Mitigation of nonlinear distortion in DS/CDMA systems. - Gang Mei; Evaggelos Geraniotis (PIMRC, 2000)

Bird classification algorithms: theory and experimental results. - Chiman Kwan; Gang Mei; George Zhao; Zhubing Ren; Roger Xu; Vincent Stanford; Cedrick Rochet; Julian Aube; K. C. Ho 001 (ICASSP (5), 2004)

Bimodal renewal processes models of highway vehicle loads. - Gang Mei; Quan Qin; Daojin Lin (Reliab. Eng. Syst. Saf., 2004)

Real-Time Speaker Verification with a Microphone Array. - Gang Mei; Roger Xu; Debang Lao; Chiman Kwan; Vincent Stanford (PSC, 2006)

A Generic Approach to Object Matching and Tracking. - Xiaokun Li; Chiman Kwan; Gang Mei; Baoxin Li (ICIAR (1), 2006)

An Automated Acoustic System to Monitor and Classify Birds. - Chiman Kwan; K. C. Ho 001; Gang Mei; Yunhong Li; Zhubing Ren; Roger Xu; Y. Zhang; Debang Lao; M. Stevenson; Vincent Stanford; Cedrick Rochet (EURASIP J. Adv. Signal Process., 2006)

Effects of variable transformations on errors in FORM results. - Quan Qin; Daojin Lin; Gang Mei; Hao Chen (Reliab. Eng. Syst. Saf., 2006)

Speaker Identification and Speech Recognition Using Phased Arrays. - Roger Xu; Gang Mei; Zhubing Ren; Chiman Kwan; Julian Aube; Cedrick Rochet; Vincent Stanford (Ambient Intelligence in Everyday, 2006)

A Voice-Based Automated System for PTSD Screening and Monitoring. - Roger Xu; Gang Mei; Guangfan Zhang; Pan Gao; Timothy Judkins; Michael Cannizzaro; Jiang Li 001 (MMVR, 2012)

The Modified Direct Method: an Approach for Smoothing Planar and Surface Meshes - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

T-Base: A Triangle-Based Iterative Algorithm for Smoothing Quadrilateral Meshes - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

Ear-clipping Based Algorithms of Generating High-quality Polygon Triangulation - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

An Algorithm for Finding Convex Hulls of Planar Point Sets - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

A Hybrid Approach for Optimizing Planar Triangular Meshes - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

Discrete Surface Modeling Based on Google Earth: A Case Study - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2012)

The Modified Direct Method: An Iterative Approach for Smoothing Planar Meshes. - Gang Mei; John C. Tipper; Nengxiong Xu (ICCS, 2013)

TPM: Cloud-based Tele-PTSD Monitor Using Multi-Dimensional Information. - Roger Xu; Gang Mei; Guangfan Zhang; Pan Gao; Aaron Pepe; Jiang Li 001 (MMVR, 2013)

Simple and Robust Boolean Operations for Triangulated Surfaces. - Gang Mei; John C. Tipper (CoRR, 2013)

3D Geological Modeling and Visualization of Rock Masses Based on Google Earth: A Case Study - Gang Mei; John C. Tipper; Nengxiong Xu (CoRR, 2013)

A Straightforward Preprocessing Approach for Accelerating Convex Hull Computations on the GPU. - Gang Mei (CoRR, 2014)

Performance Impact of Data Layout on the GPU-accelerated IDW Interpolation. - Gang Mei; Hong Tian (CoRR, 2014)

CudaChain: A Practical GPU-accelerated 2D Convex Hull Algorithm. - Gang Mei (CoRR, 2015)

gScan: Accelerating Graham Scan on the GPU. - Gang Mei (CoRR, 2015)

Accelerating Adaptive IDW Interpolation Algorithm on a Single GPU. - Gang Mei; Liangliang Xu; Nengxiong Xu (CoRR, 2015)

A Novel Implementation of QuickHull Algorithm on the GPU. - Jiayin Zhang; Gang Mei; Nengxiong Xu; Kunyang Zhao (CoRR, 2015)

On the Accelerating of Two-dimensional Smart Laplacian Smoothing on the GPU. - Kunyang Zhao; Gang Mei; Nengxiong Xu; Jiayin Zhang (CoRR, 2015)

A Parallel Solution to Finding Nodal Neighbors in Generic Meshes. - Gang Mei; Nengxiong Xu; Hong Tian (CoRR, 2016)

Improving GPU-accelerated Adaptive IDW Interpolation Algorithm Using Fast kNN Search. - Gang Mei; Nengxiong Xu; Liangliang Xu (CoRR, 2016)

A Deep Transfer Learning Approach for Improved Post-Traumatic Stress Disorder Diagnosis. - Debrup Banerjee; Kazi Aminul Islam; Gang Mei; Lemin Xiao; Guangfan Zhang; Roger Xu; Shuiwang Ji; Jiang Li 001 (ICDM, 2017)

Resource Allocation and Energy Management Based on Particle Swarm Optimization. - Gang Mei; Mingrui Chen; Xing Zhen (PAAP, 2017)

A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map. - Hongliang Zhao; Leihua Yao; Gang Mei; Tianyu Liu; Yuansong Ning (Entropy, 2017)

Effect of Spatial Decomposition on the Efficiency of k Nearest Neighbors Search in Spatial Interpolation. - Naijie Fan; Gang Mei; Zengyu Ding; Salvatore Cuomo; Nengxiong Xu (Euro-Par Workshops, 2018)

Multi-resolution classification techniques for PTSD detection from audio interviews. - Sergey Voronin; Lemin Xiao; Gang Mei; Roger Xu (ISSPIT, 2018)

CudaPre2D: A Straightforward Preprocessing Approach for Accelerating 2D Convex Hull Computations on the GPU. - Gang Mei; Sixu Guo (PDP, 2018)

Accelerating multi-dimensional interpolation using moving least-squares on the GPU. - Zengyu Ding; Gang Mei; Salvatore Cuomo; Hong Tian; Nengxiong Xu (Concurr. Comput. Pract. Exp., 2018)

GeoMFree3D: An Under-Development Meshfree Software Package for Geomechanics. - Gang Mei; Nengxiong Xu; Liangliang Xu; Yazhe Li (CoRR, 2018)

A Simple and Generic Paradigm for Creating Complex Networks Using the Strategy of Vertex Selecting-and-Pairing. - Shuangyan Wang; Gang Mei (CoRR, 2018)

Performance Evaluation of GPU-Accelerated Spatial Interpolation Using Radial Basis Functions for Building Explicit Surfaces. - Zengyu Ding; Gang Mei; Salvatore Cuomo; Nengxiong Xu; Hong Tian (Int. J. Parallel Program., 2018)

MeshCleaner: A Generic and Straightforward Algorithm for Cleaning Finite Element Meshes. - Gang Mei; Salvatore Cuomo; Hong Tian; Nengxiong Xu; Linjun Peng (Int. J. Parallel Program., 2018)

Adaptive RBF Interpolation for Estimating Missing Values in Geographical Data. - Kaifeng Gao; Gang Mei; Salvatore Cuomo; Francesco Piccialli; Nengxiong Xu (NUMTA(1), 2019)

Efficient Method for Improving the Spreading Efficiency in Small-World Networks and Assortative Scale-Free Networks. - Shuangyan Wang; Wuyi Cheng; Gang Mei (IEEE Access, 2019)

An Efficient Spreading Strategy Considering Information Decays and Partial Interactions Between People in Scale-Free Networks. - Shuangyan Wang; Gang Mei (IEEE Access, 2019)

Efficient method for identifying influential vertices in dynamic networks using the strategy of local detection and updating. - Shuangyan Wang; Salvatore Cuomo; Gang Mei; Wuyi Cheng; Nengxiong Xu (Future Gener. Comput. Syst., 2019)

A simple and generic paradigm for creating complex networks using the strategy of vertex selecting-and-pairing. - Shuangyan Wang; Gang Mei; Salvatore Cuomo (Future Gener. Comput. Syst., 2019)

A deep transfer learning approach for improved post-traumatic stress disorder diagnosis. - Debrup Banerjee; Kazi Aminul Islam; Keyi Xue; Gang Mei; Lemin Xiao; Guangfan Zhang; Roger Xu; Cai Lei; Shuiwang Ji; Jiang Li 001 (Knowl. Inf. Syst., 2019)

Incomplete Road Information Imputation Using Parallel Interpolation to Enhance the Safety of Autonomous Driving. - Kaifeng Gao; Bowen Wang; Lei Xiao; Gang Mei (IEEE Access, 2020)

CudaCHPre2D: A straightforward preprocessing approach for accelerating 2D convex hull computations on the GPU. - Jiayu Qin; Gang Mei; Salvatore Cuomo; Sixu Guo; Yixuan Li (Concurr. Comput. Pract. Exp., 2020)

KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs. - Gang Mei; Jingzhi Tu; Lei Xiao; Francesco Piccialli (CoRR, 2020)

Julia language in machine learning: Algorithms, applications, and open issues. - Kaifeng Gao; Gang Mei; Francesco Piccialli; Salvatore Cuomo; Jingzhi Tu; Zenan Huo (Comput. Sci. Rev., 2020)

A network-based method with privacy-preserving for identifying influential providers in large healthcare service systems. - Xiaoyu Qi; Gang Mei; Salvatore Cuomo; Lei Xiao (Future Gener. Comput. Syst., 2020)

Efficient parallel algorithm for detecting influential nodes in large biological networks on the Graphics Processing Unit. - Lei Xiao; Shuangyan Wang; Gang Mei (Future Gener. Comput. Syst., 2020)

Comparison of Estimating Missing Values in IoT Time Series Data Using Different Interpolation Algorithms. - Zengyu Ding; Gang Mei; Salvatore Cuomo; Yixuan Li; Nengxiong Xu (Int. J. Parallel Program., 2020)

A Survey of Internet of Things (IoT) for Geohazard Prevention: Applications, Technologies, and Challenges. - Gang Mei; Nengxiong Xu; Jiayu Qin; Bowen Wang; Pian Qi (IEEE Internet Things J., 2020)

Designing an efficient parallel spectral clustering algorithm on multi-core processors in Julia. - Zenan Huo; Gang Mei; Giampaolo Casolla; Fabio Giampaolo (J. Parallel Distributed Comput., 2020)

Comparative investigation of parallel spatial interpolation algorithms for building large-scale digital elevation models. - Jingzhi Tu; Guoxiang Yang; Pian Qi; Zengyu Ding; Gang Mei (PeerJ Comput. Sci., 2020)

ARBF: adaptive radial basis function interpolation algorithm for irregularly scattered point sets. - Kaifeng Gao; Gang Mei; Salvatore Cuomo; Francesco Piccialli; Nengxiong Xu (Soft Comput., 2020)

Explainable Deep Learning Models on the Diagnosis of Pneumonia. - Yuting Yang 006; Gang Mei; Francesco Piccialli (CHASE, 2021)

General Paradigm of Edge-Based Internet of Things Data Mining for Geohazard Prevention. - Jiayu Qin; Gang Mei; Zhengjing Ma; Francesco Piccialli (Big Data, 2021)

An efficient graph clustering algorithm by exploiting k-core decomposition and motifs. - Gang Mei; Jingzhi Tu; Lei Xiao; Francesco Piccialli (Comput. Electr. Eng., 2021)

juSFEM: A Julia-based open-source package of parallel Smoothed Finite Element Method (S-FEM) for elastic problems. - Zenan Huo; Gang Mei; Nengxiong Xu (Comput. Math. Appl., 2021)

GeoMFree3D: A package of meshfree local Radial Point Interpolation Method (RPIM) for geomechanics. - Nengxiong Xu; Gang Mei; Jiayu Qin; Yazhe Li; Liangliang Xu (Comput. Math. Appl., 2021)

Data analysis and mining of traffic features based on taxi GPS trajectories: A case study in Beijing. - Chun Liu 004; Shuangyan Wang; Salvatore Cuomo; Gang Mei (Concurr. Comput. Pract. Exp., 2021)

A generic paradigm for mining human mobility patterns based on the GPS trajectory data using complex network analysis. - Shuangyan Wang; Gang Mei; Salvatore Cuomo (Concurr. Comput. Pract. Exp., 2021)

Deep Transfer Learning for Identifications of Slope Surface Cracks. - Yuting Yang 006; Gang Mei (CoRR, 2021)

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving. - Jingzhi Tu; Gang Mei; Francesco Piccialli (CoRR, 2021)

Data analysis and mining of the correlations between meteorological conditions and air quality: A case study in Beijing. - Xiaoyu Qi; Gang Mei; Salvatore Cuomo; Chun Liu 004; Nengxiong Xu (Internet Things, 2021)

Machine learning for landslides prevention: a survey. - Zhengjing Ma; Gang Mei; Francesco Piccialli (Neural Comput. Appl., 2021)

A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data. - Zhengjing Ma; Gang Mei; Edoardo Prezioso; Zhongjian Zhang; Nengxiong Xu (Neural Comput. Appl., 2021)

A Deep Learning Approach Using Graph Neural Networks for Anomaly Detection in Air Quality Data Considering Spatiotemporal Correlations. - Xiaoling Lin; Hongzhang Wang; Jing Guo; Gang Mei (IEEE Access, 2022)

Revealing Influence of Meteorological Conditions on Air Quality Prediction Using Explainable Deep Learning. - Yuting Yang 006; Gang Mei; Stefano Izzo (IEEE Access, 2022)

Numerical modeling of the propagation process of landslide surge using physics-informed deep learning. - Yinghan Wu; Kaixuan Shao; Francesco Piccialli; Gang Mei (Adv. Model. Simul. Eng. Sci., 2022)

A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN). - Yue Lu; Gang Mei; Francesco Piccialli (CoRR, 2022)

Strong scattering points-based joint detection and size estimation method for swarm targets. - Zhouchang Ren; Gang Mei; Yuxuan Huang; Dongxu Yang; Wei Yi (Digit. Signal Process., 2022)

An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving Vehicles. - Jingzhi Tu; Gang Mei; Francesco Piccialli (J. Grid Comput., 2022)

Deep Learning for Secure Communication in Cyber-Physical Systems. - Zhengjing Ma; Gang Mei; Francesco Piccialli (IEEE Internet Things Mag., 2022)

Neural networks generative models for time series. - Federico Gatta; Fabio Giampaolo; Edoardo Prezioso; Gang Mei; Salvatore Cuomo; Francesco Piccialli (J. King Saud Univ. Comput. Inf. Sci., 2022)

Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction. - Zhengjing Ma; Gang Mei; Salvatore Cuomo; Francesco Piccialli (J. King Saud Univ. Comput. Inf. Sci., 2022)

An improved Nyström spectral graph clustering using k-core decomposition as a sampling strategy for large networks. - Jingzhi Tu; Gang Mei; Francesco Piccialli (J. King Saud Univ. Comput. Inf. Sci., 2022)

Comparative investigation of GPU-accelerated triangle-triangle intersection algorithms for collision detection. - Lei Xiao; Gang Mei; Salvatore Cuomo; Nengxiong Xu (Multim. Tools Appl., 2022)

Classification of urban functional zones through deep learning. - Stefano Izzo; Edoardo Prezioso; Fabio Giampaolo; Valeria Mele; Vittorio Di Somma; Gang Mei (Neural Comput. Appl., 2022)

Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations. - Naijie Fan; Gang Mei; Zengyu Ding; Salvatore Cuomo; Nengxiong Xu (Int. J. Parallel Emergent Distributed Syst., 2022)

juSPH: A Julia-based open-source package of parallel Smoothed Particle Hydrodynamics (SPH) for dam break problems. - Mimi Luo; Jiayu Qin; Gang Mei (SoftwareX, 2022)

SWCGAN: Generative Adversarial Network Combining Swin Transformer and CNN for Remote Sensing Image Super-Resolution. - Jingzhi Tu; Gang Mei; Zhengjing Ma; Francesco Piccialli (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Knowledge-infused Deep Learning Enables Interpretable Landslide Forecasting. - Zhengjing Ma; Gang Mei (CoRR, 2023)

Guest Editorial: Scientific and Physics-Informed Machine Learning for Industrial Applications. - Francesco Piccialli; Fabio Giampaolo; David Camacho; Gang Mei (IEEE Trans. Ind. Informatics, 2023)

An Attention-Based Cycle-Consistent Generative Adversarial Network for IoT Data Generation and Its Application in Smart Energy Systems. - Zhengjing Ma; Gang Mei; Francesco Piccialli (IEEE Trans. Ind. Informatics, 2023)

Susceptibility Analysis of Glacier Debris Flow Based on Remote Sensing Imagery and Deep Learning: A Case Study along the G318 Linzhi Section. - Jiaqing Chen; Hong Gao; Le Han; Ruilin Yu; Gang Mei (Sensors, 2023)

A Deep Learning Approach for Long-Term Traffic Flow Prediction With Multifactor Fusion Using Spatiotemporal Graph Convolutional Network. - Xiaoyu Qi; Gang Mei; Jingzhi Tu; Ning Xi; Francesco Piccialli (IEEE Trans. Intell. Transp. Syst., 2023)

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 Data. - Jinyang Li; Mingdong Zang; Nengxiong Xu; Gang Mei; Sen Yang (Remote. Sens., 2023)

A federated learning based approach for predicting landslide displacement considering data security. - Yuting Yang; Yue Lu; Gang Mei (Future Gener. Comput. Syst., 2023)

RealModel: A system for modeling and visualizing sedimentary rocks. - Han Meng; Gang Mei; John C. Tipper (SoftwareX, 2024)

Network Resilience: Definitions, approaches, and applications. - Xiaoyu Qi; Gang Mei (J. King Saud Univ. Comput. Inf. Sci., 2024)

Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities. - Zhengjing Ma; Gang Mei; Nengxiong Xu (Artif. Intell. Rev., 2024)