Energy Optimization with Multi Virtual Gravity for Robotic Gait. - Lipeng Yuan; Liming Yuan; Hongying Lu (ICDMA, 2012)

Salient Instance Selection for Multiple-Instance Learning. - Liming Yuan; Songbo Liu; Qingcheng Huang; Jiafeng Liu; Xianglong Tang (ICONIP (3), 2012)

Salience-Based Prototype Selection for K-Nearest Neighbor Classification in Multiple-Instance Learning. - Liming Yuan; Qingcheng Huang; Jiafeng Liu; Xianglong Tang (IScIDE, 2012)

Multiple-instance learning with pairwise instance similarity. - Liming Yuan; Jiafeng Liu; Xianglong Tang (Int. J. Appl. Math. Comput. Sci., 2014)

Combining example selection with instance selection to speed up multiple-instance learning. - Liming Yuan; Jiafeng Liu; Xianglong Tang (Neurocomputing, 2014)

Multi-instance learning via instance-based and bag-based representation transformations. - Liming Yuan; Lu Zhao; Haixia Xu 003 (ICIP, 2015)

Pairwise-similarity-based instance reduction for efficient instance selection in multiple-instance learning. - Liming Yuan; Jiafeng Liu; Xianglong Tang; Daming Shi 001; Lu Zhao (Int. J. Mach. Learn. Cybern., 2015)

Improving Multiple-Instance Learning via Disambiguation by Considering Generalization. - Lu Zhao; Youjian Yu; Hao Chen; Liming Yuan (WICON, 2017)

A robust approach of watermarking in contourlet domain based on probabilistic neural network. - Jia-Xing Liu; Xianbin Wen; Liming Yuan; Hai-Xia Xu 003 (Multim. Tools Appl., 2017)

Multi-Layer Model Based on Multi-Scale and Multi-Feature Fusion for SAR Images. - Aobo Zhai; Xianbin Wen; Haixia Xu 003; Liming Yuan; Qingxia Meng (Remote. Sens., 2017)

Multiple- Instance Learning with Empirical Estimation Guided Instance Selection. - Liming Yuan; Xianbin Wen; Haixia Xu 003; Lu Zhao (ICPR, 2018)

An Iterative Instance Selection Based Framework for Multiple-Instance Learning. - Liming Yuan; Xianbin Wen; Lu Zhao; Haixia Xu 003 (ICTAI, 2018)

Range-free localization using expected hop progress in anisotropic wireless sensor networks. - Wu Wen; Xianbin Wen; Liming Yuan; Haixia Xu 003 (EURASIP J. Wirel. Commun. Netw., 2018)

Efficient range-free localization using elliptical distance correction in heterogeneous wireless sensor networks. - Wenlan Wu; Xianbin Wen; Haixia Xu 003; Liming Yuan; Qingxia Meng (Int. J. Distributed Sens. Networks, 2018)

Accurate Range-free Localization Based on Quantum Particle Swarm Optimization in Heterogeneous Wireless Sensor Networks. - Wenlan Wu; Xianbin Wen; Haixia Xu 003; Liming Yuan; Qingxia Meng (KSII Trans. Internet Inf. Syst., 2018)

Synthetic Aperture Radar Image Segmentation with Reaction Diffusion Level Set Evolution Equation in an Active Contour Model. - Jiaxing Liu; Xianbin Wen; Qingxia Meng; Haixia Xu 003; Liming Yuan (Remote. Sens., 2018)

Membership Function-Weighted Non-Linear Fitting Method for Optical-Sensing Modeling and Reconstruction. - Shuo Meng; Zhenhui Du; Liming Yuan; Shuanke Wang; Ruiyan Han; Xiaoyu Wang (Sensors, 2018)

Measurement of Atmospheric Dimethyl Sulfide with a Distributed Feedback Interband Cascade Laser. - Shuanke Wang; Zhenhui Du; Liming Yuan; Yiwen Ma; Xiaoyu Wang; Ruiyan Han; Shuo Meng (Sensors, 2018)

CSF: An Efficient Parallel Deduplication Algorithm by Clustering Scattered Fingerprints. - Hao Fan; Guangping Xu; Yi Zhang; Liming Yuan; Yanbing Xue (ISPA/BDCloud/SocialCom/SustainCom, 2019)

A Precise and Stable Segmentation Algorithm of SAR Images Based on Random Weighting Method and Modified Level Set. - Shanshan Lin; Xianbin Wen; Haixia Xu 003; Liming Yuan; Qingxia Meng (IEEE Access, 2019)

Factorization-Based Active Contour for Water-Land SAR Image Segmentation via the Fusion of Features. - Qingxia Meng; Xianbin Wen; Liming Yuan; Haixia Xu 003 (IEEE Access, 2019)

Cluster-Based Tensorial Semisupervised Discriminant Analysis for Feature Extraction of SAR Images. - Xiaoying Wu; Xianbin Wen; Liming Yuan; Changlun Guo; Haixia Xu 003 (IEEE Access, 2019)

Learnable Bag Similarity Based Deep Multi-Instance Network for Breast Cancer Diagnosis. - Rui Cheng 008; Liming Yuan; Haixia Xu 003; Zhenliang Li; Xianbin Wen (BIBM, 2020)

Deep Multi-Instance Learning with Induced Self-Attention for Medical Image Classification. - Zhenliang Li; Liming Yuan; Haixia Xu 003; Rui Cheng 008; Xianbin Wen (BIBM, 2020)

Local-Variance-Based Attention For Visual Tracking. - Changlun Guo; Xianbin Wen; Liming Yuan; Haixia Xu 003 (ICME, 2020)

Optical Fiber Refractive Index Sensor Based on the SPR Using a Multiple D-shaped Ag Nanowire. - Riadh A. Kadhim; Nawar Al-Hemeary; Abdul Kareem K. Abdul; Liming Yuan; Jiang Wu (IEEE SENSORS, 2020)

Deep Tensor Capsule Network. - Kun Sun; Liming Yuan; Haixia Xu 003; Xianbin Wen (IEEE Access, 2020)

An Incremental Learning Based Edge Caching System: From Modeling to Evaluation. - Guangping Xu; Bo Tang; Liming Yuan; Yanbing Xue; Zan Gao; Salwa Mostafa; Chi Wan Sung (IEEE Access, 2020)

Multiple-instance learning via multiple-point concept based instance selection. - Liming Yuan; Guangping Xu; Lu Zhao; Xianbin Wen; Haixia Xu 003 (Int. J. Mach. Learn. Cybern., 2020)

Multi-Scale Attention Network Based on Multi-Feature Fusion for Person Re-Identification. - Minghao Li; Liming Yuan; Xianbin Wen; Jianchen Wang; Gengsheng Xie; Yansong Jia (IJCNN, 2021)

Channel-exchanged feature representations for person re-identification. - Jianchen Wang; Liming Yuan; Haixia Xu 003; Gengsheng Xie; Xianbin Wen (Inf. Sci., 2021)

Deep capsule network regularization based on generative adversarial network framework. - Kun Sun; Liming Yuan; Haixia Xu 003; Xianbin Wen (J. Electronic Imaging, 2021)

Dense capsule networks with fewer parameters. - Kun Sun; Xianbin Wen; Liming Yuan; Haixia Xu 003 (Soft Comput., 2021)

CSDS: End-to-End Aerial Scenes Classification With Depthwise Separable Convolution and an Attention Mechanism. - Xinyu Wang; Liming Yuan; Haixia Xu 003; Xianbin Wen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Deep Multi-Instance Learning with Adaptive Recurrent Pooling for Medical Image Classification. - Yi Ding; Lu Zhao; Liming Yuan; Xianbin Wen (BIBM, 2022)

Multi-View Representation Learning for Multi-Instance Learning with Applications to Medical Image Classification. - Lu Zhao; Liming Yuan; Zhenliang Li; Xianbin Wen (BIBM, 2022)

End-To-End Retina Image Synthesis Based on CGAN Using Class Feature Loss and Improved Retinal Detail Loss. - Nan Liang; Liming Yuan; Xianbin Wen; Haixia Xu 003; Jingyi Wang (IEEE Access, 2022)

Global Correlative Network for Person re-identification. - Gengsheng Xie; Xianbin Wen; Liming Yuan; Haixia Xu 003; Zhanlu Liu (Neurocomputing, 2022)

DASFTOT: Dual attention spatiotemporal fused transformer for object tracking. - Ruixu Wu; Xianbin Wen; Liming Yuan; Hai-Xia Xu 003 (Knowl. Based Syst., 2022)

A tiny deep capsule network. - Kun Sun; Haixia Xu 003; Liming Yuan; Xianbin Wen (Int. J. Mach. Learn. Cybern., 2022)

STASiamRPN: visual tracking based on spatiotemporal and attention. - Ruixu Wu; Xianbin Wen; Zhanlu Liu; Liming Yuan; Haixia Xu 003 (Multim. Syst., 2022)

Correction: STASiamRPN: visual tracking based on spatiotemporal and attention. - Ruixu Wu; Xianbin Wen; Zhanlu Liu; Liming Yuan; Haixia Xu 003 (Multim. Syst., 2022)

Multiple Regularization and Analysis of Deep Capsule Network. - Kun Sun; Haixia Xu; Liming Yuan; Xianbin Wen (Pattern Anal. Appl., 2022)

A Remote-Sensing Scene-Image Classification Method Based on Deep Multiple-Instance Learning with a Residual Dense Attention ConvNet. - Xinyu Wang; Haixia Xu 003; Liming Yuan; Wei Dai; Xianbin Wen (Remote. Sens., 2022)

Structured controller synthesis through block-diagonal factorization and parameter space optimization. - Liming Yuan; Silu Chen 001; Chi Zhang 014; Guilin Yang (Autom., 2023)

A lightweight and stochastic depth residual attention network for remote sensing scene classification. - Xinyu Wang; Hai-Xia Xu 003; Liming Yuan; Xianbin Wen (IET Image Process., 2023)

Generalized attention-based deep multi-instance learning. - Lu Zhao; Liming Yuan; Kun Hao; Xianbin Wen (Multim. Syst., 2023)

Pose-guided feature region-based fusion network for occluded person re-identification. - Gengsheng Xie; Xianbin Wen; Liming Yuan; Jianchen Wang; Changlun Guo; Yansong Jia; Minghao Li (Multim. Syst., 2023)

Parameter Space Optimization for Robust Controller Synthesis With Structured Feedback Gain. - Liming Yuan; Si-Lu Chen 001; Chi Zhang 014; Guilin Yang (IEEE Trans. Cybern., 2023)

Multiscale Attention-Based Subdomain Dynamic Adaptation for Cross-Domain Scene Classification. - Xinyu Wang; Haixia Xu; Furong Shi; Liming Yuan; Xianbin Wen (IEEE Geosci. Remote. Sens. Lett., 2024)

Dynamic Convolution Covariance Network Using Multiscale Feature Fusion for Remote Sensing Scene Image Classification. - Xinyu Wang; Furong Shi; Haixia Xu 003; Liming Yuan; Xianbin Wen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Visual Tracking based on deformable Transformer and spatiotemporal information. - Ruixu Wu; Xianbin Wen; Liming Yuan; Haixia Xu; Yanli Liu 005 (Eng. Appl. Artif. Intell., 2024)

Modeling and control for a long-stroke 4-PPR compliant parallel mechanism. - Jianze Ren; Chi Zhang 014; Miao Yang; Liming Yuan; Na Sang; Jianhua Yao 007 (Int. J. Intell. Robotics Appl., 2024)

LPNet: A remote sensing scene classification method based on large kernel convolution and parameter fusion. - Guowei Wang; Furong Shi; Xinyu Wang; Haixia Xu 003; Liming Yuan; Xianbin Wen (IET Image Process., 2024)

Hfffap-net: unsupervised fundus image enhancement with high-frequency feature fusion and artifact processing. - Xiaoming Yang; Liming Yuan; Xianbin Wen (Multim. Syst., 2025)