Evolving multi-spectral neural network classifier using a genetic algorithm. - Zhengjun Liu; Changyao Wang; Zheng Niu; Aixia Liu (IGARSS, 2002)

Monitoring of desertification in central Asia and western China using long term NOAA-AVHRR NDVI time-series data. - Aixia Liu; Zhengjun Liu; Changyao Wang; Zheng Niu; Dongmei Yan (IGARSS, 2003)

Evolving neural network using real coded genetic algorithm (GA) for multispectral image classification. - Zhengjun Liu; Aixia Liu; Changyao Wang; Zheng Niu (Future Gener. Comput. Syst., 2004)

Monitoring desertification in arid and semi-arid areas of China with NOAA-AVHRR and MODIS data. - Aixia Liu; Jing Wang; Zhengjun Liu; Jian Wang (IGARSS, 2005)

A semi-empirical backscattering model for estimation of leaf area index (LAI) of rice in southern China. - Jinsong Chen 001; Hui Lin 002; Aixia Liu; Yun Shao 001; Limin Yang (IGARSS, 2007)

k-Restricted edge connectivity for some interconnection networks. - Shiying Wang; Jun Yuan 001; Aixia Liu (Appl. Math. Comput., 2008)

Sufficient Conditions for Super-Arc-Strongly Connected Oriented Graphs. - Shiying Wang; Jun Yuan 001; Aixia Liu (Graphs Comb., 2008)

The Risk Neural Network Based Visibility Forecast. - Kai Wang 001; Hong Zhao; Aixia Liu; Zhipeng Bai (ICNC (1), 2009)

Sufficient conditions for bipartite graphs to be super-k-restricted edge connected. - Jun Yuan 001; Aixia Liu; Shiying Wang (Discret. Math., 2009)

Application of geographic image cognition approach in land type classification using Hyperion image: A case study in China. - Jing Wang; Yongqi Chen; Ting He; Chunyan Lv; Aixia Liu (Int. J. Appl. Earth Obs. Geoinformation, 2010)

Sufficient conditions for lambdak-optimality in triangle-free graphs. - Jun Yuan 001; Aixia Liu (Discret. Math., 2010)

The k-Restricted Edge Connectivity of Balanced Bipartite Graphs. - Jun Yuan 001; Aixia Liu (Graphs Comb., 2011)

Panconnectivity of n-dimensional torus networks with faulty vertices and edges. - Jun Yuan 001; Aixia Liu; Hongmei Wu; Jing Li 048 (Discret. Appl. Math., 2013)

The g-Good-Neighbor Conditional Diagnosability of k-Ary n-Cubes under the PMC Modeland MM* Model. - Jun Yuan 001; Aixia Liu; Xue Ma; Xiuli Liu; Xiao Qin 001; Jifu Zhang (IEEE Trans. Parallel Distributed Syst., 2015)

Sufficient conditions for triangle-free graphs to be super k-restricted edge-connected. - Jun Yuan 001; Aixia Liu (Inf. Process. Lett., 2016)

g-Good-neighbor conditional diagnosability measures for 3-ary n-cube networks. - Jun Yuan 001; Aixia Liu; Xiao Qin 001; Jifu Zhang; Jing Li 048 (Theor. Comput. Sci., 2016)

On g-extra conditional diagnosability of hypercubes and folded hypercubes. - Aixia Liu; Shiying Wang; Jun Yuan 001; Jing Li 048 (Theor. Comput. Sci., 2017)

Desert vegetation-habitat complexes mapping using Gaofen-1 WFV (wide field of view) time series images in Minqin County, China. - Qiangqiang Sun; Ping Zhang 019; Danfeng Sun; Aixia Liu; Jianwang Dai (Int. J. Appl. Earth Obs. Geoinformation, 2018)

The h-extra connectivity of k-ary n-cubes. - Aixia Liu; Shiying Wang; Jun Yuan 001; Xue Ma (Theor. Comput. Sci., 2019)

The g-Extra Conditional Diagnosability of Graphs in Terms of g-Extra Connectivity. - Aixia Liu; Jun Yuan 001; Shiying Wang (Parallel Process. Lett., 2020)

The Relationship Between the g-Extra Connectivity and the g-Extra Diagnosability of Networks Under the MM* Model. - Jun Yuan 001; Aixia Liu; Xi Wang (Comput. J., 2021)

On g-good-neighbor conditional connectivity and diagnosability of hierarchical star networks. - Aixia Liu; Jun Yuan 001; Shiying Wang; Jing Li 048 (Discret. Appl. Math., 2021)

A Fine-Scale Mangrove Map of China Derived from 2-Meter Resolution Satellite Observations and Field Data. - Tao Zhang 065; Shanshan Hu; Yun He; Shucheng You; Xiaomei Yang; Yuhang Gan; Aixia Liu (ISPRS Int. J. Geo Inf., 2021)

Hospital IoT big data and real-time monitoring and nursing intervention for patients with insomnia. - Xiaoman Chang; Xiaosun Tang; Lei Chen; Aixia Liu; Yan Wang; Na Liu; Yurong Wang (Microprocess. Microsystems, 2021)

Photovoltaic Power Station Extraction from High-Resolution Satellite Images based on Deep Learning Method. - Lei Du; Xu Han; Zhongwu Wang; Zhengyu Luo; Aixia Liu; Shucheng You; Yuhang Gan; Lirong Liu (IGARSS, 2022)

Measurement and algorithm for conditional local diagnosis of regular networks under the MM* model. - Jun Yuan 001; Huijuan Qiao; Aixia Liu; Xi Wang (Discret. Appl. Math., 2022)

Degree Conditions for Completely Independent Spanning Trees of Bipartite Graphs. - Jun Yuan 001; Ru Zhang; Aixia Liu (Graphs Comb., 2022)

The upper and lower bounds of Rg-conditional diagnosability of networks. - Jun Yuan 001; Huijuan Qiao; Aixia Liu (Inf. Process. Lett., 2022)

Downscaling of SMAP Soil Moisture Data by Using a Deep Belief Network. - Yulin Cai; Puran Fan; Sen Lang; Mengyao Li; Yasir Muhammad; Aixia Liu (Remote. Sens., 2022)

The non-inclusive g-good-neighbor diagnosability of interconnection networks. - Jun Yuan 001; Ying Li; Aixia Liu; Huijuan Qiao (Theor. Comput. Sci., 2022)

The Rg-conditional diagnosability of international networks. - Jun Yuan 001; Huijuan Qiao; Aixia Liu (Theor. Comput. Sci., 2022)

Expansion Spectral-Spatial Attention Network for Hyperspectral Image Classification. - Shuo Wang 024; Zhengjun Liu; Yiming Chen; Chengchao Hou; Aixia Liu; Zhenbei Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

The partial diagnosability of interconnection networks under the Hybrid PMC model. - Jun Yuan 001; Shuyuan Ge; Aixia Liu (Theor. Comput. Sci., 2023)

High-Resolution National-Scale Mapping of Paddy Rice Based on Sentinel-1/2 Data. - Chenhao Huang; Shucheng You; Aixia Liu; Penghan Li; Jianhua Zhang; Jinsong Deng (Remote. Sens., 2023)

Tree Species Classification from Airborne Hyperspectral Images Using Spatial-Spectral Network. - Chengchao Hou; Zhengjun Liu; Yiming Chen; Shuo Wang 024; Aixia Liu (Remote. Sens., 2023)

Remote Sensing Monitoring of Water and Wetland on GFDM-1 Satellite Images. - Yun He; Lirong Liu; Shucheng You; Xinglin Mu; Tao Zhang; Aixia Liu; Xu Han (IGARSS, 2024)

Winter Wheat Mapping Method Based on Pseudo-Labels and U-Net Model for Training Sample Shortage. - Jianhua Zhang; Shucheng You; Aixia Liu; Lijian Xie; Chenhao Huang; Xu Han; Penghan Li; Yixuan Wu; Jinsong Deng (Remote. Sens., 2024)

The local diagnosability of directed interconnection networks. - Aixia Liu; Shuchang Chai; Lina Li; Chenhui Liang; Jun Yuan 001 (Theor. Comput. Sci., 2025)