Study on Urban House Information Extraction Automatically from Quick Bird Images based on Space Semantic Model. - Li Guan; Ping Wang; Fang Huang 002; Xiangnan Liu (IGARSS, 2006)

Remote Sensing and GIS for Identifying and Monitoring the Environmental Factors Associated with Vector-borne Disease: An Overview. - Wenhua Zeng; Xia Cui; Xiangnan Liu; Haishan Cui; Ping Wang (IGARSS, 2006)

Estimating leaf chlorophyll content of rice under heavy metal stress using neural network model. - Meiling Liu; Xiangnan Liu; Binqing Zhong; Shi Cao (FSKD, 2010)

Estimating chlorophyll content of rice under soil contamination stress using BPNN. - Ping Wang; Fang Huang 002; Xiangnan Liu; Ling Zhao (ICNC, 2010)

A novel puncturing scheme for rate-compatible low-density parity-check codes. - Xiyuan Chen; Honglin Zhao; Yongkui Ma; Xiangnan Liu (CHINACOM, 2011)

Monitoring stress levels on rice with heavy metal pollution from hyperspectral reflectance data using wavelet-fractal analysis. - Meiling Liu; Xiangnan Liu; Weicui Ding; Ling Wu (Int. J. Appl. Earth Obs. Geoinformation, 2011)

Wavelet-based detection of crop zinc stress assessment using hyperspectral reflectance. - Meiling Liu; Xiangnan Liu; Ling Wu; Liqing Duan; Binqing Zhong (Comput. Geosci., 2011)

Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model. - Meiling Liu; Xiangnan Liu; Menxin Wu; Lufeng Li; Lina Xiu (Comput. Geosci., 2011)

Local search for learning algorithm in adaptive fuzzy inference system. - Hui Zhang; Xiangnan Liu (FSKD, 2012)

Estimating regional heavy metal concentrations in rice by scaling up a field-scale heavy metal assessment model. - Meiling Liu; Xiangnan Liu; Jonathan Li 001; Ting Li (Int. J. Appl. Earth Obs. Geoinformation, 2012)

A random forest model for estimating Canopy Chlorophyll Content in rice using hyperspectral measurements. - Xuqing Li; Xiangnan Liu; Zhihong Du; Cuicui Wang (FSKD, 2013)

The assimilation of spectral sensing and the WOFOST model for the dynamic simulation of cadmium accumulation in rice tissues. - Ling Wu; Xiangnan Liu; Ping Wang; Botian Zhou; Meiling Liu; Xuqing Li (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Integration of dynamic rainfall data with environmental factors to forecast debris flow using an improved GMDH model. - Hui Zhang; Xiangnan Liu; Erli Cai; Gang Huang; Chao Ding (Comput. Geosci., 2013)

Assessment of Terrestrial Ecosystem Health in the Yellow River Basin. - Cuicui Wang; Xiangnan Liu; Weiguo Jiang; Wenjie Wang; Qiuling Li; Lihua Yuan; Ran Cao; Yunfei Zhang (GRMSE, 2014)

Evaluating total inorganic nitrogen in coastal waters through fusion of multi-temporal RADARSAT-2 and optical imagery using random forest algorithm. - Meiling Liu; Xiangnan Liu; Jin Li 009; Chao Ding; Jiale Jiang (Int. J. Appl. Earth Obs. Geoinformation, 2014)

An improved BP neural network model for estimating Cd stress in rice using remote sensing data. - Jiale Jiang; Xiangnan Liu; Zhao Xu 003; Ming Jin; Feng Liu 063 (FSKD, 2015)

Impact of Optical Preamplifier Beat Noise on Inter-Satellite Coherent Optical Communication System. - Xiangnan Liu; Chengyong Xiang; Liang Zhang; Yingfei Li (OPTICS, 2015)

An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice. - Ming Jin; Xiangnan Liu; Ling Wu; Meiling Liu (Int. J. Appl. Earth Obs. Geoinformation, 2015)

A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress. - Xuqing Li; Xiangnan Liu; Meiling Liu; Cuicui Wang; Xiaopeng Xia (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Multivariable integration method for estimating sea surface salinity in coastal waters from in situ data and remotely sensed data using random forest algorithm. - Meiling Liu; Xiangnan Liu; Da Liu; Chao Ding; Jiale Jiang (Comput. Geosci., 2015)

Analyzing the Spatial Scaling Bias of Rice Leaf Area Index From Hyperspectral Data Using Wavelet-Fractal Technique. - Jiale Jiang; Xiangnan Liu; Chuanhao Liu; Ling Wu; Xiaopeng Xia; Meiling Liu; Zhihong Du (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

The Dynamic Assessment Model for Monitoring Cadmium Stress Levels in Rice Based on the Assimilation of Remote Sensing and the WOFOST Model. - Feng Liu 063; Xiangnan Liu; Liting Zhao; Chao Ding; Jiale Jiang; Ling Wu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing. - Meiling Liu; Xiangnan Liu; Biyao Zhang; Chao Ding (Int. J. Appl. Earth Obs. Geoinformation, 2016)

Spatial Up-Scaling Correction for Leaf Area Index Based on the Fractal Theory. - Ling Wu; Qiming Qin; Xiangnan Liu; Huazhong Ren; Jianhua Wang; Xiao Po Zheng; Xin Ye 001; Yuejun Sun (Remote. Sens., 2016)

Deriving the Characteristic Scale for Effectively Monitoring Heavy Metal Stress in Rice by Assimilation of GF-1 Data with the WOFOST Model. - Zhi Huang; Xiangnan Liu; Ming Jin; Chao Ding; Jiale Jiang; Ling Wu (Sensors, 2016)

Optimizing the Temporal Scale in the Assimilation of Remote Sensing and WOFOST Model for Dynamically Monitoring Heavy Metal Stress in Rice. - Feng Liu 063; Xiangnan Liu; Ling Wu; Zhao Xu 003; Lu Gong (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Assessment of heavy metal stress using hyperspectral data. - Ping Wang; Fang Huang 002; Xiangnan Liu (IGARSS, 2017)

Temporal Interpolation of Satellite-Derived Leaf Area Index Time Series by Introducing Spatial-Temporal Constraints for Heterogeneous Grasslands. - Chao Ding; Xiangnan Liu; Fang Huang 002 (Remote. Sens., 2017)

Estimating FAPAR of Rice Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress. - Gaoxiang Zhou; Xiangnan Liu; Shuang Zhao; Ming Liu; Ling Wu (Remote. Sens., 2017)

Extraction of Rice Phenological Differences under Heavy Metal Stress Using EVI Time-Series from HJ-1A/B Data. - Shuyuan Liu; Xiangnan Liu; Meiling Liu; Ling Wu; Chao Ding; Zhi Huang (Sensors, 2017)

Distinguishing Heavy-Metal Stress Levels in Rice Using Synthetic Spectral Index Responses to Physiological Function Variations. - Ming Jin; Xiangnan Liu; Ling Wu; Meiling Liu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Evaluating Heavy-Metal Stress Levels in Rice Using a Theoretical Model of Canopy-Air Temperature and Leaf Area Index Based on Remote Sensing. - Ming Jin; Xiangnan Liu; Biyao Zhang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Energy Efficient Resource Allocation and Caching in Fog Radio Access Networks. - Haijun Zhang 001; Xiangnan Liu; Keping Long; Arumugam Nallanathan; Victor C. M. Leung (GLOBECOM, 2018)

Identifying multiple stressors in regional agro-ecosystems based on sentinel-2 spectral indices time series. - Meiling Liu; Xiangnan Liu; Yuanyuan Meng; Andrew K. Skidmore; Tiejun Wang (IGARSS, 2018)

Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for Fapar Estimation. - Gaoxiang Zhou; Ming Liu; Xiangnan Liu; Jonathan Li 001 (IGARSS, 2018)

Overview of deep space laser communication. - Weiren Wu; Ming Chen; Zhe Zhang; Xiangnan Liu; Yuhui Dong (Sci. China Inf. Sci., 2018)

Study on the method of colour image noise reduction based on optimal channel-processing. - Yutan Wang; Yingpeng Dai; Xiangnan Liu; Bohan Liu; Xiaoyun Guo (IET Image Process., 2018)

Method for Mapping Rice Fields in Complex Landscape Areas Based on Pre-Trained Convolutional Neural Network from HJ-1 A/B Data. - Tian Jiang; Xiangnan Liu; Ling Wu (ISPRS Int. J. Geo Inf., 2018)

A Modified Spatiotemporal Fusion Algorithm Using Phenological Information for Predicting Reflectance of Paddy Rice in Southern China. - Mengxue Liu; Xiangnan Liu; Ling Wu; Xinyu Zou; Tian Jiang; Bingyu Zhao (Remote. Sens., 2018)

Phenology-Based Residual Trend Analysis of MODIS-NDVI Time Series for Assessing Human-Induced Land Degradation. - Hao Chen; Xiangnan Liu; Chao Ding; Fang Huang 002 (Sensors, 2018)

Evaluating Heavy Metal Stress Levels in Rice Based on Remote Sensing Phenology. - Tianjiao Liu; Xiangnan Liu; Meiling Liu; Ling Wu (Sensors, 2018)

Classification of Rice Heavy Metal Stress Levels Based on Phenological Characteristics Using Remote Sensing Time-Series Images and Data Mining Algorithms. - Tianjiao Liu; Xiangnan Liu; Meiling Liu; Ling Wu (Sensors, 2018)

A New Vegetation Index Based on Multitemporal Sentinel-2 Images for Discriminating Heavy Metal Stress Levels in Rice. - Zhijiang Zhang; Meiling Liu; Xiangnan Liu; Gaoxiang Zhou (Sensors, 2018)

Finding the Key Periods for Assimilating HJ-1A/B CCD Data and the WOFOST Model to Evaluate Heavy Metal Stress in Rice. - Shuang Zhao; Xu Qian; Xiangnan Liu; Zhao Xu 003 (Sensors, 2018)

Scaling Correction of Remotely Sensed Leaf Area Index for Farmland Landscape Pattern With Multitype Spatial Heterogeneities Using Fractal Dimension and Contextural Parameters. - Ling Wu; Xiangnan Liu; Qiming Qin; Bingyu Zhao; Yujia Ma; Mengxue Liu; Tian Jiang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Collaborative inversion heavy metal stress in rice by using two-dimensional spectral feature space based on HJ-1 A HSI and radarsat-2 SAR remote sensing data. - Xuqing Li; Long Li; Xiangnan Liu (Int. J. Appl. Earth Obs. Geoinformation, 2019)

An approach for heavy metal pollution detected from spatio-temporal stability of stress in rice using satellite images. - Meiling Liu; Andrew K. Skidmore; Tiejun Wang; Xiangnan Liu; Ling Wu; Lingwen Tian (Int. J. Appl. Earth Obs. Geoinformation, 2019)

Detection of Rice Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series. - Biyao Zhang; Xiangnan Liu; Meiling Liu; Yuanyuan Meng (Remote. Sens., 2019)

Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. - Gaoxiang Zhou; Xiangnan Liu; Ming Liu (Remote. Sens., 2019)

Long-Term Monitoring of Cropland Change near Dongting Lake, China, Using the LandTrendr Algorithm with Landsat Imagery. - Lihong Zhu; Xiangnan Liu; Ling Wu; Yibo Tang; Yuanyuan Meng (Remote. Sens., 2019)

Parallel Computing for Obtaining Regional Scale Rice Growth Conditions Based on WOFOST and Satellite Images. - Bingyu Zhao; Meiling Liu; Jianjun Wu 001; Xiangnan Liu; Mengxue Liu; Ling Wu (IEEE Access, 2020)

Analysis of ecological resilience to evaluate the inherent maintenance capacity of a forest ecosystem using a dense Landsat time series. - Yuanyuan Meng; Xiangnan Liu; Chao Ding; Boliang Xu; Gaoxiang Zhou; Lihong Zhu (Ecol. Informatics, 2020)

An Improved Spatiotemporal Data Fusion Method Using Surface Heterogeneity Information Based on ESTARFM. - Mengxue Liu; Xiangnan Liu; Xiaobin Dong; Bingyu Zhao; Xinyu Zou; Ling Wu; Hejie Wei (Remote. Sens., 2020)

Multi-Type Forest Change Detection Using BFAST and Monthly Landsat Time Series for Monitoring Spatiotemporal Dynamics of Forests in Subtropical Wetland. - Ling Wu; Zhaoliang Li; Xiangnan Liu; Lihong Zhu; Yibo Tang; Biyao Zhang; Boliang Xu; Meiling Liu; Yuanyuan Meng; Boyuan Liu (Remote. Sens., 2020)

Primal Dual PPO Learning Resource Allocation in Indoor IRS-Aided Networks. - Haijun Zhang 001; Xiangnan Liu; Keping Long; H. Vincent Poor (GLOBECOM, 2021)

Quantifying the spatiotemporal characteristics of multi-dimensional karst ecosystem stability with Landsat time series in southwest China. - Zhi Huang; Xiangnan Liu; Qin Yang 007; Yuanyuan Meng; Lihong Zhu; Xinyu Zou (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Characterising three decades of evolution of forest spatial pattern in a major coal-energy province in northern China using annual Landsat time series. - Yu Li 040; Meiling Liu; Xiangnan Liu; Wenfu Yang; Wenwen Wang (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Long-term Landsat monitoring of mining subsidence based on spatiotemporal variations in soil moisture: A case study of Shanxi Province, China. - Zhiyu Yi; Meiling Liu; Xiangnan Liu; Yuebin Wang; Ling Wu; Zheng Wang; Lihong Zhu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China. - Jie Zhang; Meiling Liu; Xiangnan Liu; Weiqun Luo; Ling Wu; Lihong Zhu (Int. J. Appl. Earth Obs. Geoinformation, 2021)

An autoencoder-based model for forest disturbance detection using Landsat time series data. - Gaoxiang Zhou; Ming Liu; Xiangnan Liu (Int. J. Digit. Earth, 2021)

Developing a new disturbance index for tracking gradual change of forest ecosystems in the hilly red soil region of southern China using dense Landsat time series. - Lu Ye; Meiling Liu; Xiangnan Liu; Lihong Zhu (Ecol. Informatics, 2021)

Multi-Scale Spatiotemporal Change Characteristics Analysis of High-Frequency Disturbance Forest Ecosystem Based on Improved Spatiotemporal Cube Model. - Yangcen Zhang; Xiangnan Liu; Meiling Liu; Xinyu Zou; Qian Zhang 073; Tao Peng (Remote. Sens., 2021)

Comparative Analysis of Edge Information and Polarization on SAR-to-Optical Translation Based on Conditional Generative Adversarial Networks. - Qian Zhang 073; Xiangnan Liu; Meiling Liu; Xinyu Zou; Lihong Zhu; Xiaohao Ruan (Remote. Sens., 2021)

Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability. - Yue Zhang; Xiangnan Liu; Qin Yang 007; Zhaolun Liu; Yu Li 040 (Remote. Sens., 2021)

AI-aided Traffic Control Scheme for M2M Communications in the Internet of Vehicles. - Haijun Zhang 001; Minghui Jiang 006; Xiangnan Liu; Keping Long; Victor C. M. Leung (ICC, 2022)

An improved YOLOv5 model based on visual attention mechanism: Application to recognition of tomato virus disease. - Jiangtao Qi; Xiangnan Liu; Kai Liu; Farong Xu; Hui Guo; Xinliang Tian; Mao Li; Zhiyuan Bao; Yang Li 113 (Comput. Electron. Agric., 2022)

Deep Dyna-Reinforcement Learning Based on Random Access Control in LEO Satellite IoT Networks. - Xiangnan Liu; Haijun Zhang 001; Keping Long; Arumugam Nallanathan; Victor C. M. Leung (IEEE Internet Things J., 2022)

Primal-Dual Learning for Cross-Layer Resource Management in Cell-Free Massive MIMO IIoT. - Xiangnan Liu; Haijun Zhang 001; Xiangming Wen; Keping Long; Jianquan Wang; Lei Sun 012 (IEEE Internet Things J., 2022)

Proximal Policy Optimization-Based Transmit Beamforming and Phase-Shift Design in an IRS-Aided ISAC System for the THz Band. - Xiangnan Liu; Haijun Zhang 001; Keping Long; Mingyu Zhou; Yonghui Li 001; H. Vincent Poor (IEEE J. Sel. Areas Commun., 2022)

Hybrid Spatiotemporal Graph Convolutional Network for Detecting Landscape Pattern Evolution From Long-Term Remote Sensing Images. - Meiling Liu; Xiangnan Liu; Ling Wu; Tao Peng; Qian Zhang 073; Xinyu Zou; Lingwen Tian; Xuan Wang (IEEE Trans. Geosci. Remote. Sens., 2022)

Reconstruction of Optical Image Time Series With Unequal Lengths SAR Based on Improved Sequence-Sequence Model. - Tao Peng; Meiling Liu; Xiangnan Liu; Qian Zhang 073; Ling Wu; Xinyu Zou (IEEE Trans. Geosci. Remote. Sens., 2022)

State-and-Evolution Detection Models: A Framework for Continuously Monitoring Landscape Pattern Change. - Lingwen Tian; Xiangnan Liu; Meiling Liu; Ling Wu (IEEE Trans. Geosci. Remote. Sens., 2022)

Online Forest Disturbance Detection at the Sub-Annual Scale Using Spatial Context From Sparse Landsat Time Series. - Ling Wu; Xiangnan Liu; Meiling Liu; Jinghui Yang; Lihong Zhu; Botian Zhou (IEEE Trans. Geosci. Remote. Sens., 2022)

Energy Efficient User Association, Resource Allocation and Caching Deployment in Fog Radio Access Networks. - Xiangnan Liu; Haijun Zhang 001; Keping Long; Arumugam Nallanathan; Victor C. M. Leung (IEEE Trans. Veh. Technol., 2022)

Decomposition of long time-series fraction of absorbed photosynthetically active radiation signal for distinguishing heavy metal stress in rice. - Mengqi Li; Meiling Liu; Xiangnan Liu; Tao Peng; Shuyu Wang (Comput. Electron. Agric., 2022)

An Object- and Shapelet-Based Method for Mapping Planted Forest Dynamics from Landsat Time Series. - Xiaojing Xue; Caiyong Wei; Qin Yang 007; Lingwen Tian; Lihong Zhu; Yuanyuan Meng; Xiangnan Liu (Remote. Sens., 2022)

Remote Sensing Extraction Method of Illicium verum Based on Functional Characteristics of Vegetation Canopy. - Zhuoyao Zhang; Xiangnan Liu; Lihong Zhu; Junji Li; Yue Zhang (Remote. Sens., 2022)

Deep manifold regularized semi-nonnegative matrix factorization for Multi-view Clustering. - Xiangnan Liu; Shifei Ding; Xiao Xu 006; Lijuan Wang (Appl. Soft Comput., 2023)

Spatiotemporal graph-based analysis of land cover evolution using remote sensing time series data. - Xinyu Zou; Xiangnan Liu; Meiling Liu; Lingwen Tian; Lihong Zhu; Qian Zhang 073 (Int. J. Geogr. Inf. Sci., 2023)

User Scheduling and Task Offloading in Multi-Tier Computing 6G Vehicular Network. - Haijun Zhang 001; Lizhe Feng; Xiangnan Liu; Keping Long; George K. Karagiannidis (IEEE J. Sel. Areas Commun., 2023)

Intelligent Channel Prediction and Power Adaptation in LEO Constellation for 6G. - Haijun Zhang 001; Wei Song; Xiangnan Liu; Min Sheng; Wei Li 012; Keping Long; Octavia A. Dobre (IEEE Netw., 2023)

Sub-Annual Scale LandTrendr: Sub-Annual Scale Deforestation Detection Algorithm Using Multi-Source Time Series Data. - Baowen Yang; Ling Wu; Zhengshan Ju; Xiangnan Liu; Meiling Liu; Tingwei Zhang; Yuqi Xu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Multi-Dimensional Evaluation of Ecosystem Health in China's Loess Plateau Based on Function-Oriented Metrics and BFAST Algorithm. - Xiaoyue Li; Xiangnan Liu; Bowen Hou; Lingwen Tian; Qin Yang 007; Lihong Zhu; Yuanyuan Meng (Remote. Sens., 2023)

PPO-Based PDACB Traffic Control Scheme for Massive IoV Communications. - Haijun Zhang 001; Minghui Jiang 006; Xiangnan Liu; Xiangming Wen; Ning Wang 004; Keping Long (IEEE Trans. Intell. Transp. Syst., 2023)

Assessing Forest Landscape Stability through Automatic Identification of Landscape Pattern Evolution in Shanxi Province of China. - Bowen Hou; Caiyong Wei; Xiangnan Liu; Yuanyuan Meng; Xiaoyue Li (Remote. Sens., 2023)

Joint UAV Placement Optimization, Resource Allocation, and Computation Offloading for THz Band: A DRL Approach. - Heng Wang; Haijun Zhang 001; Xiangnan Liu; Keping Long; Arumugam Nallanathan (IEEE Trans. Wirel. Commun., 2023)

Recognition method of maize crop rows at the seedling stage based on MS-ERFNet model. - Xiangnan Liu; Jiangtao Qi; Weirong Zhang; Zhiyuan Bao; Kaichen Wang; Ning Li (Comput. Electron. Agric., 2023)

Identification of Ecological Restoration Approaches and Effects Based on the OO-CCDC Algorithm in an Ecologically Fragile Region. - Caiyong Wei; Xiaojing Xue; Lingwen Tian; Qin Yang 007; Bowen Hou; Wenlong Wang; Dawei Ma; Yuanyuan Meng; Xiangnan Liu (Remote. Sens., 2023)

GNN-Based Power Allocation and User Association in Digital Twin Network for the Terahertz Band. - Haijun Zhang 001; Xu Ma; Xiangnan Liu; Linpei Li; Kai Sun 003 (IEEE J. Sel. Areas Commun., 2023)

USTB 6G: Key Technologies and Metaverse Applications. - Haijun Zhang 001; Dong Wang; Shuqing Wu; Wanqing Guan; Xiangnan Liu (IEEE Wirel. Commun., 2023)

Joint Optimization of Caching Placement and Power Allocation in Virtualized Satellite-Terrestrial Network. - Haijun Zhang 001; Jiali Xu; Xiangnan Liu; Keping Long; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2023)

Distributed Unsupervised Learning for Interference Management in Integrated Sensing and Communication Systems. - Xiangnan Liu; Haijun Zhang 001; Keping Long; Arumugam Nallanathan; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2023)

Layer-wise Efficient Federated Learning with Distributed Clustering and D2D Communications. - Chen Sun 006; Xiangnan Liu; Xinyu Huang 005; Carlo Fischione (SPAWC, 2024)

Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss. - Yuqi Xu; Ling Wu; Xiangnan Liu; Chen Chen; Yiman Li; Qian Zhang 073; Meiling Liu; Tingwei Zhang; Baowen Yang (IEEE Trans. Geosci. Remote. Sens., 2024)

Time Allocation Approaches for a Perceptive Mobile Network Using Integration of Sensing and Communication. - Haijun Zhang 001; Yuxin Zhang; Xiangnan Liu; Chao Ren 001; Haojin Li; Chen Sun 006 (IEEE Trans. Wirel. Commun., 2024)

Historical Dynamic Mapping of Eucalyptus Plantations in Guangxi during 1990-2019 Based on Sliding-Time-Window Change Detection Using Dense Landsat Time-Series Data. - Yiman Li; Xiangnan Liu; Meiling Liu; Ling Wu; Lihong Zhu; Zhi Huang; Xiaojing Xue; Lingwen Tian (Remote. Sens., 2024)

AI-Driven Integration of Sensing and Communication in the 6G Era. - Xiangnan Liu; Haijun Zhang 001; Kai Sun 003; Keping Long; George K. Karagiannidis (IEEE Netw., 2024)

IRS Empowered MEC System With Computation Offloading, Reflecting Design, and Beamforming Optimization. - Zijun Wu; Haijun Zhang 001; Xiangnan Liu; Linpei Li; Haojin Li (IEEE Trans. Commun., 2024)

EWMACD Algorithm in Early Detection of Defoliation Caused by Dendrolimus tabulaeformis Tsai et Liu. - Yuxin Zhao; Zeyu Cui; Xiangnan Liu; Meiling Liu; Ben Yang; Lei Feng; Botian Zhou; Tingwei Zhang; Zheng Tan; Ling Wu (Remote. Sens., 2024)

Resource Allocation and Mobility Management for Perceptive Mobile Networks in 6G. - Haijun Zhang 001; Yuxin Zhang; Xiangnan Liu; Kai Sun 003; Yaomin Zhang (IEEE Wirel. Commun., 2024)

Joint Radar Sensing, Location, and Communication Resources Optimization in 6G Network. - Haijun Zhang 001; Bowen Chen; Xiangnan Liu; Chao Ren 001 (IEEE J. Sel. Areas Commun., 2024)

Multi-Task Learning Resource Allocation in Federated Integrated Sensing and Communication Networks. - Xiangnan Liu; Haijun Zhang 001; Chao Ren 001; Haojin Li; Chen Sun 006; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2024)

Joint Resource Allocation and Trajectory Optimization in Multi-Cell UAV and Sidelink Heterogeneous Networks. - Haijun Zhang 001; Mingyang Han; Xiangnan Liu; Linpei Li; Chen Sun 006; Haojin Li; Victor C. M. Leung (IEEE Trans. Wirel. Commun., 2024)

Integrated Sensing and Communication for 6G Holographic Digital Twins. - Haijun Zhang 001; Ziyang Zhang; Xiangnan Liu; Wei Li; Haojin Li; Chen Sun 006 (IEEE Wirel. Commun., 2025)

Enhancing Low-Latency and High-Reliability Data Forwarding for In-Vehicle Time-Sensitive Networks. - Haitong Sun; Haijun Zhang 001; Wanqing Guan; Xiangnan Liu; Hui Ma 004; Victor C. M. Leung (IEEE Trans. Veh. Technol., 2025)

Resource Allocation Driven by Large Models in Future Semantic-Aware Networks. - Haijun Zhang 001; Jiaxin Ni; Zijun Wu; Xiangnan Liu; Victor C. M. Leung (IEEE Wirel. Commun., 2025)