Using SVM to Organize the Image Database. - Bingxin Xu; Qian Yin 001; Guangjun Lv (CIS (1), 2009)

Kernel ICA applied to feature extraction for image annotation. - Bingxin Xu; Ping Guo 002 (ISDA, 2010)

Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. - Guangjun Lv; Qian Yin 001; Bingxin Xu; Ping Guo 002 (ISNN (2), 2010)

Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies. - Huaiying Xia; Rukun Hu; Bingxin Xu; Ping Guo 002 (SMC, 2010)

Sparse Representation for Multi-Label Image Annotation. - Bingxin Xu; Ping Guo 002 (CIS, 2011)

A Generalized Subspace Projection Approach for Sparse Representation Classification. - Bingxin Xu; Ping Guo 002 (ICONIP (2), 2011)

Avoiding forgetfulness: Structured English specifications for high-level robot control with implicit memory. - Vasumathi Raman; Bingxin Xu; Hadas Kress-Gazit (IROS, 2012)

Guaranteeing High-Level Behaviors while Exploring Partially Known Maps. - Shahar Sarid; Bingxin Xu; Hadas Kress-Gazit (Robotics: Science and Systems, 2012)

Kernel Based Weighted Group Sparse Representation Classifier. - Bingxin Xu; Ping Guo 002; C. L. Philip Chen (HCI (5), 2013)

Multi-objective cost-sensitive attribute reduction. - Bingxin Xu; Huiping Chen; William Zhu 001; Xiaozhong Zhu (IFSA/NAFIPS, 2013)

Combining affinity propagation with supervised dictionary learning for image classification. - Bingxin Xu; Rukun Hu; Ping Guo 002 (Neural Comput. Appl., 2013)

An adaptive regularization method for sparse representation. - Bingxin Xu; Ping Guo 002; C. L. Philip Chen (Integr. Comput. Aided Eng., 2014)

Image representation via sub-dictionary based sparse coding. - Bingxin Xu; Qian Yin 001; Ping Guo 002; Hongzhe Liu (IJCNN, 2016)

Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. - Bingxin Xu; Ping Guo 002 (CEC, 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 (OFC, 2018)

Broad and Pseudoinverse Learning for Autoencoder. - Bingxin Xu; Ping Guo 002 (SMC, 2018)

Deep Sparse Representation Classification with Stacked Autoencoder. - Bingxin Xu; Xiuling Zhou (CIS, 2019)

Electro-optic Dual-comb Spectroscopy with 1 MHz Resolution and 100 GHz Bandwidth. - Maohuan Liu; Xinyu Fan; Shuai Wang; Bingxin Xu; Zuyuan He (OECC/PSC, 2019)

Generalized Linear Optical Sampling Technique Realized by Using Repetitive Arbitrary Waveform as Sampling Signal. - Bingxin Xu; Xinyu Fan; Shuai Wang; Zuyuan He (OECC/PSC, 2019)

Multi-channel expected patch log likelihood for color image denoising. - Xiuling Zhou; Bingxin Xu; Ping Guo 002; Ning He (Neurocomputing, 2019)

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; et al. (IEEE Access, 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)

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)

An ECG Denoising Method Based on the Generative Adversarial Residual Network. - Bingxin Xu; Ruixia Liu; Minglei Shu; Xiaoyi Shang; Yinglong Wang 001 (Comput. Math. Methods Medicine, 2021)

Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning. - Qian Yin 001; Bingxin Xu; Kaiyan Zhou; Ping Guo 002 (IEEE Trans. Cybern., 2022)

Causal-DFQ: Causality Guided Data-free Network Quantization. - Yuzhang Shang; Bingxin Xu; Gaowen Liu; Ramana Rao Kompella; Yan Yan 002 (ICCV, 2023)

A Survey of Automatic Driving Environment Perception. - Hui Zhao; Xin Li; Cheng Xu 005; Bingxin Xu; Hongzhe Liu (QRS Companion, 2024)

LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. - Yuzhang Shang; Mu Cai; Bingxin Xu; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

Technique Report of CVPR 2024 PBDL Challenges. - Ying Fu 001; Yu Li 003; Shaodi You; Boxin Shi; Jose Alvarez; Coert Van Gemeren; Linwei Chen; Yunhao Zou; Zichun Wang; Yichen Li; Yuze Han; Yingkai Zhang; et al. (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 003; Kurt Keutzer; Yong Jae Lee; Yan Yan 002 (CoRR, 2024)

freePruner: A Training-free Approach for Large Multimodal Model Acceleration. - Bingxin Xu; Yuzhang Shang; Yunhao Ge; Qian Lou; Yan Yan 002 (CoRR, 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 002; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

SFDiff: Diffusion model with sufficient spatial-Fourier frequency information interaction for low-light image enhancement. - Fei Wan; Bingxin Xu; Jingli Yao; Lu Zeng; Weiguo Pan; Hongzhe Liu (IET Image Process., 2024)

TSIC-CLIP: Traffic Scene Image Captioning Model Based on Clip. - Hao Zhang; Cheng Xu 005; Bingxin Xu; Muwei Jian; Hongzhe Liu; Xuewei Li 006 (Inf. Technol. Control., 2024)

Combined spatial and frequency dual stream network for face forgery detection. - Hui Zhao; Xin Li; Bingxin Xu; Hongzhe Liu (PeerJ Comput. Sci., 2024)

FSKT-GE: Feature maps similarity knowledge transfer for low-resolution gaze estimation. - Chao Yan; Weiguo Pan; Songyin Dai; Bingxin Xu; Cheng Xu 005; Hongzhe Liu; Xuewei Li 006 (IET Image Process., 2024)

PSC diffusion: patch-based simplified conditional diffusion model for low-light image enhancement. - Fei Wan; Bingxin Xu; Weiguo Pan; Hongzhe Liu (Multim. Syst., 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 005; Xuewei Li 006 (IET Image Process., 2024)

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Florin-Alexandru Vasluianu; Hailong Yan; Bin Ren; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Kangbiao Shi; Yixu Feng; et al. (CVPR Workshops, 2025)

DAN: Distortion-aware Network for fisheye image rectification using graph reasoning. - Yongjia Yan; Hongzhe Liu; Cheng Zhang; Cheng Xu 005; Bingxin Xu; Weiguo Pan; Songyin Dai; Yiqing Song (Image Vis. Comput., 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., 2025)

Generalization-oriented face forgery detection via discriminative feature analysis and normalization. - Xin Li; Bingxin Xu; Hongzhe Liu; Weiguo Pan; Cheng Xu 005 (Multim. Syst., 2025)