Spectral-Spatial Classification of Hyperspectral Image Using Extreme Learning Machine and Loopy Belief Propagation. - Faxian Cao; Zhijing Yang; Mengying Jiang; Weizhao Chen; Qiuliang Ye; Wing-Kuen Ling (iThings/GreenCom/CPSCom/SmartData, 2017)

Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image. - Faxian Cao; Zhijing Yang; Jinchang Ren; Mengying Jiang; Wing-Kuen Ling (CoRR, 2017)

Does Normalization Methods Play a Role for Hyperspectral Image Classification? - Faxian Cao; Zhijing Yang; Jinchang Ren; Mengying Jiang; Wing-Kuen Ling (CoRR, 2017)

Linear vs. Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Images. - Faxian Cao; Zhijing Yang; Jinchang Ren; Mengying Jiang; Wing-Kuen Ling (Sensors, 2017)

Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification. - Mengying Jiang; Faxian Cao; Yunmeng Lu (IEEE Access, 2018)

Random Subspace Ensemble With Enhanced Feature for Hyperspectral Image Classification. - Mengying Jiang; Yi Fang 005; Yuanchao Su; Guofa Cai; Guojun Han (IEEE Geosci. Remote. Sens. Lett., 2020)

R-GSN: The Relation-based Graph Similar Network for Heterogeneous Graph. - Xinliang Wu; Mengying Jiang; Guizhong Liu (CoRR, 2021)

SLGCN: Structure Learning Graph Convolutional Networks for Graphs under Heterophily. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Xinliang Wu (CoRR, 2021)

Chaotic Cuckoos Optimization with Graph Convolution Network for Hyperspectral Data Classification. - Jiangyi Chen; Yuanchao Su; Mengying Jiang; Chaoli Zhao; Bin Sun; Pengfei Li 010 (IGARSS, 2022)

Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images. - Yuanchao Su; Mengying Jiang; Lianru Gao; Xueer You; Xu Sun 005; Pengfei Li 010 (IGARSS, 2022)

Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. - Yuanchao Su; Mengying Jiang; Lianru Gao; Xu Sun 005; Xueer You; Pengfei Li 010 (IEEE Geosci. Remote. Sens. Lett., 2022)

Using Masked Language Modeling to Enhance BERT-Based Aspect-Based Sentiment Analysis for Affective Token Prediction. - Weiqiang Jin; Biao Zhao; Chenxing Liu; Heng Zhang; Mengying Jiang (ICANN (10), 2023)

Coupled Dense Convolutional Neural Networks with Autoencoder for Unsupervised Hyperspectral Super-Resolution. - Xin Lin; Yuanchao Su; Sheng Li; Mengying Jiang; Bin Pan; Pengfei Li 010; Jinying Bai; Feng Liu (ICIG (5), 2023)

Spectral-Spatial Hyperspectral Unmixing Using Double-Constraints Convolutional Autoencoder. - Zhiqing Zhu; Yuanchao Su; Mengying Jiang; Bin Pan; Jinying Bai; Pengfei Li 010 (WHISPERS, 2023)

Relation-aware subgraph embedding with co-contrastive learning for drug-drug interaction prediction. - Mengying Jiang; Guizhong Liu; Biao Zhao; Yuanchao Su; Weiqiang Jin (CoRR, 2023)

ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. - Yuanchao Su; Jiangyi Chen; Lianru Gao; Antonio Plaza; Mengying Jiang; Xiang Xu 002; Xu Sun 005; Pengfei Li 010 (IEEE Trans. Geosci. Remote. Sens., 2023)

NSCKL: Normalized Spectral Clustering With Kernel-Based Learning for Semisupervised Hyperspectral Image Classification. - Yuanchao Su; Lianru Gao; Mengying Jiang; Antonio Plaza; Xu Sun 005; Bing Zhang 001 (IEEE Trans. Cybern., 2023)

A Green Electricity Certificate Scheme Based on Blockchain. - Yang Li; Mengying Jiang; Mei Yu; Shouzhi Xu; Shurui Peng; Lingchu Zhao; Xiaotong Peng (FAIML, 2024)

MTSANet: Multi-Head Two-Stream Attention Networks for Unsupervised Hyperspectral Image Super-Resolution. - Jin Xu; Yuanchao Su; Lianru Gao; Xu Sun 005; Longfei Ren; Zhiqing Zhu; Mengying Jiang (IGARSS, 2024)

DisCo-FEND: Social Context Veracity Dissemination Consistency-Guided Case Reasoning for Few-Shot Fake News Detection. - Weiqiang Jin; Ningwei Wang; Tao Tao; Mengying Jiang; Xiaotian Wang; Biao Zhao; Hao Wu; Haibin Duan; Guang Yang 006 (WISE (5), 2024)

Self-attention empowered graph convolutional network for structure learning and node embedding. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Xinliang Wu (Pattern Recognit., 2024)

GraphGST: Graph Generative Structure-Aware Transformer for Hyperspectral Image Classification. - Mengying Jiang; Yuanchao Su; Lianru Gao; Antonio Plaza; Xi-Le Zhao; Xu Sun 005; Guizhong Liu (IEEE Trans. Geosci. Remote. Sens., 2024)

Relation-aware graph structure embedding with co-contrastive learning for drug-drug interaction prediction. - Mengying Jiang; Guizhong Liu; Biao Zhao; Yuanchao Su; Weiqiang Jin (Neurocomputing, 2024)

Intuitionistic fuzzy broad learning system with a new non-membership function. - Mengying Jiang; Huisheng Zhang; Yuxuan Liu (Neural Comput. Appl., 2024)

Effectiveness of spatial measurement model based on SDM-STIRPAT in measuring carbon emissions from transportation facilities. - Guozhi Li; Yidan Yuan; Xunuo Chen; Dandan Fu; Mengying Jiang (Energy Inform., 2024)

Supporting learning in synchronous collaborative game design in virtual worlds: A synergy between technological and pedagogical considerations. - Yu Xia; Shulong Yan; Mengying Jiang; Zipporah Brown (Comput. Educ. X Real., 2025)

A prompting multi-task learning-based veracity dissemination consistency reasoning augmentation for few-shot fake news detection. - Weiqiang Jin; Ningwei Wang; Tao Tao; Mengying Jiang; Yebei Xing; Biao Zhao; Hao Wu; Haibin Duan; Guang Yang 006 (Eng. Appl. Artif. Intell., 2025)

DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution. - Sheng Li; Yuanchao Su; Xu Sun 005; Jiaxin Li; Boyan Li; Jianjian Gao; Xiaohua Feng; Mengying Jiang (IEEE Geosci. Remote. Sens. Lett., 2025)

Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions. - Mengying Jiang; Guizhong Liu; Yuanchao Su; Weiqiang Jin; Biao Zhao (IEEE Trans. Big Data, 2025)

Can Rumor Detection Enhance Fact Verification? Unraveling Cross-Task Synergies Between Rumor Detection and Fact Verification. - Weiqiang Jin; Mengying Jiang; Tao Tao; Hao Zhou 038; Xiaotian Wang; Biao Zhao; Guang Yang 006 (IEEE Trans. Big Data, 2025)