Integrating R Models with Web Technologies. - Mingrui Zhang; Scott Olson; Joan M. Francioni; Tim Gegg-Harrison; Nan Meng; Zhifu Sun; Ping Yang (HEALTHINF, 2009)

Enhancing Sensor Network Security by Reducing Radio-Wave Leakage. - Nan Meng; Jiahong Wang; Eiichiro Kodama; Toyoo Takata (BWCCA, 2011)

Reducing data leakage possibility resulted from eavesdropping in wireless sensor network. - Nan Meng; Jiahong Wang; Eiichiro Kodama; Toyoo Takata (Int. J. Space Based Situated Comput., 2013)

Identify Critical Genes in Development with Consistent H3K4me2 Patterns across Multiple Tissues. - Nan Meng; Raghu Machiraju; Kun Huang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2015)

Sparse Hierarchical Nonparametric Bayesian learning for light field representation and denoising. - Xing Sun 001; Nan Meng; Zhimin Xu; Edmund Y. Lam; Hayden Kwok-Hay So (IJCNN, 2016)

Data-driven light field depth estimation using deep Convolutional Neural Networks. - Xing Sun 001; Zhimin Xu; Nan Meng; Edmund Y. Lam; Hayden Kwok-Hay So (IJCNN, 2016)

Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types. - Nan Meng; Raghu Machiraju; Kun Huang 001 (BMC Bioinform., 2016)

From Bitcoin to cybersecurity: A comparative study of blockchain application and security issues. - Fangfang Dai; Yue Shi; Nan Meng; Liang Wei; Zhiguo Ye (ICSAI, 2017)

Computational single-cell classification using deep learning on bright-field and phase images. - Nan Meng; Hayden Kwok-Hay So; Edmund Y. Lam (MVA, 2017)

Human somatic label-free bright-field cell images. - Nan Meng; Kevin K. Tsia; Hayden Kwok-Hay So (IEEE DataPort, 2018)

Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks. - Nan Meng; Tianjiao Zeng; Edmund Y. Lam (ICIP, 2019)

A Prior Learning Network for Joint Image and Sensitivity Estimation in Parallel MR Imaging. - Nan Meng; Yan Yang 007; Zongben Xu; Jian Sun 009 (MICCAI (4), 2019)

Computational Light Field Generation Using Deep Nonparametric Bayesian Learning. - Nan Meng; Xing Sun 001; Hayden Kwok-Hay So; Edmund Y. Lam (IEEE Access, 2019)

Large-Scale Multi-Class Image-Based Cell Classification With Deep Learning. - Nan Meng; Edmund Y. Lam; Kevin K. Tsia; Hayden Kwok-Hay So (IEEE J. Biomed. Health Informatics, 2019)

High-Order Residual Network for Light Field Super-Resolution. - Nan Meng; Xiaofei Wu; Jianzhuang Liu; Edmund Y. Lam (AAAI, 2020)

LightGAN: A Deep Generative Model for Light Field Reconstruction. - Nan Meng; Zhou Ge; Tianjiao Zeng; Edmund Y. Lam (IEEE Access, 2020)

Light Field View Synthesis via Aperture Flow and Propagation Confidence Map. - Nan Meng; Kai Li; Jianzhuang Liu; Edmund Y. Lam (CoRR, 2020)

Newton-Step-Based Hard Thresholding Algorithms for Sparse Signal Recovery. - Nan Meng; Yun-Bin Zhao (IEEE Trans. Signal Process., 2020)

High-Dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction. - Nan Meng; Hayden K. H. So; Xing Sun 001; Edmund Y. Lam (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Contribution of Lake-Dune Patterning to the Dune Height of Mega-Dunes in the Badain Jaran Sand Sea, Northern China. - Zhenmin Niu; Nai-Ang Wang; Nan Meng; Jiang Liu; Xueran Liang; Hongyi Cheng; Penghui Wen; Xinran Yu; Wenjia Zhang; Xiaoyan Liang (Remote. Sens., 2021)

Detecting the Turning Points of Grassland Autumn Phenology on the Qinghai-Tibetan Plateau: Spatial Heterogeneity and Controls. - Yanzheng Yang; Ning Qi; Jun Zhao; Nan Meng; Zijian Lu; Xuezhi Wang 004; Le Kang; Boheng Wang; Ruonan Li; Jinfeng Ma; Hua Zheng (Remote. Sens., 2021)

Light Field View Synthesis via Aperture Disparity and Warping Confidence Map. - Nan Meng; Kai Li; Jianzhuang Liu; Edmund Y. Lam (IEEE Trans. Image Process., 2021)

Partial gradient optimal thresholding algorithms for a class of sparse optimization problems. - Nan Meng; Yun-Bin Zhao; Michal Kocvara; Zhong-Feng Sun (J. Glob. Optim., 2022)

PCT-GAN: A Real CT Image Super-Resolution Model for Trabecular Bone Restoration. - Moxin Zhao; Nan Meng; Jason Pui Yin Cheung; Teng Zhang (ISBI, 2023)

Heavy-ball-based hard thresholding algorithms for sparse signal recovery. - Zhong-Feng Sun; Jin-Chuan Zhou; Yun-Bin Zhao; Nan Meng (J. Comput. Appl. Math., 2023)

LRT: An Efficient Low-Light Restoration Transformer for Dark Light Field Images. - Shansi Zhang; Nan Meng; Edmund Y. Lam (IEEE Trans. Image Process., 2023)

EUFormer: Learning Driven 3D Spine Deformity Assessment with Orthogonal Optical Images. - Nan Meng; Jason Pui Yin Cheung; Tao Huang; Moxin Zhao; Yue Zhang; Chenxi Yu; Chang Shi; Teng Zhang (EMBC, 2024)

RASpine: Regional Attention Lateral Spinal Segmentation based on Anatomical Prior Knowledge. - Yue Zhang; Nan Meng; Moxin Zhao; Teng Zhang (EMBC, 2024)

Analysis of Spatiotemporal Dynamics of Land Desertification in Qilian Mountain National Park Based on Google Earth Engine. - Xiaowen Chen; Naiang Wang; Simin Peng; Nan Meng; Haoyun Lv (ISPRS Int. J. Geo Inf., 2024)

Unsupervised Light Field Depth Estimation via Multi-View Feature Matching With Occlusion Prediction. - Shansi Zhang; Nan Meng; Edmund Y. Lam (IEEE Trans. Circuits Syst. Video Technol., 2024)

Predictive value of metabolic parameters and apparent diffusion coefficient derived from 18F-FDG PET/MR in patients with non-small cell lung cancer. - Han Jiang; Ziqiang Li; Nan Meng; Yu Luo; Pengyang Feng; Fangfang Fu; Yang Yang; Jianmin Yuan; Zhe Wang; Meiyun Wang (BMC Medical Imaging, 2024)

MobileSpine: A Mobile-based 3D Reconstruction System for Remote Scoliosis Assessment. - Tao Huang; Xihe Kuang; Nan Meng; Teng Zhang (CIVEMSA, 2025)

Automatic Pedicle Screw Placement Based On Simulated Annealing Algorithm. - Nan Meng; Weichen Qi; Teng Zhang (CIVEMSA, 2025)

Optimizing the temporal adjacency matrix for 3D human pose estimation through clustering. - Yingfeng Wang; Muyu Li; Nan Meng; Min Xu (Neurocomputing, 2025)

A Dual-Feature Extractor Framework for Accurate Back Depth and Spine Morphology Estimation from Monocular RGB Images. - Yuxin Wei; Yue Zhang; Moxin Zhao; Chang Shi; Jason Pui Yin Cheung; Teng Zhang; Nan Meng (CoRR, 2025)

CFARMS: A clustered federated learning framework with recursive model selection. - Ebenezer Nanor; Bernard Mawuli Cobbinah; Qinli Yang; Junming Shao; Nan Meng; Jason Cheung; Philip K. Adjei; Leo Wang (Expert Syst. Appl., 2026)