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2020 – today
- 2025
[j14]Yingxu Zhi, Baiqiang Zhang, Bingxin Xu, Fei Wan, Peisong Niu, Haijing Niu:
Reconstructing damaged fNIRS signals with a generative deep learning model. Artif. Intell. Rev. 58(2): 58 (2025)- 2024
- [j13]Chao Yan
, Weiguo Pan, Songyin Dai, Bingxin Xu, Cheng Xu, Hongzhe Liu, Xuewei Li:
FSKT-GE: Feature maps similarity knowledge transfer for low-resolution gaze estimation. IET Image Process. 18(6): 1642-1654 (2024) - [j12]Songjie Du, Weiguo Pan, Nuoya Li, Songyin Dai, Bingxin Xu, Hongzhe Liu, Cheng Xu, Xuewei Li:
TSD-YOLO: Small traffic sign detection based on improved YOLO v8. IET Image Process. 18(11): 2884-2898 (2024) - [j11]Hao Zhang, Cheng Xu, Bingxin Xu, Muwei Jian, Hongzhe Liu, Xuewei Li:
TSIC-CLIP: Traffic Scene Image Captioning Model Based on Clip. Inf. Technol. Control. 53(1): 98-114 (2024) - [j10]Fei Wan, Bingxin Xu, Weiguo Pan, Hongzhe Liu:
PSC diffusion: patch-based simplified conditional diffusion model for low-light image enhancement. Multim. Syst. 30(4): 187 (2024) - [j9]Hui Zhao, Xin Li, Bingxin Xu, Hongzhe Liu:
Combined spatial and frequency dual stream network for face forgery detection. PeerJ Comput. Sci. 10: e1959 (2024) - [c19]Hui Zhao, Xin Li, Cheng Xu, Bingxin Xu, Hongzhe Liu:
A Survey of Automatic Driving Environment Perception. QRS Companion 2024: 1038-1047 - [i5]Yuzhang Shang, Mu Cai, Bingxin Xu, Yong Jae Lee, Yan Yan:
LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models. CoRR abs/2403.15388 (2024) - [i4]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:
Technique Report of CVPR 2024 PBDL Challenges. CoRR abs/2406.10744 (2024) - [i3]Yuzhang Shang, Bingxin Xu, Weitai Kang, Mu Cai, Yuheng Li, Zehao Wen, Zhen Dong, Kurt Keutzer, Yong Jae Lee, Yan Yan:
Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner. CoRR abs/2409.12963 (2024) - [i2]Bingxin Xu, Yuzhang Shang, Yunhao Ge, Qian Lou, Yan Yan:
freePruner: A Training-free Approach for Large Multimodal Model Acceleration. CoRR abs/2411.15446 (2024) - 2023
- [c18]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. ICCV 2023: 17391-17400 - [i1]Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Kompella, Yan Yan:
Causal-DFQ: Causality Guided Data-free Network Quantization. CoRR abs/2309.13682 (2023) - 2022
- [j8]Qian Yin, Bingxin Xu, Kaiyan Zhou, Ping Guo:
Bayesian Pseudoinverse Learners: From Uncertainty to Deterministic Learning. IEEE Trans. Cybern. 52(11): 12205-12216 (2022) - 2021
- [j7]Bingxin Xu, Ruixia Liu, Minglei Shu, Xiaoyi Shang, Yinglong Wang:
An ECG Denoising Method Based on the Generative Adversarial Residual Network. Comput. Math. Methods Medicine 2021: 5527904:1-5527904:23 (2021) - 2020
- [j6]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:
Machine Learning Aided Diagnosis of Diseases Without Clinical Gold Standard: A New Score for Laryngopharyngeal Reflux Disease Based on pH Monitoring. IEEE Access 8: 67005-67014 (2020) - [j5]Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He:
Generalized Linear Optical Sampling Technique Realized by Using Non-Pulse Electro-Optic Frequency Comb Sampling Source. IEEE Access 8: 114259-114265 (2020) - [j4]Weiguo Pan, En Fu, Bingxin Xu, Songyin Dai, Feng Pan:
Traffic Sign Detection via Efficient ROI Detector and Deep Convolution Neural Network. Int. J. Perform. Eng. 16(10): 1566-1578 (2020)
2010 – 2019
- 2019
- [j3]Xiuling Zhou, Bingxin Xu, Ping Guo, Ning He:
Multi-channel expected patch log likelihood for color image denoising. Neurocomputing 367: 130-143 (2019) - [c17]Bingxin Xu, Xiuling Zhou:
Deep Sparse Representation Classification with Stacked Autoencoder. CIS 2019: 73-77 - [c16]Maohuan Liu, Xinyu Fan, Shuai Wang, Bingxin Xu, Zuyuan He:
Electro-optic Dual-comb Spectroscopy with 1 MHz Resolution and 100 GHz Bandwidth. OECC/PSC 2019: 1-3 - [c15]Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He:
Generalized Linear Optical Sampling Technique Realized by Using Repetitive Arbitrary Waveform as Sampling Signal. OECC/PSC 2019: 1-3 - 2018
- [c14]Bingxin Xu, Ping Guo:
Pseudoinverse Learning Algorithom for Fast Sparse Autoencoder Training. CEC 2018: 1-6 - [c13]Bingxin Xu, Xinyu Fan, Shuai Wang, Zuyuan He:
Simultaneous 40-channel DWDM-DPSK Signal Monitoring System Realized by Using Single-Channel Linear Optical Sampling Technique. OFC 2018: 1-3 - [c12]Bingxin Xu, Ping Guo:
Broad and Pseudoinverse Learning for Autoencoder. SMC 2018: 4243-4247 - 2016
- [c11]Bingxin Xu, Qian Yin, Ping Guo, Hongzhe Liu:
Image representation via sub-dictionary based sparse coding. IJCNN 2016: 5113-5118 - 2014
- [j2]Bingxin Xu, Ping Guo, C. L. Philip Chen:
An adaptive regularization method for sparse representation. Integr. Comput. Aided Eng. 21(1): 91-100 (2014) - 2013
- [j1]Bingxin Xu, Rukun Hu, Ping Guo:
Combining affinity propagation with supervised dictionary learning for image classification. Neural Comput. Appl. 22(7-8): 1301-1308 (2013) - [c10]Bingxin Xu, Ping Guo, C. L. Philip Chen:
Kernel Based Weighted Group Sparse Representation Classifier. HCI (5) 2013: 236-245 - [c9]Bingxin Xu, Huiping Chen, William Zhu, Xiaozhong Zhu:
Multi-objective cost-sensitive attribute reduction. IFSA/NAFIPS 2013: 1377-1381 - 2012
- [c8]Vasumathi Raman, Bingxin Xu, Hadas Kress-Gazit:
Avoiding forgetfulness: Structured English specifications for high-level robot control with implicit memory. IROS 2012: 1233-1238 - [c7]Shahar Sarid, Bingxin Xu, Hadas Kress-Gazit:
Guaranteeing High-Level Behaviors while Exploring Partially Known Maps. Robotics: Science and Systems 2012 - 2011
- [c6]Bingxin Xu, Ping Guo:
Sparse Representation for Multi-Label Image Annotation. CIS 2011: 1215-1219 - [c5]Bingxin Xu, Ping Guo:
A Generalized Subspace Projection Approach for Sparse Representation Classification. ICONIP (2) 2011: 203-210 - 2010
- [c4]Bingxin Xu, Ping Guo:
Kernel ICA applied to feature extraction for image annotation. ISDA 2010: 889-893 - [c3]Guangjun Lv, Qian Yin, Bingxin Xu, Ping Guo:
Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification. ISNN (2) 2010: 33-41 - [c2]Huaiying Xia, Rukun Hu, Bingxin Xu, Ping Guo:
Modeling multi-source remote sensing image classifier based on the MDL principle: Experimental studies. SMC 2010: 1966-1972
2000 – 2009
- 2009
- [c1]Bingxin Xu, Qian Yin, Guangjun Lv:
Using SVM to Organize the Image Database. CIS (1) 2009: 184-187
Coauthor Index
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