Liming Yuan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 48

Top Topics

Wireless Sensor Networks

Fewer Parameters

Instance Selection

Top Venues

Int. J. Mach. Learn. Cybern.

Publications

Guowei Wang, Furong Shi, Xinyu Wang, Haixia Xu, Liming Yuan, Xianbin Wen
LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion. IET Image Process. 18 (9) (2024)
Ruixu Wu, Xianbin Wen, Liming Yuan, Haixia Xu, Yanli Liu
Visual Tracking based on deformable Transformer and spatiotemporal information. Eng. Appl. Artif. Intell. 127 (Part A) (2024)
Xinyu Wang, Haixia Xu, Furong Shi, Liming Yuan, Xianbin Wen
Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Jianze Ren, Chi Zhang, Miao Yang, Liming Yuan, Na Sang, Jianhua Yao
Modeling and control for a long-stroke 4-PPR compliant parallel mechanism. Int. J. Intell. Robotics Appl. 8 (1) (2024)
Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen
A lightweight and stochastic depth residual attention network for remote sensing scene classification. IET Image Process. 17 (11) (2023)
Gengsheng Xie, Xianbin Wen, Liming Yuan, Jianchen Wang, Changlun Guo, Yansong Jia, Minghao Li
Pose-guided feature region-based fusion network for occluded person re-identification. Multim. Syst. 29 (3) (2023)
Liming Yuan, Si-Lu Chen, Chi Zhang, Guilin Yang
Parameter Space Optimization for Robust Controller Synthesis With Structured Feedback Gain. IEEE Trans. Cybern. 53 (11) (2023)
Liming Yuan, Silu Chen, Chi Zhang, Guilin Yang
Structured controller synthesis through block-diagonal factorization and parameter space optimization. Autom. 147 (2023)
Lu Zhao, Liming Yuan, Kun Hao, Xianbin Wen
Generalized attention-based deep multi-instance learning. Multim. Syst. 29 (1) (2023)
Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen
A tiny deep capsule network. Int. J. Mach. Learn. Cybern. 13 (4) (2022)
Yi Ding, Lu Zhao, Liming Yuan, Xianbin Wen
Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification. BIBM (2022)
Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu
STASiamRPN: visual tracking based on spatiotemporal and attention. Multim. Syst. 28 (5) (2022)
Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen
Multiple Regularization and Analysis of Deep Capsule Network. Pattern Anal. Appl. 25 (4) (2022)
Gengsheng Xie, Xianbin Wen, Liming Yuan, Haixia Xu, Zhanlu Liu
Global Correlative Network for Person re-identification. Neurocomputing 469 (2022)
Nan Liang, Liming Yuan, Xianbin Wen, Haixia Xu, Jingyi Wang
End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss. IEEE Access 10 (2022)
Xinyu Wang, Haixia Xu, Liming Yuan, Wei Dai, Xianbin Wen
A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet. Remote. Sens. 14 (20) (2022)
Lu Zhao, Liming Yuan, Zhenliang Li, Xianbin Wen
Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification. BIBM (2022)
Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu
DASFTOT: Dual attention spatiotemporal fused transformer for object tracking. Knowl. Based Syst. 256 (2022)
Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu
Correction: STASiamRPN: visual tracking based on spatiotemporal and attention. Multim. Syst. 28 (5) (2022)
Kun Sun, Xianbin Wen, Liming Yuan, Haixia Xu
Dense capsule networks with fewer parameters. Soft Comput. 25 (10) (2021)
Jianchen Wang, Liming Yuan, Haixia Xu, Gengsheng Xie, Xianbin Wen
Channel-exchanged feature representations for person re-identification. Inf. Sci. 562 (2021)
Xinyu Wang, Liming Yuan, Haixia Xu, Xianbin Wen
CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Minghao Li, Liming Yuan, Xianbin Wen, Jianchen Wang, Gengsheng Xie, Yansong Jia
Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification. IJCNN (2021)
Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen
Deep capsule network regularization based on generative adversarial network framework. J. Electronic Imaging 30 (4) (2021)
Liming Yuan, Guangping Xu, Lu Zhao, Xianbin Wen, Haixia Xu
Multiple-instance learning via multiple-point concept based instance selection. Int. J. Mach. Learn. Cybern. 11 (9) (2020)
Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen
Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification. BIBM (2020)
Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, Xianbin Wen
Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis. BIBM (2020)
Riadh A. Kadhim, Al-Hemeary Nawar, Abdul Kareem K. Abdul, Liming Yuan, Jiang Wu
Optical Fiber Refractive Index Sensor Based on the SPR Using a Multiple D-shaped Ag Nanowire. IEEE SENSORS (2020)
Changlun Guo, Xianbin Wen, Liming Yuan, Haixia Xu
Local-Variance-Based Attention For Visual Tracking. ICME (2020)
Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen
Deep Tensor Capsule Network. IEEE Access 8 (2020)
Guangping Xu, Bo Tang, Liming Yuan, Yanbing Xue, Zan Gao, Salwa Mostafa, Chi Wan Sung
An Incremental Learning Based Edge Caching System: From Modeling to Evaluation. IEEE Access 8 (2020)
Qingxia Meng, Xianbin Wen, Liming Yuan, Haixia Xu
Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features. IEEE Access 7 (2019)
Shanshan Lin, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set. IEEE Access 7 (2019)
Xiaoying Wu, Xianbin Wen, Liming Yuan, Changlun Guo, Haixia Xu
Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images. IEEE Access 7 (2019)
Hao Fan, Guangping Xu, Yi Zhang, Liming Yuan, Yanbing Xue
CSF: An Efficient Parallel Deduplication Algorithm by Clustering Scattered Fingerprints. ISPA/BDCloud/SocialCom/SustainCom (2019)
Shuanke Wang, Zhenhui Du, Liming Yuan, Yiwen Ma, Xiaoyu Wang, Ruiyan Han, Shuo Meng
Measurement of Atmospheric Dimethyl Sulfide with a Distributed Feedback Interband Cascade Laser. Sensors 18 (10) (2018)
Shuo Meng, Zhenhui Du, Liming Yuan, Shuanke Wang, Ruiyan Han, Xiaoyu Wang
Membership Function-Weighted Non-Linear Fitting Method for Optical-Sensing Modeling and Reconstruction. Sensors 18 (11) (2018)
Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
Efficient range-free localization using elliptical distance correction in heterogeneous wireless sensor networks. Int. J. Distributed Sens. Networks 14 (1) (2018)
Liming Yuan, Xianbin Wen, Lu Zhao, Haixia Xu
An Iterative Instance Selection Based Framework for Multiple-Instance Learning. ICTAI (2018)
Jiaxing Liu, Xianbin Wen, Qingxia Meng, Haixia Xu, Liming Yuan
Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model. Remote. Sens. 10 (6) (2018)
Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
Accurate Range-free Localization Based on Quantum Particle Swarm Optimization in Heterogeneous Wireless Sensor Networks. KSII Trans. Internet Inf. Syst. 12 (3) (2018)
Liming Yuan, Xianbin Wen, Haixia Xu, Lu Zhao
Multiple- Instance Learning with Empirical Estimation Guided Instance Selection. ICPR (2018)
Wu Wen, Xianbin Wen, Liming Yuan, Haixia Xu
Range-free localization using expected hop progress in anisotropic wireless sensor networks. EURASIP J. Wirel. Commun. Netw. 2018 (2018)
Jia-Xing Liu, Xianbin Wen, Liming Yuan, Hai-Xia Xu
A robust approach of watermarking in contourlet domain based on probabilistic neural network. Multim. Tools Appl. 76 (22) (2017)
Lu Zhao, Youjian Yu, Hao Chen, Liming Yuan
Improving Multiple-Instance Learning via Disambiguation by Considering Generalization. WICON (2017)
Aobo Zhai, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. Remote. Sens. 9 (10) (2017)
Liming Yuan, Jiafeng Liu, Xianglong Tang, Daming Shi, Lu Zhao
Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning. Int. J. Mach. Learn. Cybern. 6 (1) (2015)
Liming Yuan, Lu Zhao, Haixia Xu
Multi-instance learning via instance-based and bag-based representation transformations. ICIP (2015)
Liming Yuan, Jiafeng Liu, Xianglong Tang
Multiple-instance learning with pairwise instance similarity. Int. J. Appl. Math. Comput. Sci. 24 (3) (2014)
Liming Yuan, Jiafeng Liu, Xianglong Tang
Combining example selection with instance selection to speed up multiple-instance learning. Neurocomputing 129 (2014)
Liming Yuan, Songbo Liu, Qingcheng Huang, Jiafeng Liu, Xianglong Tang
Salient Instance Selection for Multiple-Instance Learning. ICONIP (3) (2012)
Lipeng Yuan, Liming Yuan, Hongying Lu
Energy Optimization with Multi Virtual Gravity for Robotic Gait. ICDMA (2012)
Liming Yuan, Qingcheng Huang, Jiafeng Liu, Xianglong Tang
Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning. IScIDE (2012)