Robust Feature Encoding with Neighborhood Information for Image Classification. - Bingyuan Liu; Jing Liu 001; Chunjie Zhang; Maolin Chen; Hanqing Lu (ICIG, 2013)

Image Representation Learning by Deep Appearance and Spatial Coding. - Bingyuan Liu; Jing Liu 001; Zechao Li; Hanqing Lu (ACCV (1), 2014)

Learning a Representative and Discriminative Part Model with Deep Convolutional Features for Scene Recognition. - Bingyuan Liu; Jing Liu 001; Jinqiao Wang; Hanqing Lu (ACCV (1), 2014)

Regularized Hierarchical Feature Learning with Non-negative Sparsity and Selectivity for Image Classification. - Bingyuan Liu; Jing Liu 001; Xiao Bai 001; Hanqing Lu (ICPR, 2014)

Adaptive spatial partition learning for image classification. - Bingyuan Liu; Jing Liu 001; Hanqing Lu (Neurocomputing, 2014)

Hybrid Learning Framework for Large-Scale Web Image Annotation and Localization. - Yong Li 034; Jing Liu 001; Yuhang Wang; Bingyuan Liu; Jun Fu 005; Yunze Gao; Hui Wu; Hang Song; Peng Ying; Hanqing Lu (CLEF (Working Notes), 2015)

Learning representative and discriminative image representation by deep appearance and spatial coding. - Bingyuan Liu; Jing Liu 001; Hanqing Lu (Comput. Vis. Image Underst., 2015)

Detection guided deconvolutional network for hierarchical feature learning. - Jing Liu 001; Bingyuan Liu; Hanqing Lu (Pattern Recognit., 2015)

Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset. - Bingyuan Liu; Jiantao Zhang; Xiaoting Zhang; Wei Zhang; Chuanhui Yu; Yuan Zhou (CoRR, 2019)

The hidden label-marginal biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (CoRR, 2021)

Mixed-supervised segmentation: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (CoRR, 2021)

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. - Bingyuan Liu; Ismail Ben Ayed; Adrian Galdran; Jose Dolz (CVPR, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu; Wensai Wang; et al. (CoRR, 2022)

Improving neural network robustness through neighborhood preserving layers. - Bingyuan Liu; Christopher Malon; Lingzhou Xue; Erik Kruus (Image Vis. Comput., 2022)

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis. - Zhongruo Wang; Bingyuan Liu; Shixiang Chen; Shiqian Ma; Lingzhou Xue; Hongyu Zhao 003 (INFORMS J. Optim., 2022)

Class Adaptive Network Calibration. - Bingyuan Liu; Jérôme Rony; Adrian Galdran; Jose Dolz; Ismail Ben Ayed (CVPR, 2023)

Operation Optimization of Air Cooling System Based on Random Forest Algorithm. - Wenyu Wang; Feng Chen; Lin Gao; Yanjun Guo; Linjuan Gong; Xianrong Zhang; Lin Wang; Jun Li; Haidong Gao; Bingyuan Liu (DTPI, 2023)

Trust Your Neighbours: Penalty-Based Constraints for Model Calibration. - Balamurali Murugesan; Sukesh Adiga V; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (MICCAI (3), 2023)

Segmentation with mixed supervision: Confidence maximization helps knowledge distillation. - Bingyuan Liu; Christian Desrosiers; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

Calibrating segmentation networks with margin-based label smoothing. - Balamurali Murugesan; Bingyuan Liu; Adrian Galdran; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu; Wensai Wang; et al. (Medical Image Anal., 2023)

Collaborative Prediction of Baseline Functions of Wind, Coal and Water Based on Stacked Generalized Integrated Learning for a Coal-fired Plant. - Zhihao Zhang; Lin Wang; Kai Deng; Bingyuan Liu; Yao Kuigao; Yang Xianglei; Jun Li; Lin Gao; Ming Liu (DTPI, 2024)

Reducing Distraction in Long-Context Language Models by Focused Learning. - Zijun Wu; Bingyuan Liu; Ran Yan; Lei Chen; Thomas Delteil (CoRR, 2024)

Do we really need dice? The hidden region-size biases of segmentation losses. - Bingyuan Liu; Jose Dolz; Adrian Galdran; Riadh Kobbi; Ismail Ben Ayed (Medical Image Anal., 2024)

Neighbor-aware calibration of segmentation networks with penalty-based constraints. - Balamurali Murugesan; Sukesh Adiga Vasudeva; Bingyuan Liu; Herve Lombaert; Ismail Ben Ayed; Jose Dolz (Medical Image Anal., 2025)