Jihong Ding

According to our database, Jihong Ding authored at least 20 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., March, 2024

Time-aware multi-behavior graph network model for complex group behavior prediction.

Xiao Yu, Weimin Li, Cai Zhang, Jingchao Wang, Yan Zhao, Fangfang Liu, Quanke Pan, Huazhong Liu, Jihong Ding, Dehua Chen

Inf. Process. Manag., March, 2024

MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model.

Hao Wang, Jing Yang, Laurence T. Yang, Yuan Gao, Jihong Ding, Xiaokang Zhou, Huazhong Liu

Inf. Fusion, 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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation.

Xingyue Wang, Huazhong Liu, Jihong Ding, Peng Tan

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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, Yuan Gao

IEEE Trans. Ind. Informatics, August, 2023

Tensor-Train-based Lightweight Encryption in Federated Cloud Environments.

Jiangtao Ma, Yunfan Zhang, Huazhong Liu, Peng Tan, Jihong Ding, Qiao Pan

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

High-Order Faithful Interpretation Methods for Tensor-Based CNNs.

Pengxu Chen, Huazhong Liu, Hanning Zhang, Jihong Ding, Yunfan Zhang, Dehua Chen

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2021

Tensor-Based Recurrent Neural Network and Multi-Modal Prediction With Its Applications in Traffic Network Management.

Qing Wu, Zhe Jiang, Kewei Hong, Huazhong Liu, Laurence T. Yang, Jihong Ding

IEEE Trans. Netw. Serv. Manag., 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-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

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, An-Yuan Deng

IEEE Trans. Sustain. Comput., 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

IEEE Trans. Comput. Soc. Syst., 2020

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

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

2015

Construction of a digital learning environment based on cloud computing.

Jihong Ding, Caiping Xiong, Huazhong Liu

Br. J. Educ. Technol., 2015

2004

Orthographic case restoration using supervised learning without manual annotation.

Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari

Int. J. Artif. Intell. Tools, 2004

2003

Bootstrapping for Named Entity Tagging Using Concept-based Seeds.

Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

A Case Restoration Approach to Named Entity Tagging in Degraded Documents.

Rohini K. Srihari, Cheng Niu, Wei Li, Jihong Ding

Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

A Bootstrapping Approach to Named Entity Classification Using Successive Learners.

Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari

Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003