Nonlocal Similarity Regularized Sparsity Model for Hyperspectral Target Detection. - Zhongwei Huang; Zhenwei Shi; Shuo Yang (IEEE Geosci. Remote. Sens. Lett., 2013)

An Inner-Product-Based Discriminative IRLS Algorithm for Sparse Hyperspectral Detection. - Zhongwei Huang; Zhenwei Shi; Yun Zhang 014 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Joint detection and clinical score prediction in Parkinson's disease via multi-modal sparse learning. - Haijun Lei; Zhongwei Huang; Jian Zhang; Zhang Yang; Ee-Leng Tan; Feng Zhou 003; Bai Ying Lei (Expert Syst. Appl., 2017)

Multi-classification of Parkinson's Disease via Sparse Low-Rank Learning. - Haijun Lei; Yujia Zhao; Zhongwei Huang; Feng Zhou 003; Limin Huang; Baiying Lei (ICPR, 2018)

Longitudinal and multi-modal data learning for Parkinson's disease diagnosis. - Zhongwei Huang; Haijun Lei; Yujia Zhao; Feng Zhou 003; Jin Yan; Ahmed El-Azab; Baiying Lei (ISBI, 2018)

Longitudinal and Multi-modal Data Learning via Joint Embedding and Sparse Regression for Parkinson's Disease Diagnosis. - Haijun Lei; Zhongwei Huang; Ahmed El-Azab; Hancong Li; Baiying Lei (MLMI@MICCAI, 2018)

Real-Time Observations of Dust-Cloud Interactions Based on Polarization and Raman Lidar Measurements. - Zhongwei Huang; Jan-Bai Nee; Chih-Wei Chiang; Shuang Zhang; Hongchun Jin; Wencai Wang; Tian Zhou (Remote. Sens., 2018)

Unsupervised Feature Selection via Adaptive Embedding and Sparse Learning for Parkinson's Disease Diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Shiqi Li; Hancong Li; Ahmed El-Azab; Baiying Lei (CNI@MICCAI, 2019)

Diagnosis of Parkinson's Disease in Genetic Cohort Patients via Stage-Wise Hierarchical Deep Polynomial Ensemble Learning. - Haijun Lei; Hancong Li; Ahmed Elazab; Xuegang Song; Zhongwei Huang; Baiying Lei (PRIME@MICCAI, 2019)

Atmosphere Boundary Layer Height (ABLH) Determination under Multiple-Layer Conditions Using Micro-Pulse Lidar. - Ruijun Dang; Yi Yang 023; Hong Li; Xiao-Ming Hu; Zhiting Wang; Zhongwei Huang; Tian Zhou; Tiejun Zhang (Remote. Sens., 2019)

Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations. - Haijun Lei; Zhongwei Huang; Feng Zhou 003; Ahmed El-Azab; Ee-Leng Tan; Hancong Li; Jing Qin 001; Baiying Lei (IEEE J. Biomed. Health Informatics, 2019)

Longitudinal Feature Selection and Feature Learning for Parkinson's Disease Diagnosis and Prediction. - Zhongwei Huang; Haijun Lei; Shiqi Li; Xiaohua Xiao; Ee-Leng Tan; Baiying Lei (ICPR, 2020)

Template-Oriented Multi-task Sparse Low-Rank Learning for Parkinson's Diseases Diagnosis. - Zihao Chen; Haijun Lei; Yujia Zhao; Zhongwei Huang; Xiaohua Xiao; Yi Lei; Ee-Leng Tan; Baiying Lei (PRIME@MICCAI, 2020)

Composing and deploying parallelized service function chains. - Jun Cai 002; Zhongwei Huang; Jianzhen Luo; Yan Liu 042; Huimin Zhao 001; Liping Liao (J. Netw. Comput. Appl., 2020)

Adaptive sparse learning using multi-template for neurodegenerative disease diagnosis. - Baiying Lei; Yujia Zhao; Zhongwei Huang; Xiaoke Hao; Feng Zhou 003; Ahmed Elazab; Jing Qin 001; Haijun Lei (Medical Image Anal., 2020)

Latent Space Learning and Feature Learning using Multi-template for Multi-classification of Alzheimer's Disease. - Zihao Chen; Haijun Lei; Zhongwei Huang; Baiying Lei (EMBC, 2021)

Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-Photometer Setting. - Tianhe Wang; Ying Han; Wenli Hua; Jingyi Tang; Jianping Huang; Tian Zhou; Zhongwei Huang; Jianrong Bi; Hailing Xie (Remote. Sens., 2021)

Detection of a Dust Storm in 2020 by a Multi-Observation Platform over the Northwest China. - Lili Yang 005; Zhiyuan Hu; Zhongwei Huang; Lina Wang; Wenyu Han; Yanping Yang; Huijie Tao; Jing Wang (Remote. Sens., 2021)

APPM: Adaptive Parallel Processing Mechanism for Service Function Chains. - Jun Cai 002; Zhongwei Huang; Liping Liao; Jianzhen Luo; Waixi Liu 001 (IEEE Trans. Netw. Serv. Manag., 2021)

A novel MADM method of interval 2-tuple q-rung orthopair fuzzy sets and GRA for DFD schemes. - Honghao Zhang; Zhongwei Huang; Guangdong Tian (ICNSC, 2022)

Parkinson's Disease Classification with Self-supervised Learning and Attention Mechanism. - Yuchen Zhang; Haijun Lei; Zhongwei Huang; Zhen Li 047; Chuan-Ming Liu; Baiying Lei (ICPR, 2022)

Attention-based Graph Neural Network for the Classification of Parkinson's Disease. - Menglu Zhao; Haijun Lei; Zhongwei Huang; Yuchen Zhang; Zhen Li 047; Chuan-Ming Liu; Baiying Lei (ICPR, 2022)

Hierarchical Pooling Graph Convolutional Neural Network for Alzheimer's Disease Diagnosis. - Wenya Liu; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001 (PRICAI (1), 2022)

VaeSSC: Enhanced GRN Inference with Structural Similarity Constrained Beta-VAE. - Hongmin Zhang; Ming Shi 001; Zhongwei Huang; Zhi Yang 006; Ran Zhou 002; Haitao Gan (PRICAI (1), 2022)

Delay Constrained Hybrid Task Offloading of Internet of Vehicle: A Deep Reinforcement Learning Method. - Chenhao Wu 004; Zhongwei Huang; Yuntao Zou (IEEE Access, 2022)

Multi-center sparse learning and decision fusion for automatic COVID-19 diagnosis. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Haimei Li; Chuandong Li; Wenwen Gao; Yue Chen; Yaofa Wang; Haibo Xu; Guolin Ma; Baiying Lei (Appl. Soft Comput., 2022)

Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network. - Haijun Lei; Yuchen Zhang; Hancong Li; Zhongwei Huang; Chien-Hung Liu; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Baiying Lei (Comput. Biol. Medicine, 2022)

Efficiency Analysis of Sports Equipment Batch Management Based on Antimetal RFID Tag. - Zhongwei Huang; Xuebin Sun (J. Sensors, 2022)

Polarization Lidar Measurements of Dust Optical Properties at the Junction of the Taklimakan Desert-Tibetan Plateau. - Qingqing Dong; Zhongwei Huang; Wuren Li; Ze Li; Xiaodong Song; Wentao Liu; Tianhe Wang; Jianrong Bi; Jinsen Shi (Remote. Sens., 2022)

CALIOP-Based Quantification of Central Asian Dust Transport. - Ying Han; Tianhe Wang; Ruiqi Tan; Jingyi Tang; Chengyun Wang; Shanjuan He; Yuanzhu Dong; Zhongwei Huang; Jianrong Bi (Remote. Sens., 2022)

A New Algorithm of Atmospheric Boundary Layer Height Determined from Polarization Lidar. - Bisen Han; Tian Zhou; Xiaowen Zhou; Shuya Fang; Jianping Huang; Qing He; Zhongwei Huang; Minzhong Wang (Remote. Sens., 2022)

Vertical Structure of Dust Aerosols Observed by a Ground-Based Raman Lidar with Polarization Capabilities in the Center of the Taklimakan Desert. - Shuang Zhang; Zhongwei Huang; Meishi Li; Xingtai Shen; Yongkai Wang; Qingqing Dong; Jianrong Bi; Jiantao Zhang; Wuren Li; Ze Li; Xiaodong Song (Remote. Sens., 2022)

Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. - Zhongwei Huang; Haijun Lei; Guoliang Chen 005; Alejandro F. Frangi; Yanwu Xu 001; Ahmed Elazab; Jing Qin 001; Baiying Lei (IEEE Trans. Neural Networks Learn. Syst., 2022)

Evaluation and spatio-temporal analysis of surface energy flux in permafrost regions over the Qinghai-Tibet Plateau and Arctic using CMIP6 models. - Junjie Ma; Ren Li; Zhongwei Huang; Tonghua Wu; Xiaodong Wu; Lin Zhao 013; Hongchao Liu; Guojie Hu; Yao Xiao; Yizhen Du; Shuhua Yang; Wenhao Liu; et al. (Int. J. Digit. Earth, 2022)

HD-GCN: A Hybrid Diffusion Graph Convolutional Network. - Zhi Yang 006; Kang Li; Haitao Gan; Zhongwei Huang; Ming Shi 001 (CoRR, 2023)

Self-training with dual uncertainty for semi-supervised medical image segmentation. - Zhanhong Qiu; Haitao Gan; Ming Shi 001; Zhongwei Huang; Zhi Yang 006 (CoRR, 2023)

Collective reinforcement learning based resource allocation for digital twin service in 6G networks. - Zhongwei Huang; Dagang Li 001; Jun Cai 002; Hua Lu 012 (J. Netw. Comput. Appl., 2023)

Exploring the Spatiotemporal Variation in Light-Absorbing Aerosols and Its Relationship with Meteorology over the Hindukush-Himalaya-Karakoram Region. - Syed Shakeel Ahmad Shah; Zhongwei Huang; Ehtiram ul Haq; Khan Alam (Remote. Sens., 2023)

Assessment of Runoff Components of River Flow in the Karakoram Mountains, Pakistan, during 1995-2010. - Mateeul Haq; Muhammad Jawed Iqbal; Khan Alam; Zhongwei Huang; Thomas Blaschke; Salman Qureshi; Muhammad Sher (Remote. Sens., 2023)

Derived Profiles of CCN and INP Number Concentrations in the Taklimakan Desert via Combined Polarization Lidar, Sun-Photometer, and Radiosonde Observations. - Shuang Zhang; Zhongwei Huang; Khan Alam; Meishi Li; Qingqing Dong; Yongkai Wang; Xingtai Shen; Jianrong Bi; Jiantao Zhang; Wuren Li; Ze Li; Wenbiao Wang; et al. (Remote. Sens., 2023)

Delay Constrained SFC Orchestration for Edge Intelligence-Enabled IIoT: A DRL Approach. - Zhongwei Huang; Weijian Zhong; Dagang Li 001; Hua Lu 012 (J. Netw. Syst. Manag., 2023)

Early diagnosis and clinical score prediction of Parkinson's disease based on longitudinal neuroimaging data. - Haijun Lei; Yukang Lei; Zihao Chen; Shiqi Li; Zhongwei Huang; Feng Zhou 003; Ee-Leng Tan; Xiaohua Xiao; Yi Lei; Huoyou Hu; Yaohui Huang; Chien-Hung Liu; et al. (Neural Comput. Appl., 2023)

Preference-based multi-attribute decision-making method with spherical-Z fuzzy sets for green product design. - Zhongwei Huang; Honghao Zhang; Danqi Wang; Hao Yu; Lingyu Wang; Dongtao Yu; Yong Peng (Eng. Appl. Artif. Intell., 2023)

ComMGAE: Community Aware Masked Graph AutoEncoder. - Gaohang Jiang; Xu Jin; Mengyu Luo; Jianxia Chen; Zhongwei Huang; Jing Wang (ICANN (5), 2024)

Improved Multi-hop Reasoning Through Sampling and Aggregating. - Mengyu Luo; Jianxia Chen; Qi Yan; Gaohang Jiang; Shi Dong; Liang Xiao; Zhongwei Huang (ICANN (1), 2024)

Contrastive pre-training of Soft-Clustering GCN for diagnosing Alzheimer's disease. - Sihui Ge; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ji Wang (IJCNN, 2024)

Adaptive Sparse Learning Based on Flexible Graph Embedding for Parkinson's Disease Diagnosis. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Ran Zhou 002; Jun Wan; Haitao Gan (IJCNN, 2024)

Parkinson's Disease Diagnosis with Sparse Learning of Multi-Modal Adaptive Similarity. - Jianqiang Li 005; Jiatao Yang; Haitao Gan; Zhongwei Huang (ISBI, 2024)

Multi-Field Distributions Generation for Complex Objects Using a Deep Learning-Based Image Processing Method. - Chenhao Wu 004; Shuojin Yang; Zhongwei Huang; Yuntao Zou; Jiang Liu (IST, 2024)

Low-Coupling Policy Optimization Framework for Power Allocation in Ultra-Dense Small-Cell Networks. - Haibo Chen; Xiao Liu; Zhongwei Huang; Yewen Cao; Deqiang Wang (IEEE Access, 2024)

Self-training with dual uncertainty for semi-supervised MRI image segmentation. - Zhanhong Qiu; Haitao Gan; Ming Shi 001; Zhongwei Huang; Zhi Yang 006 (Biomed. Signal Process. Control., 2024)

Alzheimer's disease classification based on brain region-to-sample graph convolutional network. - Zhi Yang 006; Wenya Liu; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001 (Biomed. Signal Process. Control., 2024)

Tri-correcting: Label noise correction via triple CNN ensemble for carotid plaque ultrasound image classification. - Ran Zhou 002; Weiyan Gan; Furong Wang; Zhi Yang 006; Zhongwei Huang; Haitao Gan (Biomed. Signal Process. Control., 2024)

JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression. - Ran Zhou 002; Yang Liu; Wei Xia; Yu Guo; Zhongwei Huang; Haitao Gan; Aaron Fenster (Comput. Biol. Medicine, 2024)

WAL-Net: Weakly supervised auxiliary task learning network for carotid plaques classification. - Haitao Gan; Lingchao Fu; Ran Zhou 002; Weiyan Gan; Furong Wang; Xiaoyan Wu; Zhi Yang 006; Zhongwei Huang (Eng. Appl. Artif. Intell., 2024)

Task Decomposition and Hierarchical Scheduling for Collaborative Cloud-Edge-End Computing. - Jun Cai 002; Wei Liu; Zhongwei Huang; Fei Richard Yu (IEEE Trans. Serv. Comput., 2024)

Privacy-Preserving Deployment Mechanism for Service Function Chains Across Multiple Domains. - Jun Cai 002; Zirui Zhou; Zhongwei Huang; Wenlong Dai; Fei Richard Yu (IEEE Trans. Netw. Serv. Manag., 2024)

Knowledge-Collaboration-Based Resource Allocation in 6G IoT: A Graph Attention RL Approach. - Zhongwei Huang; Fei Richard Yu; Jun Cai 002 (IEEE Internet Things J., 2024)

Joint spectrum and power allocation scheme based on value decomposition networks in D2D communication networks. - Zhongwei Huang; Tong Li; Chenghao Song; Zhenxing Li; Jie Wang; Xiao Liu; Haibo Chen; Xiaorong Zhao; Yewen Cao (EURASIP J. Wirel. Commun. Netw., 2024)

Incomplete Multimodal Alzheimer's Disease Classification via Bidirectional GAN and Spectral Graph Learning. - Bo Cheng; Zhi Yang 006; Haitao Gan; Zhongwei Huang; Ran Zhou 002; Ming Shi 001; Lei Cheng (ICIC (9), 2025)

A Multi-task Learning Framework for Carotid Plaque Area Measurement in Imbalanced Datasets. - Xinyan Fan; Zhenyu Gan; Jiyu Tao; Xinyao Cheng; Ji Wang; Ran Zhou 002; Zhongwei Huang; Haitao Gan (ICIC (17), 2025)

Localized Neighborhood Label Distribution Learning with Manifold-Regularization for Fetal Brain Age Estimation from MRI. - Yiyuan Zhou; Ran Zhou 002; Wei Xia; Yu Guo; Zhongwei Huang; Haitao Gan (ICIC (5), 2025)

Incomplete multi-view feature selection with adaptive consensus graph constraint for Parkinson's disease diagnosis. - Zhongwei Huang; Jianqiang Li 005; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Appl. Soft Comput., 2025)

Safety assessment of intelligent vehicles considering drivers' risk perception information under interval 2-tuple q-rung Orthopair Fuzzy Sets. - Danqi Wang; Wengang Deng; Lin Hu; Zhongwei Huang; Yikang Lu; Honghao Zhang (Appl. Soft Comput., 2025)

Parkinson's disease classification and prediction via adaptive sparse learning from multiple modalities. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Biomed. Signal Process. Control., 2025)

SML-Net: Semi-supervised multi-task learning network for carotid plaque segmentation and classification. - Haitao Gan; Liang Liu; Furong Wang; Zhi Yang 006; Zhongwei Huang; Ran Zhou 002 (Comput. Medical Imaging Graph., 2025)

Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease. - Zhongwei Huang; Jianqiang Li 005; Jiatao Yang; Jun Wan; Jianxia Chen; Zhi Yang 006; Ming Shi 001; Ran Zhou 002; Haitao Gan (Eng. Appl. Artif. Intell., 2025)

U-shaped disassembly line balancing problem under interval Type-2 trapezoidal fuzzy set: Modeling and solution method. - Honghao Zhang; Zhongwei Huang; Danqi Wang; Guangdong Tian; Wenjie Wang (Eng. Appl. Artif. Intell., 2025)

A Hybrid QFD-Based Human-Centric Decision Making Approach of Disassembly Schemes Under Interval 2-Tuple q-Rung Orthopair Fuzzy Sets. - Honghao Zhang; Zhongwei Huang; Guangdong Tian; Wenjie Wang; Zhiwu Li 001 (IEEE Trans Autom. Sci. Eng., 2025)