Quantized Tensor Neural Network. - Yuan Gao 031; Laurence T. Yang; Dehua Zheng; Jing Yang 051; Yaliang Zhao (Trans. Data Sci., 2021)

Federated Tensor Decomposition-Based Feature Extraction Approach for Industrial IoT. - Yuan Gao 031; Guangming Zhang; Chunchun Zhang; Jinke Wang; Laurence T. Yang; Yaliang Zhao (IEEE Trans. Ind. Informatics, 2021)

Tensor Graph Attention Network for Knowledge Reasoning in Internet of Things. - Jing Yang 051; Laurence T. Yang; Hao Wang 003; Yuan Gao 031; Huazhong Liu; Xia Xie (IEEE Internet Things J., 2022)

An Incremental Boolean Tensor Factorization for Knowledge Reasoning in Artificial Intelligence of Things. - Jing Yang 051; Laurence Tianruo Yang; Yuan Gao 031; Huazhong Liu; Xia Xie (IEEE Trans. Ind. Informatics, 2022)

Feature Extraction of High-dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems. - Yuan Gao 031; Laurence T. Yang; Yaliang Zhao; Jing Yang 051 (ACM Trans. Manag. Inf. Syst., 2022)

MFFN: Multi-view Feature Fusion Network for Camouflaged Object Detection. - Dehua Zheng; Xiaochen Zheng; Laurence T. Yang; Yuan Gao 031; Chenlu Zhu; Yiheng Ruan (WACV, 2023)

Representation learning for knowledge fusion and reasoning in Cyber-Physical-Social Systems: Survey and perspectives. - Jing Yang 051; Laurence T. Yang; Hao Wang 003; Yuan Gao 031; Yaliang Zhao; Xia Xie; Yan Lu (Inf. Fusion, 2023)

Jointly Low-Rank Tensor Completion for Estimating Missing Spatiotemporal Values in Logistics Systems. - Yuan Gao 031; Laurence T. Yang; Jing Yang 051; Dehua Zheng; Yaliang Zhao (IEEE Trans. Ind. Informatics, 2023)

Multirelational Tensor Graph Attention Networks for Knowledge Fusion in Smart Enterprise Systems. - Jing Yang 051; Laurence Tianruo Yang; Hao Wang 003; Yuan Gao 031 (IEEE Trans. Ind. Informatics, 2023)

Attention U-Net Based on Bi-ConvLSTM and Its Optimization for Smart Healthcare. - Yuan Gao 031; Laurence T. Yang; Jing Yang 051; Hao Wang 003; Yaliang Zhao (IEEE Trans. Comput. Soc. Syst., 2023)

Tensor-Train-Based Multiuser Multivariate Multiorder Physical Markov Process Informed Multimodal Prediction for Industrial Trajectory Applications. - Huazhong Liu; Jiawei Wang; Xiaoxue Yin; Jihong Ding; Laurence T. Yang; Tong Yao; Jing Yang 051; Yuan Gao 031 (IEEE Trans. Ind. Informatics, 2023)

Generalize to Fully Unseen Graphs: Learn Transferable Hyper-Relation Structures for Inductive Link Prediction. - Jing Yang 051; Xiaowen Jiang; Yuan Gao 031; Laurence T. Yang; Jieming Yang (ACM Multimedia, 2024)

Multimodal Contextual Interactions of Entities: A Modality Circular Fusion Approach for Link Prediction. - Jing Yang 051; Shundong Yang; Yuan Gao 031; Jieming Yang; Laurence T. Yang (ACM Multimedia, 2024)

MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model. - Hao Wang 003; Jing Yang 051; Laurence T. Yang; Yuan Gao 031; Jihong Ding; Xiaokang Zhou; Huazhong Liu (Inf. Fusion, 2024)

Temporal Interaction Embedding for Link Prediction in Global News Event Graph. - Jing Yang 051; Laurence T. Yang; Hao Wang 003; Yuan Gao 031 (IEEE Trans. Comput. Soc. Syst., 2024)

From Knowledge Forgetting to Accumulation: Evolutionary Relation Path Passing for Lifelong Knowledge Graph Embedding. - Jing Yang 051; Xinfa Jiang; Xiaowen Jiang; Yuan Gao 031; Laurence T. Yang; Shaojun Zou; Shundong Yang (SIGIR, 2025)

Towards Multimodal Inductive Learning: Adaptively Embedding MMKG via Prototypes. - Shundong Yang; Jing Yang 051; Xiaowen Jiang; Yuan Gao 031; Laurence T. Yang; Ruikun Luo; Jieming Yang (WWW, 2025)

Tensor Representation-Based Multiview Graph Contrastive Learning for IoE Intelligence. - Yuan Gao 031; Qian Zhao; Laurence T. Yang; Jing Yang 051; Jieming Yang (IEEE Internet Things J., 2025)

Learning Schema Embeddings for Service Link Prediction: A Coupled Matrix-Tensor Factorization Approach. - Jing Yang 051; Xiaofen Wang; Laurence T. Yang; Yuan Gao 031; Shundong Yang; Xiaokang Wang 001 (IEEE Trans. Serv. Comput., 2025)

Edge Data Deduplication Under Uncertainties: A Robust Optimization Approach. - Ruikun Luo; Qiang He 001; Mengxi Xu; Feifei Chen 001; Song Wu 001; Jing Yang 051; Yuan Gao 031; Hai Jin 001 (IEEE Trans. Parallel Distributed Syst., 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-Representation-Based Multiview Attributed Graph Clustering With Smooth Structure. - Yuan Gao 031; Qian Zhao; Laurence T. Yang; Jing Yang 051; Lei Ren 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)