Farmland loss of guangzhou form 1998 to 2003 using landsat TM/ETM data and its economic implications. - Fenglei Fan; Yunpeng Wang (IGARSS, 2005)

Urban-used land change (1998-2003) and its spatial distribution of Shenzhen, China: detected by landsat TM/EMT data. - Yunpeng Wang; Fenglei Fan; Jinqu Zhang; Shihua Tang (IGARSS, 2005)

Evaluating the Temporal and Spatial Urban Expansion Patterns of Guangzhou from 1979 to 2003 by Remote Sensing and GIS Methods. - Fenglei Fan; Yunpeng Wang; Maohui Qiu; Zhishi Wang (Int. J. Geogr. Inf. Sci., 2009)

Extraction and Analysis of Impervious Surfaces Based on a Spectral Un-Mixing Method Using Pearl River Delta of China Landsat TM/ETM+ Imagery from 1998 to 2008. - Yingbin Deng; Fenglei Fan; Renrong Chen (Sensors, 2012)

Estimating Composite Curve Number Using an Improved SCS-CN Method with Remotely Sensed Variables in Guangzhou, China. - Fenglei Fan; Yingbin Deng; Xuefei Hu; Qihao Weng (Remote. Sens., 2013)

Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters. - Fenglei Fan; Yingbin Deng (Int. J. Appl. Earth Obs. Geoinformation, 2014)

Corrigendum to "Enhancing endmember selection in multiple endmember spectral mixture analysis (MESMA) for urban impervious surface area mapping using spectral angle and spectral distance parameters" [Int. J. Appl. Earth Observ. Geoinf. 33(2014) 290-301]. - Fenglei Fan; Yingbin Deng (Int. J. Appl. Earth Obs. Geoinformation, 2015)

A New Type of Neurons for Machine Learning. - Fenglei Fan; Wenxiang Cong; Ge Wang 001 (CoRR, 2017)

General Backpropagation Algorithm for Training Second-order Neural Networks. - Fenglei Fan; Wenxiang Cong; Ge Wang 001 (CoRR, 2017)

Learning From Pseudo-Randomness With an Artificial Neural Network-Does God Play Pseudo-Dice? - Fenglei Fan; Ge Wang 001 (IEEE Access, 2018)

Shamap: Shape-based Manifold Learning. - Fenglei Fan; Hongming Shan; Ge Wang 001 (CoRR, 2018)

Fuzzy Logic Interpretation of Artificial Neural Networks. - Fenglei Fan; Ge Wang 001 (CoRR, 2018)

Universal Approximation with Quadratic Deep Networks. - Fenglei Fan; Ge Wang 001 (CoRR, 2018)

Universal Approximation by a Slim Network with Sparse Shortcut Connections. - Fenglei Fan; Dayang Wang; Ge Wang 001 (CoRR, 2018)

Exploration of spatial and temporal characteristics of PM2.5 concentration in Guangzhou, China using wavelet analysis and modified land use regression model. - Fenglei Fan; Runping Liu (Geo spatial Inf. Sci., 2018)

Quadratic Autoencoder for Low-Dose CT Denoising. - Fenglei Fan; Hongming Shan; Ge Wang 001 (CoRR, 2019)

A novel framework for the NMF methods with experiments to unmixing signals and feature representation. - Yueyang Teng; Yudong Yao; Shouliang Qi; Chen Li 022; Lisheng Xu; Wei Qian 001; Fenglei Fan; Ge Wang 001 (J. Comput. Appl. Math., 2019)

Graph Regularized Sparse Autoencoders with Nonnegativity Constraints. - Yueyang Teng; Yichao Liu; Jinliang Yang; Chen Li 022; Shouliang Qi; Yan Kang; Fenglei Fan; Ge Wang 001 (Neural Process. Lett., 2019)

A Hierarchical Extraction Method of Impervious Surface Based on NDVI Thresholding Integrated With Multispectral and High-Resolution Remote Sensing Imageries. - Shanshan Feng 002; Fenglei Fan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Deep learning-based model observers that replicate human observers for PET imaging. - Fenglei Fan; Sangtae Ahn; Bruno De Man; Kristen A. Wangerin; Scott D. Wollenweber; Craig K. Abbey; Paul E. Kinahan (Image Perception, Observer Performance, and Technology Assessment, 2020)

On Interpretability of Artificial Neural Networks. - Fenglei Fan; Jinjun Xiong; Ge Wang 001 (CoRR, 2020)

Duality of Width and Depth of Neural Networks. - Fenglei Fan; Ge Wang 001 (CoRR, 2020)

Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction. - Chuang Niu; Wenxiang Cong; Fenglei Fan; Hongming Shan; Mengzhou Li; Jimin Liang; Ge Wang 001 (CoRR, 2020)

Fuzzy logic interpretation of quadratic networks. - Fenglei Fan; Ge Wang 001 (Neurocomputing, 2020)

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization. - Yueyang Teng; Shouliang Qi; Fangfang Han; Yudong Yao; Fenglei Fan; Qing Lyu 003; Ge Wang 001 (Neurocomputing, 2020)

Universal approximation with quadratic deep networks. - Fenglei Fan; Jinjun Xiong; Ge Wang 001 (Neural Networks, 2020)

Soft Autoencoder and Its Wavelet Adaptation Interpretation. - Fenglei Fan; Mengzhou Li; Yueyang Teng; Ge Wang 001 (IEEE Trans. Computational Imaging, 2020)

Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. - Fenglei Fan; Hongming Shan; Mannudeep K. Kalra; Ramandeep Singh; Guhan Qian; Matthew Getzin; Yueyang Teng; Juergen Hahn; Ge Wang 001 (IEEE Trans. Medical Imaging, 2020)

Neural Network Gaussian Processes by Increasing Depth. - Shao-Qun Zhang; Feng-Lei Fan (CoRR, 2021)

Impervious surface extraction based on different methods from multiple spatial resolution images: a comprehensive comparison. - Shanshan Feng 002; Fenglei Fan (Int. J. Digit. Earth, 2021)

Temporal and Spatial Variation of Anthropogenic Heat in the Central Urban Area: A Case Study of Guangzhou, China. - Ting Peng; Caige Sun; Shanshan Feng 002; Yongdong Zhang 003; Fenglei Fan (ISPRS Int. J. Geo Inf., 2021)

Analysis of the Response of Long-Term Vegetation Dynamics to Climate Variability Using the Pruned Exact Linear Time (PELT) Method and Disturbance Lag Model (DLM) Based on Remote Sensing Data: A Case Study in Guangdong Province (China). - Sai Wang; Fenglei Fan (Remote. Sens., 2021)

Estimating the Characteristic Spatiotemporal Variation in Habitat Quality Using the InVEST Model - A Case Study from Guangdong-Hong Kong-Macao Greater Bay Area. - Linlin Wu; Caige Sun; Fenglei Fan (Remote. Sens., 2021)

Analyzing the Effect of the Spectral Interference of Mixed Pixels Using Hyperspectral Imagery. - Shanshan Feng 002; Fenglei Fan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Manifoldron: Direct Space Partition via Manifold Discovery. - Dayang Wang; Feng-Lei Fan; Bojian Hou; Hao Zhang 050; Rongjie Lai; Hengyong Yu; Fei Wang 001 (CoRR, 2022)

CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising. - Dayang Wang; Fenglei Fan; Zhan Wu; Rui Liu 014; Fei Wang 001; Hengyong Yu (CoRR, 2022)

Heterogeneous Autoencoder Empowered by Quadratic Neurons. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Jianwei Ma; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (CoRR, 2022)

Developing an Enhanced Ecological Evaluation Index (EEEI) Based on Remotely Sensed Data and Assessing Spatiotemporal Ecological Quality in Guangdong-Hong Kong-Macau Greater Bay Area, China. - Shanshan Feng 002; Fenglei Fan (Remote. Sens., 2022)

Landscape Ecological Risk Assessment and Impact Factor Analysis of the Qinghai-Tibetan Plateau. - Sishi Wang; Xin Tan; Fenglei Fan (Remote. Sens., 2022)

On a Sparse Shortcut Topology of Artificial Neural Networks. - Feng-Lei Fan; Dayang Wang; Hengtao Guo; Qikui Zhu; Pingkun Yan; Ge Wang 001; Hengyong Yu (IEEE Trans. Artif. Intell., 2022)

ACTIVE: A Deep Model for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Jinghua Zhang; Md Mamunur Rahaman; Hongzan Sun; Tieyong Zeng; Marcin Grzegorzek; Feng-Lei Fan; Chen Li 022 (CoRR, 2023)

Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks. - Feng-Lei Fan; Yingxin Li; Hanchuan Peng; Tieyong Zeng; Fei Wang 001 (CoRR, 2023)

One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks. - Feng-Lei Fan; Hang-Cheng Dong; Zhongming Wu; Lecheng Ruan; Tieyong Zeng; Yiming Cui 002; Jing-Xiao Liao (CoRR, 2023)

Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks. - Hui Zhang; Xuexin An; Qiang He 002; Yudong Yao; Fenglei Fan; Yueyang Teng (CoRR, 2023)

Rethink Depth Separation with Intra-layer Links. - Feng-Lei Fan; Zeyu Li; Huan Xiong; Tieyong Zeng (CoRR, 2023)

Cloud-RAIN: Point Cloud Analysis with Reflectional Invariance. - Yiming Cui 002; Lecheng Ruan; Hang-Cheng Dong; Qiang Li; Zhongming Wu; Tieyong Zeng; Feng-Lei Fan (CoRR, 2023)

Deep ReLU Networks Have Surprisingly Simple Polytopes. - Feng-Lei Fan; Wei Huang 002; Xiangru Zhong; Lecheng Ruan; Tieyong Zeng; Huan Xiong; Fei Wang 001 (CoRR, 2023)

VDIP-TGV: Blind Image Deconvolution via Variational Deep Image Prior Empowered by Total Generalized Variation. - Tingting Wu 001; Zhiyan Du; Zhi Li 080; Feng-Lei Fan; Tieyong Zeng (CoRR, 2023)

Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge. - Xiaoge Zhang 001; Xiao-Lin Wang; Fenglei Fan; Yiu-Ming Cheung; Indranil Bose (CoRR, 2023)

Quasi-Equivalence between Width and Depth of Neural Networks. - Fenglei Fan; Rongjie Lai; Ge Wang 001 (J. Mach. Learn. Res., 2023)

Attention-Embedded Quadratic Network (Qttention) for Effective and Interpretable Bearing Fault Diagnosis. - Jing-Xiao Liao; Hangcheng Dong; Zhi-Qi Sun; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (IEEE Trans. Instrum. Meas., 2023)

Noise Suppression With Similarity-Based Self-Supervised Deep Learning. - Chuang Niu; Mengzhou Li; Fenglei Fan; Weiwen Wu; Xiaodong Guo; Qing Lyu 003; Ge Wang 001 (IEEE Trans. Medical Imaging, 2023)

Thangka Hyperspectral Image Super-Resolution Based on a Spatial-Spectral Integration Network. - Sai Wang; Fenglei Fan (Remote. Sens., 2023)

ACTIVE: A Deep Network for Sperm and Impurity Detection in Microscopic Videos. - Ao Chen 001; Feng-Lei Fan; Jinghua Zhang; Md Mamunur Rahaman; Rui Li; Tao Jiang 014; Tieyong Zeng; Marcin Grzegorzek; Chen Li 022 (BIBM, 2024)

Grounding and Enhancing Grid-based Models for Neural Fields. - Zelin Zhao; Fenglei Fan; Wenlong Liao; Junchi Yan (CVPR, 2024)

No One-Size-Fits-All Neurons: Task-based Neurons for Artificial Neural Networks. - Feng-Lei Fan; Meng Wang; Hang-Cheng Dong; Jianwei Ma; Tieyong Zeng (CoRR, 2024)

Hyper-Compression: Model Compression via Hyperfunction. - Fenglei Fan; Juntong Fan; Dayang Wang; Jingbo Zhang; Zelin Dong; Shijun Zhang; Ge Wang 001; Tieyong Zeng (CoRR, 2024)

Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning. - Yanrui Du; Sendong Zhao; Jiawei Cao; Ming Ma; Danyang Zhao; Fenglei Fan; Ting Liu 001; Bing Qin 001 (CoRR, 2024)

Retinal Vessel Segmentation via Neuron Programming. - Tingting Wu 001; Ruyi Min; Peixuan Song; Hengtao Guo; Tieyong Zeng; Feng-Lei Fan (CoRR, 2024)

STINet: Vegetation Changes Reconstruction Through a Transformer-Based Spatiotemporal Fusion Approach in Remote Sensing. - Sai Wang; Fenglei Fan (IEEE Trans. Geosci. Remote. Sens., 2024)

BearingPGA-Net: A Lightweight and Deployable Bearing Fault Diagnosis Network via Decoupled Knowledge Distillation and FPGA Acceleration. - Jing-Xiao Liao; Sheng-Lai Wei; Chen-Long Xie; Tieyong Zeng; Jinwei Sun; Shiping Zhang; Xiaoge Zhang 001; Feng-Lei Fan (IEEE Trans. Instrum. Meas., 2024)

Neural Network Gaussian Processes by Increasing Depth. - Shao-Qun Zhang; Fei Wang 001; Feng-Lei Fan (IEEE Trans. Neural Networks Learn. Syst., 2024)

Quadratic Neuron-Empowered Heterogeneous Autoencoder for Unsupervised Anomaly Detection. - Jing-Xiao Liao; Bojian Hou; Hang-Cheng Dong; Hao Zhang 050; Xiaoge Zhang 001; Jinwei Sun; Shiping Zhang; Feng-Lei Fan (IEEE Trans. Artif. Intell., 2024)

Retinex Image Enhancement Based on Sequential Decomposition With a Plug-and-Play Framework. - Tingting Wu 001; Wenna Wu; Ying Yang 019; Feng-Lei Fan; Tieyong Zeng (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spatial-Frequency Discriminability for Revealing Adversarial Perturbations. - Chao Wang 028; Shuren Qi; Zhiqiu Huang; Yushu Zhang 001; Rushi Lan; Xiaochun Cao; Feng-Lei Fan (IEEE Trans. Circuits Syst. Video Technol., 2024)

Rethink Deep Learning with Invariance in Data Representation. - Shuren Qi; Fei Wang 001; Tieyong Zeng; Fenglei Fan (WWW (Companion Volume), 2025)

Quadratic graph attention network (Q-GAT) for robust construction of gene regulatory network. - Hui Zhang; Xuexin An; Qiang He 002; Yudong Yao; Eugene Yu-Dong Zhang; Feng-Lei Fan; Yueyang Teng (Neurocomputing, 2025)

Don't fear peculiar activation functions: EUAF and beyond. - Qianchao Wang; Shijun Zhang; Dong Zeng; Zhaoheng Xie; Hengtao Guo; Tieyong Zeng; Feng-Lei Fan (Neural Networks, 2025)

On Expressivity and Trainability of Quadratic Networks. - Feng-Lei Fan; Mengzhou Li; Fei Wang 001; Rongjie Lai; Ge Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EEG-DG: A Multi-Source Domain Generalization Framework for Motor Imagery EEG Classification. - Xiao-Cong Zhong; Qisong Wang; Dan Liu 004; Zhihuang Chen; Jing-Xiao Liao; Jinwei Sun; Yu-Dong Zhang 001; Feng-Lei Fan (IEEE J. Biomed. Health Informatics, 2025)

UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation. - Zhongzhou Zhang; Yingyu Chen; Hui Yu; Zhiwen Wang 002; Shanshan Wang 008; Fenglei Fan; Hongming Shan; Yi Zhang 018 (IEEE Trans. Medical Imaging, 2025)

NeuronSeek: On Stability and Expressivity of Task-driven Neurons. - Hanyu Pei; Jing-Xiao Liao; Qibin Zhao; Ting Gao; Shijun Zhang; Xiaoge Zhang 001; Feng-Lei Fan (CoRR, 2025)

Compress Any Segment Anything Model (SAM). - Juntong Fan; Zhiwei Hao; Jianqiang Shen; Shang-Ling Jui; Yi Zhang 018; Jing-Xiao Liao; Feng-Lei Fan (CoRR, 2025)

COLI: A Hierarchical Efficient Compressor for Large Images. - Haoran Wang; Hanyu Pei; Yang Lyu; Kai Zhang; Li Li; Feng-Lei Fan (CoRR, 2025)

Manifoldron: Direct Space Partition via Manifold Discovery. - Dayang Wang; Feng-Lei Fan; Bojian Hou; Hao Zhang 050; Zhen Jia; Boce Zhang; Rongjie Lai; Hengyong Yu; Fei Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)