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• affiliation:Nanjing University of Information Science and Technology, Jiangsu Key Laboratory of Big Data Analysis Technology, Nanjing, China
• affiliation (PhD):Donghua University, College of Information Science and Technology, Shanghai, China

• Min Xia —disambiguation page
• Min Xia0001 — Lancaster University, Department of Engineering, UK
• Min Xia0003 — Northwestern Polytechnical University, Yangtze River Delta Research Institute, Taicang, China
• Min Xia0004 — Huazhong University of Science and Technology, School of Optical and Electronic Information, Wuhan, China
• Min Xia0005 — Southwest University of Science and Technology, School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, China

• Xia Min
• Guangmin Xia(aka: Guang-Min Xia)
• Min-quan Xia
• Yong-Min Xia
• Min-Xia Zhang

• 2026
• 
  [j115]
  Xingyu Liang,Li'ao Chen,Siyi Zhou,Min Xia,Liguo Weng,Jun Liu:
  Interpretable and Accurate Multi-Energy Loads Forecasting via Continuous-Time Modeling.IEEE Trans. Smart Grid17(1):255-268 (2026)
• 2025
• 
  [j114]
  Yao Xu,Min Xia,Kai Hu,Siyi Zhou,Liguo Weng:
  Style Transfer Review: Traditional Machine Learning to Deep Learning.Inf.16(2):157 (2025)
• 
  [j113]
  Taojun Zhu,Zikai Zhao,Min Xia,Junqing Huang,Liguo Weng,Kai Hu,Haifeng Lin,Wenyu Zhao:
  FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.18:3448-3460 (2025)
• 
  [j112]
  Junqing Huang,Xiaochen Yuan,Chan-Tong Lam,Yapeng Wang,Min Xia:
  LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.18:5765-5781 (2025)
• 
  [j111]
  Jiawei Yuan,Liling Zhao,Runling Yu,Xiaoqin Lu,Min Xia,Yi Liu,Yuru Wang,Xinyue Wang:
  A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.18:16798-16815 (2025)
• 
  [j110]
  Junqing Huang,Junqi Bao,Min Xia,Xiaochen Yuan:
  SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.18:16916-16928 (2025)
• 
  [j109]
  Hongjin Ren,Min Xia,Liguo Weng,Haifeng Lin,Junqing Huang,Kai Hu:
  Interactive and Supervised Dual-Mode Attention Network for Remote Sensing Image Change Detection.IEEE Trans. Geosci. Remote. Sens.63:1-18 (2025)
• 
  [j108]
  Zikai Zhao,Xingyu Liang,Min Xia,Liguo Weng,Haifeng Lin,Junqing Huang:
  A Triple-Branch Model With Style-Unified Contrastive Learning and Adaptive Dice Focal Loss for Change Detection.IEEE Trans. Geosci. Remote. Sens.63:1-21 (2025)
• 
  [j107]
  Li'ao Chen,Siyi Zhou,Xingyu Liang,Wentian Lu,Min Xia,Liguo Weng,Jian Geng,Jun Liu:
  Predicting Power Dispatch for Unit Commitment Problems Using Graph-Temporal Convolutional Networks With Constrained Learning.IEEE Trans. Ind. Informatics21(7):5734-5745 (2025)
• 2024
• 
  [j106]
  Wei Zhuang,Wen Jiang,Min Xia,Jun Liu:
  Dynamic Generative Residual Graph Convolutional Neural Networks for Electricity Theft Detection.IEEE Access12:42737-42750 (2024)
• 
  [j105]
  Kai Hu,Chaowen Shen,Tianyan Wang,Keer Xu,Qingfeng Xia,Min Xia,Chengxue Cai:
  Overview of temporal action detection based on deep learning.Artif. Intell. Rev.57(2):26 (2024)
• 
  [j104]
  Kai Hu,Sheng Gong,Qi Zhang,Chaowen Seng,Min Xia,Shanshan Jiang:
  An overview of implementing security and privacy in federated learning.Artif. Intell. Rev.57(8):204 (2024)
• 
  [j103]
  Lei Song,Min Xia,Yao Xu,Liguo Weng,Kai Hu,Haifeng Lin,Ming Qian:
  Multi-granularity siamese transformer-based change detection in remote sensing imagery.Eng. Appl. Artif. Intell.136:108960 (2024)
• 
  [j102]
  Kai Hu,Mingyang Li,Zhiqiang Song,Keer Xu,Qingfeng Xia,Ning Sun,Peng Zhou,Min Xia:
  A review of research on reinforcement learning algorithms for multi-agents.Neurocomputing599:128068 (2024)
• 
  [j101]
  Lingxiao Li,Kai Hu,Xiaobo Zhu,Shanshan Jiang,Liguo Weng,Min Xia:
  Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems.IEEE Internet Things J.11(23):38657-38672 (2024)
• 
  [j100]
  Wei Zhuang,Jili Fan,Jiayu Fang,Wenxuan Fang,Min Xia:
  Rethinking general time series analysis from a frequency domain perspective.Knowl. Based Syst.301:112281 (2024)
• 
  [j99]
  Kai Hu,Enwei Zhang,Min Xia,Huiqin Wang,Xiaoling Ye,Haifeng Lin:
  Cross-dimensional feature attention aggregation network for cloud and snow recognition of high satellite images.Neural Comput. Appl.36(14):7779-7798 (2024)
• 
  [j98]
  Li Ding,Min Xia,Haifeng Lin,Kai Hu:
  Multi-Level Attention Interactive Network for Cloud and Snow Detection Segmentation.Remote. Sens.16(1):112 (2024)
• 
  [j97]
  Wuxu Ren,Zhongchen Wang,Min Xia,Haifeng Lin:
  MFINet: Multi-Scale Feature Interaction Network for Change Detection of High-Resolution Remote Sensing Images.Remote. Sens.16(7):1269 (2024)
• 
  [j96]
  Shanshan Jiang,Haifeng Lin,Hongjin Ren,Ziwei Hu,Liguo Weng,Min Xia:
  MDANet: A High-Resolution City Change Detection Network Based on Difference and Attention Mechanisms under Multi-Scale Feature Fusion.Remote. Sens.16(8):1387 (2024)
• 
  [j95]
  Yan Li,Liguo Weng,Min Xia,Kai Hu,Haifeng Lin:
  Multi-Scale Fusion Siamese Network Based on Three-Branch Attention Mechanism for High-Resolution Remote Sensing Image Change Detection.Remote. Sens.16(10):1665 (2024)
• 
  [j94]
  Zisen Zhan,Hongjin Ren,Min Xia,Haifeng Lin,Xiaoya Wang,Xin Li:
  AMFNet: Attention-Guided Multi-Scale Fusion Network for Bi-Temporal Change Detection in Remote Sensing Images.Remote. Sens.16(10):1765 (2024)
• 
  [j93]
  Kai Hu,Qi Zhang,Xinyan Feng,Ziran Liu,Pengfei Shao,Min Xia,Xiaoling Ye:
  An Interpolation and Prediction Algorithm for XCO2 Based on Multi-Source Time Series Data.Remote. Sens.16(11):1907 (2024)
• 
  [j92]
  Liling Zhao,Junyu Chen,Muhammad Shahzad,Min Xia,Haifeng Lin:
  MFPANet: Multi-Scale Feature Perception and Aggregation Network for High-Resolution Snow Depth Estimation.Remote. Sens.16(12):2087 (2024)
• 
  [j91]
  Wenyu Zhao,Min Xia,Liguo Weng,Kai Hu,Haifeng Lin,Youke Zhang,Ziheng Liu:
  SPNet: Dual-Branch Network with Spatial Supplementary Information for Building and Water Segmentation of Remote Sensing Images.Remote. Sens.16(17):3161 (2024)
• 
  [j90]
  Kai Hu,Xinyan Feng,Qi Zhang,Pengfei Shao,Ziran Liu,Yao Xu,Shiqian Wang,Yuanyuan Wang,Han Wang,Li Di,Min Xia:
  Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation.Remote. Sens.16(18):3394 (2024)
• 
  [j89]
  Kai Hu,Ziran Liu,Pengfei Shao,Keyu Ma,Yao Xu,Shiqian Wang,Yuanyuan Wang,Han Wang,Li Di,Min Xia,Youke Zhang:
  A Review of Satellite-Based CO2 Data Reconstruction Studies: Methodologies, Challenges, and Advances.Remote. Sens.16(20):3818 (2024)
• 
  [j88]
  Xianxuan Long,Wei Zhuang,Min Xia,Kai Hu,Haifeng Lin:
  SASiamNet: Self-Adaptive Siamese Network for Change Detection of Remote Sensing Image.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:1021-1034 (2024)
• 
  [j87]
  Zhongchen Wang,Min Xia,Liguo Weng,Kai Hu,Haifeng Lin:
  Dual Encoder-Decoder Network for Land Cover Segmentation of Remote Sensing Image.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:2372-2385 (2024)
• 
  [j86]
  Hongjin Ren,Min Xia,Liguo Weng,Kai Hu,Haifeng Lin:
  Dual-Attention-Guided Multiscale Feature Aggregation Network for Remote Sensing Image Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:4899-4916 (2024)
• 
  [j85]
  Ziwei Hu,Liguo Weng,Min Xia,Kai Hu,Haifeng Lin:
  HyCloudX: A Multibranch Hybrid Segmentation Network With Band Fusion for Cloud/Shadow.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:6762-6778 (2024)
• 
  [j84]
  Kai Hu,Qi Zhang,Sheng Gong,Fuying Zhang,Liguo Weng,Shanshan Jiang,Min Xia:
  A Review of Anthropogenic Ground-Level Carbon Emissions Based on Satellite Data.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:8339-8357 (2024)
• 
  [j83]
  Zhongchen Wang,Guowei Gu,Min Xia,Liguo Weng,Kai Hu:
  Bitemporal Attention Sharing Network for Remote Sensing Image Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.17:10368-10379 (2024)
• 
  [j82]
  Guowei Gu,Liguo Weng,Min Xia,Kai Hu,Haifeng Lin:
  Multipath Multiscale Attention Network for Cloud and Cloud Shadow Segmentation.IEEE Trans. Geosci. Remote. Sens.62:1-15 (2024)
• 
  [j81]
  Jili Fan,Wei Zhuang,Min Xia,Wenxuan Fang,Jun Liu:
  Optimizing Attention in a Transformer for Multihorizon, Multienergy Load Forecasting in Integrated Energy Systems.IEEE Trans. Ind. Informatics20(8):10238-10248 (2024)
• 
  [j80]
  Wei Zhuang,Jili Fan,Min Xia,Kedong Zhu:
  A Multi-Scale Spatial-Temporal Graph Neural Network-Based Method of Multienergy Load Forecasting in Integrated Energy System.IEEE Trans. Smart Grid15(3):2652-2666 (2024)
• 2023
• 
  [j79]
  Shengguang Chu,Peng Li,Min Xia,Haifeng Lin,Ming Qian,Yonghong Zhang:
  DBFGAN: Dual Branch Feature Guided Aggregation Network for remote sensing image.Int. J. Appl. Earth Obs. Geoinformation116:103141 (2023)
• 
  [j78]
  Hongyang Yin,Liguo Weng,Yan Li,Min Xia,Kai Hu,Haifeng Lin,Ming Qian:
  Attention-guided siamese networks for change detection in high resolution remote sensing images.Int. J. Appl. Earth Obs. Geoinformation117:103206 (2023)
• 
  [j77]
  Mingyang Li,Wanzhong Chen,Min Xia:
  GNMF-based quadratic feature extraction in SSTFT domain for epileptic EEG detection.Biomed. Signal Process. Control.80(Part):104274 (2023)
• 
  [j76]
  Kai Hu,Chenghang Weng,Chaowen Shen,Tianyan Wang,Liguo Weng,Min Xia:
  A multi-stage underwater image aesthetic enhancement algorithm based on a generative adversarial network.Eng. Appl. Artif. Intell.123(Part A):106196 (2023)
• 
  [j75]
  Chong Ma,Liguo Weng,Min Xia,Haifeng Lin,Ming Qian,Yonghong Zhang:
  Dual-branch network for change detection of remote sensing image.Eng. Appl. Artif. Intell.123(Part B):106324 (2023)
• 
  [j74]
  Huiwen Ji,Min Xia,Dongsheng Zhang,Haifeng Lin:
  Multi-Supervised Feature Fusion Attention Network for Clouds and Shadows Detection.ISPRS Int. J. Geo Inf.12(6):247 (2023)
• 
  [j73]
  Shanshan Jiang,Meixia Lu,Kai Hu,Jiasheng Wu,Yaogen Li,Liguo Weng,Min Xia,Haifeng Lin:
  Personalized federated learning based on multi-head attention algorithm.Int. J. Mach. Learn. Cybern.14(11):3783-3798 (2023)
• 
  [j72]
  Kai Hu,Junlan Jin,Chaowen Shen,Min Xia,Liguo Weng:
  Attentional weighting strategy-based dynamic GCN for skeleton-based action recognition.Multim. Syst.29(4):1941-1954 (2023)
• 
  [j71]
  Yan Li,Min Xia,Dongmei Jiang:
  Cross-view adaptive graph attention network for dynamic facial expression recognition.Multim. Syst.29(5):2715-2728 (2023)
• 
  [j70]
  Kai Hu,Enwei Zhang,Min Xia,Liguo Weng,Haifeng Lin:
  MCANet: A Multi-Branch Network for Cloud/Snow Segmentation in High-Resolution Remote Sensing Images.Remote. Sens.15(4):1055 (2023)
• 
  [j69]
  Jing Chen,Min Xia,Dehao Wang,Haifeng Lin:
  Double Branch Parallel Network for Segmentation of Buildings and Waters in Remote Sensing Images.Remote. Sens.15(6):1536 (2023)
• 
  [j68]
  Chao Zhang,Liguo Weng,Li Ding,Min Xia,Haifeng Lin:
  CRSNet: Cloud and Cloud Shadow Refinement Segmentation Networks for Remote Sensing Imagery.Remote. Sens.15(6):1664 (2023)
• 
  [j67]
  Dehao Wang,Liguo Weng,Min Xia,Haifeng Lin:
  MBCNet: Multi-Branch Collaborative Change-Detection Network Based on Siamese Structure.Remote. Sens.15(9):2237 (2023)
• 
  [j66]
  Kai Hu,Enwei Zhang,Xin Dai,Min Xia,Fenghua Zhou,Liguo Weng,Haifeng Lin:
  MCSGNet: A Encoder-Decoder Architecture Network for Land Cover Classification.Remote. Sens.15(11):2810 (2023)
• 
  [j65]
  Chong Ma,Hongyang Yin,Liguo Weng,Min Xia,Haifeng Lin:
  DAFNet: A Novel Change-Detection Model for High-Resolution Remote-Sensing Imagery Based on Feature Difference and Attention Mechanism.Remote. Sens.15(15):3896 (2023)
• 
  [j64]
  Xin Dai,Kai Chen,Min Xia,Liguo Weng,Haifeng Lin:
  LPMSNet: Location Pooling Multi-Scale Network for Cloud and Cloud Shadow Segmentation.Remote. Sens.15(16):4005 (2023)
• 
  [j63]
  Hongyang Yin,Chong Ma,Liguo Weng,Min Xia,Haifeng Lin:
  Bitemporal Remote Sensing Image Change Detection Network Based on Siamese-Attention Feedback Architecture.Remote. Sens.15(17):4186 (2023)
• 
  [j62]
  Kai Chen,Xin Dai,Min Xia,Liguo Weng,Kai Hu,Haifeng Lin:
  MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation.Remote. Sens.15(19):4853 (2023)
• 
  [j61]
  Kai Hu,Chaowen Shen,Tianyan Wang,Shuai Shen,Chengxue Cai,Huaming Huang,Min Xia:
  Action Recognition Based on Multi-Level Topological Channel Attention of Human Skeleton.Sensors23(24):9738 (2023)
• 
  [j60]
  Lei Song,Min Xia,Liguo Weng,Haifeng Lin,Ming Qian,Binyu Chen:
  Axial Cross Attention Meets CNN: Bibranch Fusion Network for Change Detection.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.16:32-43 (2023)
• 
  [j59]
  Zhiyong Fan,Yu Liu,Min Xia,Jianmin Hou,Fei Yan,Qiang Zang:
  ResAt-UNet: A U-Shaped Network Using ResNet and Attention Module for Image Segmentation of Urban Buildings.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.16:2094-2111 (2023)
• 
  [j58]
  Liguo Weng,Kai Pang,Min Xia,Haifeng Lin,Ming Qian,Changjie Zhu:
  Sgformer: A Local and Global Features Coupling Network for Semantic Segmentation of Land Cover.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.16:6812-6824 (2023)
• 
  [j57]
  Shanshan Jiang,Ruiting Dong,Jie Wang,Min Xia:
  Credit Card Fraud Detection Based on Unsupervised Attentional Anomaly Detection Network.Syst.11(6):305 (2023)
• 
  [j56]
  Kai Chen,Min Xia,Haifeng Lin,Ming Qian:
  Multiscale Attention Feature Aggregation Network for Cloud and Cloud Shadow Segmentation.IEEE Trans. Geosci. Remote. Sens.61:1-16 (2023)
• 
  [j55]
  Xin Dai,Min Xia,Liguo Weng,Kai Hu,Haifeng Lin,Ming Qian:
  Multiscale Location Attention Network for Building and Water Segmentation of Remote Sensing Image.IEEE Trans. Geosci. Remote. Sens.61:1-19 (2023)
• 
  [j54]
  Zhenkai Huang,Min Xia,Min Lu,Lingling Pan,Jun Liu:
  AWL-GCN: Branch Parameter Identification Considering Grid Spatial Structure Constraints.IEEE Trans. Ind. Informatics19(5):6939-6949 (2023)
• 2022
• 
  [j53]
  Wan'an Liu,Hong Fan,Min Xia:
  Multi-grained and multi-layered gradient boosting decision tree for credit scoring.Appl. Intell.52(5):5325-5341 (2022)
• 
  [j52]
  Wan'an Liu,Hong Fan,Min Xia,Congyuan Pang:
  Predicting and interpreting financial distress using a weighted boosted tree-based tree.Eng. Appl. Artif. Intell.116:105466 (2022)
• 
  [j51]
  Wan'an Liu,Hong Fan,Min Xia,Meng Xia:
  A focal-aware cost-sensitive boosted tree for imbalanced credit scoring.Expert Syst. Appl.208:118158 (2022)
• 
  [j50]
  Zhongyu Sun,Wangping Zhou,Chen Ding,Min Xia:
  Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image.ISPRS Int. J. Geo Inf.11(3):165 (2022)
• 
  [j49]
  Chaoyun Yang,Yonghong Zhang,Min Xia,Haifeng Lin,Jia Liu,Yang Li:
  Satellite Image for Cloud and Snow Recognition Based on Lightweight Feature Map Attention Network.ISPRS Int. J. Geo Inf.11(7):390 (2022)
• 
  [j48]
  Chen Lu,Min Xia,Haifeng Lin:
  Multi-scale strip pooling feature aggregation network for cloud and cloud shadow segmentation.Neural Comput. Appl.34(8):6149-6162 (2022)
• 
  [j47]
  Shengguang Chu,Peng Li,Min Xia:
  MFGAN: multi feature guided aggregation network for remote sensing image.Neural Comput. Appl.34(12):10157-10173 (2022)
• 
  [j46]
  Kai Hu,Meng Li,Min Xia,Haifeng Lin:
  Multi-Scale Feature Aggregation Network for Water Area Segmentation.Remote. Sens.14(1):206 (2022)
• 
  [j45]
  Xudong Sun,Min Xia,Tianfang Dai:
  Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing.Remote. Sens.14(1):207 (2022)
• 
  [j44]
  Liguo Weng,Jia-Hong Gao,Min Xia,Haifeng Lin:
  MSNet: Multifunctional Feature-Sharing Network for Land-Cover Segmentation.Remote. Sens.14(20):5209 (2022)
• 
  [j43]
  Xu Shen,Liguo Weng,Min Xia,Haifeng Lin:
  Multi-Scale Feature Aggregation Network for Semantic Segmentation of Land Cover.Remote. Sens.14(23):6156 (2022)
• 
  [j42]
  Kai Hu,Yiwu Ding,Junlan Jin,Min Xia,Huaming Huang:
  Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory.Sensors22(14):5259 (2022)
• 
  [j41]
  Kai Hu,Dongsheng Zhang,Min Xia,Ming Qian,Binyu Chen:
  LCDNet: Light-Weighted Cloud Detection Network for High-Resolution Remote Sensing Images.IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.15:4809-4823 (2022)
• 
  [j40]
  Chen Lu,Min Xia,Ming Qian,Binyu Chen:
  Dual-Branch Network for Cloud and Cloud Shadow Segmentation.IEEE Trans. Geosci. Remote. Sens.60:1-12 (2022)
• 2021
• 
  [j39]
  Lei Song,Min Xia,Junlan Jin,Ming Qian,Yonghong Zhang:
  SUACDNet: Attentional change detection network based on siamese U-shaped structure.Int. J. Appl. Earth Obs. Geoinformation105:102597 (2021)
• 
  [j38]
  Kai Hu,Yaogen Li,Min Xia,Jiasheng Wu,Meixia Lu,Shuai Zhang,Liguo Weng:
  Federated Learning: A Distributed Shared Machine Learning Method.Complex.2021:8261663:1-8261663:20 (2021)
• 
  [j37]
  Wan'an Liu,Hong Fan,Min Xia:
  Step-wise multi-grained augmented gradient boosting decision trees for credit scoring.Eng. Appl. Artif. Intell.97:104036 (2021)
• 
  [j36]
  Yi Qu,Min Xia,Yonghong Zhang:
  Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow.Comput. Geosci.157:104940 (2021)
• 
  [j35]
  Junqing Huang,Liguo Weng,Bingyu Chen,Min Xia:
  DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover.ISPRS Int. J. Geo Inf.10(3):125 (2021)
• 
  [j34]
  Cheng Ding,Liguo Weng,Min Xia,Haifeng Lin:
  Non-Local Feature Search Network for Building and Road Segmentation of Remote Sensing Image.ISPRS Int. J. Geo Inf.10(4):245 (2021)
• 
  [j33]
  Kai Hu,Jiasheng Wu,Liguo Weng,Yanwen Zhang,Fei Zheng,Zichao Pang,Min Xia:
  A novel federated learning approach based on the confidence of federated Kalman filters.Int. J. Mach. Learn. Cybern.12(12):3607-3627 (2021)
• 
  [j32]
  Bingyu Chen,Min Xia,Junqing Huang:
  MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover.Remote. Sens.13(4):731 (2021)
• 
  [j31]
  Lexuan Wang,Liguo Weng,Min Xia,Jia Liu,Haifeng Lin:
  Multi-Resolution Supervision Network with an Adaptive Weighted Loss for Desert Segmentation.Remote. Sens.13(11):2054 (2021)
• 
  [j30]
  Kai Hu,Dongsheng Zhang,Min Xia:
  CDUNet: Cloud Detection UNet for Remote Sensing Imagery.Remote. Sens.13(22):4533 (2021)
• 2020
• 
  [j29]
  Min Xia,Wan'an Liu,Ke Wang,Wenzhu Song,Chunling Chen,Yaping Li:
  Non-intrusive load disaggregation based on composite deep long short-term memory network.Expert Syst. Appl.160:113669 (2020)
• 
  [j28]
  Liguo Weng,Ming Qian,Min Xia,Yiqing Xu,Chunzheng Li:
  Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest^☆.Comput. Geosci.144:104557 (2020)
• 
  [j27]
  Liguo Weng,Yiming Xu,Min Xia,Yonghong Zhang,Jia Liu,Yiqing Xu:
  Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network.ISPRS Int. J. Geo Inf.9(4):256 (2020)
• 
  [j26]
  Liguo Weng,Xudong Sun,Min Xia,Jia Liu,Yiqing Xu:
  Portfolio trading system of digital currencies: A deep reinforcement learning with multidimensional attention gating mechanism.Neurocomputing402:171-182 (2020)
• 
  [j25]
  Min Xia,Wenzhu Song,Xudong Sun,Jia Liu,Tao Ye,Yiqing Xu:
  Weighted Densely Connected Convolutional Networks for Reinforcement Learning.Int. J. Pattern Recognit. Artif. Intell.34(4):2052001:1-2052001:22 (2020)
• 
  [j24]
  Min Xia,Jie Wang,Jia Liu,Liguo Weng,Yiqing Xu:
  Density-based semi-supervised online sequential extreme learning machine.Neural Comput. Appl.32(12):7747-7758 (2020)
• 
  [j23]
  Junhao Qian,Min Xia,Yonghong Zhang,Jia Liu,Yiqing Xu:
  TCDNet: Trilateral Change Detection Network for Google Earth Image.Remote. Sens.12(17):2669 (2020)
• 
  [j22]
  Min Xia,Xu Zhang,Wan'an Liu,Liguo Weng,Yiqing Xu:
  Multi-Stage Feature Constraints Learning for Age Estimation.IEEE Trans. Inf. Forensics Secur.15:2417-2428 (2020)
• 
  [i1]
  Ming Qian,Min Xia,Chunyi Sun,Zhiwei Wang,Liguo Weng:
  Defocus Blur Detection via Salient Region Detection Prior.CoRRabs/2011.09677 (2020)

• 2019
• 
  [j21]
  Wan'an Liu,Liguo Weng,Min Xia,Yiqing Xu,Ke Wang,Zhuhan Qiao:
  Multi-scale residual network for energy disaggregation.Int. J. Sens. Networks30(3):172-183 (2019)
• 
  [j20]
  Min Xia,Wan'an Liu,Yiqing Xu,Ke Wang,Xu Zhang:
  Dilated residual attention network for load disaggregation.Neural Comput. Appl.31(12):8931-8953 (2019)
• 
  [c5]
  Junbo Wu,Ping Zhang,Zheng Zheng,Min Xia:
  Power Load Forecasting Based on Adaptive Deep Long Short-Term Memory Network.ICAIS (1)2019:444-453
• 2018
• 
  [j19]
  Shanshan Jiang,Hong Fan,Min Xia:
  Credit Risk Contagion Based on Asymmetric Information Association.Complex.2018:2929157:1-2929157:11 (2018)
• 
  [j18]
  Li Di,Zheng Zheng,Song Wang,Ruidong Zhang,Min Xia,Kai Hu:
  Electric power communication bandwidth prediction based on adaptive extreme learning machine.Int. J. Embed. Syst.10(3):233-240 (2018)
• 
  [j17]
  Min Xia,Chong Zhang,Liguo Weng,Jia Liu,Ying Wang:
  Robot path planning based on multi-objective optimization with local search.J. Intell. Fuzzy Syst.35(2):1755-1764 (2018)
• 
  [j16]
  Liguo Weng,Weibin Kong,Min Xia,Xuefei Chou:
  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).计算机科学45(4):227-232 (2018)
• 
  [c4]
  Lifei Song,Liguo Weng,Lingfeng Wang,Min Xia,Chunhong Pan:
  Two-Stream Designed 2D/3D Residual Networks with Lstms for Action Recognition in Videos.ICIP2018:808-812
• 2017
• 
  [j15]
  Min Xia,Gaobo Yang,Leida Li,Ran Li,Xingming Sun:
  Detecting video frame rate up-conversion based on frame-level analysis of average texture variation.Multim. Tools Appl.76(6):8399-8421 (2017)
• 2016
• 
  [c3]
  Zheng Zheng,Li Di,Song Wang,Min Xia,Kai Hu,Ruidong Zhang:
  Bandwidth Forecasting for Power Communication Using Adaptive Extreme Learning Machine.ICCCS (2)2016:83-91
• 2015
• 
  [j14]
  Min Xia,Weitao Lu,Jun Yang,Ying Ma,Wen Yao,Zichen Zheng:
  A hybrid method based on extreme learning machine and k-nearest neighbor for cloud classification of ground-based visible cloud image.Neurocomputing160:238-249 (2015)
• 
  [j13]
  Liguo Weng,Min Xia,Wei Wang,Qingshan Liu:
  Crew exploration vehicle (CEV) attitude control using a neural-immunology/memory network.Int. J. Syst. Sci.46(1):152-158 (2015)
• 2014
• 
  [j12]
  Min Xia,Liguo Weng,Zhijie Wang,Jian-An Fang:
  Sequence memory based on an oscillatory neural network.Sci. China Inf. Sci.57(7):1-12 (2014)
• 
  [j11]
  Liguo Weng,Qingshan Liu,Min Xia,Yongduan Song:
  Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination.Neurocomputing125:134-141 (2014)
• 
  [j10]
  Min Xia,Wai Keung Wong:
  A seasonal discrete grey forecasting model for fashion retailing.Knowl. Based Syst.57:119-126 (2014)
• 
  [j9]
  Min Xia,Wai Keung Wong,Zhijie Wang:
  Sequence Memory Based on Coherent Spin-Interaction Neural Networks.Neural Comput.26(12):2944-2961 (2014)
• 2012
• 
  [j8]
  Min Xia,Yingchao Zhang,Liguo Weng,Xiaoling Ye:
  Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs.Knowl. Based Syst.36:253-259 (2012)
• 
  [c2]
  Min Xia,Liguo Weng,Xiaoling Ye,An Wang:
  A Neural Network for Episodic Memory with Pattern Interrelation.ISICA2012:540-548
• 2011
• 
  [j7]
  Enjian Bai,Wai Keung Wong,W. C. Chu,Min Xia,Feng Pan:
  A heuristic time-invariant model for fuzzy time series forecasting.Expert Syst. Appl.38(3):2701-2707 (2011)
• 
  [j6]
  Min Xia,Zhijie Wang,Jian-An Fang:
  Temporal association based on dynamic depression synapses and chaotic neurons.Neurocomputing74(17):3242-3247 (2011)
• 
  [j5]
  Min Xia,Yang Tang,Jian-An Fang,Feng Pan:
  Efficient multi-sequence memory with controllable steady-state period and high sequence storage capacity.Neural Comput. Appl.20(1):17-24 (2011)
• 2010
• 
  [j4]
  Wai Keung Wong,Min Xia,W. C. Chu:
  Adaptive neural network model for time-series forecasting.Eur. J. Oper. Res.207(2):807-816 (2010)
• 
  [j3]
  Min Xia,Jian-An Fang,Yang Tang,Zhijie Wang:
  Dynamic depression control of chaotic neural networks for associative memory.Neurocomputing73(4-6):776-783 (2010)

• 2009
• 
  [j2]
  Min Xia,Jian-An Fang,Feng Pan,Enjian Bai:
  Robust sequence memory in sparsely-connected networks with controllable steady-state period.Neurocomputing72(13-15):3123-3130 (2009)
• 
  [j1]
  Yang Tang,Jian-An Fang,Min Xia,Dongmei Yu:
  Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays.Neurocomputing72(16-18):3830-3838 (2009)
• 2008
• 
  [c1]
  Min Xia,Yang Tang,Jian-An Fang:
  Performance of associative memory using partially-connected networks.ISKE2008:867-872

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