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Viewing Publication 1 - 72 from 72

2025

An efficient framework for structured material particle generation in multi-context modelingZenan Huo, Xiangcou Zheng, Michel Jaboyedoff, Yury Podladchikov, Gang Mei, Xiong Tang. ewc, 41(6):4699-4726, December 2025. [doi]

RockDisc-Gen: A python software package for rock discontinuity generationYujie Su, Hong Gao, Han Meng, Jinming Wang, Gang Mei. softx, 32:102369, 2025. [doi]

2024

2023

Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi SectionJiaqing Chen, Hong Gao, Le Han, Ruilin Yu, Gang Mei. sensors, 23(14):6608, July 2023. [doi]

An Interferometric-Synthetic-Aperture-Radar-Based Method for Predicting Long-Term Land Subsidence in Goafs through the Concatenation of Multiple Sources of Short-Term Monitoring DataJinyang Li, Mingdong Zang, Nengxiong Xu, Gang Mei, Sen Yang. remotesensing, 15(17):4203, September 2023. [doi]

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy SystemsZhengjing Ma, Gang Mei, Francesco Piccialli. tii, 19(4):6170-6181, April 2023. [doi]

Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial ApplicationsFrancesco Piccialli, Fabio Giampaolo, David Camacho, Gang Mei. tii, 19(2):2161-2164, 2023. [doi]

A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional NetworkXiaoyu Qi, Gang Mei, Jingzhi Tu, Ning Xi, Francesco Piccialli. tits, 24(8):8687-8700, August 2023. [doi]

A federated learning based approach for predicting landslide displacement considering data securityYuting Yang, Yue Lu, Gang Mei. fgcs, 149:184-199, December 2023. [doi]

2022

kNN search in spatial interpolationsNaijie Fan, Gang Mei, Zengyu Ding, Salvatore Cuomo, Nengxiong Xu. paapp, 37(1):103-121, 2022. [doi]

Neural networks generative models for time seriesFederico Gatta, Fabio Giampaolo, Edoardo Prezioso, Gang Mei, Salvatore Cuomo, Francesco Piccialli. jksucis, 34(Issue):7920-7939, 2022. [doi]

Classification of urban functional zones through deep learningStefano Izzo, Edoardo Prezioso, Fabio Giampaolo, Valeria Mele, Vittorio Di Somma, Gang Mei. nca, 34(9):6973-6990, 2022. [doi]

A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal CorrelationsXiaoling Lin, Hongzhang Wang, Jing Guo, Gang Mei. access, 10:94074-94088, 2022. [doi]

juSPH: A Julia-based open-source package of parallel Smoothed Particle Hydrodynamics (SPH) for dam break problemsMimi Luo, Jiayu Qin, Gang Mei. softx, 19:101151, 2022. [doi]

Deep Learning for Secure Communication in Cyber-Physical SystemsZhengjing Ma, Gang Mei, Francesco Piccialli. iotm, 5(2):63-68, 2022. [doi]

Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality predictionZhengjing Ma, Gang Mei, Salvatore Cuomo, Francesco Piccialli. jksucis, 34(Issue):3433-3447, 2022. [doi]

Strong scattering points-based joint detection and size estimation method for swarm targetsZhouchang Ren, Gang Mei, Yuxuan Huang, Dongxu Yang, Wei Yi. dsp, 128:103630, 2022. [doi]

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving VehiclesJingzhi Tu, Gang Mei, Francesco Piccialli. grid, 20(3):21, 2022. [doi]

k-core decomposition as a sampling strategy for large networksJingzhi Tu, Gang Mei, Francesco Piccialli. jksucis, 34(Issue):3673-3684, 2022. [doi]

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-ResolutionJingzhi Tu, Gang Mei, Zhengjing Ma, Francesco Piccialli. staeors, 15:5662-5673, 2022. [doi]

Numerical modeling of the propagation process of landslide surge using physics-informed deep learningYinghan Wu, Kaixuan Shao, Francesco Piccialli, Gang Mei. amses, 9(1):14, 2022. [doi]

Comparative investigation of GPU-accelerated triangle-triangle intersection algorithms for collision detectionLei Xiao, Gang Mei, Salvatore Cuomo, Nengxiong Xu. mta, 81(3):3165-3180, 2022. [doi]

Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep LearningYuting Yang, Gang Mei, Stefano Izzo. access, 10:50755-50773, 2022. [doi]

2021

juSFEM: A Julia-based open-source package of parallel Smoothed Finite Element Method (S-FEM) for elastic problemsZenan Huo, Gang Mei, Nengxiong Xu. cma, 81:459-477, 2021. [doi]

Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in BeijingChun Liu, Shuangyan Wang, Salvatore Cuomo, Gang Mei. concurrency, 33(3), 2021. [doi]

A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement dataZhengjing Ma, Gang Mei, Edoardo Prezioso, Zhongjian Zhang, Nengxiong Xu. nca, 33(21):14441-14457, 2021. [doi]

Machine learning for landslides prevention: a surveyZhengjing Ma, Gang Mei, Francesco Piccialli. nca, 33(17):10881-10907, 2021. [doi]

k-core decomposition and motifsGang Mei, Jingzhi Tu, Lei Xiao, Francesco Piccialli. cee, 96(Part):107564, 2021. [doi]

Data analysis and mining of the correlations between meteorological conditions and air quality: A case study in BeijingXiaoyu Qi, Gang Mei, Salvatore Cuomo, Chun Liu 0004, Nengxiong Xu. iot, 14:100127, 2021. [doi]

General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard PreventionJiayu Qin, Gang Mei, Zhengjing Ma, Francesco Piccialli. bigdata, 9(5):373-389, 2021. [doi]

A generic paradigm for mining human mobility patterns based on the GPS trajectory data using complex network analysisShuangyan Wang, Gang Mei, Salvatore Cuomo. concurrency, 33(4), 2021. [doi]

GeoMFree3D: A package of meshfree local Radial Point Interpolation Method (RPIM) for geomechanicsNengxiong Xu, Gang Mei, Jiayu Qin, Yazhe Li, Liangliang Xu. cma, 81:113-132, 2021. [doi]

Explainable Deep Learning Models on the Diagnosis of PneumoniaYuting Yang, Gang Mei, Francesco Piccialli. chase 2021: 134-138 [doi]

2020

Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation AlgorithmsZengyu Ding, Gang Mei, Salvatore Cuomo, Yixuan Li, Nengxiong Xu. ijpp, 48(3):534-548, 2020. [doi]

Incomplete Road Information Imputation Using Parallel Interpolation to Enhance the Safety of Autonomous DrivingKaifeng Gao, Bowen Wang, Lei Xiao, Gang Mei. access, 8:25420-25430, 2020. [doi]

ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point setsKaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu. soco, 24(23):17693-17704, 2020. [doi]

Julia language in machine learning: Algorithms, applications, and open issuesKaifeng Gao, Gang Mei, Francesco Piccialli, Salvatore Cuomo, Jingzhi Tu, Zenan Huo. csr, 37:100254, 2020. [doi]

Designing an efficient parallel spectral clustering algorithm on multi-core processors in JuliaZenan Huo, Gang Mei, Giampaolo Casolla, Fabio Giampaolo. jpdc, 138:211-221, 2020. [doi]

A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and ChallengesGang Mei, Nengxiong Xu, Jiayu Qin, Bowen Wang, Pian Qi. iotj, 7(5):4371-4386, 2020. [doi]

A network-based method with privacy-preserving for identifying influential providers in large healthcare service systemsXiaoyu Qi, Gang Mei, Salvatore Cuomo, Lei Xiao. fgcs, 109:293-305, 2020. [doi]

CudaCHPre2D: A straightforward preprocessing approach for accelerating 2D convex hull computations on the GPUJiayu Qin, Gang Mei, Salvatore Cuomo, Sixu Guo, Yixuan Li. concurrency, 32(10), 2020. [doi]

Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation modelsJingzhi Tu, Guoxiang Yang, Pian Qi, Zengyu Ding, Gang Mei. peerj-cs, 6, 2020. [doi]

Efficient parallel algorithm for detecting influential nodes in large biological networks on the Graphics Processing UnitLei Xiao, Shuangyan Wang, Gang Mei. fgcs, 106:1-13, 2020. [doi]

2019

A deep transfer learning approach for improved post-traumatic stress disorder diagnosisDebrup Banerjee, Kazi Aminul Islam, Keyi Xue, Gang Mei, Lemin Xiao, Guangfan Zhang, Roger Xu, Cai Lei, Shuiwang Ji, Jiang Li. kais, 60(3):1693-1724, 2019. [doi]

Adaptive RBF Interpolation for Estimating Missing Values in Geographical DataKaifeng Gao, Gang Mei, Salvatore Cuomo, Francesco Piccialli, Nengxiong Xu. numta 2020: 122-130 [doi]

Efficient Method for Improving the Spreading Efficiency in Small-World Networks and Assortative Scale-Free NetworksShuangyan Wang, Wuyi Cheng, Gang Mei. access, 7:46122-46134, 2019. [doi]

An Efficient Spreading Strategy Considering Information Decays and Partial Interactions Between People in Scale-Free NetworksShuangyan Wang, Gang Mei. access, 7:95878-95891, 2019. [doi]

A simple and generic paradigm for creating complex networks using the strategy of vertex selecting-and-pairingShuangyan Wang, Gang Mei, Salvatore Cuomo. fgcs, 100:994-1004, 2019. [doi]

Efficient method for identifying influential vertices in dynamic networks using the strategy of local detection and updatingShuangyan Wang, Salvatore Cuomo, Gang Mei, Wuyi Cheng, Nengxiong Xu. fgcs, 91:10-24, 2019. [doi]

2018

Performance Evaluation of GPU-Accelerated Spatial Interpolation Using Radial Basis Functions for Building Explicit SurfacesZengyu Ding, Gang Mei, Salvatore Cuomo, Nengxiong Xu, Hong Tian. ijpp, 46(5):963-991, 2018. [doi]

Accelerating multi-dimensional interpolation using moving least-squares on the GPUZengyu Ding, Gang Mei, Salvatore Cuomo, Hong Tian, Nengxiong Xu. concurrency, 30(24), 2018. [doi]

Effect of Spatial Decomposition on the Efficiency of k Nearest Neighbors Search in Spatial InterpolationNaijie Fan, Gang Mei, Zengyu Ding, Salvatore Cuomo, Nengxiong Xu. europar 2019: 667-679 [doi]

CudaPre2D: A Straightforward Preprocessing Approach for Accelerating 2D Convex Hull Computations on the GPUGang Mei, Sixu Guo. pdp 2018: 726-732 [doi]

MeshCleaner: A Generic and Straightforward Algorithm for Cleaning Finite Element MeshesGang Mei, Salvatore Cuomo, Hong Tian, Nengxiong Xu, Linjun Peng. ijpp, 46(3):565-583, 2018. [doi]

Multi-resolution classification techniques for PTSD detection from audio interviewsSergey Voronin, Lemin Xiao, Gang Mei, Roger Xu. isspit 2018: 157-161 [doi]

2017

2013

The Modified Direct Method: An Iterative Approach for Smoothing Planar MeshesGang Mei, John C. Tipper, Nengxiong Xu. iccs 2013: 2436-2439 [doi]

TPM: Cloud-based Tele-PTSD Monitor Using Multi-Dimensional InformationRoger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Aaron Pepe, Jiang Li. mmvr 2013: 471-477 [doi]

2012

A Voice-Based Automated System for PTSD Screening and MonitoringRoger Xu, Gang Mei, Guangfan Zhang, Pan Gao, Timothy Judkins, Michael Cannizzaro, Jiang Li. mmvr 2012: 552-558 [doi]

2006

2004

Bird classification algorithms: theory and experimental resultsChiman Kwan, Gang Mei, George Zhao, Zhubing Ren, Roger Xu, Vincent Stanford, Cedric Rochet, Julian Aube, K. C. Ho. icassp 2004: 289-292 [doi]

Bimodal renewal processes models of highway vehicle loadsGang Mei, Quan Qin, Daojin Lin. ress, 83(3):333-339, 2004. [doi]

2000

Mitigation of nonlinear distortion in DS/CDMA systemsGang Mei, Evaggelos Geraniotis. pimrc 2000: 266-270 [doi]

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