Liming Yuan - RankMe

60 papers A 1B 4Journal 45Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A lightweight enhanced branching attention model for remote sensing scene image classification. Earth Sci. Informatics Huiyue Wang, Xianbin Wen, Haixia Xu, Liming Yuan, Xinyu Wang
2025	J	`jnl`	ACDR-CRAFF Net: A Multi-Scale Network Based on Adaptive Channel and Coordinate Relational Attention Network for Remote Sensing Scene Classification. IET Image Process. Wei Dai, Haixia Xu, Furong Shi, Liming Yuan, Xinyu Wang, Xianbin Wen
2025	J	`jnl`	AIF_Pix2Pix: An Ocean Front Airborne Infrared Image Generation Model. IEEE Access Liming Yuan, Shuai Shan, Zonghao Chi, Kaiguo Fan, Zihao Wang, Mengyue Zhang, Yu Zhang, Biao Chen
2025	J	`jnl`	Hfffap-net: unsupervised fundus image enhancement with high-frequency feature fusion and artifact processing. Multim. Syst. Xiaoming Yang, Liming Yuan, Xianbin Wen
2025	J	`jnl`	PLDF-S IEEE Geosci. Remote. Sens. Lett. Wentao Li, Xinyu Wang, Haixia Xu, Liming Yuan, Furong Shi, Xianbin Wen, Jiao Liu
2024	J	`jnl`	Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xinyu Wang, Furong Shi, Haixia Xu, Liming Yuan, Xianbin Wen
2024	J	`jnl`	LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion. IET Image Process. Guowei Wang, Furong Shi, Xinyu Wang, Haixia Xu, Liming Yuan, Xianbin Wen
2024	J	`jnl`	Modeling and control for a long-stroke 4-PPR compliant parallel mechanism. Int. J. Intell. Robotics Appl. Jianze Ren, Chi Zhang, Miao Yang, Liming Yuan, Na Sang, Jianhua Yao
2024	J	`jnl`	Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification. IEEE Geosci. Remote. Sens. Lett. Xinyu Wang, Haixia Xu, Furong Shi, Liming Yuan, Xianbin Wen
2024	J	`jnl`	Visual Tracking based on deformable Transformer and spatiotemporal information. Eng. Appl. Artif. Intell. Ruixu Wu, Xianbin Wen, Liming Yuan, Haixia Xu, Yanli Liu
2023	J	`jnl`	A lightweight and stochastic depth residual attention network for remote sensing scene classification. IET Image Process. Xinyu Wang, Hai-Xia Xu, Liming Yuan, Xianbin Wen
2023	J	`jnl`	Generalized attention-based deep multi-instance learning. Multim. Syst. Lu Zhao, Liming Yuan, Kun Hao, Xianbin Wen
2023	J	`jnl`	Parameter Space Optimization for Robust Controller Synthesis With Structured Feedback Gain. IEEE Trans. Cybern. Liming Yuan, Si-Lu Chen, Chi Zhang, Guilin Yang
2023	J	`jnl`	Pose-guided feature region-based fusion network for occluded person re-identification. Multim. Syst. Gengsheng Xie, Xianbin Wen, Liming Yuan, Jianchen Wang, Changlun Guo, Yansong Jia, Minghao Li
2023	J	`jnl`	Spatiotemporal key region transformer for visual tracking. Complex Intell. Syst. Ruixu Wu, Xianbin Wen, Liming Yuan, Haixia Xu
2023	J	`jnl`	Structured controller synthesis through block-diagonal factorization and parameter space optimization. Autom. Liming Yuan, Silu Chen, Chi Zhang, Guilin Yang
2022	J	`jnl`	A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet. Remote. Sens. Xinyu Wang, Haixia Xu, Liming Yuan, Wei Dai, Xianbin Wen
2022	J	`jnl`	A tiny deep capsule network. Int. J. Mach. Learn. Cybern. Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen
2022	J	`jnl`	Correction: STASiamRPN: visual tracking based on spatiotemporal and attention. Multim. Syst. Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu
2022	J	`jnl`	DASFTOT: Dual attention spatiotemporal fused transformer for object tracking. Knowl. Based Syst. Ruixu Wu, Xianbin Wen, Liming Yuan, Hai-Xia Xu
2022	—	`conf`	Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification. BIBM Yi Ding, Lu Zhao, Liming Yuan, Xianbin Wen
2022	J	`jnl`	End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss. IEEE Access Nan Liang, Liming Yuan, Xianbin Wen, Haixia Xu, Jingyi Wang
2022	J	`jnl`	Global Correlative Network for Person re-identification. Neurocomputing Gengsheng Xie, Xianbin Wen, Liming Yuan, Haixia Xu, Zhanlu Liu
2022	—	`conf`	Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification. BIBM Lu Zhao, Liming Yuan, Zhenliang Li, Xianbin Wen
2022	J	`jnl`	Multiple Regularization and Analysis of Deep Capsule Network. Pattern Anal. Appl. Kun Sun, Haixia Xu, Liming Yuan, Xianbin Wen
2022	J	`jnl`	STASiamRPN: visual tracking based on spatiotemporal and attention. Multim. Syst. Ruixu Wu, Xianbin Wen, Zhanlu Liu, Liming Yuan, Haixia Xu
2021	J	`jnl`	CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xinyu Wang, Liming Yuan, Haixia Xu, Xianbin Wen
2021	J	`jnl`	Channel-exchanged feature representations for person re-identification. Inf. Sci. Jianchen Wang, Liming Yuan, Haixia Xu, Gengsheng Xie, Xianbin Wen
2021	J	`jnl`	Deep capsule network regularization based on generative adversarial network framework. J. Electronic Imaging Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen
2021	J	`jnl`	Dense capsule networks with fewer parameters. Soft Comput. Kun Sun, Xianbin Wen, Liming Yuan, Haixia Xu
2021	B	`conf`	Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification. IJCNN Minghao Li, Liming Yuan, Xianbin Wen, Jianchen Wang, Gengsheng Xie, Yansong Jia
2020	J	`jnl`	An Incremental Learning Based Edge Caching System: From Modeling to Evaluation. IEEE Access Guangping Xu, Bo Tang, Liming Yuan, Yanbing Xue, Zan Gao, Salwa Mostafa, Chi Wan Sung
2020	—	`conf`	Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification. BIBM Zhenliang Li, Liming Yuan, Haixia Xu, Rui Cheng, Xianbin Wen
2020	J	`jnl`	Deep Tensor Capsule Network. IEEE Access Kun Sun, Liming Yuan, Haixia Xu, Xianbin Wen
2020	—	`conf`	Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis. BIBM Rui Cheng, Liming Yuan, Haixia Xu, Zhenliang Li, Xianbin Wen
2020	A	`conf`	Local-Variance-Based Attention For Visual Tracking. ICME Changlun Guo, Xianbin Wen, Liming Yuan, Haixia Xu
2020	J	`jnl`	Multiple-instance learning via multiple-point concept based instance selection. Int. J. Mach. Learn. Cybern. Liming Yuan, Guangping Xu, Lu Zhao, Xianbin Wen, Haixia Xu
2020	—	`conf`	Optical Fiber Refractive Index Sensor Based on the SPR Using a Multiple D-shaped Ag Nanowire. IEEE SENSORS Riadh A. Kadhim, Nawar Al-Hemeary, Abdul Kareem K. Abdul, Liming Yuan, Jiang Wu
2019	J	`jnl`	A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set. IEEE Access Shanshan Lin, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
2019	—	`conf`	CSF: An Efficient Parallel Deduplication Algorithm by Clustering Scattered Fingerprints. ISPA/BDCloud/SocialCom/SustainCom Hao Fan, Guangping Xu, Yi Zhang, Liming Yuan, Yanbing Xue
2019	J	`jnl`	Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images. IEEE Access Xiaoying Wu, Xianbin Wen, Liming Yuan, Changlun Guo, Haixia Xu
2019	J	`jnl`	Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features. IEEE Access Qingxia Meng, Xianbin Wen, Liming Yuan, Haixia Xu
2018	J	`jnl`	Accurate Range-free Localization Based on Quantum Particle Swarm Optimization in Heterogeneous Wireless Sensor Networks. KSII Trans. Internet Inf. Syst. Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
2018	B	`conf`	An Iterative Instance Selection Based Framework for Multiple-Instance Learning. ICTAI Liming Yuan, Xianbin Wen, Lu Zhao, Haixia Xu
2018	J	`jnl`	Efficient range-free localization using elliptical distance correction in heterogeneous wireless sensor networks. Int. J. Distributed Sens. Networks Wenlan Wu, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
2018	J	`jnl`	Measurement of Atmospheric Dimethyl Sulfide with a Distributed Feedback Interband Cascade Laser. Sensors Shuanke Wang, Zhenhui Du, Liming Yuan, Yiwen Ma, Xiaoyu Wang, Ruiyan Han, Shuo Meng
2018	J	`jnl`	Membership Function-Weighted Non-Linear Fitting Method for Optical-Sensing Modeling and Reconstruction. Sensors Shuo Meng, Zhenhui Du, Liming Yuan, Shuanke Wang, Ruiyan Han, Xiaoyu Wang
2018	B	`conf`	Multiple- Instance Learning with Empirical Estimation Guided Instance Selection. ICPR Liming Yuan, Xianbin Wen, Haixia Xu, Lu Zhao
2018	J	`jnl`	Range-free localization using expected hop progress in anisotropic wireless sensor networks. EURASIP J. Wirel. Commun. Netw. Wu Wen, Xianbin Wen, Liming Yuan, Haixia Xu
2018	J	`jnl`	Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model. Remote. Sens. Jiaxing Liu, Xianbin Wen, Qingxia Meng, Haixia Xu, Liming Yuan
2017	J	`jnl`	A robust approach of watermarking in contourlet domain based on probabilistic neural network. Multim. Tools Appl. Jia-Xing Liu, Xianbin Wen, Liming Yuan, Hai-Xia Xu
2017	—	`conf`	Improving Multiple-Instance Learning via Disambiguation by Considering Generalization. WICON Lu Zhao, Youjian Yu, Hao Chen, Liming Yuan
2017	J	`jnl`	Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. Remote. Sens. Aobo Zhai, Xianbin Wen, Haixia Xu, Liming Yuan, Qingxia Meng
2015	B	`conf`	Multi-instance learning via instance-based and bag-based representation transformations. ICIP Liming Yuan, Lu Zhao, Haixia Xu
2015	J	`jnl`	Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning. Int. J. Mach. Learn. Cybern. Liming Yuan, Jiafeng Liu, Xianglong Tang, Daming Shi, Lu Zhao
2014	J	`jnl`	Combining example selection with instance selection to speed up multiple-instance learning. Neurocomputing Liming Yuan, Jiafeng Liu, Xianglong Tang
2014	J	`jnl`	Multiple-instance learning with pairwise instance similarity. Int. J. Appl. Math. Comput. Sci. Liming Yuan, Jiafeng Liu, Xianglong Tang
2012	—	`conf`	Energy Optimization with Multi Virtual Gravity for Robotic Gait. ICDMA Lipeng Yuan, Liming Yuan, Hongying Lu
2012	—	`conf`	Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning. IScIDE Liming Yuan, Qingcheng Huang, Jiafeng Liu, Xianglong Tang
2012	—	`conf`	Salient Instance Selection for Multiple-Instance Learning. ICONIP (3) Liming Yuan, Songbo Liu, Qingcheng Huang, Jiafeng Liu, Xianglong Tang