A Bootstrapping Approach to Named Entity Classification Using Successive Learners. - Cheng Niu; Wei Li 003; Jihong Ding; Rohini K. Srihari (ACL, 2003)

A Case Restoration Approach to Named Entity Tagging in Degraded Documents. - Rohini K. Srihari; Cheng Niu; Wei Li 003; Jihong Ding (ICDAR, 2003)

Bootstrapping for Named Entity Tagging Using Concept-based Seeds. - Cheng Niu; Wei Li 003; Jihong Ding; Rohini K. Srihari (HLT-NAACL, 2003)

Orthographic case restoration using supervised learning without manual annotation. - Cheng Niu; Wei Li 003; Jihong Ding; Rohini K. Srihari (Int. J. Artif. Intell. Tools, 2004)

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

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)

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)

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)

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)

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)

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 051; Laurence T. Yang; Yuan Gao 031; 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)

How Generative AI Impact Student Emotion and Engagement in Programming Tasks? - Boxuan Ma; Liyuan Guo; Tianyuan Yang; Jihong Ding (AIED (5), 2025)

CPVis: Evidence-based Multimodal Learning Analytics for Evaluation in Collaborative Programming. - Gefei Zhang; Shenming Ji; Yicao Li; Jingwei Tang; Jihong Ding; Meng Xia 002; Guodao Sun; Ronghua Liang (CHI, 2025)

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)