A cooperative MMSE strategy for two-way relaying based multiuser multiplexing. - Juncheng Hu; Sangarapillai Lambotharan (DSP, 2015)

Feature Redundancy Based on Interaction Information for Multi-Label Feature Selection. - Wanfu Gao; Juncheng Hu; Yonghao Li; Ping Zhang 025 (IEEE Access, 2020)

Multi-Label Feature Selection Based on High-Order Label Correlation Assumption. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Entropy, 2020)

Robust multi-label feature selection with dual-graph regularization. - Juncheng Hu; Yonghao Li; Wanfu Gao; Ping Zhang 025 (Knowl. Based Syst., 2020)

Multi-label feature selection with shared common mode. - Liang Hu 001; Yonghao Li; Wanfu Gao; Ping Zhang 025; Juncheng Hu (Pattern Recognit., 2020)

Drone Mobile Networks: Performance Analysis Under 3D Tractable Mobility Models. - Jiayi Huang; Jie Tang 002; Arman Shojaeifard; Zhen Chen 010; Juncheng Hu; Daniel Ka Chun So; Kai-Kit Wong (IEEE Access, 2021)

A conditional-weight joint relevance metric for feature relevancy term. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Eng. Appl. Artif. Intell., 2021)

Multi-label feature selection based on the division of label topics. - Ping Zhang 025; Wanfu Gao; Juncheng Hu; Yonghao Li (Inf. Sci., 2021)

Joint 3D placement and multi-beam design for UAV-assisted wireless power transfer networks. - Xiangyang Duan; Shaopeng Ao; Wanmei Feng; Jie Tang 002; Juncheng Hu (Phys. Commun., 2021)

Dynamic subspace dual-graph regularized multi-label feature selection. - Juncheng Hu; Yonghao Li; Gaochao Xu; Wanfu Gao (Neurocomputing, 2022)

Robust multi-label feature selection with shared label enhancement. - Yonghao Li; Juncheng Hu; Wanfu Gao (Knowl. Inf. Syst., 2022)

Kernel ridge regression-based TV regularization for motion correction of dynamic MRI. - Zhen Chen 010; Juncheng Hu; Xiaoqun Qiu; Wen Jiang (Signal Process., 2022)

Multi-label feature selection method based on dynamic weight. - Ping Zhang 025; Jiyao Sheng; Wanfu Gao; Juncheng Hu; Yonghao Li (Soft Comput., 2022)

MSTCNet: Parallel Multi-Scale Network For Medical Image Segmentation. - Hongzhao Xiao; Jie Tang 002; Hongjian Song; Juncheng Hu (CCRIS, 2023)

Adaptive Minimax-Concave Penalty based MR Image Denoising with Difference of Gaussian filter. - Juncheng Hu; Xiaoyu Du; Youjun Xiang; Zhen Chen 010 (ICIGP, 2023)

Rethinking Overfitting of Multiple Instance Learning for Whole Slide Image Classification. - Hongjian Song; Jie Tang 002; Hongzhao Xiao; Juncheng Hu (ICME, 2023)

Robust compressed sensing MRI based on combined nonconvex regularization. - Zhen Chen 010; Youjun Xiang; Peichang Zhang; Juncheng Hu (Knowl. Based Syst., 2023)

An Adaptive Energy Efficient MAC Protocol for RF Energy Harvesting WBANs. - Juncheng Hu; Gaochao Xu; Liang Hu 001; Shujing Li; Yang Xing (IEEE Trans. Commun., 2023)

Development and Application of a Machine Learning-Based Prediction Model for 6-Month Unplanned Readmission in Heart Failure Patients. - Juncheng Hu; Chunbao Mo (HCI (27), 2024)

Design and Optimization Strategy of a CNN Aided Pre-hospital Diagnosis System for Myocardial Infarction. - Juncheng Hu; Youtian Zhou; Chunbao Mo (HCI (27), 2024)

CardioRisk: Predictive Application for Myocardial Infarction Incident Risk Assessment Based on Blood Pressure-Glucose-Lipid Patterns. - Xin Shu; Xin Sun; Juncheng Hu; Chunbao Mo (HCI (27), 2024)

5G MEC+AI Pathology "Anti-Cancer Guardian": Design of Intelligent Gastric Cancer Auxiliary Diagnosis and Warning Platform for Smart Hospital System. - Xin Sun; Xin Shu; Juncheng Hu; Chunbao Mo (HCI (27), 2024)

Study and Validation Protocol of Risk Prediction Model for Deep Venous Thrombosis After Severe Traumatic Brain Injury Based on Machine Learning Algorithms. - Yongping Wei; Qin Lin; Juncheng Hu (HCI (27), 2024)

QGIP: A Framework Bridging Quantum Grayscale Image Processing and Applications. - Xilong Che; Jiale Zhang 002; Shuo Chen; Shun Peng; Juncheng Hu (ISPA, 2024)

Diversity-Driven Synthesis: Enhancing Dataset Distillation through Directed Weight Adjustment. - Jiawei Du; Xin Zhang 092; Juncheng Hu; Wenxin Huang; Joey Tianyi Zhou (NeurIPS, 2024)

VectorPainter: A Novel Approach to Stylized Vector Graphics Synthesis with Vectorized Strokes. - Juncheng Hu; Ximing Xing; Zhengqi Zhang; Jing Zhang; Qian Yu (CoRR, 2024)

NVPC: A Transparent NVM Page Cache. - Guoyu Wang; Xilong Che; Haoyang Wei; Shuo Chen; Puyi He; Juncheng Hu (CoRR, 2024)

Crash Consistency in DRAM-NVM-Disk Hybrid Storage System. - Guoyu Wang; Xilong Che; Haoyang Wei; Chenju Pei; Juncheng Hu (CoRR, 2024)

SVGFusion: Scalable Text-to-SVG Generation via Vector Space Diffusion. - Ximing Xing; Juncheng Hu; Jing Zhang; Dong Xu; Qian Yu (CoRR, 2024)

A privacy-preserving federated graph learning framework for threat detection in IoT trigger-action programming. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (Expert Syst. Appl., 2024)

DCGNN: Adaptive deep graph convolution for heterophily graphs. - Yang Wu; Yu Wang 152; Liang Hu 001; Juncheng Hu (Inf. Sci., 2024)

Modeling Tree-like Heterophily on Symmetric Matrix Manifolds. - Yang Wu; Liang Hu; Juncheng Hu (Entropy, 2024)

Threat Detection in Trigger-Action Programming Rules of Smart Home With Heterogeneous Information Network Model. - Dongming Sun; Liang Hu 001; Gang Wu 017; Yongheng Xing; Juncheng Hu; Feng Wang 014 (IEEE Internet Things J., 2024)

LS-HTC: an HTC system for large-scale jobs. - Juncheng Hu; Xilong Che; Bowen Kan; Yuhan Shao (CCF Trans. High Perform. Comput., 2024)

CCDF-TAP: A Context-Aware Conflict Detection Framework for IoT Trigger-Action Programming With Graph Neural Network. - Yongheng Xing; Liang Hu 001; Xinqi Du; Zhiqi Shen 001; Juncheng Hu; Feng Wang 014 (IEEE Internet Things J., 2024)

Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions. - Tianhao Ma; Han Chen; Juncheng Hu; Yungang Zhu; Ximing Li (CVPR, 2025)

Empowering LLMs to Understand and Generate Complex Vector Graphics. - Ximing Xing; Juncheng Hu; Guotao Liang; Jing Zhang; Dong Xu; Qian Yu (CVPR, 2025)

Quantum Delta Encoding: Optimizing Data Storage on Quantum Computers with Resource Efficiency. - Jiale Zhang 002; Xilong Che; Yuzhe Fan; Juncheng Hu (Euro-Par (3), 2025)

Boosting File Systems Elegantly: A Transparent NVM Write-ahead Log for Disk File Systems. - Guoyu Wang; Xilong Che; Haoyang Wei; Shuo Chen; Puyi He; Juncheng Hu (FAST, 2025)

Quantum Run-length Encoding: Optimizing Data Compression on Quantum Computers with Exponential Resource Efficiency. - Jiale Zhang; Xilong Che; Shiyong Jin; Kaifan Pan; Shun Peng; Juncheng Hu (ICASSP, 2025)

Denoising diffusion models with optimized quantum implicit neural networks for image generation. - Jiale Zhang 002; Xilong Che; Yuzhe Fan; Shun Peng; Geng Chen; Quangong Ma; Juncheng Hu (Future Gener. Comput. Syst., 2025)

StorStack: A full-stack design for in-storage file systems. - Juncheng Hu; Shuo Chen; Haoyang Wei; Guoyu Wang; Chenju Pei; Xilong Che (J. Syst. Archit., 2025)

Federated edge learning for medical image augmentation. - Shuai Li; Liang Hu 001; Chengyu Sun; Juncheng Hu; Hongtu Li (Appl. Intell., 2025)

Multi-Object Sketch Animation with Grouping and Motion Trajectory Priors. - Guotao Liang; Juncheng Hu; Ximing Xing; Jing Zhang; Qian Yu (CoRR, 2025)