Metadata Extraction Approach of PDF Documents Based on Measurement Fusion. - Junmin Zhao; Huazhong Liu (J. Multim., 2013)

Construction of a digital learning environment based on cloud computing. - Jihong Ding; Caiping Xiong; Huazhong Liu (Br. J. Educ. Technol., 2015)

NextMe: Localization Using Cellular Traces in Internet of Things. - Daqiang Zhang 001; Shengjie Zhao 001; Laurence T. Yang; Min Chen 003; Yunsheng Wang; Huazhong Liu (IEEE Trans. Ind. Informatics, 2015)

Digital Educational Resources Configuration Model and Mechanisms for K-12 in China. - Jihong Ding; Huazhong Liu; Mengsha Wen; Wenzheng Yang; Bo Jiang (ICCE, 2018)

Modeling of Multilayer Graphene at Terahertz with Vector Fitting Method. - Quanquan Wang; You Shi; Huazhong Liu (ICSAI, 2018)

A Tensor-Based Holistic Edge Computing Optimization Framework for Internet of Things. - Huazhong Liu; Laurence T. Yang; Man Lin; Dexiang Yin; Yimu Guo (IEEE Netw., 2018)

Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers. - Huazhong Liu; Baoshun Liu; Laurence T. Yang; Man Lin; Yuhui Deng; Kashif Bilal; Samee U. Khan (IEEE Trans. Big Data, 2018)

A Big Data-as-a-Service Framework: State-of-the-Art and Perspectives. - Xiaokang Wang 001; Laurence T. Yang; Huazhong Liu; M. Jamal Deen (IEEE Trans. Big Data, 2018)

A Solution for High Availability Memory Access. - Chunjing Gan; Bin Wang 015; Zhi-Jie Wang 009; Huazhong Liu; Dingyu Yang; Jian Yin 001; Shiyou Qian; Song Guo 001 (ICA3PP (1), 2019)

Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management. - Huazhong Liu; Laurence T. Yang; Jinjun Chen; Minghao Ye; Jihong Ding; Liwei Kuang (IEEE Trans. Netw. Serv. Manag., 2019)

A Holistic Optimization Framework for Mobile Cloud Task Scheduling. - Huazhong Liu; Jie Pu; Laurence T. Yang; Man Lin; Dexiang Yin; Yimu Guo; Xingyu Chen (IEEE Trans. Sustain. Comput., 2019)

Multiuser Multivariate Multiorder Markov-Based Multimodal User Mobility Pattern Prediction. - Jihong Ding; Huazhong Liu; Laurence T. Yang; Tong Yao; Wuheng Zuo (IEEE Internet Things J., 2020)

Scalable Tensor-Train-Based Tensor Computations for Cyber-Physical-Social Big Data. - Huazhong Liu; Laurence T. Yang; Jihong Ding; Yimu Guo; Xia Xie; Zhi-Jie Wang 009 (IEEE Trans. Comput. Soc. Syst., 2020)

Multi-Dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education. - Huazhong Liu; Jihong Ding; Laurence T. Yang; Yimu Guo; Xiaokang Wang 001; An-Yuan Deng (IEEE Trans. Sustain. Comput., 2020)

Message from the GPC 2021 Program Chairs. - Xiaojuan Ban; Huazhong Liu; Klimis S. Ntalianis (HPCC/DSS/SmartCity/DependSys, 2021)

An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data. - Huazhong Liu; Laurence T. Yang; Yimu Guo; Xia Xie; Jianhua Ma 002 (IEEE Trans. Big Data, 2021)

Tensor-Train-Based High-Order Dominant Eigen Decomposition for Multimodal Prediction Services. - Huazhong Liu; Laurence Tianruo Yang; Jihong Ding; Yimu Guo; Stephen S. Yau (IEEE Trans. Engineering Management, 2021)

Tensor-Train-Based Higher Order Dominant Z-Eigen Decomposition for Multi-Modal Prediction and Its Cloud/Edge Implementation. - Huazhong Liu; Laurence T. Yang; Tong Yao; Jihong Ding; Anyuan Deng (IEEE Trans. Netw. Sci. Eng., 2021)

Tensor-Based Recurrent Neural Network and Multi-Modal Prediction With Its Applications in Traffic Network Management. - Qing Wu 008; Zhe Jiang; Kewei Hong; Huazhong Liu; Laurence T. Yang; Jihong Ding (IEEE Trans. Netw. Serv. Manag., 2021)

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

High-Order Faithful Interpretation Methods for Tensor-Based CNNs. - Pengxu Chen; Huazhong Liu; Hanning Zhang; Jihong Ding; Yunfan Zhang; Dehua Chen (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Tensor-Train-based Lightweight Encryption in Federated Cloud Environments. - Jiangtao Ma; Yunfan Zhang; Huazhong Liu; Peng Tan; Jihong Ding; Qiao Pan (ICPADS, 2023)

DEDF: An Enhanced Differential Evolution Algorithm with Dynamic-selection Framework in IIOT. - Zhou Zhou 001; Fangmin Li; Huazhong Liu (ICPADS, 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 (IEEE Trans. Ind. Informatics, 2023)

Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation. - Xingyue Wang; Huazhong Liu; Jihong Ding; Peng Tan (CCGrid, 2024)

Holistic-CAM: Ultra-lucid and Sanity Preserving Visual Interpretation in Holistic Stage of CNNs. - Pengxu Chen; Huazhong Liu; Jihong Ding; Jiawen Luo; Peng Tan; Laurence T. Yang (ACM Multimedia, 2024)

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

Time-aware multi-behavior graph network model for complex group behavior prediction. - Xiao Yu; Weimin Li 001; Cai Zhang; Jingchao Wang 001; Yan Zhao; Fangfang Liu; Quanke Pan; Huazhong Liu; Jihong Ding; Dehua Chen (Inf. Process. Manag., 2024)

Tensor-Train-Based Incremental High Order Dominant Z-Eigen Decomposition for Multi-Modal Intelligent Transportation Prediction. - Huazhong Liu; Yunfan Zhang; Jihong Ding; Hanning Zhang; Laurence T. Yang; Xiaokang Zhou (IEEE Trans. Intell. Transp. Syst., 2024)

QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis. - Huazhong Liu; Yuanhan Liu; Jihong Ding; Wenxuan Zhang (PAKDD (3), 2025)

Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image Retrievals. - Pengxu Chen; Huazhong Liu; Jihong Ding; Xinghao Huang; Shaojun Zou; Laurence Tianruo Yang (SIGIR, 2025)

Cloud-Edge Collaborative Scalable Tucker-Based Tensor Computations for Ubiquitous Consumer Electronics Data. - Huazhong Liu; Weiyuan Zhang; Ren Li; Yunfan Zhang; Jihong Ding; Guangshun Zhang; Hanning Zhang; Laurence T. Yang (IEEE Trans. Consumer Electron., 2025)

Tucker-Based High-Accuracy Multi-Modal Clustering for Social Information Network. - Ren Li; Huazhong Liu; Xiaotong Zhou; Jiawei Wang; Jihong Ding; Laurence T. Yang; Hua Li 012; Yunfan Zhang (IEEE Trans. Big Data, 2025)