest Algorithm. DTPI Wenyu Wang, Feng Chen, Lin Gao, Yanjun Guo, Linjuan Gong, Xianrong Zhang, Lin Wang, Jun Li, Haidong Gao, Bingyuan Liu
2023	J	`jnl`	Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. Medical Image Anal. Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2023	—	`conf`	Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. MICCAI (3) Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Herve Lombaert, Ismail Ben Ayed, Jose Dolz
2023	J	`jnl`	Trust your neighbours: Penalty-based constraints for model calibration. CoRR Balamurali Murugesan, Sukesh Adiga V, Bingyuan Liu, Hervé Lombaert, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. INFORMS J. Optim. Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
2022	J	`jnl`	Calibrating Segmentation Networks with Margin-based Label Smoothing. CoRR Balamurali Murugesan, Bingyuan Liu, Adrian Galdran, Ismail Ben Ayed, Jose Dolz
2022	J	`jnl`	Class Adaptive Network Calibration. CoRR Bingyuan Liu, Jérôme Rony, Adrian Galdran, Jose Dolz, Ismail Ben Ayed
2022	J	`jnl`	GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu
2022	J	`jnl`	Improving neural network robustness through neighborhood preserving layers. Image Vis. Comput. Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2022	A*	`conf`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CVPR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021	J	`jnl`	Improving Neural Network Robustness through Neighborhood Preserving Layers. CoRR Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2021	J	`jnl`	Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. CoRR Bingyuan Liu, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz
2021	J	`jnl`	The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. CoRR Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz
2021	J	`jnl`	The hidden label-marginal biases of segmentation losses. CoRR Bingyuan Liu, Jose Dolz, Adrian Galdran, Riadh Kobbi, Ismail Ben Ayed
2020	J	`jnl`	A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. CoRR Zhongruo Wang, Bingyuan Liu, Shixiang Chen, Shiqian Ma, Lingzhou Xue, Hongyu Zhao
2020	—	`conf`	Improving Neural Network Robustness Through Neighborhood Preserving Layers. ICPR Workshops (6) Bingyuan Liu, Christopher Malon, Lingzhou Xue, Erik Kruus
2019	J	`jnl`	Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset. CoRR Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou
2015	J	`jnl`	Detection guided deconvolutional network for hierarchical feature learning. Pattern Recognit. Jing Liu, Bingyuan Liu, Hanqing Lu
2015	—	`conf`	Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. CLEF (Working Notes) Yong Li, Jing Liu, Yuhang Wang, Bingyuan Liu, Jun Fu, Yunze Gao, Hui Wu, Hang Song, Peng Ying, Hanqing Lu
2015	J	`jnl`	Learning representative and discriminative image representation by deep appearance and spatial coding. Comput. Vis. Image Underst. Bingyuan Liu, Jing Liu, Hanqing Lu
2014	J	`jnl`	Adaptive spatial partition learning for image classification. Neurocomputing Bingyuan Liu, Jing Liu, Hanqing Lu
2014	—	`conf`	Image Representation Learning by Deep Appearance and Spatial Coding. ACCV (1) Bingyuan Liu, Jing Liu, Zechao Li, Hanqing Lu
2014	—	`conf`	Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. ACCV (1) Bingyuan Liu, Jing Liu, Jinqiao Wang, Hanqing Lu
2014	B	`conf`	Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. ICPR Bingyuan Liu, Jing Liu, Xiao Bai, Hanqing Lu
2013	Misc	`conf`	Robust Feature Encoding with Neighborhood Information for Image Classification. ICIG Bingyuan Liu, Jing Liu, Chunjie Zhang, Maolin Chen, Hanqing Lu