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Xinying Xu
Title：Professor Education：Ph.D
Research Area：Computer Vision, Big Data and Intelligent Control
  • Biography
  • Publications
    Prof Xinying Xu received his BEng degree, Master degree and PhD degree from Taiyuan University of Technology, China, in 2002, 2005, 2009, respectively. He is presently working as a Professor in the College of Electrical and Power Engineering, Taiyuan University of Technology. His research interests include computer vision, big data and intelligent control. He has published over 80 papers in the journals and conferences.
    (1) Xinying Xu, Yujing Xue, Xiaoxia Han, et al. Weakly Supervised Conditional Random Fields Model for Semantic Segmentation with Image Patches[J]. Applied Sciences. 2020; 10(5):1679.
    (2) Zhou, Jianwen; Zhao, Wenjing; Guo, Lei; Xu, Xinying; Xie, Gang. Real time detection of surface defects with inception-based MobileNet-SSD detection network[J]. Advances in Brain Inspired Cognitive Systems. 2020:510-519.
    (3) Guo, Lei; Xie, Gang; Xu, Xinying; Ren, Jinchang. Exemplar-Supported Representation for Effective Class-Incremental Learning[J]. IEEE ACCESS, 2020, 8: 51276-51284.
    (4) Lei Guo, Xinying Xu, Gang Xie, Jerry Gao, Jianbiao Zhang. Conceptual Cognitive Modeling for Fine-Grained Annotation Quality Assessment of Object Detection Datasets[J]. Discrete Dynamics in Nature and Society, 2020.
    (5) Viet Khanh Ha, Jinchang Ren, Xinying Xu, Wenzhi Liao, Sophia Zhao, Jie Ren, Gaowei Yan. Optimized highway deep learning network for fast single image super-resolution reconstruction[J]. Journal of Real-Time Image Processing,2020(2).
    (6) Songzhou Li, Gang Xie, Jinchang Ren, Lei Guo, Yunyun Yang, Xinying Xu. Urban PM2.5 Concentration Prediction via Attention-Based CNN–LSTM[J]. Applied Sciences,2020,10(6): 1953.
    (7) Gaowei Yan, Songda Jia, Jie Ding, Xinying Xu, Yusong Pang. A time series forecasting based on cloud model similarity measurement[J]. SOFT COMPUTING, 2019, 23(14): 5443-5454.
    (8) Fang, Jing; Xu, Xinying; Liu, Huaping; Sun, Fuchun. Local receptive field based extreme learning machine with three channels for histopathological image classification[J]. International Journal of Machine Learning and Cybernetics, 2019, 10(6): 1437-1447.
    (9) Xie, Xinlin; Xie, Gang; Xu, Xinying; Cui, Lei. Adaptive high-precision superpixel segmentation[J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78(9): 12353-12371.
    (10) Xinying Xu, Qi Chen, Mifeng Ren, et al. Combustion Optimization for Coal Fired Power Plant Boilers Based on Improved Distributed ELM and Distributed PSO[J]. ENERGIES, 2019, 12(6).
    (11) Li, Fengxue; Liu, Huaping; Xu, Xinying; Sun, Fuchun. Haptic recognition using hierarchical extreme learning machine with local-receptive-field[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 10(3): 541-547.
    (12) Dou, Xiang; Xu, Xinying; Liu, Huaping. In-hand Manipulation for Active Object Recognition[C]. INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2019, PT I, 2019, 11740: 427-438.
    (13) Xu, Xinying; Li, Guiqing; Xie, Gang; Ren, Jinchang; Xie, Xinlin. Weakly Supervised Deep Semantic Segmentation Using CNN and ELM with Semantic Candidate Regions[J]. Complexity,
    (14) Xie, Xinlin; Xie, Gang; Xu, Xinying; Cui, Lei; Ren, Jinchang. Automatic Image Segmentation With Superpixels and Image-Level Lables[J]. IEEE ACCESS, 2019, 7: 10999-11009. [15]    Z. Wang, H. H. Liu and Xu X. Broad Learning for Robotic Material Recognition[C]. 2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019: 1917-1922.
    (15)    Z. Wang, H. H. Liu and Xu X. Broad Learning for Robotic Material Recognition[C]. 2019 Chinese Automation Congress (CAC), Hangzhou, China, 2019: 1917-1922.
    (16) Xinying Xu, Jing Fang, Qi Li, Gang Xie, Mifeng Ren. Multi-scale Local Receptive Field Based Online Sequential Extreme Learning Machine for Material Classification[C]. Cognitive Systems and Signal Processing,2019.
    (17) Ha V K, Ren J C, Xu X Y, et al. Deep Learning Based Single Image Super-resolution: A Survey[J]. International Journal of Automation and Computing, 2019, 16(4):413-426.
    (18) Yue Xi, Jiangbin Zheng, Xiuxiu Li, Xinying Xu, Jinchang Ren, Gang Xie. SR-POD: Sample rotation based on principal-axis orientation distribution for data augmentation in deep object detection[J]. Cognitive Systems Research, 2018, 52: 144-154.  
    (19) Liu, Huaping; Fang, Jing; Xu, Xinying; Sun, Fuchun. Surface Material Recognition Using Active Multi-modal Extreme Learning Machine[J]. Cognitive Computation, 2018, 10(6): 937-950.
    (20) Xinlin Xie, Gang Xie, Xinying Xu. High precision image segmentation algorithm using SLIC and neighborhood rough set[J]. Multimedia Tools and Applications, 2018, 77(24): 31525-31543.
    (21) Xu, Xinying; Zhao, Yalan; Ren, Mifeng; Cheng, Lan; Gong, Mingyue. SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays[J]. Entropy, 2018, 20(7).
    (22) Liu, Huaping; Li, Fengxue; Xu, Xinying; Sun, Fuchun. Active object recognition using hierarchical local-receptive-field-based extreme learning machine[J]. Memetic Computing, 2018, 10(2): 233-241.
    (23) Liu, Huaping; Li, Fengxue; Xu, Xinying; Sun, Fuchun. Multi-modal local receptive field extreme learning machine for object recognition[J]. Neurocomputing, 2018, 277:4-11.  
    (24) Wang, Kai; Cheng, Lan; Xu, Xinying; Li, Dengao. Complexity Reduction of the Received Signal in the Presence of Multipath[C]. 2018 37th Control Conference(CCC), 2018, 4271-4276.
    (25) Xinying Xu, Yanyun Zhang, Mifeng Ren, Jianhua Zhang, Gaowei Yan. Generalized Correntropy Filter-Based Fault Diagnosis and Tolerant Control for Non-Gaussian Stochastic Systems Subject to Sensor Faults[J]. IEEE ACCESS, 2018, 6: 12598-12607.
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