Task-driven moving object detection for robots using visual attention. - Yuanlong Yu 001; George K. I. Mann; Ray G. Gosine (Humanoids, 2007)

A task-driven object-based attention model for robots. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (ROBIO, 2007)

An object-based visual attention model for robots. - Yuanlong Yu 001; George K. I. Mann; Ray G. Gosine (ICRA, 2008)

Modeling of top-down object-based attention using probabilistic neural network. - Yuanlong Yu 001; George K. I. Mann; Ray G. Gosine (CCECE, 2009)

Modeling of top-down influences on object-based visual attention for robots. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (ROBIO, 2009)

A novel robotic visual perception method using object-based attention. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (ROBIO, 2009)

An autonomous visual perception model for robots using object-based attention mechanism. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (ROBIO, 2009)

Target tracking for moving robots using object-based visual attention. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (IROS, 2010)

An Object-Based Visual Attention Model for Robotic Applications. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (IEEE Trans. Syst. Man Cybern. Part B, 2010)

Pre-attentive visual segmentation algorithm for cognitive robots. - Yuanlong Yu 001; Jason Gu (ROBIO, 2012)

A Single-Object Tracking Method for Robots using Object-Based Visual Attention. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (Int. J. Humanoid Robotics, 2012)

A Goal-Directed Visual Perception System Using Object-Based Top-Down Attention. - Yuanlong Yu 001; George K. I. Mann; Raymond G. Gosine (IEEE Trans. Auton. Ment. Dev., 2012)

A Jeffrey divergence based irregular pyramid method for pre-attentive visual segmentation. - Yuanlong Yu 001; Jason Gu (ROBIO, 2013)

Development and Evaluation of Object-Based Visual Attention for Automatic Perception of Robots. - Yuanlong Yu 001; Jason Gu; George K. I. Mann; Raymond G. Gosine (IEEE Trans Autom. Sci. Eng., 2013)

Spammer Detection on Weibo Social Network. - Zhipeng Zeng; Xianghan Zheng; Guolong Chen; Yuanlong Yu 001 (CloudCom, 2014)

A visual attention based method for detecting traffic signs of interest. - Yuanlong Yu 001; Zhaojie Gu; Huaping Liu 001; Jason Gu (ICIA, 2014)

Simultaneous prototype selection and outlier isolation for traffic sign recognition: A collaborative sparse optimization method. - Huaping Liu 001; Yulong Liu; Yuanlong Yu 001; Fuchun Sun 001 (ICRA, 2014)

Extreme learning machine based traffic sign detection. - Zhiyong Huang 005; Yuanlong Yu 001; Shaozhen Ye; Huaping Liu 001 (MFI, 2014)

Multitask Extreme Learning Machine for Visual Tracking. - Huaping Liu 001; Fuchun Sun 001; Yuanlong Yu 001 (Cogn. Comput., 2014)

Bhattacharyya distance-based irregular pyramid method for image segmentation. - Yuanlong Yu 001; Jason Gu; Junzheng Wang (IET Comput. Vis., 2014)

Diversified Key-Frame Selection Using Structured ${L_{2, 1}}$ Optimization. - Huaping Liu 001; Yunhui Liu 003; Yuanlong Yu 001; Fuchun Sun 001 (IEEE Trans. Ind. Informatics, 2014)

Efficient robot navigation for semi-structured indoor storehouse. - Kai Sun; Yuanlong Yu 001; Jason Gu (CCECE, 2015)

A generalized pruning algorithm for extreme learning machine. - Kai Sun; Yuanlong Yu 001; Zhiyong Huang 005 (ICIA, 2015)

Network intrusion classification based on extreme learning machine. - Zhifan Ye; Yuanlong Yu 001 (ICIA, 2015)

Moving vehicle detection based on dense SIFT and Extreme Learning Machine for visual surveillance. - Yuxiang Cai; Lin Li; Shilong Ni; Junyu Lv; Weibo Zeng; Yuanlong Yu 001 (ROBIO, 2015)

Scene recognition based on extreme learning machine for digital video archive management. - Dongsheng Cheng; Wenjing Yu; Xiaoling He; Shilong Ni; Junyu Lv; Weibo Zeng; Yuanlong Yu 001 (ROBIO, 2015)

Robotic grasp detection using extreme learning machine. - Changliang Sun; Yuanlong Yu 001; Huaping Liu 001; Jason Gu (ROBIO, 2015)

Detecting spammers on social networks. - Xianghan Zheng; Zhipeng Zeng; Zheyi Chen; Yuanlong Yu 001; Chunming Rong (Neurocomputing, 2015)

A vision based traffic accident detection method using extreme learning machine. - Yu Chen; Yuanlong Yu 001; Ting Li (ICARM, 2016)

A scene recognition method using sparse features with layout-sensitive pooling and extreme learning machine. - Lingying Wu; Yuanlong Yu 001; Jason Gu (ICIA, 2016)

A pruning algorithm for extreme learning machine based on sparse coding. - Yuanlong Yu 001; Zhenzhen Sun (IJCNN, 2016)

Protein Function Detection Based on Machine Learning: Survey and Possible Solutions. - Kun Li; Xianghan Zheng; Chunming Rong; Yuanlong Yu 001; Riqing Chen (ISPDC, 2016)

Gesture recognition using data glove: An extreme learning machine method. - Danling Lu; Yuanlong Yu 001; Huaping Liu 001 (ROBIO, 2016)

An object tracking method using extreme learning machine with online learning. - Yuanlong Yu 001; Liyan Xie; Zhiyong Huang 005 (SSCI, 2016)

ELM-based spammer detection in social networks. - Xianghan Zheng; Xueying Zhang; Yuanlong Yu 001; M. Tahar Kechadi; Chunming Rong (J. Supercomput., 2016)

A new pruning algorithm for extreme learning machine. - Yuan Tian; Yuanlong Yu 001 (ICIA, 2017)

M-Weighted extreme learning machine for imbalanced learning. - Yuanlong Yu 001; Jiamin Lin (ICIA, 2017)

Video attention using multiple temporal scales coding reconstruction. - Yu Lin; Yuanlong Yu 001 (ICSAI, 2017)

Robotic skills learning based on dynamical movement primitives using a wearable device. - Xiang Wei; Fuchun Sun 001; Yuanlong Yu 001; Chunfang Liu; Bin Fang 003; Mingxuan Jing (ROBIO, 2017)

A multi-label classification algorithm based on kernel extreme learning machine. - Fangfang Luo; Wenzhong Guo; Yuanlong Yu 001; Guolong Chen (Neurocomputing, 2017)

Sparse coding extreme learning machine for classification. - Yuanlong Yu 001; Zhenzhen Sun (Neurocomputing, 2017)

Visual-Tactile Fusion for Object Recognition. - Huaping Liu 001; Yuanlong Yu 001; Fuchun Sun 001; Jason Gu (IEEE Trans Autom. Sci. Eng., 2017)

An Efficient Method for Traffic Sign Recognition Based on Extreme Learning Machine. - Zhiyong Huang 005; Yuanlong Yu 001; Jason Gu; Huaping Liu 001 (IEEE Trans. Cybern., 2017)

Two-Stage Weighted Regularized Extreme Learning Machine for Class Imbalanced Learning. - Miaoxing Xu; Yuanlong Yu 001 (ICCSIP (1), 2018)

Enhancement Mask for Hippocampus Detection and Segmentation. - Dengsheng Chen; Wenxi Liu; You Huang; Tong Tong 001; Yuanlong Yu 001 (ICIA, 2018)

Distilling deep neural networks with reinforcement learning. - You Huang; Yuanlong Yu 001 (ICIA, 2018)

Kernel-based Nonlinear Observation Method For Sparse Coding. - Min Lin; Yuanlong Yu 001 (ICIA, 2018)

An Autonomous Selection Method for Spatial Pooling Based on Chi-Square Test. - Zhiwei Liu; Yuanlong Yu 001 (ICIA, 2018)

A Sparse Dictionary Learning Algorithm with BB Method. - Zhishu Sun; Yuanlong Yu 001 (ICIA, 2018)

Traffic Sign Detection using Deep Random Mapping Autoencoder Network. - Yiyi Yang; Yuanlong Yu 001; Zhiyong Huang 005 (ICIA, 2018)

A Homotopy Iterative Hard Thresholding Algorithm With Extreme Learning Machine for Scene Recognition. - Yuanlong Yu 001; Zhenzhen Sun; Wenxing Zhu; Jason Gu (IEEE Access, 2018)

Lagrange Dual Method for Sparsity Constrained Optimization. - Wenxing Zhu; Zhengshan Dong; Yuanlong Yu 001; Jianli Chen (IEEE Access, 2018)

Deformable Object Tracking with Gated Fusion. - Wenxi Liu; Yibing Song; Dengsheng Chen; Yuanlong Yu 001; Shengfeng He; Rynson W. H. Lau (CoRR, 2018)

An efficient cascaded method for network intrusion detection based on extreme learning machines. - Yuanlong Yu 001; Zhifan Ye; Xianghan Zheng; Chunming Rong (J. Supercomput., 2018)

Context-Aware Spatio-Recurrent Curvilinear Structure Segmentation. - Feigege Wang; Yue Gu; Wenxi Liu; Yuanlong Yu 001; Shengfeng He; Jia Pan 001 (CVPR, 2019)

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery. - Xiaosheng Yan; Yuanlong Yu 001; Feigege Wang; Wenxi Liu; Shengfeng He; Jia Pan 001 (ICCV, 2019)

AM2FNet: Attention-based Multiscale & Multi-modality Fused Network. - Rong Chen; Zhiyong Huang 005; Yuanlong Yu 001 (ROBIO, 2019)

A Hidden Feature Selection Method based on l2, 0-Norm Regularization for Training Single-hidden-layer Neural Networks. - Zhiwei Liu; Yuanlong Yu 001; Zhenzhen Sun (SSCI, 2019)

Bidirectional Tracking Scheme for Visual Object Tracking Based on Recursive Orthogonal Least Squares. - Zhiyong Huang 005; Yuanlong Yu 001; Miaoxing Xu (IEEE Access, 2019)

Deformable Object Tracking With Gated Fusion. - Wenxi Liu; Yibing Song; Dengsheng Chen; Shengfeng He; Yuanlong Yu 001; Tao Yan 001; Gerhard P. Hancke 002; Rynson W. H. Lau (IEEE Trans. Image Process., 2019)

An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs. - You Huang; Yuanlong Yu 001 (CVPR, 2020)

Robust Multi-class Feature Selection via l2, 0-Norm Regularization Minimization. - Zhenzhen Sun; Yuanlong Yu 001 (CoRR, 2020)

Nonnegative Spectral Analysis with Adaptive Graph and L2, 0-Norm Regularization for Unsupervised Feature Selection. - Zhenzhen Sun; Yuanlong Yu 001 (CoRR, 2020)

A Homotopy Coordinate Descent Optimization Method for l0-Norm Regularized Least Square Problem. - Zhenzhen Sun; Yuanlong Yu 001 (CoRR, 2020)

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation. - Weixiang Yang; Qi Li 038; Wenxi Liu; Yuanlong Yu 001; Yuexin Ma; Shengfeng He; Jia Pan 001 (CVPR, 2021)

DGrid: Dense Grid Network for Salient Object Detection. - Yuxiang Cai; Xi Wu; Zhiyong Huang 005; Yuanlong Yu 001; Weijie Jiang 001; Weitao Zheng; Renjie Su (ICCSIP, 2021)

Dynamic Network Pruning Based on Local Channel-Wise Relevance. - Luxin Lin; Wenxi Liu; Yuanlong Yu 001 (ICCSIP, 2021)

GridPointNet: Grid and Point-Based 3D Object Detection from Point Cloud. - Quanming Wu; Yuanlong Yu 001; Tao Luo; Peiyuan Lu (ICCSIP, 2021)

Multi-class Feature Selection Based on Softmax with L2, 0-Norm Regularization. - Shumei Zeng; Yuanlong Yu 001; Zhenzhen Sun (ICCSIP, 2021)

From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation. - Qi Li 038; Weixiang Yang; Wenxi Liu; Yuanlong Yu 001; Shengfeng He (ICCV, 2021)

Semi-Supervised Domain Generalization in Real World: New Benchmark and Strong Baseline. - Luojun Lin; Han Xie; Zhifeng Yang; Zhishu Sun; Wenxi Liu; Yuanlong Yu 001; Weijie Chen 006; Shicai Yang; Di Xie (CoRR, 2021)

Fast Approximation for Sparse Coding with Applications to Object Recognition. - Zhenzhen Sun; Yuanlong Yu 001 (Sensors, 2021)

Dynamic Domain Generalization. - Zhishu Sun; Zhifeng Shen; Luojun Lin; Yuanlong Yu 001; Zhifeng Yang; Shicai Yang; Weijie Chen 006 (IJCAI, 2022)

Robust multi-class feature selection via l2, 0-norm regularization minimization. - Zhenzhen Sun; Yuanlong Yu 001 (Intell. Data Anal., 2022)

Sliding mode differentiator via improved adaptive notch filter. - Juan Wang 030; Hehong Zhang; Yuanlong Yu 001; Zhihong Dan; Gaoxi Xiao; Qiuming Gu; Chao Zhai 002 (Kybernetika, 2022)

Semantic enhanced for out-of-distribution detection. - Weijie Jiang 001; Yuanlong Yu 001 (Frontiers Neurorobotics, 2022)

FBPFormer: Dynamic Convolutional Transformer for Global-Local-Contexual Facial Beauty Prediction. - Qipeng Liu 004; Luojun Lin; Zhifeng Shen; Yuanlong Yu 001 (ICANN (10), 2023)

Universal Adversarial Attacks for Visual Odometry Systems. - Xijin Xie; Longlong Liao; Yuanlong Yu 001; Di Guo 002; Huaping Liu 001 (ICDL, 2023)

Learning High Frequency Surface Functions In Shells. - Han Guo; Yuanlong Yu 001; Yujie Wang; Xuelin Chen; Yixin Zhuang (ICME, 2023)

Run and Chase: Towards Accurate Source-Free Domain Adaptive Object Detection. - Luojun Lin; Zhifeng Yang; Qipeng Liu 004; Yuanlong Yu 001; Qifeng Lin (ICME, 2023)

Deep Inversion Method for Attacking Lifelong Learning Neural Networks. - Boyuan Du; Yuanlong Yu 001; Huaping Liu 001 (IJCNN, 2023)

A Multiple Prediction Mechanisms Ensemble for Complex Remote Sensing Scenes. - Qifeng Lin; Luojun Lin; Yuanlong Yu 001; Gang Fu 003 (ACM Multimedia, 2023)

Parameter Exchange for Robust Dynamic Domain Generalization. - Luojun Lin; Zhifeng Shen; Zhishu Sun; Yuanlong Yu 001; Lei Zhang 038; Weijie Chen 006 (ACM Multimedia, 2023)

MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction. - Luojun Lin; Zhifeng Shen; Jia-Li Yin; Qipeng Liu 004; Yuanlong Yu 001; Weijie Chen 006 (ACM Multimedia, 2023)

Out-of-distribution detection based on multi-classifiers. - Weijie Jiang 001; Yuanlong Yu 001 (Cogn. Comput. Syst., 2023)

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery. - Qi Li 038; Jiaxin Cai; Yuanlong Yu 001; Jason Gu; Jia Pan 001; Wenxi Liu (CoRR, 2023)

A novel decoder based on Bayesian rules for task-driven object segmentation. - Yuxiang Cai; Yuanlong Yu 001; Weijie Jiang 001; Rong Chen; Weitao Zheng; Xi Wu; Renjie Su (IET Image Process., 2023)

Dual-graph with non-convex sparse regularization for multi-label feature selection. - Zhenzhen Sun; Hao Xie; Jinghua Liu; Jin Gou; Yuanlong Yu 001 (Appl. Intell., 2023)

Incomplete Multi-View Clustering Via Inference and Evaluation. - Binqiang Huang; Zhijie Huang; Shoujie Lan; Qinghai Zheng; Yuanlong Yu 001 (ICASSP, 2024)

Learning feature alignment across attribute domains for improving facial beauty prediction. - Zhishu Sun; Luojun Lin; Yuanlong Yu 001; Lianwen Jin (Expert Syst. Appl., 2024)

Multi-label feature selection via adaptive dual-graph optimization. - Zhenzhen Sun; Hao Xie; Jinghua Liu; Yuanlong Yu 001 (Expert Syst. Appl., 2024)

Fault-tolerant deep learning inference on CPU-GPU integrated edge devices with TEEs. - Hongjian Xu; Longlong Liao; Xinqi Liu; Shuguang Chen; Jianguo Chen; Zhixuan Liang; Yuanlong Yu 001 (Future Gener. Comput. Syst., 2024)

Dynamic Attentive Convolution for Facial Beauty Prediction. - Zhishu Sun; Zilong Xiao; Yuanlong Yu 001; Luojun Lin (IEICE Trans. Inf. Syst., 2024)

You only label once: A self-adaptive clustering-based method for source-free active domain adaptation. - Zhishu Sun; Luojun Lin; Yuanlong Yu 001 (IET Image Process., 2024)

Double-level View-correlation Multi-view Subspace Clustering. - Shoujie Lan; Qinghai Zheng; Yuanlong Yu 001 (Knowl. Based Syst., 2024)

Partial multi-label feature selection via low-rank and sparse factorization with manifold learning. - Zhenzhen Sun; Zexiang Chen; Jinghua Liu; Yewang Chen; Yuanlong Yu 001 (Knowl. Based Syst., 2024)

Semi-supervised domain generalization with evolving intermediate domain. - Luojun Lin; Han Xie; Zhishu Sun; Weijie Chen 006; Wenxi Liu; Yuanlong Yu 001; Lei Zhang 038 (Pattern Recognit., 2024)

Prototype learning based generic multiple object tracking via point-to-box supervision. - Wenxi Liu; Yuhao Lin; Qi Li 038; Yinhua She; Yuanlong Yu 001; Jia Pan 001; Jason Gu (Pattern Recognit., 2024)

Memory-Constrained Semantic Segmentation for Ultra-High Resolution UAV Imagery. - Qi Li 038; Jiaxin Cai; Jiexin Luo; Yuanlong Yu 001; Jason Gu; Jia Pan 001; Wenxi Liu (IEEE Robotics Autom. Lett., 2024)

Fuzzy Representation Learning on Dynamic Graphs. - Hong-Yu Yao; Yuanlong Yu 001; Chun-Yang Zhang; Yue-Na Lin; Shang-Jia Li (IEEE Trans. Syst. Man Cybern. Syst., 2024)

HVConv: Horizontal and Vertical Convolution for Remote Sensing Object Detection. - Jinhui Chen; Qifeng Lin; Haibin Huang; Yuanlong Yu 001; Daoye Zhu; Gang Fu 003 (Remote. Sens., 2024)

Learning Nighttime Semantic Segmentation the Hard Way. - Wenxi Liu; Jiaxin Cai; Qi Li 038; Chenyang Liao; Jingjing Cao; Shengfeng He; Yuanlong Yu 001 (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection. - Wenxi Liu; Qi Li 038; Weixiang Yang; Jiaxin Cai; Yuanlong Yu 001; Yuexin Ma; Shengfeng He; Jia Pan 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Ultra-High Resolution Image Segmentation via Locality-Aware Context Fusion and Alternating Local Enhancement. - Wenxi Liu; Qi Li 038; Xindai Lin; Weixiang Yang; Shengfeng He; Yuanlong Yu 001 (Int. J. Comput. Vis., 2024)

Learning Interpretable Brain Functional Connectivity via Self-Supervised Triplet Network With Depth-Wise Attention. - Yunbo Tang; Weirong Huang; Rongchang Liu; Yuanlong Yu 001 (IEEE J. Biomed. Health Informatics, 2024)

GSSN: A Graph Structural Similarity Network for Complex 2D Geometric Drawing Retrieval. - Long Chen; Longlong Liao; Junyong Lu; Jie Liu; Yuanlong Yu 001 (ICA3PP (5), 2025)

A Tiny Change, a Giant Leap: Long-Tailed Class-Incremental Learning via Geometric Prototype Alignment. - Xinyi Lai; Luojun Lin; Weijie Chen 006; Yuanlong Yu 001 (ICCV, 2025)

Multi-Attention Guided Knowledge Distillation For High-Performance Object Detection. - Zhihao Kong; Qifeng Lin; Qishen Shen; Jiayi Qiu; Gang Fu 003; Yuanlong Yu 001 (ICME, 2025)

Neural Collision Detection for Constrained Grasp Pose Optimization in Cluttered Environments. - Longyuan Lin; Weiwei Zhu; Yixin Zhuang; Qinghai Zheng; Yuanlong Yu 001 (IROS, 2025)

EEG super-resolution with Laplacian Regularized Coupled Matrix Decomposition: A case study of Autism Spectrum Disorder EEG enhancement. - Yunbo Tang; Qifeng Lin; Yuanlong Yu 001; Dan Chen 001 (Artif. Intell. Medicine, 2025)

Balanced Contrast Class-Incremental Learning. - Shiqi Yu 004; Luojun Lin; Yuanlong Yu 001 (CAAI Trans. Intell. Technol., 2025)

Geometry-aware triplane diffusion for single shape generation with feature alignment. - Hongliang Weng; Qinghai Zheng; Yuanlong Yu 001; Yixin Zhuang (Comput. Graph., 2025)

Trusted Cross-view Completion for incomplete multi-view classification. - Liping Zhou; Shiyun Chen; Peihuan Song; Qinghai Zheng; Yuanlong Yu 001 (Neurocomputing, 2025)

Fault resilient on-device batched DNN inference for mobile devices with ARM TrustZone. - Longlong Liao; Wenbin Zeng; Xinqi Liu; Jie Liu; Yuanlong Yu 001 (J. Syst. Archit., 2025)

Cross-View Fusion for Multi-View Clustering. - Zhijie Huang; Binqiang Huang; Qinghai Zheng; Yuanlong Yu 001 (IEEE Signal Process. Lett., 2025)

Supervised Contrastive Learning With Mixed Samples for Long-Tailed Recognition. - Peihuan Song; Luojun Lin; Yuanlong Yu 001; Wenjie Yang 005; Qinghai Zheng (IEEE Signal Process. Lett., 2025)

Attention-Based Mean-Max Balance Assignment for Oriented Object Detection in Optical Remote Sensing Images. - Qifeng Lin; Nuo Chen; Haibin Huang; Daoye Zhu; Gang Fu 003; Chuanxi Chen; Yuanlong Yu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multiple Region Proposal Experts Network for Wide-Scale Remote Sensing Object Detection. - Qifeng Lin; Haibin Huang; Daoye Zhu; Nuo Chen; Gang Fu 003; Yuanlong Yu 001 (IEEE Trans. Geosci. Remote. Sens., 2025)

Multi-class feature selection via Sparse Softmax with a discriminative regularization. - Zhenzhen Sun; Zexiang Chen; Jinghua Liu; Yuanlong Yu 001 (Int. J. Mach. Learn. Cybern., 2025)

Playing to the Strengths of High- and Low-Resolution Cues for Ultra-High Resolution Image Segmentation. - Qi Li 038; Jiexin Luo; Chunxiao Chen; Jiaxin Cai; Wenjie Yang 005; Yuanlong Yu 001; Shengfeng He; Wenxi Liu (IEEE Robotics Autom. Lett., 2025)

Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts. - Jiaxin Cai; Rui Lin; Jingze Su; Qi Li 038; Wenjie Yang 005; Yuanlong Yu 001; Wenxi Liu (AAAI, 2026)

Non-exemplar class-incremental learning: Dynamic adversarial sample synthesis and relational knowledge distillation. - Yuanlong Yu 001; Xiaoli Ke (Appl. Soft Comput., 2026)

Multi-domain EEG feature fusion network with supervised contrastive learning for epileptic seizure prediction. - Rongchang Liu; Yunbo Tang; Weirong Huang; Qifeng Lin; Yuanlong Yu 001 (Biomed. Signal Process. Control., 2026)

Corrigendum to "Multi-domain EEG feature fusion network with supervised contrastive learning for epileptic seizure prediction" [Biomed. Signal Process. Control 112(Part B) (2026) 108512]. - Rongchang Liu; Yunbo Tang; Weirong Huang; Qifeng Lin; Yuanlong Yu 001 (Biomed. Signal Process. Control., 2026)

Partial multi-label feature selection via feature-label bidirectional association with adaptive label graph diffusion. - Shuhao Shan; Jinghua Liu; Hongbo Zhang; Yuanlong Yu 001; Zhenzhen Sun (Neurocomputing, 2026)

Multi-View Clustering via Cross-View Alignment and Anchor-Guided Representation. - Gaojie Song; Fumiao Wang; Gaowen Jie; Yuanlong Yu 001; Qinghai Zheng (IEEE Signal Process. Lett., 2026)

Trust Under Attack: Environment Perturbation-Based Attacks on Trust-Aware Human-Robot Collaboration. - Boyuan Du; Huaping Liu 001; Yuanlong Yu 001 (IEEE Trans Autom. Sci. Eng., 2026)

COSOS-1k: A Benchmark Dataset and Occlusion-Aware Uncertainty Learning for Multi-View Video Object Detection. - Wenjie Yang 005; Yueying Kao; Tong Liu; Yuanlong Yu 001; Kaiqi Huang (IEEE Trans. Image Process., 2026)

From One Comes Two: A Tensorized Graph Learning Framework for Clustering. - Qinghai Zheng; Jihua Zhu; Yuanlong Yu 001; Haoyu Tang 002 (IEEE Trans. Knowl. Data Eng., 2026)

Dynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction. - Wentao Chen; Jingtang Chen; Mingjian Fu 001; Tiantian Li; Youfeng Su; Wenxi Liu; Yuanlong Yu 001 (CoRR, 2026)

Optimization of Power Allocation in Ultra-Dense Small Cellular Networks With Information-Gain-Guided Reinforcement Learning. - Mingjian Fu 001; Zhifei Lin; Fenglin Ni; Siyuan Li 003; Xinyi Lin; Zhenghong Wang; Guang-Yong Chen; Yuanlong Yu 001 (IEEE Trans. Consumer Electron., 2026)

Trust-Aware Human-Robot Collaborative Decision-Making With LLM-Generated Data. - Boyuan Du; Peiyan Li; Shuyuan Zhang; Huaping Liu 001; Yuanlong Yu 001 (IEEE Trans. Cogn. Dev. Syst., 2026)