Jihong Ding

32 papers A* 4A 1B 3C 1Misc 1Journal 18Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Understanding collaborative programming dynamics: The role of prior knowledge, engagement and ICAP learning modes.
Int. J. Comput. Support. Collab. Learn.
Jihong Ding, Zhihao Fan, Huazhong Liu, James Slotta, Feng Ji, Kefeng Hu
2025 B conf
ASLM-Shard: Efficient Account Shuffling Based on Lightweight Migration in Sharded Blockchain.
SRDS
Shaojie Liu, Huazhong Liu, Jihong Ding, Xiaoxue Yin, Yonggu Wang, Lixin Gan
2025 A* conf
CPVis: Evidence-based Multimodal Learning Analytics for Evaluation in Collaborative Programming.
CHI
Gefei Zhang, Shenming Ji, Yicao Li, Jingwei Tang, Jihong Ding, Meng Xia, Guodao Sun, Ronghua Liang
2025 J jnl
CPVis: Evidence-based Multimodal Learning Analytics for Evaluation in Collaborative Programming.
CoRR
Gefei Zhang, Shenming Ji, Yicao Li, Jingwei Tang, Jihong Ding, Meng Xia, Guodao Sun, Ronghua Liang
2025 A* conf
Class Activation Values: Lucid and Faithful Visual Interpretations for CLIP-based Text-Image Retrievals.
SIGIR
Pengxu Chen, Huazhong Liu, Jihong Ding, Xinghao Huang, Shaojun Zou, Laurence Tianruo Yang
2025 J jnl
Cloud-Edge Collaborative Scalable Tucker-Based Tensor Computations for Ubiquitous Consumer Electronics Data.
IEEE Trans. Consumer Electron.
Huazhong Liu, Weiyuan Zhang, Ren Li, Yunfan Zhang, Jihong Ding, Guangshun Zhang, Hanning Zhang, Laurence T. Yang
2025 — conf
How Generative AI Impact Student Emotion and Engagement in Programming Tasks?
AIED (5)
Boxuan Ma, Liyuan Guo, Tianyuan Yang, Jihong Ding
2025 — conf
QSMT: Query-Shared Multimodal Transformer for Multimodal Sentiment Analysis.
PAKDD (3)
Huazhong Liu, Yuanhan Liu, Jihong Ding, Wenxuan Zhang
2025 J jnl
Tensor-based task allocation using multi-objective optimization in GECC environment.
Comput. Commun.
Huazhong Liu, Longtao Huang, Yuan Tian, Jihong Ding, Xiaoxue Yin, Guangshun Zhang
2025 J jnl
Tucker-Based High-Accuracy Multi-Modal Clustering for Social Information Network.
IEEE Trans. Big Data
Ren Li, Huazhong Liu, Xiaotong Zhou, Jiawei Wang, Jihong Ding, Laurence T. Yang, Hua Li, Yunfan Zhang
2024 A* conf
Holistic-CAM: Ultra-lucid and Sanity Preserving Visual Interpretation in Holistic Stage of CNNs.
ACM Multimedia
Pengxu Chen, Huazhong Liu, Jihong Ding, Jiawen Luo, Peng Tan, Laurence T. Yang
2024 B conf
Multi-view Negative-Free Contrastive Learning on Adaptive Graph Augmentation.
CCGrid
Xingyue Wang, Huazhong Liu, Jihong Ding, Peng Tan
2024 J jnl
MvTuckER: Multi-view knowledge graphs representation learning based on tensor tucker model.
Inf. Fusion
Hao Wang, Jing Yang, Laurence T. Yang, Yuan Gao, Jihong Ding, Xiaokang Zhou, Huazhong Liu
2024 J jnl
Tensor-Train-Based Incremental High Order Dominant Z-Eigen Decomposition for Multi-Modal Intelligent Transportation Prediction.
IEEE Trans. Intell. Transp. Syst.
Huazhong Liu, Yunfan Zhang, Jihong Ding, Hanning Zhang, Laurence T. Yang, Xiaokang Zhou
2024 J jnl
Time-aware multi-behavior graph network model for complex group behavior prediction.
Inf. Process. Manag.
Xiao Yu, Weimin Li, Cai Zhang, Jingchao Wang, Yan Zhao, Fangfang Liu, Quanke Pan, Huazhong Liu, Jihong Ding, Dehua Chen
2023 — conf
High-Order Faithful Interpretation Methods for Tensor-Based CNNs.
ISPA/BDCloud/SocialCom/SustainCom
Pengxu Chen, Huazhong Liu, Hanning Zhang, Jihong Ding, Yunfan Zhang, Dehua Chen
2023 J jnl
Tensor-Train-Based Multiuser Multivariate Multiorder Physical Markov Process Informed Multimodal Prediction for Industrial Trajectory Applications.
IEEE Trans. Ind. Informatics
Huazhong Liu, Jiawei Wang, Xiaoxue Yin, Jihong Ding, Laurence T. Yang, Tong Yao, Jing Yang, Yuan Gao
2023 B conf
Tensor-Train-based Lightweight Encryption in Federated Cloud Environments.
ICPADS
Jiangtao Ma, Yunfan Zhang, Huazhong Liu, Peng Tan, Jihong Ding, Qiao Pan
2021 J jnl
Tensor-Based Recurrent Neural Network and Multi-Modal Prediction With Its Applications in Traffic Network Management.
IEEE Trans. Netw. Serv. Manag.
Qing Wu, Zhe Jiang, Kewei Hong, Huazhong Liu, Laurence T. Yang, Jihong Ding
2021 J jnl
Tensor-Train-Based High-Order Dominant Eigen Decomposition for Multimodal Prediction Services.
IEEE Trans. Engineering Management
Huazhong Liu, Laurence Tianruo Yang, Jihong Ding, Yimu Guo, Stephen S. Yau
2021 J jnl
Tensor-Train-Based Higher Order Dominant Z-Eigen Decomposition for Multi-Modal Prediction and Its Cloud/Edge Implementation.
IEEE Trans. Netw. Sci. Eng.
Huazhong Liu, Laurence T. Yang, Tong Yao, Jihong Ding, Anyuan Deng
2020 J jnl
Multi-Dimensional Correlative Recommendation and Adaptive Clustering via Incremental Tensor Decomposition for Sustainable Smart Education.
IEEE Trans. Sustain. Comput.
Huazhong Liu, Jihong Ding, Laurence T. Yang, Yimu Guo, Xiaokang Wang, An-Yuan Deng
2020 J jnl
Multiuser Multivariate Multiorder Markov-Based Multimodal User Mobility Pattern Prediction.
IEEE Internet Things J.
Jihong Ding, Huazhong Liu, Laurence T. Yang, Tong Yao, Wuheng Zuo
2020 J jnl
Scalable Tensor-Train-Based Tensor Computations for Cyber-Physical-Social Big Data.
IEEE Trans. Comput. Soc. Syst.
Huazhong Liu, Laurence T. Yang, Jihong Ding, Yimu Guo, Xia Xie, Zhi-Jie Wang
2019 J jnl
Multivariate Multi-Order Markov Multi-Modal Prediction With Its Applications in Network Traffic Management.
IEEE Trans. Netw. Serv. Manag.
Huazhong Liu, Laurence T. Yang, Jinjun Chen, Minghao Ye, Jihong Ding, Liwei Kuang
2018 C conf
Digital Educational Resources Configuration Model and Mechanisms for K-12 in China.
ICCE
Jihong Ding, Huazhong Liu, Mengsha Wen, Wenzheng Yang, Bo Jiang
2015 J jnl
Construction of a digital learning environment based on cloud computing.
Br. J. Educ. Technol.
Jihong Ding, Caiping Xiong, Huazhong Liu
2004 J jnl
Orthographic case restoration using supervised learning without manual annotation.
Int. J. Artif. Intell. Tools
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
2003 A* conf
A Bootstrapping Approach to Named Entity Classification Using Successive Learners.
ACL
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
2003 A conf
A Case Restoration Approach to Named Entity Tagging in Degraded Documents.
ICDAR
Rohini K. Srihari, Cheng Niu, Wei Li, Jihong Ding
2003 — conf
Bootstrapping for Named Entity Tagging Using Concept-based Seeds.
HLT-NAACL
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari
2003 Misc conf
Orthographic Case Restoration Using Supervised Learning Without Manual Annotation.
FLAIRS
Cheng Niu, Wei Li, Jihong Ding, Rohini K. Srihari