Bingxin Xu

According to our database, Bingxin Xu authored at least 38 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reconstructing damaged fNIRS signals with a generative deep learning model.

Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, Fei Wan, Peisong Niu, Haijing Niu

Artif. Intell. Rev., February, 2025

2024

TSD-YOLO: Small traffic sign detection based on improved YOLO v8.

Songjie Du, Weiguo Pan, Nuoya Li, Songyin Dai, Bingxin Xu, Hongzhe Liu, Cheng Xu, Xuewei Li

IET Image Process., September, 2024

PSC diffusion: patch-based simplified conditional diffusion model for low-light image enhancement.

Fei Wan, Bingxin Xu, Weiguo Pan, Hongzhe Liu

Multim. Syst., August, 2024

FSKT-GE: Feature maps similarity knowledge transfer for low-resolution gaze estimation.

Chao Yan, Weiguo Pan, Songyin Dai, Bingxin Xu, Cheng Xu, Hongzhe Liu, Xuewei Li

IET Image Process., May, 2024

Combined spatial and frequency dual stream network for face forgery detection.

Hui Zhao, Xin Li, Bingxin Xu, Hongzhe Liu

PeerJ Comput. Sci., 2024

TSIC-CLIP: Traffic Scene Image Captioning Model Based on Clip.

Hao Zhang, Cheng Xu, Bingxin Xu, Muwei Jian, Hongzhe Liu, Xuewei Li

Inf. Technol. Control., 2024

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling.

Zhihang Yuan, Yuzhang Shang, Hanling Zhang, Tongcheng Fang, Rui Xie, Bingxin Xu, Yan Yan, Shengen Yan, Guohao Dai, Yu Wang

CoRR, 2024

freePruner: A Training-free Approach for Large Multimodal Model Acceleration.

Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan

CoRR, 2024

Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner.

Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan

CoRR, 2024

Technique Report of CVPR 2024 PBDL Challenges.

Ying Fu, Yu Li, Shaodi You, Boxin Shi, Jose Alvarez, Coert Van Gemeren, Linwei Chen, Yunhao Zou, Zichun Wang, Yichen Li, Yuze Han, Yingkai Zhang, Jianan Wang, Qinglin Liu, Wei Yu, Xiaoqian Lv, Jianing Li, Shengping Zhang, Xiangyang Ji, Yuanpei Chen, Yuhan Zhang, Weihang Peng, Liwen Zhang, Zhe Xu, Dingyong Gou, Cong Li, Senyan Xu, Yunkang Zhang, Siyuan Jiang, Xiaoqiang Lu, Licheng Jiao, Fang Liu, Xu Liu, Lingling Li, Wenping Ma, Shuyuan Yang, Haiyang Xie, Jian Zhao, Shihuang Huang, Peng Cheng, Xi Shen, Zheng Wang, Shuai An, Caizhi Zhu, Xuelong Li, Tao Zhang, Liang Li, Yu Liu, Chenggang Yan, Gengchen Zhang, Linyan Jiang, Bingyi Song, Zhuoyu An, Haibo Lei, Qing Luo, Jie Song, Yuan Liu, Qihang Li, Haoyuan Zhang, Lingfeng Wang, Wei Chen, Aling Luo, Cheng Li, Jun Cao, Shu Chen, Zifei Dou, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Xuejian Gou, Qinliang Wang, Yang Liu, Shizhan Zhao, Yanzhao Zhang, Libo Yan, Yuwei Guo, Guoxin Li, Qiong Gao, Chenyue Che, Long Sun, Xiang Chen, Hao Li, Jinshan Pan, Chuanlong Xie, Hongming Chen, Mingrui Li, Tianchen Deng, Jingwei Huang, Yufeng Li, Fei Wan, Bingxin Xu, Jian Cheng, Hongzhe Liu, Cheng Xu, Yuxiang Zou, Weiguo Pan, Songyin Dai, Sen Jia, Junpei Zhang

CoRR, 2024

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models.

Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan

CoRR, 2024

A Survey of Automatic Driving Environment Perception.

Hui Zhao, Xin Li, Cheng Xu, Bingxin Xu, Hongzhe Liu

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2023

Causal-DFQ: Causality Guided Data-free Network Quantization.

Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning.

Qian Yin, Bingxin Xu, Kaiyan Zhou, Ping Guo

IEEE Trans. Cybern., 2022

2021

An ECG Denoising Method Based on the Generative Adversarial Residual Network.

Bingxin Xu, Ruixia Liu, Minglei Shu, Xiaoyi Shang, Yinglong Wang

Comput. Math. Methods Medicine, 2021

2020

Traffic Sign Detection via Efficient ROI Detector and Deep Convolution Neural Network.

Weiguo Pan, En Fu, Bingxin Xu, Songyin Dai, Feng Pan

Int. J. Perform. Eng., 2020

Generalized Linear Optical Sampling Technique Realized by Using Non-Pulse Electro-Optic Frequency Comb Sampling Source.

Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He

IEEE Access, 2020

Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring.

Yuzhu Guo, Gang Wang, Lianyong Li, Lei Wang, Lipeng Wang, Simeng Li, Zhezhe Sun, Changmin Qu, Hongdan Liu, Haolun Han, Changqing Zhong, Bingxin Xu, Baowei Li, Xinwei Bao, Ying Zhou, Xiaoli Zhang, Wei Wu

IEEE Access, 2020

2019

Multi-channel expected patch log likelihood for color image denoising.

Xiuling Zhou, Bingxin Xu, Ping Guo, Ning He

Neurocomputing, 2019

Generalized Linear Optical Sampling Technique Realized by Using Repetitive Arbitrary Waveform as Sampling Signal.

Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Electro-optic Dual-comb Spectroscopy with 1 MHz Resolution and 100 GHz Bandwidth.

Maohuan Liu, Xinyu Fan, Shuai Wang, Bingxin Xu, Zuyuan He

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Deep Sparse Representation Classification with Stacked Autoencoder.

Bingxin Xu, Xiuling Zhou

Proceedings of the 15th International Conference on Computational Intelligence and Security, 2019

2018

Broad and Pseudoinverse Learning for Autoencoder.

Bingxin Xu, Ping Guo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Simultaneous 40-channel DWDM-DPSK Signal Monitoring System Realized by Using Single-Channel Linear Optical Sampling Technique.

Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He

Proceedings of the Optical Fiber Communications Conference and Exposition, 2018

Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training.

Bingxin Xu, Ping Guo

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Image representation via sub-dictionary based sparse coding.

Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2014

An adaptive regularization method for sparse representation.

Bingxin Xu, Ping Guo, C. L. Philip Chen

Integr. Comput. Aided Eng., 2014

2013

Combining affinity propagation with supervised dictionary learning for image classification.

Bingxin Xu, Rukun Hu, Ping Guo

Neural Comput. Appl., 2013

Multi-objective cost-sensitive attribute reduction.

Bingxin Xu, Huiping Chen, William Zhu, Xiaozhong Zhu

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Kernel Based Weighted Group Sparse Representation Classifier.

Bingxin Xu, Ping Guo, C. L. Philip Chen

Proceedings of the Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 2013

2012

Guaranteeing High-Level Behaviors while Exploring Partially Known Maps.

Shahar Sarid, Bingxin Xu, Hadas Kress-Gazit

Proceedings of the Robotics: Science and Systems VIII, 2012

Avoiding forgetfulness: Structured English specifications for high-level robot control with implicit memory.

Vasumathi Raman, Bingxin Xu, Hadas Kress-Gazit

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011

A Generalized Subspace Projection Approach for Sparse Representation Classification.

Bingxin Xu, Ping Guo

Proceedings of the Neural Information Processing - 18th International Conference, 2011

Sparse Representation for Multi-Label Image Annotation.

Bingxin Xu, Ping Guo

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies.

Huaiying Xia, Rukun Hu, Bingxin Xu, Ping Guo

Proceedings of the IEEE International Conference on Systems, 2010

Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification.

Guangjun Lv, Qian Yin, Bingxin Xu, Ping Guo

Proceedings of the Advances in Neural Networks, 2010

Kernel ICA applied to feature extraction for image annotation.

Bingxin Xu, Ping Guo

Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

2009

Using SVM to Organize the Image Database.

Bingxin Xu, Qian Yin, Guangjun Lv

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009