Performance of associative memory using partially-connected networks. - Min Xia 002; Yang Tang; Jian-An Fang (ISKE, 2008)

Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays. - Yang Tang; Jian-An Fang; Min Xia 002; Dongmei Yu (Neurocomputing, 2009)

Robust sequence memory in sparsely-connected networks with controllable steady-state period. - Min Xia 002; Jian-An Fang; Feng Pan; Enjian Bai (Neurocomputing, 2009)

Adaptive neural network model for time-series forecasting. - Wai Keung Wong; Min Xia 002; W. C. Chu (Eur. J. Oper. Res., 2010)

Dynamic depression control of chaotic neural networks for associative memory. - Min Xia 002; Jian-An Fang; Yang Tang; Zhijie Wang 001 (Neurocomputing, 2010)

A heuristic time-invariant model for fuzzy time series forecasting. - Enjian Bai; Wai Keung Wong; W. C. Chu; Min Xia 002; Feng Pan (Expert Syst. Appl., 2011)

Temporal association based on dynamic depression synapses and chaotic neurons. - Min Xia 002; Zhijie Wang 001; Jian-An Fang (Neurocomputing, 2011)

Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity. - Min Xia 002; Yang Tang; Jian-An Fang; Feng Pan (Neural Comput. Appl., 2011)

A Neural Network for Episodic Memory with Pattern Interrelation. - Min Xia 002; Liguo Weng; Xiaoling Ye; An Wang 004 (ISICA, 2012)

Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs. - Min Xia 002; Yingchao Zhang; Liguo Weng; Xiaoling Ye (Knowl. Based Syst., 2012)

Sequence memory based on an oscillatory neural network. - Min Xia 002; Liguo Weng; Zhijie Wang 001; Jian-An Fang (Sci. China Inf. Sci., 2014)

Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination. - Liguo Weng; Qingshan Liu 001; Min Xia 002; Yongduan Song (Neurocomputing, 2014)

A seasonal discrete grey forecasting model for fashion retailing. - Min Xia 002; Wai Keung Wong (Knowl. Based Syst., 2014)

Sequence Memory Based on Coherent Spin-Interaction Neural Networks. - Min Xia 002; Wai Keung Wong; Zhijie Wang 001 (Neural Comput., 2014)

A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image. - Min Xia 002; Weitao Lu; Jun Yang; Ying Ma; Wen Yao; Zichen Zheng (Neurocomputing, 2015)

Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network. - Liguo Weng; Min Xia 002; Wei Wang; Qingshan Liu 001 (Int. J. Syst. Sci., 2015)

Bandwidth Forecasting for Power Communication Using Adaptive Extreme Learning Machine. - Zheng Zheng; Li Di; Song Wang; Min Xia 002; Kai Hu 006; Ruidong Zhang (ICCCS (2), 2016)

Detecting video frame rate up-conversion based on frame-level analysis of average texture variation. - Min Xia 002; Gaobo Yang; Leida Li; Ran Li 003; Xingming Sun (Multim. Tools Appl., 2017)

Two-Stream Designed 2D/3D Residual Networks with Lstms for Action Recognition in Videos. - Lifei Song; Liguo Weng; Lingfeng Wang 002; Min Xia 002; Chunhong Pan (ICIP, 2018)

Credit Risk Contagion Based on Asymmetric Information Association. - Shanshan Jiang; Hong Fan; Min Xia 002 (Complex., 2018)

Electric power communication bandwidth prediction based on adaptive extreme learning machine. - Li Di; Zheng Zheng; Song Wang; Ruidong Zhang; Min Xia 002; Kai Hu 006 (Int. J. Embed. Syst., 2018)

Robot path planning based on multi-objective optimization with local search. - Min Xia 002; Chong Zhang; Liguo Weng; Jia Liu; Ying Wang (J. Intell. Fuzzy Syst., 2018)

基于深度极限学习机的卫星云图云量计算 (Satellite Imagery Cloud Fraction Based on Deep Extreme Learning Machine). - Liguo Weng; Weibin Kong; Min Xia 002; Xuefei Chou (计算机科学, 2018)

Power Load Forecasting Based on Adaptive Deep Long Short-Term Memory Network. - Junbo Wu; Ping Zhang; Zheng Zheng; Min Xia 002 (ICAIS (1), 2019)

Multi-scale residual network for energy disaggregation. - Wan'an Liu; Liguo Weng; Min Xia 002; Yiqing Xu; Ke Wang; Zhuhan Qiao (Int. J. Sens. Networks, 2019)

Dilated residual attention network for load disaggregation. - Min Xia 002; Wan'an Liu; Yiqing Xu; Ke Wang; Xu Zhang 025 (Neural Comput. Appl., 2019)

Defocus Blur Detection via Salient Region Detection Prior. - Ming Qian; Min Xia 002; Chunyi Sun; Zhiwei Wang; Liguo Weng (CoRR, 2020)

Non-intrusive load disaggregation based on composite deep long short-term memory network. - Min Xia 002; Wan'an Liu; Ke Wang; Wenzhu Song; Chunling Chen; Yaping Li (Expert Syst. Appl., 2020)

Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest☆. - Liguo Weng; Ming Qian; Min Xia 002; Yiqing Xu; Chunzheng Li (Comput. Geosci., 2020)

Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network. - Liguo Weng; Yiming Xu; Min Xia 002; Yonghong Zhang; Jia Liu; Yiqing Xu (ISPRS Int. J. Geo Inf., 2020)

Portfolio trading system of digital currencies: A deep reinforcement learning with multidimensional attention gating mechanism. - Liguo Weng; Xudong Sun 010; Min Xia 002; Jia Liu; Yiqing Xu (Neurocomputing, 2020)

Weighted Densely Connected Convolutional Networks for Reinforcement Learning. - Min Xia 002; Wenzhu Song; Xudong Sun 010; Jia Liu; Tao Ye; Yiqing Xu (Int. J. Pattern Recognit. Artif. Intell., 2020)

Density-based semi-supervised online sequential extreme learning machine. - Min Xia 002; Jie Wang; Jia Liu; Liguo Weng; Yiqing Xu (Neural Comput. Appl., 2020)

TCDNet: Trilateral Change Detection Network for Google Earth Image. - Junhao Qian; Min Xia 002; Yonghong Zhang; Jia Liu; Yiqing Xu (Remote. Sens., 2020)

Multi-Stage Feature Constraints Learning for Age Estimation. - Min Xia 002; Xu Zhang 025; Wan'an Liu; Liguo Weng; Yiqing Xu (IEEE Trans. Inf. Forensics Secur., 2020)

SUACDNet: Attentional change detection network based on siamese U-shaped structure. - Lei Song 013; Min Xia 002; Junlan Jin; Ming Qian; Yonghong Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Federated Learning: A Distributed Shared Machine Learning Method. - Kai Hu 006; Yaogen Li; Min Xia 002; Jiasheng Wu; Meixia Lu; Shuai Zhang 044; Liguo Weng (Complex., 2021)

Step-wise multi-grained augmented gradient boosting decision trees for credit scoring. - Wan'an Liu; Hong Fan; Min Xia 002 (Eng. Appl. Artif. Intell., 2021)

Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow. - Yi Qu; Min Xia 002; Yonghong Zhang (Comput. Geosci., 2021)

Non-Local Feature Search Network for Building and Road Segmentation of Remote Sensing Image. - Cheng Ding; Liguo Weng; Min Xia 002; Haifeng Lin (ISPRS Int. J. Geo Inf., 2021)

DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover. - Junqing Huang; Liguo Weng; Bingyu Chen 003; Min Xia 002 (ISPRS Int. J. Geo Inf., 2021)

A novel federated learning approach based on the confidence of federated Kalman filters. - Kai Hu 006; Jiasheng Wu; Liguo Weng; Yanwen Zhang; Fei Zheng; Zichao Pang; Min Xia 002 (Int. J. Mach. Learn. Cybern., 2021)

MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover. - Bingyu Chen 003; Min Xia 002; Junqing Huang (Remote. Sens., 2021)

CDUNet: Cloud Detection UNet for Remote Sensing Imagery. - Kai Hu 006; Dongsheng Zhang; Min Xia 002 (Remote. Sens., 2021)

Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation. - Lexuan Wang; Liguo Weng; Min Xia 002; Jia Liu; Haifeng Lin (Remote. Sens., 2021)

Multi-grained and multi-layered gradient boosting decision tree for credit scoring. - Wan'an Liu; Hong Fan; Min Xia 002 (Appl. Intell., 2022)

Predicting and interpreting financial distress using a weighted boosted tree-based tree. - Wan'an Liu; Hong Fan; Min Xia 002; Congyuan Pang (Eng. Appl. Artif. Intell., 2022)

A focal-aware cost-sensitive boosted tree for imbalanced credit scoring. - Wan'an Liu; Hong Fan; Min Xia 002; Meng Xia (Expert Syst. Appl., 2022)

Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image. - Zhongyu Sun; Wangping Zhou; Chen Ding; Min Xia 002 (ISPRS Int. J. Geo Inf., 2022)

Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network. - Chaoyun Yang; Yonghong Zhang; Min Xia 002; Haifeng Lin; Jia Liu; Yang Li (ISPRS Int. J. Geo Inf., 2022)

MFGAN: multi feature guided aggregation network for remote sensing image. - Shengguang Chu; Peng Li; Min Xia 002 (Neural Comput. Appl., 2022)

Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation. - Chen Lu 004; Min Xia 002; Haifeng Lin (Neural Comput. Appl., 2022)

Multi-Scale Feature Aggregation Network for Water Area Segmentation. - Kai Hu 006; Meng Li; Min Xia 002; Haifeng Lin (Remote. Sens., 2022)

Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing. - Xudong Sun 010; Min Xia 002; Tianfang Dai (Remote. Sens., 2022)

MSNet: Multifunctional Feature-Sharing Network for Land-Cover Segmentation. - Liguo Weng; Jia-Hong Gao; Min Xia 002; Haifeng Lin (Remote. Sens., 2022)

Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory. - Kai Hu 006; Yiwu Ding; Junlan Jin; Min Xia 002; Huaming Huang (Sensors, 2022)

LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images. - Kai Hu 006; Dongsheng Zhang; Min Xia 002; Ming Qian; Binyu Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Dual-Branch Network for Cloud and Cloud Shadow Segmentation. - Chen Lu 004; Min Xia 002; Ming Qian; Binyu Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Multi-Scale Feature Aggregation Network for Semantic Segmentation of Land Cover. - Xu Shen; Liguo Weng; Min Xia 002; Haifeng Lin (Remote. Sens., 2022)

GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection. - Mingyang Li; Wanzhong Chen; Min Xia 002 (Biomed. Signal Process. Control., 2023)

A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network. - Kai Hu 006; Chenghang Weng; Chaowen Shen; Tianyan Wang; Liguo Weng; Min Xia 002 (Eng. Appl. Artif. Intell., 2023)

Dual-branch network for change detection of remote sensing image. - Chong Ma; Liguo Weng; Min Xia 002; Haifeng Lin; Ming Qian; Yonghong Zhang (Eng. Appl. Artif. Intell., 2023)

MCSGNet: A Encoder-Decoder Architecture Network for Land Cover Classification. - Kai Hu 006; Enwei Zhang; Xin Dai; Min Xia 002; Fenghua Zhou; Liguo Weng; Haifeng Lin (Remote. Sens., 2023)

ResAt-UNet: A U-Shaped Network Using ResNet and Attention Module for Image Segmentation of Urban Buildings. - Zhiyong Fan; Yu Liu; Min Xia 002; Jianmin Hou; Fei Yan; Qiang Zang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Axial Cross Attention Meets CNN: Bibranch Fusion Network for Change Detection. - Lei Song 013; Min Xia 002; Liguo Weng; Haifeng Lin; Ming Qian; Binyu Chen (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Sgformer: A Local and Global Features Coupling Network for Semantic Segmentation of Land Cover. - Liguo Weng; Kai Pang; Min Xia 002; Haifeng Lin; Ming Qian; Changjie Zhu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network. - Shanshan Jiang; Ruiting Dong; Jie Wang; Min Xia 002 (Syst., 2023)

Multiscale Attention Feature Aggregation Network for Cloud and Cloud Shadow Segmentation. - Kai Chen; Min Xia 002; Haifeng Lin; Ming Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image. - Xin Dai; Min Xia 002; Liguo Weng; Kai Hu 006; Haifeng Lin; Ming Qian (IEEE Trans. Geosci. Remote. Sens., 2023)

DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image. - Shengguang Chu; Peng Li; Min Xia 002; Haifeng Lin; Ming Qian; Yonghong Zhang (Int. J. Appl. Earth Obs. Geoinformation, 2023)

MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images. - Kai Hu 006; Enwei Zhang; Min Xia 002; Liguo Weng; Haifeng Lin (Remote. Sens., 2023)

Attention-guided siamese networks for change detection in high resolution remote sensing images. - Hongyang Yin; Liguo Weng; Yan Li; Min Xia 002; Kai Hu 006; Haifeng Lin; Ming Qian (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Double Branch Parallel Network for Segmentation of Buildings and Waters in Remote Sensing Images. - Jing Chen; Min Xia 002; Dehao Wang; Haifeng Lin (Remote. Sens., 2023)

CRSNet: Cloud and Cloud Shadow Refinement Segmentation Networks for Remote Sensing Imagery. - Chao Zhang; Liguo Weng; Li Ding; Min Xia 002; Haifeng Lin (Remote. Sens., 2023)

MBCNet: Multi-Branch Collaborative Change-Detection Network Based on Siamese Structure. - Dehao Wang; Liguo Weng; Min Xia 002; Haifeng Lin (Remote. Sens., 2023)

AWL-GCN: Branch Parameter Identification Considering Grid Spatial Structure Constraints. - Zhenkai Huang; Min Xia 002; Min Lu; Lingling Pan; Jun Liu 100 (IEEE Trans. Ind. Informatics, 2023)

Multi-Supervised Feature Fusion Attention Network for Clouds and Shadows Detection. - Huiwen Ji; Min Xia 002; Dongsheng Zhang; Haifeng Lin (ISPRS Int. J. Geo Inf., 2023)

Attentional weighting strategy-based dynamic GCN for skeleton-based action recognition. - Kai Hu 006; Junlan Jin; Chaowen Shen; Min Xia 002; Liguo Weng (Multim. Syst., 2023)

LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow Segmentation. - Xin Dai; Kai Chen; Min Xia 002; Liguo Weng; Haifeng Lin (Remote. Sens., 2023)

DAFNet: A Novel Change-Detection Model for High-Resolution Remote-Sensing Imagery Based on Feature Difference and Attention Mechanism. - Chong Ma; Hongyang Yin; Liguo Weng; Min Xia 002; Haifeng Lin (Remote. Sens., 2023)

Bitemporal Remote Sensing Image Change Detection Network Based on Siamese-Attention Feedback Architecture. - Hongyang Yin; Chong Ma; Liguo Weng; Min Xia 002; Haifeng Lin (Remote. Sens., 2023)

Cross-view adaptive graph attention network for dynamic facial expression recognition. - Yan Li; Min Xia 002; Dongmei Jiang (Multim. Syst., 2023)

MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation. - Kai Chen; Xin Dai; Min Xia 002; Liguo Weng; Kai Hu 006; Haifeng Lin (Remote. Sens., 2023)

Personalized federated learning based on multi-head attention algorithm. - Shanshan Jiang; Meixia Lu; Kai Hu 006; Jiasheng Wu; Yaogen Li; Liguo Weng; Min Xia 002; Haifeng Lin (Int. J. Mach. Learn. Cybern., 2023)

Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton. - Kai Hu 006; Chaowen Shen; Tianyan Wang; Shuai Shen; Chengxue Cai; Huaming Huang; Min Xia 002 (Sensors, 2023)

Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection. - Wei Zhuang; Wen Jiang; Min Xia 002; Jun Liu 100 (IEEE Access, 2024)

Multi-granularity siamese transformer-based change detection in remote sensing imagery. - Lei Song 013; Min Xia 002; Yao Xu; Liguo Weng; Kai Hu 006; Haifeng Lin; Ming Qian (Eng. Appl. Artif. Intell., 2024)

A review of research on reinforcement learning algorithms for multi-agents. - Kai Hu 006; Mingyang Li; Zhiqiang Song; Keer Xu; Qingfeng Xia; Ning Sun; Peng Zhou; Min Xia 002 (Neurocomputing, 2024)

Rethinking general time series analysis from a frequency domain perspective. - Wei Zhuang; Jili Fan; Jiayu Fang; Wenxuan Fang; Min Xia 002 (Knowl. Based Syst., 2024)

A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances. - Kai Hu 006; Ziran Liu; Pengfei Shao; Keyu Ma; Yao Xu; Shiqian Wang; Yuanyuan Wang; Han Wang; Li Di; Min Xia 002; Youke Zhang (Remote. Sens., 2024)

HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow. - Ziwei Hu; Liguo Weng; Min Xia 002; Kai Hu 006; Haifeng Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data. - Kai Hu 006; Qi Zhang 100; Sheng Gong; Fuying Zhang; Liguo Weng; Shanshan Jiang; Min Xia 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image. - Xianxuan Long; Wei Zhuang; Min Xia 002; Kai Hu 006; Haifeng Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection. - Hongjin Ren; Min Xia 002; Liguo Weng; Kai Hu 006; Haifeng Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Bitemporal Attention Sharing Network for Remote Sensing Image Change Detection. - Zhongchen Wang; Guowei Gu; Min Xia 002; Liguo Weng; Kai Hu 006 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Dual Encoder-Decoder Network for Land Cover Segmentation of Remote Sensing Image. - Zhongchen Wang; Min Xia 002; Liguo Weng; Kai Hu 006; Haifeng Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Multipath Multiscale Attention Network for Cloud and Cloud Shadow Segmentation. - Guowei Gu; Liguo Weng; Min Xia 002; Kai Hu 006; Haifeng Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

Multi-Level Attention Interactive Network for Cloud and Snow Detection Segmentation. - Li Ding; Min Xia 002; Haifeng Lin; Kai Hu 006 (Remote. Sens., 2024)

Overview of temporal action detection based on deep learning. - Kai Hu 006; Chaowen Shen; Tianyan Wang; Keer Xu; Qingfeng Xia; Min Xia 002; Chengxue Cai (Artif. Intell. Rev., 2024)

MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion. - Shanshan Jiang; Haifeng Lin; Hongjin Ren; Ziwei Hu; Liguo Weng; Min Xia 002 (Remote. Sens., 2024)

MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images. - Wuxu Ren; Zhongchen Wang; Min Xia 002; Haifeng Lin (Remote. Sens., 2024)

Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images. - Kai Hu 006; Enwei Zhang; Min Xia 002; Huiqin Wang; Xiaoling Ye; Haifeng Lin (Neural Comput. Appl., 2024)

Multi-Scale Fusion Siamese Network Based on Three-Branch Attention Mechanism for High-Resolution Remote Sensing Image Change Detection. - Yan Li; Liguo Weng; Min Xia 002; Kai Hu 006; Haifeng Lin (Remote. Sens., 2024)

AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images. - Zisen Zhan; Hongjin Ren; Min Xia 002; Haifeng Lin; Xiaoya Wang; Xin Li (Remote. Sens., 2024)

A Multi-Scale Spatial-Temporal Graph Neural Network-Based Method of Multienergy Load Forecasting in Integrated Energy System. - Wei Zhuang; Jili Fan; Min Xia 002; Kedong Zhu (IEEE Trans. Smart Grid, 2024)

An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data. - Kai Hu 006; Qi Zhang 100; Xinyan Feng; Ziran Liu; Pengfei Shao; Min Xia 002; Xiaoling Ye (Remote. Sens., 2024)

MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation. - Liling Zhao; Junyu Chen; Muhammad Shahzad; Min Xia 002; Haifeng Lin (Remote. Sens., 2024)

An overview of implementing security and privacy in federated learning. - Kai Hu 006; Sheng Gong; Qi Zhang 100; Chaowen Seng; Min Xia 002; Shanshan Jiang (Artif. Intell. Rev., 2024)

Optimizing Attention in a Transformer for Multihorizon, Multienergy Load Forecasting in Integrated Energy Systems. - Jili Fan; Wei Zhuang; Min Xia 002; Wenxuan Fang; Jun Liu 100 (IEEE Trans. Ind. Informatics, 2024)

Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation. - Kai Hu 006; Xinyan Feng; Qi Zhang 100; Pengfei Shao; Ziran Liu; Yao Xu; Shiqian Wang; Yuanyuan Wang; Han Wang; Li Di; Min Xia 002 (Remote. Sens., 2024)

SPNet: Dual-Branch Network with Spatial Supplementary Information for Building and Water Segmentation of Remote Sensing Images. - Wenyu Zhao; Min Xia 002; Liguo Weng; Kai Hu 006; Haifeng Lin; Youke Zhang; Ziheng Liu (Remote. Sens., 2024)

Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems. - Lingxiao Li; Kai Hu 006; Xiaobo Zhu; Shanshan Jiang; Liguo Weng; Min Xia 002 (IEEE Internet Things J., 2024)

SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation. - Junqing Huang; Junqi Bao; Min Xia 002; Xiaochen Yuan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images. - Junqing Huang; Xiaochen Yuan; Chan-Tong Lam; Yapeng Wang; Min Xia 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds. - Jiawei Yuan; Liling Zhao; Runling Yu; Xiaoqin Lu; Min Xia 002; Yi Liu; Yuru Wang; Xinyue Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection. - Taojun Zhu; Zikai Zhao; Min Xia 002; Junqing Huang; Liguo Weng; Kai Hu 006; Haifeng Lin; Wenyu Zhao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Interactive and Supervised Dual-Mode Attention Network for Remote Sensing Image Change Detection. - Hongjin Ren; Min Xia 002; Liguo Weng; Haifeng Lin; Junqing Huang; Kai Hu 006 (IEEE Trans. Geosci. Remote. Sens., 2025)

Predicting Power Dispatch for Unit Commitment Problems Using Graph-Temporal Convolutional Networks With Constrained Learning. - Li'ao Chen; Siyi Zhou; Xingyu Liang; Wentian Lu; Min Xia 002; Liguo Weng; Jian Geng; Jun Liu 100 (IEEE Trans. Ind. Informatics, 2025)