How is CiteSpace Used and Cited in the Literature? An Analysis of the Articles Published in English and Chinese Core Journals. - Xuelian Pan; Ming Cui; Xiaotong Yu; Weina Hua (ISSI, 2017)

An ${ ell}_{0}$ -Norm Minimization for Energy-Efficient Timetabling in Subway Systems. - Ziyan Luo; Xiaotong Yu; Xiaoyu Li (IEEE Access, 2019)

Inaudible acoustic signal based key agreement system for IoT devices: poster abstract. - Weitao Xu; Zhenjiang Li; Wanli Xue; Xiaotong Yu; Jia Wang 008; Chengwen Luo 001; Wei Li 058; Albert Y. Zomaya (SenSys, 2020)

DS-NLCsiNet: Exploiting Non-Local Neural Networks for Massive MIMO CSI Feedback. - Xiaotong Yu; Xiangyi Li; Huaming Wu; Yang Bai (IEEE Commun. Lett., 2020)

InaudibleKey: Generic Inaudible Acoustic Signal based Key Agreement Protocol for Mobile Devices. - Weitao Xu; Zhenjiang Li; Wanli Xue; Xiaotong Yu; Bo Wei 003; Jia Wang 008; Chengwen Luo 001; Wei Li 058; Albert Y. Zomaya (IPSN, 2021)

SLRTA: A sparse and low-rank tensor-based approach to internet traffic anomaly detection. - Xiaotong Yu; Ziyan Luo; Liqun Qi 001; Yanwei Xu (Neurocomputing, 2021)

A sparse tensor optimization approach for background subtraction from compressive measurements. - Xiaotong Yu; Ziyan Luo (Multim. Tools Appl., 2021)

Cost sensitive ν-support vector machine with LINEX loss. - Saiji Fu; Xiaotong Yu; Yingjie Tian 001 (Inf. Process. Manag., 2022)

Air-Sea Interface Parameters and Heat Flux from Neural Network and Advanced Microwave Scanning Radiometer Observations. - Biao Zhang 001; Xiaotong Yu; William Perrie; Fenghua Zhou (Remote. Sens., 2022)

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks with Soft-Thresholding. - Chunyan Xiong; Mengli Lu; Xiaotong Yu; Jian Cao; Zhong Chen 005; Di Guo; Xiaobo Qu 001 (CoRR, 2023)

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (CoRR, 2023)

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. - Chengyan Wang; Jun Lyu; Shuo Wang 011; Chen Qin; Kunyuan Guo; Xinyu Zhang; Xiaotong Yu; Yan Li 064; Fanwen Wang; Jianhua Jin; Zhang Shi; Ziqiang Xu; et al. (CoRR, 2023)

Partial label learning: Taxonomy, analysis and outlook. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Neural Networks, 2023)

Multi-view prototype-based disambiguation for partial label learning. - Shiding Sun; Xiaotong Yu; Yingjie Tian 001 (Pattern Recognit., 2023)

Multi-view cost-sensitive kernel learning for imbalanced classification problem. - Jingjing Tang; Zhaojie Hou; Xiaotong Yu; Saiji Fu; Yingjie Tian 001 (Neurocomputing, 2023)

Multi-view side information-incorporated tensor completion. - Yingjie Tian 001; Xiaotong Yu; Saiji Fu (Numer. Linear Algebra Appl., 2023)

Causal multi-label learning for image classification. - Yingjie Tian 001; Kunlong Bai; Xiaotong Yu; Siyu Zhu 003 (Neural Networks, 2023)

Evolution of Cooperation Among Unequals with Game-Environment Feedback. - Xiaotong Yu; Haili Liang; Zhihai Rong; Xiaoqiang Ren; Xiaofan Wang; Ming Cao 001 (CDC, 2024)

Semantic-aware Next-Best-View for Multi-DoFs Mobile System in Search-and-Acquisition based Visual Perception. - Xiaotong Yu; Chang-Wen Chen (ACM Multimedia, 2024)

CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network. - Xiaotong Yu; Ruihan Xie; Zhihe Zhao; Chang-Wen Chen (CoRR, 2024)

Self-distillation and self-supervision for partial label learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2024)

The role of environmental feedback in promoting cooperation among unequal groups. - Xiaotong Yu; Haili Liang; Xiaoqiang Ren; Zhihai Rong; Xiao Fan Wang 001; Ming Cao 001 (Appl. Math. Comput., 2025)

One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction. - Zi Wang 005; Xiaotong Yu; Chengyan Wang; Weibo Chen; Jiazheng Wang; Ying-Hua Chu; Hongwei Sun; Rushuai Li; Peiyong Li; Fan Yang; Haiwei Han; Taishan Kang; et al. (Medical Image Anal., 2025)

Sample selection for noisy partial label learning with interactive contrastive learning. - Xiaotong Yu; Shiding Sun; Yingjie Tian 001 (Pattern Recognit., 2025)

Convex Dual Theory Analysis of Two-Layer Convolutional Neural Networks With Soft-Thresholding. - Chunyan Xiong; Chaoxing Zhang; Mengli Lu; Xiaotong Yu; Jian Cao; Zhong Chen 005; Di Guo; Xiaobo Qu 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

HQC-NBV: A Hybrid Quantum-Classical View Planning Approach. - Xiaotong Yu; Chang Wen Chen (CoRR, 2025)