A variational approach to nonlinear two-point boundary value problems. - Shuqiang Wang (Comput. Math. Appl., 2009)

Quantitative construction of regulatory networks using multiple sources of knowlege. - Shuqiang Wang; Han-Xiong Li (ICMLC, 2011)

Bayesian inference based modelling for gene transcriptional dynamics by integrating multiple source of knowledge. - Shuqiang Wang; Han-Xiong Li (BMC Syst. Biol., 2012)

Sharp Interface Algorithm for Large Density Ratio Incompressible Multiphase Magnetohydrodynamic Flows. - Tongfei Guo; Shuqiang Wang; Roman Samulyak (ICCS, 2013)

Resource allocation based on subcarrier grouping in OFDMA cognitive radio networks. - Yanyan Shen; Kyung Sup Kwak; Shuqiang Wang (ISCIT, 2014)

Modeling and analysis of gene regulatory networks with a Bayesian-driven approach. - Shuqiang Wang; Jinxing Hu; Yanyan Shen; Ling Yin 002; Yanjie Wei (ISCIT, 2014)

Resource Allocation for OFDMA Relay Networks with Wireless Information and Power Transfer. - Yanyan Shen; Kyung Sup Kwak; Bo Yang 006; Shuqiang Wang; Xiaoxia Huang; Xinping Guan; Ramesh R. Rao (GLOBECOM, 2015)

Alternate convex search method for resource allocation in OFDMA AF relay networks with energy harvesting. - Yanyan Shen; Xiaoxia Huang; Bo Yang 006; Shuqiang Wang (ICCC, 2015)

Identify myelopathic cervical spinal cord using diffusion tensor image: A data-driven approach. - Yong Hu 003; Tin Yan Chan; Xiang Li; Kin-Cheung Mak; Keith D. K. Luk; Shuqiang Wang (DSP, 2015)

Hadoop-Based Analysis for Large-Scale Click-Through Patterns in 4G Network. - Shuqiang Wang; Yanyan Shen; Jinxing Hu; Zhe Xuan; Zhe Lu (WASA, 2015)

Automatic Recognition of Mild Cognitive Impairment from MRI Images Using Expedited Convolutional Neural Networks. - Shuqiang Wang; Yanyan Shen; Wei Chen; Tengfei Xiao; Jinxing Hu (ICANN (1), 2017)

Fair Resource Allocation Algorithm for Chunk Based OFDMA Multi-User Networks. - Yanyan Shen; Xiaoxia Huang; Bo Yang 006; Shimin Gong; Shuqiang Wang (VTC Fall, 2017)

Subcarrier-Pairing-Based Resource Optimization for OFDM Wireless Powered Relay Transmissions With Time Switching Scheme. - Yanyan Shen; Xiaoxia Huang; Kyung Sup Kwak; Bo Yang 006; Shuqiang Wang (IEEE Trans. Signal Process., 2017)

Automatic Recognition of Mild Cognitive Impairment and Alzheimers Disease Using Ensemble based 3D Densely Connected Convolutional Networks. - Shuqiang Wang; Hongfei Wang; Yanyan Shen; Xiangyu Wang (ICMLA, 2018)

Densely-Connected Deep Learning System for Assessment of Skeletal Maturity. - Shuqiang Wang; Xiangyu Wang; Yong Hu 003 (SPML, 2018)

Skeletal Maturity Recognition Using a Fully Automated System With Convolutional Neural Networks. - Shuqiang Wang; Yanyan Shen; Changhong Shi; Peng Yin; Zuhui Wang; Prudence Wing-Hang Cheung; Jason Pui Yin Cheung; Keith Dip-Kei Luk; Yong Hu 003 (IEEE Access, 2018)

Classification of Diffusion Tensor Metrics for the Diagnosis of a Myelopathic Cord Using Machine Learning. - Shuqiang Wang; Yong Hu 003; Yanyan Shen; Han-Xiong Li (Int. J. Neural Syst., 2018)

Sum Rate Maximization for Multi-Carrier SWIPT Relay System With Non-Ideal Power Amplifier and Circuit Power Consumption. - Yanyan Shen; Bo Yang 006; Shuqiang Wang; Shimin Gong; Liang Xue; Xinping Guan (IEEE Access, 2019)

Establishment of cellular automata image model and its application in image dimension measurement. - Fei Peng; Shuqiang Wang; Shuo Liang (EURASIP J. Image Video Process., 2019)

Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer's disease. - Hongfei Wang; Yanyan Shen; Shuqiang Wang; Tengfei Xiao; Liming Deng; Xiangyu Wang; Xinyan Zhao (Neurocomputing, 2019)

Dominant-Modes-Based Sliding-Mode Observer for Estimation of Temperature Distribution in Rapid Thermal Processing System. - Tengfei Xiao; Xiao-Dong Li 011; Shuqiang Wang (IEEE Trans. Ind. Informatics, 2019)

Brain MR to PET Synthesis via Bidirectional Generative Adversarial Network. - Shengye Hu; Yanyan Shen; Shuqiang Wang; Baiying Lei (MICCAI (2), 2020)

Multi-scale Enhanced Graph Convolutional Network for Early Mild Cognitive Impairment Detection. - Shuangzhi Yu; Shuqiang Wang; Xiaohua Xiao; Jiuwen Cao; Guanghui Yue 001; Dongdong Liu; Tianfu Wang 001; Yanwu Xu 001; Baiying Lei (MICCAI (7), 2020)

Low complexity resource allocation algorithms for chunk based OFDMA multi-user networks with max-min fairness. - Yanyan Shen; Xiaoxia Huang; Bo Yang 006; Shuqiang Wang (Comput. Commun., 2020)

Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network. - Shuqiang Wang; Zhuo Chen; Wen Yu; Baiying Lei (CoRR, 2020)

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. - Senrong You; Yong Liu 018; Baiying Lei; Shuqiang Wang (CoRR, 2020)

Image edge detection algorithm based on fuzzy set. - Shuqiang Wang; Shuo Liang; Fei Peng (J. Intell. Fuzzy Syst., 2020)

Skin lesion segmentation via generative adversarial networks with dual discriminators. - Baiying Lei; Zaimin Xia; Feng Jiang; Xudong Jiang 001; Zongyuan Ge; Yanwu Xu 001; Jie Du 001; Siping Chen; Tianfu Wang 001; Shuqiang Wang (Medical Image Anal., 2020)

Deep and joint learning of longitudinal data for Alzheimer's disease prediction. - Baiying Lei; Mengya Yang; Peng Yang 011; Feng Zhou 003; Wen Hou; Wenbin Zou; Xia Li 006; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2020)

Effective Distributed Learning with Random Features: Improved Bounds and Algorithms. - Yong Liu 018; Jiankun Liu; Shuqiang Wang (ICLR, 2021)

Cervical Spondylotic Myelopathy Segmentation Using Shape-Aware U-net. - Zhuo Chen; Shuqiang Wang; Yong Hu 003; Huiyu Zhou 001; Yanyan Shen; Xiang Li (NCAA, 2021)

Resource Allocation and Trajectory Optimization for UAV Assisted Mobile Edge Computing Systems with Energy Harvesting. - Hao Wang; Yanyan Shen; Shan Wu; Shuqiang Wang (NCAA, 2021)

A Point Cloud Generative Model via Tree-Structured Graph Convolutions for 3D Brain Shape Reconstruction. - Bowen Hu; Baiying Lei; Yanyan Shen; Yong Liu 018; Shuqiang Wang (PRCV (2), 2021)

Characterization Multimodal Connectivity of Brain Network by Hypergraph GAN for Alzheimer's Disease Analysis. - Junren Pan; Baiying Lei; Yanyan Shen; Yong Liu 018; Zhiguang Feng; Shuqiang Wang (PRCV (3), 2021)

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer's Disease Prediction. - Qiankun Zuo; Baiying Lei; Yanyan Shen; Yong Liu 018; Zhiguang Feng; Shuqiang Wang (PRCV (3), 2021)

Average AoI Minimization in UAV-Assisted IoT Backscatter Communication Systems with Updated Information. - Xuhui Zhang; Weiran Luo; Yanyan Shen; Shuqiang Wang (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI, 2021)

DRL based Data Offloading for Intelligent Reflecting Surface Aided Mobile Edge Computing. - Xuhui Zhang; Yanyan Shen; Bo Yang 006; Weilin Zang; Shuqiang Wang (WCNC, 2021)

3D Brain Reconstruction by Hierarchical Shape-Perception Network from a Single Incomplete Image. - Bowen Hu; Baiying Lei; Yong Liu 018; Min Gan; Bingchuan Wang; Shuqiang Wang (CoRR, 2021)

DecGAN: Decoupling Generative Adversarial Network detecting abnormal neural circuits for Alzheimer's disease. - Junren Pan; Baiying Lei; Shuqiang Wang; Bingchuan Wang; Yong Liu 018; Yanyan Shen (CoRR, 2021)

A Prior Guided Adversarial Representation Learning and Hypergraph Perceptual Network for Predicting Abnormal Connections of Alzheimer's Disease. - Qiankun Zuo; Baiying Lei; Shuqiang Wang; Yong Liu 018; Bingchuan Wang; Yanyan Shen (CoRR, 2021)

Joint 3-D Trajectory and Resource Optimization in Multi-UAV-Enabled IoT Networks With Wireless Power Transfer. - Weiran Luo; Yanyan Shen; Bo Yang 006; Shuqiang Wang; Xinping Guan (IEEE Internet Things J., 2021)

A rest-time-based prognostic model for remaining useful life prediction of lithium-ion battery. - Liming Deng; Wenjing Shen; Hongfei Wang; Shuqiang Wang (Neural Comput. Appl., 2021)

Diabetic Retinopathy Diagnosis Using Multichannel Generative Adversarial Network With Semisupervision. - Shuqiang Wang; Xiangyu Wang; Yong Hu 003; Yanyan Shen; Zhile Yang; Min Gan; Baiying Lei (IEEE Trans Autom. Sci. Eng., 2021)

Insights Into Algorithms for Separable Nonlinear Least Squares Problems. - Guang-Yong Chen; Min Gan; Shuqiang Wang; C. L. Philip Chen (IEEE Trans. Image Process., 2021)

Feature-Selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. - Changwei Gong; Changhong Jing; Junren Pan; Yishan Wang; Shuqiang Wang (BI, 2022)

SRT: Shape Reconstruction Transformer for 3D Reconstruction of Point Cloud from 2D MRI. - Bowen Hu; Yanyan Shen; Guocheng Wu 001; Shuqiang Wang (ICMLC, 2022)

Brain MR Images Super-Resolution with the Consistent Features. - Senrong You; Yanyan Shen; Guocheng Wu 001; Shuqiang Wang (ICMLC, 2022)

Design and Manufacture of Auto Wiper Automatic Control System. - Shuqiang Wang; Xingning Xu (IPEC, 2022)

Dynamic Community Detection via Adversarial Temporal Graph Representation Learning. - Changwei Gong; Changhong Jing; Yanyan Shen; Shuqiang Wang (NCAA (2), 2022)

Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment. - Heng Kong; Junren Pan; Yanyan Shen; Shuqiang Wang (PRCV (2), 2022)

A two-phase differential evolution for minimax optimization. - Bing-Chuan Wang; Yun Feng 001; Xianbing Meng; Shuqiang Wang (Appl. Soft Comput., 2022)

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease. - Junren Pan; Shuqiang Wang (CoRR, 2022)

Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. - Changwei Gong; Changhong Jing; Junren Pan; Shuqiang Wang (CoRR, 2022)

Adversarial Learning Based Structural Brain-network Generative Model for Analyzing Mild Cognitive Impairment. - Heng Kong; Shuqiang Wang (CoRR, 2022)

Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits. - Changwei Gong; Changhong Jing; Ye Li; Xinan Liu; Zuxin Chen; Shuqiang Wang (CoRR, 2022)

WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement. - Zinuo Li; Xuhang Chen 002; Chi-Man Pun; Shuqiang Wang (CoRR, 2022)

Predictive effect of computed tomography imaging omics features under deep learning on metastatic lymph nodes of nasopharyngeal carcinoma. - Jianpeng Yuan; Wensheng Huang; Yongshun Wu; Long Liu; Chao Bu; Shuqiang Wang; Weidong Zhang (Expert Syst. J. Knowl. Eng., 2022)

Predicting clinical scores for Alzheimer's disease based on joint and deep learning. - Baiying Lei; Enmin Liang; Mengya Yang; Peng Yang 011; Feng Zhou 003; Ee-Leng Tan; Yi Lei; Chuan-Ming Liu; Tianfu Wang 001; Xiaohua Xiao; Shuqiang Wang (Expert Syst. Appl., 2022)

Longitudinal study of early mild cognitive impairment via similarity-constrained group learning and self-attention based SBi-LSTM. - Baiying Lei; Yuwen Zhang; Dongdong Liu; Yanwu Xu 001; Guanghui Yue 001; Jiuwen Cao; Huoyou Hu; Shuangzhi Yu; Peng Yang 011; Tianfu Wang 001; Yali Qiu; Xiaohua Xiao; et al. (Knowl. Based Syst., 2022)

Brain stroke lesion segmentation using consistent perception generative adversarial network. - Shuqiang Wang; Zhuo Chen; Senrong You; Bingchuan Wang; Yanyan Shen; Baiying Lei (Neural Comput. Appl., 2022)

Bidirectional Mapping Generative Adversarial Networks for Brain MR to PET Synthesis. - Shengye Hu; Baiying Lei; Shuqiang Wang; Yong Wang 002; Zhiguang Feng; Yanyan Shen (IEEE Trans. Medical Imaging, 2022)

Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. - Wen Yu; Baiying Lei; Michael K. Ng 001; Albert C. Cheung; Yanyan Shen; Shuqiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2022)

An Ensemble-Based Densely-Connected Deep Learning System for Assessment of Skeletal Maturity. - Shuqiang Wang; Xiangyu Wang; Yanyan Shen; Bing He; Xinyan Zhao; Prudence Wing-Hang Cheung; Jason Pui Yin Cheung; Keith Dip-Kei Luk; Yong Hu 003 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Cross-Modal Transformer GAN: A Brain Structure-Function Deep Fusing Framework for Alzheimer's Disease. - Junren Pan; Changhong Jing; Qiankun Zuo; Martin Nieuwoudt; Shuqiang Wang (BICS, 2023)

MR Image Super-Resolution Using Wavelet Diffusion for Predicting Alzheimer's Disease. - Guoli Huang; Xuhang Chen 002; Yanyan Shen; Shuqiang Wang (BI, 2023)

Graph Diffusion Reconstruction Network for Addictive Brain-Networks Identification. - Changhong Jing; Changwei Gong; Zuxin Chen; Shuqiang Wang (BI, 2023)

Generative AI Enables the Detection of Autism Using EEG Signals. - Yisheng Li; Iman Yi Liao; Ning Zhong 001; Furukawa Toshihiro; Yishan Wang; Shuqiang Wang (CCBR, 2023)

Shadocnet: Learning Spatial-Aware Tokens in Transformer for Document Shadow Removal. - Xuhang Chen 002; Xiaodong Cun; Chi-Man Pun; Shuqiang Wang (ICASSP, 2023)

AoI-Aware UAV-Enabled Marine MEC Networks with Integrated Sensing, Computation, and Communication. - Wenchao Liu; Zhenzhen Jin; Xuhui Zhang; Weilin Zang; Shuqiang Wang; Yanyan Shen (ICCC Workshops, 2023)

A Large-Scale Film Style Dataset for Learning Multi-frequency Driven Film Enhancement. - Zinuo Li; Xuhang Chen 002; Shuqiang Wang; Chi-Man Pun (IJCAI, 2023)

Conditional Diffusion Model-Based Data Augmentation for Alzheimer's Prediction. - Weiheng Yao; Yanyan Shen; Fred Nicolls; Shuqiang Wang (NCAA (1), 2023)

Brain Diffuser: An End-to-End Brain Image to Brain Network Pipeline. - Xuhang Chen 002; Baiying Lei; Chi-Man Pun; Shuqiang Wang (PRCV (13), 2023)

SG-GAN: Fine Stereoscopic-Aware Generation for 3D Brain Point Cloud Up-sampling from a Single Image. - Bowen Hu; Baiying Lei; Shuqiang Wang (CoRR, 2023)

Brain Structure-Function Fusing Representation Learning using Adversarial Decomposed-VAE for Analyzing MCI. - Qiankun Zuo; Baiying Lei; Ning Zhong 001; Yi Pan 001; Shuqiang Wang (CoRR, 2023)

DocDeshadower: Frequency-aware Transformer for Document Shadow Removal. - Shenghong Luo; Ruifeng Xu; Xuhang Chen 002; Zinuo Li; Chi-Man Pun; Shuqiang Wang (CoRR, 2023)

ShaDocFormer: A Shadow-attentive Threshold Detector with Cascaded Fusion Refiner for document shadow removal. - Weiwen Chen; Shenghong Luo; Xuhang Chen 002; Zinuo Li; Shuqiang Wang; Chi-Man Pun (CoRR, 2023)

BGGAN: Generative AI Enables Representing Brain Structure-Function Connections for Alzheimer's Disease. - Chen Ding; Shuqiang Wang (CoRR, 2023)

DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI. - Qiankun Zuo; Ruiheng Li; Yi Di; Hao Tian 009; Changhong Jing; Xuhang Chen 002; Shuqiang Wang (CoRR, 2023)

Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network. - Qiankun Zuo; Junren Pan; Shuqiang Wang (CoRR, 2023)

MedPrompt: Cross-Modal Prompting for Multi-Task Medical Image Translation. - Xuhang Chen 002; Chi-Man Pun; Shuqiang Wang (CoRR, 2023)

UWFormer: Underwater Image Enhancement via a Semi-Supervised Multi-Scale Transformer. - Xuhang Chen 002; Zinuo Li; Shenghong Luo; Weiwen Chen; Shuqiang Wang; Chi-Man Pun (CoRR, 2023)

BrainNetDiff: Generative AI Empowers Brain Network Generation via Multimodal Diffusion Model. - Yongcheng Zong; Shuqiang Wang (CoRR, 2023)

Brain Diffuser with Hierarchical Transformer for MCI Causality Analysis. - Qiankun Zuo; Ling Chen; Shuqiang Wang (CoRR, 2023)

Multi-scale enhanced graph convolutional network for mild cognitive impairment detection. - Baiying Lei; Yun Zhu; Shuangzhi Yu; Huoyou Hu; Yanwu Xu 001; Guanghui Yue 001; Tianfu Wang 001; Cheng Zhao 003; Shaobin Chen; Peng Yang 011; Xuegang Song; Xiaohua Xiao; et al. (Pattern Recognit., 2023)

LAC-GAN: Lesion attention conditional GAN for Ultra-widefield image synthesis. - Haijun Lei; Zhihui Tian; Hai Xie; Benjian Zhao; Xianlu Zeng; Jiuwen Cao; Weixin Liu; Jiantao Wang; Guoming Zhang; Shuqiang Wang; Baiying Lei (Neural Networks, 2023)

TA-GAN: transformer-driven addiction-perception generative adversarial network. - Changhong Jing; Changwei Gong; Zuxin Chen; Baiying Lei; Shuqiang Wang (Neural Comput. Appl., 2023)

Average AoI minimization for data collection in UAV-enabled IoT backscatter communication systems with the finite blocklength regime. - Yanyan Shen; Weiran Luo; Shuqiang Wang; Xiaoxia Huang (Ad Hoc Networks, 2023)

Morphological Feature Visualization of Alzheimer's Disease via Multidirectional Perception GAN. - Wen Yu; Baiying Lei; Shuqiang Wang; Yong Liu 018; Zhiguang Feng; Yong Hu 003; Yanyan Shen; Michael K. Ng 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Fundus Image-Label Pairs Synthesis and Retinopathy Screening via GANs With Class-Imbalanced Semi-Supervised Learning. - Yingpeng Xie; Qiwei Wan; Hai Xie; Yanwu Xu 001; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (IEEE Trans. Medical Imaging, 2023)

Fine Perceptive GANs for Brain MR Image Super-Resolution in Wavelet Domain. - Senrong You; Baiying Lei; Shuqiang Wang; Charles K. Chui; Albert C. Cheung; Yong Liu 018; Min Gan; Guo-Cheng Wu 001; Yanyan Shen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Addictive brain-network identification by spatial attention recurrent network with feature selection. - Changwei Gong; Xinyi Chen; Bushra Mughal; Shuqiang Wang (Brain Informatics, 2023)

Federated Domain Adaptation via Transformer for Multi-Site Alzheimer's Disease Diagnosis. - Baiying Lei; Yun Zhu; Enmin Liang; Peng Yang 011; Shaobin Chen; Huoyou Hu; Haoran Xie 001; Ziyi Wei; Fei Hao; Xuegang Song; Tianfu Wang 001; Xiaohua Xiao; et al. (IEEE Trans. Medical Imaging, 2023)

Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion. - Shenghong Luo; Xuhang Chen 002; Weiwen Chen; Zinuo Li; Shuqiang Wang; Chi-Man Pun (AAAI, 2024)

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. - Zhirui Yang; Yulan Hu; Sheng Ouyang; Jingyu Liu; Shuqiang Wang; Xibo Ma; Wenhan Wang; Hanjing Su; Yong Liu 018 (AAAI, 2024)

Structural Brain Network Generation via Brain Denoising Diffusion Probabilistic Model. - Hongjie Jiang; Xuhang Chen 002; Changhong Jing; Shuqiang Wang (AIiH (1), 2024)

BrainNetDiff: Generative AI Empowers Brain Network Construction Via Multimodal Diffusion. - Yongcheng Zong; Changhong Jing; Jonathan H. Chan; Shuqiang Wang (ISBI, 2024)

Dual-Hybrid Attention Network for Specular Highlight Removal. - Xiaojiao Guo; Xuhang Chen 002; Shenghong Luo; Shuqiang Wang; Chi-Man Pun (ACM Multimedia, 2024)

Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition. - Yihang Dong; Xuhang Chen 002; Yanyan Shen; Michael Kwok-Po Ng; Tao Qian; Shuqiang Wang (NCAA (3), 2024)

MedPrompt: Cross-modal Prompting for Multi-task Medical Image Translation. - Xuhang Chen 002; Shenghong Luo; Chi-Man Pun; Shuqiang Wang (PRCV (14), 2024)

Intelligent Reflecting Surface Aided Mobile Edge Computing with Rate-Splitting Multiple Access. - Yinyu Wu; Xuhui Zhang; Huijun Xing; Weilin Zang; Shuqiang Wang; Yanyan Shen (VTC Spring, 2024)

Spatio-Temporal Adaptive Diffusion Models for EEG Super-Resolution in Epilepsy Diagnosis. - Tong Zhou; Shuqiang Wang (CoRR, 2024)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs. - Yisheng Li; Shuqiang Wang (CoRR, 2024)

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation. - Weiheng Yao; Shuqiang Wang (CoRR, 2024)

Hierarchical Learning for IRS-Assisted MEC Systems with Rate-Splitting Multiple Access. - Yinyu Wu; Xuhui Zhang; Jinke Ren; Yanyan Shen; Bo Yang 006; Shuqiang Wang; Xinping Guan; Dusit Niyato (CoRR, 2024)

Retrieval-Augmented Generation for Mobile Edge Computing via Large Language Model. - Runtao Ren; Yinyu Wu; Xuhui Zhang; Jinke Ren; Yanyan Shen; Shuqiang Wang; Kim-Fung Tsang (CoRR, 2024)

Alzheimer's disease diagnosis from multi-modal data via feature inductive learning and dual multilevel graph neural network. - Baiying Lei; Yafeng Li; Wanyi Fu; Peng Yang 011; Shaobin Chen; Tianfu Wang 001; Xiaohua Xiao; Tianye Niu; Yu Fu; Shuqiang Wang; Hongbin Han; Jing Qin 001 (Medical Image Anal., 2024)

Generative artificial intelligence-enabled dynamic detection of rat nicotine-related circuits. - Changwei Gong; Changhong Jing; Xin-an Liu; Victoria X. Wang; Cheuk Ying Tang; Paul J. Kenny; Ye Li; Zuxin Chen; Shuqiang Wang (Neural Comput. Appl., 2024)

Hybrid federated learning with brain-region attention network for multi-center Alzheimer's disease detection. - Baiying Lei; Yu Liang; Jiayi Xie; You Wu; Enmin Liang; Yong Liu 018; Peng Yang 011; Tianfu Wang 001; Chuan-Ming Liu; Jichen Du; Xiaohua Xiao; Shuqiang Wang (Pattern Recognit., 2024)

Generative AI Enables Synthesizing Cross-Modality Brain Image via Multi-Level-Latent Representation Learning. - Senrong You; Bin Yuan; Zhihan Lyu; Charles K. Chui; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Computational Imaging, 2024)

WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement. - Zinuo Li; Xuhang Chen 002; Shu-Na Guo; Shuqiang Wang; Chi-Man Pun (J. Comput. Sci. Technol., 2024)

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer's Disease. - Qiankun Zuo; Huisi Wu; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Cybern., 2024)

Safety helmet detection based on improved YOLOv7-tiny with multiple feature enhancement. - Shuqiang Wang; Peiyang Wu; Qingqing Wu 015 (J. Real Time Image Process., 2024)

Estimating Addiction-Related Brain Connectivity by Prior-Embedding Graph Generative Adversarial Networks. - Changhong Jing; Yanyan Shen; Shen Zhao; Yi Pan 001; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Cybern., 2024)

3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer's Disease Diagnosis. - Zifeng Qiu; Peng Yang 011; Chunlun Xiao; Shuqiang Wang; Xiaohua Xiao; Jing Qin 001; Chuan-Ming Liu; Tianfu Wang 001; Baiying Lei (IEEE Trans. Medical Imaging, 2024)

DecGAN: Decoupling Generative Adversarial Network for Detecting Abnormal Neural Circuits in Alzheimer's Disease. - Junren Pan; Qiankun Zuo; Bing-Chuan Wang; C. L. Philip Chen; Baiying Lei; Shuqiang Wang (IEEE Trans. Artif. Intell., 2024)

3-D Brain Reconstruction by Hierarchical Shape-Perception Network From a Single Incomplete Image. - Bowen Hu; Choujun Zhan; Buzhou Tang; Bingchuan Wang; Baiying Lei; Shuqiang Wang (IEEE Trans. Neural Networks Learn. Syst., 2024)

IG-GCN: Empowering e-Health Services for Alzheimer's Disease Prediction. - Xinyi Chen; Weiheng Yao; Ye Li 011; Dong Liang 001; Hairong Zheng; Sadia Shakil; Shuqiang Wang; Tao Sun 025 (IEEE Trans. Consumer Electron., 2024)

MFDNet: Multi-Frequency Deflare Network for efficient nighttime flare removal. - Yiguo Jiang; Xuhang Chen 002; Chi-Man Pun; Shuqiang Wang; Wei Feng 005 (Vis. Comput., 2024)

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model. - Yihang Dong; Changhong Jing; Mufti Mahmud; Michael Kwok-Po Ng; Shuqiang Wang (Brain Informatics, 2024)

Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. - Changhong Jing; Hongzhi Kuai; Hiroki Matsumoto; Tomoharu Yamaguchi; Iman Yi Liao; Shuqiang Wang (Brain Informatics, 2024)

Context-aware focal alignment network for micro-video multi-label classification. - Bin Yuan; Weiheng Yao; Peiguang Jing; Jing Zhang 038; Kim Fung Tsang; Shuqiang Wang (Pattern Anal. Appl., 2024)

A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-Based Graph Contrastive Learning. - Yongcheng Zong; Qiankun Zuo; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Locally similar multi-hop fusion GNNs with data augmentation for early Alzheimer's detection. - Gai Li; Yuwen Zhang; Xuegang Song; Peng Yang 011; Lei Dong; Yaohui Huang; Xiaohua Xiao; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (Expert Syst. Appl., 2025)

BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment. - Qiankun Zuo; Ling Chen; Yanyan Shen; Michael Kwok-Po Ng; Baiying Lei; Shuqiang Wang (IEEE Trans Autom. Sci. Eng., 2025)

Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning. - Shuqiang Wang; Tong Zhou; Yanyan Shen; Ye Li 002; Guoheng Huang; Yong Hu 003 (IEEE Trans. Consumer Electron., 2025)

Large-Scale Multiobjective Edge Server Offloading Optimization for Task-Intensive Vehicle-Road Cooperation. - Bin Cao 005; Qi Han; Shuqiang Wang; Zhihan Lyu (IEEE Internet Things J., 2025)

Joint Association, Beamforming, and Resource Allocation for Multi-IRS Enabled MU-MISO Systems With RSMA. - Chunjie Wang; Xuhui Zhang; Huijun Xing; Liang Xue; Shuqiang Wang; Yanyan Shen; Bo Yang 006; Xinping Guan (IEEE Trans. Mob. Comput., 2025)

Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification. - Jing Wang; Jun-En Ding; Feng Liu 011; Elisa Kallioniemi; Shuqiang Wang; Wen-Xiang Tsai; Albert C. Yang (CoRR, 2025)

High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework. - Xuhang Chen 002; Zhuo Li; Yanyan Shen; Mufti Mahmud; Hieu Pham; Chi-Man Pun; Shuqiang Wang (CoRR, 2025)

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging. - Xuhang Chen 002; Michael Kwok-Po Ng; Kim-Fung Tsang; Chi-Man Pun; Shuqiang Wang (CoRR, 2025)

Coordinated Beamforming for RIS-Empowered ISAC Systems over Secure Low-Altitude Networks. - Chunjie Wang; Xuhui Zhang; Wenchao Liu; Jinke Ren; Huijun Xing; Shuqiang Wang; Yanyan Shen (CoRR, 2025)

BG-GAN: Generative AI Enable Representing Brain Structure-Function Connections for Alzheimer's Disease. - Tong Zhou; Chen Ding; Changhong Jing; Feng Liu 011; Kevin Hung; Hieu Pham; Mufti Mahmud; Zhihan Lyu; Sibo Qiao; Shuqiang Wang; Kim-Fung Tsang (IEEE Trans. Consumer Electron., 2025)

Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis. - Xiaojiao Guo; Xuhang Chen 002; Shuqiang Wang; Chi-Man Pun (IEEE Trans. Circuits Syst. Video Technol., 2025)

Application of Explainable Artificial Intelligence in Autism Spectrum Disorder Detection. - Viswan Vimbi; Noushath Shaffi; Mohamed A. K. Sadiq; Srinivasa Rao Sirasanagandla; V. N. Manjunath Aradhya; M. Shamim Kaiser; Shuqiang Wang; Mufti Mahmud (Cogn. Comput., 2025)

Empowering Functional Neuroimaging: A Pre-trained Generative Framework for Unified Representation of Neural Signals. - Weiheng Yao; Xuhang Chen 002; Shuqiang Wang (CoRR, 2025)

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings. - Yi Guo; Yihang Dong; Michael Kwok-Po Ng; Shuqiang Wang (CoRR, 2025)

Brain Network Analysis Based on Fine-tuned Self-supervised Model for Brain Disease Diagnosis. - Yifei Tang; Hongjie Jiang; Changhong Jing; Hieu Pham; Shuqiang Wang (CoRR, 2025)

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs. - Yisheng Li; Yishan Wang; Baiying Lei; Shuqiang Wang (IEEE Trans. Medical Imaging, 2025)

Knowledge-Aware Multisite Adaptive Graph Transformer for Brain Disorder Diagnosis. - Xuegang Song; Kaixiang Shu; Peng Yang 011; Cheng Zhao 003; Feng Zhou 003; Alejandro F. Frangi; Xiaohua Xiao; Lei Dong; Tianfu Wang 001; Shuqiang Wang; Baiying Lei (IEEE Trans. Medical Imaging, 2025)

UltraDfeGAN: Detail-Enhancing Generative Adversarial Networks for High-Fidelity Functional Ultrasound Synthesis. - Zhuo Li; Xuhang Chen 002; Shuqiang Wang (CoRR, 2025)

CATD: Unified Representation Learning for EEG-to-fMRI Cross-Modal Generation. - Weiheng Yao; Zhihan Lyu; Mufti Mahmud; Ning Zhong 001; Baiying Lei; Shuqiang Wang (IEEE Trans. Medical Imaging, 2025)

PTSM: Physiology-aware and Task-invariant Spatio-temporal Modeling for Cross-Subject EEG Decoding. - Changhong Jing; Yan Liu; Shuqiang Wang; Bruce X. B. Yu; Gong Chen; Zhejing Hu; Zhi Zhang; Yanyan Shen (CoRR, 2025)

Joint Beamforming Design for RIS-Empowered NOMA-ISAC Systems. - Chunjie Wang; Xuhui Zhang; Jinke Ren; Wenchao Liu; Shuqiang Wang; Yanyan Shen; Kejiang Ye; Chengzhong Xu 001; Dusit Niyato (CoRR, 2025)