Current situation and method of dynamic monitoring of desertification in Hunshandake Sandy Land. - Pingping Huang; Xiangli Yang; Yuhai Bao; Shan Yin; Wen Hong (IGARSS, 2016)

Fusion of intensity/coherent information using region covariance features for unsupervised classification of SAR imagery. - Xiangli Yang; Shangtan Tu; Yu Bai 007; Wen Yang 001 (IGARSS, 2016)

Riemannian sparse coding for classification of PolSAR images. - Wen Yang 001; Neng Zhong; Xiangli Yang; Anoop Cherian (IGARSS, 2016)

Region-Based Change Detection for Polarimetric SAR Images Using Wishart Mixture Models. - Wen Yang 001; Xiangli Yang; Tianheng Yan; Hui Song; Gui-Song Xia (IEEE Trans. Geosci. Remote. Sens., 2016)

Extraction of build-up area from SAR images using unsupervised ensemble learning. - Xiangli Yang; Wen Yang 001; Neng Zhong; Mingsheng Liao (JURSE, 2017)

Polarimetric SAR Despeckling by Integrating Stochastic Sampling and Contextual Patch Dissimilarity Exploration. - Tianheng Yan; Wen Yang 001; Xiangli Yang; Carlos López-Martínez; Heng-Chao Li 001; Mingsheng Liao (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

Unsupervised Classification of Polarimetric SAR Images via Riemannian Sparse Coding. - Neng Zhong; Wen Yang 001; Anoop Cherian; Xiangli Yang; Gui-Song Xia; Mingsheng Liao (IEEE Trans. Geosci. Remote. Sens., 2017)

Polarimetric SAR Image Classification Using Geodesic Distances and Composite Kernels. - Xiangli Yang; Wen Yang 001; Hui Song; Pingping Huang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Superpixel-Based Urban Change Detection in SAR Images Using Optimal Transport Distance. - Dong Peng; Wen Yang 001; Heng-Chao Li 001; Xiangli Yang (JURSE, 2019)

SAR Image Despeckling Using Pre-trained Convolutional Neural Network Models. - Xiangli Yang; Loïc Denis; Florence Tupin; Wen Yang 001 (JURSE, 2019)

Change Detection of Polarimetric SAR Images Using Minkowski Log-Ratio Distance. - Shuailin Chen; Xiangli Yang; Tongyuan Zou; Dong Peng; Wen Yang 001; Heng-Chao Li 001 (IGARSS, 2020)

SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy. - Emanuele Dalsasso; Xiangli Yang; Loïc Denis; Florence Tupin; Wen Yang 001 (Remote. Sens., 2020)

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001 (CoRR, 2021)

ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. - Chenbin Zhang; Xiangli Yang; Jian Liang 002; Bing Bai; Kun Bai; Irwin King; Zenglin Xu (IJCNN, 2022)

Gradient Imitation Reinforcement Learning for General Low-Resource Information Extraction. - Xuming Hu; Shiao Meng; Chenwei Zhang; Xiangli Yang; Lijie Wen 001; Irwin King; Philip S. Yu (CoRR, 2022)

Click-through rate prediction using transfer learning with fine-tuned parameters. - Xiangli Yang; Qing Liu 020; Rong Su 003; Ruiming Tang; Zhirong Liu; Xiuqiang He 001; Jianxi Yang (Inf. Sci., 2022)

Cascaded U-Net with Training Wheel Attention Module for Change Detection in Satellite Images. - Elyar Adil; Xiangli Yang; Pingping Huang; Xiaolong Liu 009; Weixian Tan; Jianxi Yang (Remote. Sens., 2022)

Semi-asynchronous Federated Learning Optimized for NON-IID Data Communication based on Tensor Decomposition. - Qidong Wu; Xuemei Fu; Xiangli Yang; Ruonan Zhao; Chengqian Wu; Tinghua Zhang (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Generalized Category Discovery with Clustering Assignment Consistency. - Xiangli Yang; Xinglin Pan; Irwin King; Zenglin Xu (ICONIP (5), 2023)

CP-Decomposition Based Federated Learning with Shapley Value Aggregation. - Chengqian Wu; Xuemei Fu; Xiangli Yang; Ruonan Zhao; Qidong Wu; Tinghua Zhang (ICPADS, 2023)

Self-Supervised Dense Depth Estimation with Panoramic Image and Sparse Lidar. - Chenwei Lyu; Huai Yu; Zhipeng Zhao 001; Pengliang Ji; Xiangli Yang; Wen Yang 001 (IGARSS, 2023)

Cross-Modal 2D-3D Localization with Single-Modal Query. - Zhipeng Zhao 001; Huai Yu; Chenwei Lyu; Pengliang Ji; Xiangli Yang; Wen Yang 001 (IGARSS, 2023)

Tensor Networks Meet Neural Networks: A Survey. - Maolin Wang 001; Yu Pan 005; Xiangli Yang; Guangxi Li; Zenglin Xu (CoRR, 2023)

A belief logarithmic similarity measure based on Dempster-Shafer theory and its application in multi-source data fusion. - Haojian Huang; Zhe Liu 041; Xue Han; Xiangli Yang; Lusi Liu (J. Intell. Fuzzy Syst., 2023)

Bayesian Tensor Completion for Network Traffic Data Prediction. - Zecan Yang; Laurence T. Yang; Huaimin Wang; Bocheng Ren; Xiangli Yang (IEEE Netw., 2023)

A Survey on Deep Semi-Supervised Learning. - Xiangli Yang; Zixing Song; Irwin King; Zenglin Xu (IEEE Trans. Knowl. Data Eng., 2023)

Graph-Based Semi-Supervised Learning: A Comprehensive Review. - Zixing Song; Xiangli Yang; Zenglin Xu; Irwin King (IEEE Trans. Neural Networks Learn. Syst., 2023)

Monitoring Surface Subsidence Using Time Series InSAR Technology and Sentinel-1 Data in Hunshandake Sandy Land. - Xian Gao; Hongcong Yang; Xiangli Yang; Xinlong Liu; Pingping Huang; Weixian Tan; Zhiguo Wang (IGARSS, 2024)

A Systematic Survey on Federated Semi-supervised Learning. - Zixing Song; Xiangli Yang; Yifei Zhang; Xinyu Fu 004; Zenglin Xu; Irwin King (IJCAI, 2024)

Enhancing robustness of data-driven SHM models: adversarial training with circle loss. - Xiangli Yang; Xijie Deng; Hanwei Zhang 001; Yang Zou; Jianxi Yang (CoRR, 2024)

Ratio-Based Multitemporal SAR Image Despeckling With Low-Rank Approximation. - Yalin Liang; Xiangli Yang; Weixian Tan; Zhiguo Wang; Pingping Huang; Jianxi Yang (IEEE Geosci. Remote. Sens. Lett., 2024)

An Efficient Tensor-Based Transformer for Industrial Internet of Things. - Debin Liu; Laurence T. Yang; Ruonan Zhao; Jinhua Cui 001; Xiangli Yang (IEEE Trans. Netw. Sci. Eng., 2024)

A Searchable Symmetric Encryption-Based Privacy Protection Scheme for Cloud-Assisted Mobile Crowdsourcing. - Xuemei Fu; Laurence T. Yang; Jie Li; Xiangli Yang; Zecan Yang (IEEE Internet Things J., 2024)

Remote Sensing Monitoring of Grassland Locust Density Based on Machine Learning. - Qiang Du; Zhiguo Wang; Pingping Huang; Yongguang Zhai; Xiangli Yang; Shuai Ma (Sensors, 2024)

Inversion Method for Chlorophyll-a Concentration in High-Salinity Water Based on Hyperspectral Remote Sensing Data. - Nan Wang; Zhiguo Wang; Pingping Huang; Yongguang Zhai; Xiangli Yang; Jianyu Su (Sensors, 2024)

A Two-Component Polarimetric Target Decomposition Algorithm with Grassland Application. - Pingping Huang; Yalan Chen; Xiujuan Li; Weixian Tan; Yuejuan Chen; Xiangli Yang; Yifan Dong; Xiaoqi Lv; Baoyu Li (Remote. Sens., 2024)

Enhancing inference speed in reparameterized convolutional neural network for vibration-based damage detection. - Di Wang; Yuanming Lu; Xiangli Yang; Die Liu; Xianyi Yang; Jianxi Yang (Appl. Soft Comput., 2025)

Improved stochastic configuration network for bridge damage and anomaly detection using long-term monitoring data. - Jianxi Yang; Die Liu; Lu Zhao; Xiangli Yang; Ren Li; Shixin Jiang; Jianming Li (Inf. Sci., 2025)

A Three-Component Polarimetric Target Decomposition Algorithm for Grasslands. - Baokun Liu; Xiaoqi Lv; Xiujuan Li; Xiangli Yang; Pingping Huang; Weixian Tan; Yongguang Zhai; Yuejuan Chen; Kunpeng Xu 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

OD Traffic Maps Recovery for Web 3.0 by Network Tomography in Hankel Tensor Space. - Chao Wang 014; Jiuzhen Zeng; Laurence T. Yang; Xiangli Yang; Xianjun Deng; Hao Wang 003 (IEEE Trans. Netw. Sci. Eng., 2025)

Temporal Knowledge Extrapolation Based on Fine-Grained Tensor Graph Attention Network for Responsible AI. - Jing Yang 051; Chengxuan Huang; Xiangli Yang; Laurence T. Yang; Yuan Gao 031; Cong Liu 028 (IEEE Trans. Artif. Intell., 2025)

Tensor-Based Multi-Scale Correlation Anomaly Detection for AIoT-Enabled Consumer Applications. - Jiuzhen Zeng; Laurence T. Yang; Chao Wang 014; Xianjun Deng; Xiangli Yang (IEEE Trans. Consumer Electron., 2025)

Tensor-Empowered Lightweight Representations for Personalized Federated Learning in Heterogeneous 6G Networks. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Xiangli Yang; Meiqi Wang (IEEE Netw., 2025)

Lightweight Tensor-Enabled GRU for Trustworthy and Communication Efficient Federated Learning in Industrial IoT. - Ruonan Zhao; Laurence T. Yang; Debin Liu; Wanli Lu; Xiangli Yang (IEEE Trans. Ind. Informatics, 2025)