Jihong Ding

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 13

Top Topics

Top Venues

IEEE Trans. Netw. Serv. Manag.

IEEE Trans. Engineering Management

Inf. Process. Manag.

IEEE Internet Things J.

Publications

Hao Wang, Jing Yang, Laurence T. Yang, Yuan Gao, Jihong Ding, Xiaokang Zhou, Huazhong Liu
MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model. Inf. Fusion 106 (2024)
Huazhong Liu, Yunfan Zhang, Jihong Ding, Hanning Zhang, Laurence T. Yang, Xiaokang Zhou
Tensor-Train-Based Incremental High Order Dominant Z-Eigen Decomposition for Multi-Modal Intelligent Transportation Prediction. IEEE Trans. Intell. Transp. Syst. 25 (3) (2024)
Xiao Yu, Weimin Li, Cai Zhang, Jingchao Wang, Yan Zhao, Fangfang Liu, Quanke Pan, Huazhong Liu, Jihong Ding, Dehua Chen
Time-aware multi-behavior graph network model for complex group behavior prediction. Inf. Process. Manag. 61 (2) (2024)
Jiangtao Ma, Yunfan Zhang, Huazhong Liu, Peng Tan, Jihong Ding, Qiao Pan
Tensor-Train-based Lightweight Encryption in Federated Cloud Environments. ICPADS (2023)
Huazhong Liu, Jiawei Wang, Xiaoxue Yin, Jihong Ding, Laurence T. Yang, Tong Yao, Jing Yang, Yuan Gao
Tensor-Train-Based Multiuser Multivariate Multiorder Physical Markov Process Informed Multimodal Prediction for Industrial Trajectory Applications. IEEE Trans. Ind. Informatics 19 (8) (2023)
Pengxu Chen, Huazhong Liu, Hanning Zhang, Jihong Ding, Yunfan Zhang, Dehua Chen
High-Order Faithful Interpretation Methods for Tensor-Based CNNs. ISPA/BDCloud/SocialCom/SustainCom (2023)
Qing Wu, Zhe Jiang, Kewei Hong, Huazhong Liu, Laurence T. Yang, Jihong Ding
Tensor-Based Recurrent Neural Network and Multi-Modal Prediction With Its Applications in Traffic Network Management. IEEE Trans. Netw. Serv. Manag. 18 (1) (2021)
Huazhong Liu, Laurence T. Yang, Tong Yao, Jihong Ding, Anyuan Deng
Tensor-Train-Based Higher Order Dominant Z-Eigen Decomposition for Multi-Modal Prediction and Its Cloud/Edge Implementation. IEEE Trans. Netw. Sci. Eng. 8 (2) (2021)
Huazhong Liu, Laurence Tianruo Yang, Jihong Ding, Yimu Guo, Stephen S. Yau
Tensor-Train-Based High-Order Dominant Eigen Decomposition for Multimodal Prediction Services. IEEE Trans. Engineering Management 68 (1) (2021)
Huazhong Liu, Laurence T. Yang, Jihong Ding, Yimu Guo, Xia Xie, Zhi-Jie Wang
Scalable Tensor-Train-Based Tensor Computations for Cyber-Physical-Social Big Data. IEEE Trans. Comput. Soc. Syst. 7 (4) (2020)
Huazhong Liu, Jihong Ding, Laurence T. Yang, Yimu Guo, Xiaokang Wang, An-Yuan Deng
Multi-Dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education. IEEE Trans. Sustain. Comput. 5 (3) (2020)
Jihong Ding, Huazhong Liu, Laurence T. Yang, Tong Yao, Wuheng Zuo
Multiuser Multivariate Multiorder Markov-Based Multimodal User Mobility Pattern Prediction. IEEE Internet Things J. 7 (5) (2020)
Huazhong Liu, Laurence T. Yang, Jinjun Chen, Minghao Ye, Jihong Ding, Liwei Kuang
Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management. IEEE Trans. Netw. Serv. Manag. 16 (3) (2019)
Jihong Ding, Caiping Xiong, Huazhong Liu
Construction of a digital learning environment based on cloud computing. Br. J. Educ. Technol. 46 (6) (2015)
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
Orthographic case restoration using supervised learning without manual annotation. Int. J. Artif. Intell. Tools 13 (1) (2004)
Rohini K. Srihari, Cheng Niu, Wei Li, Jihong Ding
A Case Restoration Approach to Named Entity Tagging in Degraded Documents. ICDAR (2003)
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation. FLAIRS Conference (2003)
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
Bootstrapping for Named Entity Tagging Using Concept-based Seeds. HLT-NAACL (2003)
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
A Bootstrapping Approach to Named Entity Classification Using Successive Learners. ACL (2003)