Changqin Huang

Orcid: 0000-0003-1371-2608

According to our database1, Changqin Huang authored at least 160 papers between 2003 and 2026.

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Bibliography

2026
Understanding learners' collaborative reflection in an online learning community: a consideration of cognitive and social interactions.
Educ. Inf. Technol., April, 2026

CuGNN: Cross-perspective contrastive learning for enhancing unsupervised GNNs beyond homophily.
Int. J. Mach. Learn. Cybern., March, 2026

An Explicit-Thinking LLM-Based Cognitive Apprenticeship Approach to Promote Students' Metacognition, Higher Order Thinking Skills, and Learning Performance.
IEEE Trans. Learn. Technol., 2026

UCMIB-PNS: Balancing Sufficiency and Necessity With Probabilistic Causality and Cross-Modal Uncertainty in Multimodal Sentiment Analysis.
IEEE Trans. Affect. Comput., 2026

Multi-label feature selection based on binary hashing learning and dynamic graph constraints.
Pattern Recognit., 2026

Beyond homophily: Adaptive cross-frequency convolution for hypergraph learning.
Knowl. Based Syst., 2026

DisenKT: A variational attention-based approach for disentangled cross-domain knowledge tracing.
Inf. Process. Manag., 2026

FWHSR: An unsupervised feature selection framework via feature-weighted hypergraph and clustering similarity self-representation.
Neurocomputing, 2026

Adaptive cleaning and correlation-driven graph anomaly detection.
Neurocomputing, 2026

Mapping the structure of student burnout in online learning: An integrated Gaussian model and directed acyclic graph approach.
Internet High. Educ., 2026

CaReKGC: A causal-guided structural reasoning framework for LLM-based knowledge graph completion.
Expert Syst. Appl., 2026

NEXPRO: Multimodal negative expression prompting for open-set video-based facial expression recognition.
Expert Syst. Appl., 2026

Context-aware latent space mediation for inference-time unbiased semantic alignment in text-to-image models.
Expert Syst. Appl., 2026

Prompting multimodal vision-language models for automated student engagement prediction.
Eng. Appl. Artif. Intell., 2026

Multi-label feature selection via binary label subspace learning and hypergraph constraints.
Eng. Appl. Artif. Intell., 2026

Beyond symptoms: Latent profiles of student burnout and their social-cognitive associations in online learning.
Comput. Hum. Behav., 2026

CEBP-HG: Hypergraph-regularized multi-subspace ensemble learning for robust unsupervised feature selection.
Appl. Soft Comput., 2026

Exploiting All Mamba Fusion for Efficient RGB-D Tracking.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Actual Cause-Guided Adaptive Gradient Scaling for Balanced Multimodal Sentiment Analysis.
ACM Trans. Multim. Comput. Commun. Appl., June, 2025

SODSR: A Three-Stage Small Object Detection via Super-Resolution Using Optimizing Combination.
IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Correlation Information Enhanced Graph Anomaly Detection via Hypergraph Transformation.
IEEE Trans. Cybern., June, 2025

Predicting student burnout in blended environments: a complementary PLS-SEM and machine learning approach.
Interact. Learn. Environ., March, 2025

PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis.
Int. J. Multim. Inf. Retr., March, 2025

Out-of-Distribution Detection on Graphs: A Survey.
CoRR, February, 2025

Modeling Fine-Grained Relations in Dynamic Space-Time Graphs for Video-Based Facial Expression Recognition.
IEEE Trans. Affect. Comput., 2025

FrameERC: Framelet Transform Based Multimodal Graph Neural Networks for Emotion Recognition in Conversation.
Pattern Recognit., 2025

A feature reuse framework with texture-adaptive aggregation for reference-based super-resolution.
Knowl. Based Syst., 2025

Structural-temporal mining for motif-level anomaly detection in dynamic graphs.
Knowl. Based Syst., 2025

Multi-label feature selection via exploring reliable instance similarities.
Knowl. Based Syst., 2025

Customising a Three-Stage Fade-Out Scaffolding for Collaborative Programming Learning: Effects on Programming Achievement, Self-Efficacy and Programming Behaviour.
J. Comput. Assist. Learn., 2025

AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis.
Inf. Fusion, 2025

Remote sensing scene classification with relation-aware dynamic graph neural networks.
Eng. Appl. Artif. Intell., 2025

$$\text {H}^2\text {CAN}$$: heterogeneous hypergraph attention network with counterfactual learning for multimodal sentiment analysis.
Complex Intell. Syst., 2025

How does social support detected automatically in discussion forums relate to online learning burnout? The moderating role of students' self-regulated learning.
Comput. Educ., 2025

Identifying students' metacognition patterns by their needs for cognitive closure in human-GenAI collaboration.
Comput. Educ., 2025

Cross-Domain Graph Anomaly Detection via Graph Transfer and Graph Decouple.
CAAI Trans. Intell. Technol., 2025

All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

A Humanoid Robot-Assisted Collaborative Programming Approach to Improving Middle School Students' Computational Thinking, Learning Motivation and Interaction.
Proceedings of the Blended Learning. Sustainable and Flexible Smart Learning, 2025

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation.
IEEE Trans. Big Data, December, 2024

XKT: Toward Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts.
IEEE Trans. Knowl. Data Eng., November, 2024

Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily.
IEEE Trans. Cybern., November, 2024

Text-centered cross-sample fusion network for multimodal sentiment analysis.
Multim. Syst., August, 2024

Uncovering emotion sequence patterns in different interaction groups using deep learning and sequential pattern mining.
J. Comput. Assist. Learn., August, 2024

Dual-Graph Attention Convolution Network for 3-D Point Cloud Classification.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

The incorporation of peer learning into MosoTeach-supported flipped language class: Effects on student motivation, participation, feedback and test performance.
J. Comput. Assist. Learn., April, 2024

Effective Knowledge Dissemination Modeling and Regulation in Blended Learning Networks.
IEEE Trans. Comput. Soc. Syst., February, 2024

Stable Knowledge Tracing Using Causal Inference.
IEEE Trans. Learn. Technol., 2024

ChatPRCS: A Personalized Support System for English Reading Comprehension Based on ChatGPT.
IEEE Trans. Learn. Technol., 2024

A Systematic Review of Research on Immersive Technology-Enhanced Writing Education: The Current State and a Research Agenda.
IEEE Trans. Learn. Technol., 2024

AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs.
Pattern Recognit., 2024

EduCross: Dual adversarial bipartite hypergraph learning for cross-modal retrieval in multimodal educational slides.
Inf. Fusion, 2024

Learning consistent representations with temporal and causal enhancement for knowledge tracing.
Expert Syst. Appl., 2024

2023
A Framework for Constructing a Technology -Enhanced Education Metaverse: Learner Engagement With Human-Machine Collaboration.
IEEE Trans. Learn. Technol., December, 2023

Examining the relationship between peer feedback classified by deep learning and online learning burnout.
Comput. Educ., December, 2023

Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks.
Inf. Sci., November, 2023

From motivational experience to creative writing: A motivational AR-based learning approach to promoting Chinese writing performance and positive writing behaviours.
Comput. Educ., September, 2023

FER-CHC: Facial expression recognition with cross-hierarchy contrast.
Appl. Soft Comput., September, 2023

Are Graph Convolutional Networks With Random Weights Feasible?
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis.
Knowl. Based Syst., 2023

DFMKE: A dual fusion multi-modal knowledge graph embedding framework for entity alignment.
Inf. Fusion, 2023

A Feature Reuse Framework with Texture-adaptive Aggregation for Reference-based Super-Resolution.
CoRR, 2023

AdaMoW: Multimodal Sentiment Analysis Based on Adaptive Modality-Specific Weight Fusion Network.
IEEE Access, 2023

Personalized Learning Made Simple: A Deep Knowledge Tracing Model for Individual Cognitive Development.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

Modular Joint Training for Speech-Driven 3D Facial Animation.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

2022
Multiview Spectral Clustering via Robust Subspace Segmentation.
IEEE Trans. Cybern., 2022

Hope: heatmap and offset for pose estimation.
J. Ambient Intell. Humaniz. Comput., 2022

SGKT: Session graph-based knowledge tracing for student performance prediction.
Expert Syst. Appl., 2022

Investigating students' emotional self-efficacy profiles and their relations to self-regulation, motivation, and academic performance in online learning contexts: A person-centered approach.
Educ. Inf. Technol., 2022

Optimizing Evaluation Metrics for Multi-Task Learning via the Alternating Direction Method of Multipliers.
CoRR, 2022

Promoting deep writing with immersive technologies: An SVVR-supported Chinese composition writing approach for primary schools.
Br. J. Educ. Technol., 2022

GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network.
Appl. Intell., 2022

2021
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A parallel joint optimized relay selection protocol for wake-up radio enabled WSNs.
Phys. Commun., 2021

Stochastic configuration network ensembles with selective base models.
Neural Networks, 2021

Fine-grained learning performance prediction via adaptive sparse self-attention networks.
Inf. Sci., 2021

Facial expression recognition with grid-wise attention and visual transformer.
Inf. Sci., 2021

Identifying patterns of epistemic emotions with respect to interactions in massive online open courses using deep learning and social network analysis.
Comput. Hum. Behav., 2021

Applying an Intelligent Learning Partner in Teacher Education for Improving CT-Related TPACK.
Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021

2020
A review on sentiment discovery and analysis of educational big-data.
WIREs Data Mining Knowl. Discov., 2020

Stochastic Configuration Networks Based Adaptive Storage Replica Management for Power Big Data Processing.
IEEE Trans. Ind. Informatics, 2020

Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement.
Telematics Informatics, 2020

Exam paper generation based on performance prediction of student group.
Inf. Sci., 2020

On the Approximation Lower Bound for Neural Nets with Random Weights.
CoRR, 2020

Sentiment Evolutions in Blended Learning Contexts: Investigating Dynamic Interactions Using Simulation Investigation for Empirical Social Network Analysis.
Proceedings of the Blended Learning. Education in a Smart Learning Environment, 2020

Learning from Interpretable Analysis: Attention-Based Knowledge Tracing.
Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019
Clothing Landmark Detection Using Deep Networks With Prior of Key Point Associations.
IEEE Trans. Cybern., 2019

Multi-modal multi-concept-based deep neural network for automatic image annotation.
Multim. Tools Appl., 2019

An efficient automatic multiple objectives optimization feature selection strategy for internet text classification.
Int. J. Mach. Learn. Cybern., 2019

Enhancing semantic image retrieval with limited labeled examples via deep learning.
Knowl. Based Syst., 2019

Adaptive resource prefetching with spatial-temporal and topic information for educational cloud storage systems.
Knowl. Based Syst., 2019

Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks.
Inf. Sci., 2019

Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression.
Inf. Sci., 2019

Improved randomized learning algorithms for imbalanced and noisy educational data classification.
Computing, 2019

Investigating students' interaction patterns and dynamic learning sentiments in online discussions.
Comput. Educ., 2019

2018
Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks.
Wirel. Commun. Mob. Comput., 2018

Quality Utilization Aware Based Data Gathering for Vehicular Communication Networks.
Wirel. Commun. Mob. Comput., 2018

A Time and Location Correlation Incentive Scheme for Deep Data Gathering in Crowdsourcing Networks.
Wirel. Commun. Mob. Comput., 2018

Green Data Gathering under Delay Differentiated Services Constraint for Internet of Things.
Wirel. Commun. Mob. Comput., 2018

Object-Location-Aware Hashing for Multi-Label Image Retrieval via Automatic Mask Learning.
IEEE Trans. Image Process., 2018

Balance Preferences with Performance in Group Role Assignment.
IEEE Trans. Cybern., 2018

Optimizing Evaluation Metrics for Multitask Learning via the Alternating Direction Method of Multipliers.
IEEE Trans. Cybern., 2018

NGD: Filtering Graphs for Visual Analysis.
IEEE Trans. Big Data, 2018

A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering.
Scientometrics, 2018

Personalized learning full-path recommendation model based on LSTM neural networks.
Inf. Sci., 2018

A novel approach for entity resolution in scientific documents using context graphs.
Inf. Sci., 2018

Large-scale semantic web image retrieval using bimodal deep learning techniques.
Inf. Sci., 2018

Type theory based semantic verification for service composition in cloud computing environments.
Inf. Sci., 2018

EGRank: An exponentiated gradient algorithm for sparse learning-to-rank.
Inf. Sci., 2018

A collaborative filtering recommendation method based on discrete quantum-inspired shuffled frog leaping algorithms in social networks.
Future Gener. Comput. Syst., 2018

Improved expert selection model for forex trading.
Frontiers Comput. Sci., 2018

An Improved MOEA/D Based on Reference Distance for Software Project Portfolio Optimization.
Complex., 2018

Pedagogical, social and technical designs of a blended synchronous learning environment.
Br. J. Educ. Technol., 2018

Combining Convolutional Neural Network and Markov Random Field for Semantic Image Retrieval.
Adv. Multim., 2018

A Trust With Abstract Information Verified Routing Scheme for Cyber-Physical Network.
IEEE Access, 2018

Construction of Large-Scale Low-Cost Delivery Infrastructure Using Vehicular Networks.
IEEE Access, 2018

Cross-Modal Learning to Rank with Adaptive Listwise Constraint.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Predicting Students' Mood Level Using Multi-feature Fusion Joint Sentiment-Topic Model in Mobile Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

2017
Fast and Efficient Data Forwarding Scheme for Tracking Mobile Targets in Sensor Networks.
Symmetry, 2017

Intelligent Aggregation Based on Content Routing Scheme for Cloud Computing.
Symmetry, 2017

Adaptive Information Dissemination Control to Provide Diffdelay for the Internet of Things.
Sensors, 2017

Unequal Probability Marking Approach to Enhance Security of Traceback Scheme in Tree-Based WSNs.
Sensors, 2017

Preserving Source Location Privacy for Energy Harvesting WSNs.
Sensors, 2017

On Selecting Vehicles as Recommenders for Vehicular Social Networks.
IEEE Access, 2017

A Novel Approach for Adverse Events Detection.
Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data Co-located with the 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017

The Study on the Roles in the Practical Applying Oriented Asynchronous Collaborative Learning Network.
Proceedings of the Blended Learning. New Challenges and Innovative Practices, 2017

A study on the landscape of cancer disease researches using bibliometric methods and social network analysis.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

2016
M&E-NetPay: A Micropayment System for Mobile and Electronic Commerce.
Symmetry, 2016

Constructing authentication web in cloud computing.
Secur. Commun. Networks, 2016

Delay-Aware Program Codes Dissemination Scheme in Internet of Everything.
Mob. Inf. Syst., 2016

An examination of on-line machine learning approaches for pseudo-random generated data.
Clust. Comput., 2016

Social-Aware Data Collection Scheme Through Opportunistic Communication in Vehicular Mobile Networks.
IEEE Access, 2016

A Similarity Scenario-Based Recommendation Model With Small Disturbances for Unknown Items in Social Networks.
IEEE Access, 2016

A Novel Prediction Model for Sales Forecasting Based on Grey System.
Proceedings of the 9th IEEE International Conference on Service-Oriented Computing and Applications, 2016

PARecommender: A Pattern-Based System for Route Recommendation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Online Prediction for Forex with an Optimized Experts Selection Model.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
Resource Constrained Data Stream Clustering with Concept Drifting for Processing Sensor Data.
Int. J. Data Warehous. Min., 2015

Image retrieval based on multi-concept detector and semantic correlation.
Sci. China Inf. Sci., 2015

2012
A Comprehensive Failure Recovery Algorithm for LRTs Based on Paired Net.
J. Softw., 2012

Systematic literature review of machine learning based software development effort estimation models.
Inf. Softw. Technol., 2012

An aggregation composition compensation method based on paired net.
Int. J. Autom. Comput., 2012

Risk analysis of city emergency evacuation based on multi-agent simulation.
Proceedings of the 20th International Conference on Geoinformatics, 2012

2011
Learning to rank with document ranks and scores.
Knowl. Based Syst., 2011

EIIS: An Educational Information Intelligent Search Engine Supported by Semantic Services.
Int. J. Distance Educ. Technol., 2011

2006
Towards an Agent-Based Robust Collaborative Virtual Environment for E-Learning in the Service Grid.
Proceedings of the Agent Computing and Multi-Agent Systems, 2006

A Security Auditing Approach Based on Mobile Agent in Grid Environments.
Proceedings of the Computational Science and Its Applications, 2006

Massive Data Oriented Replication Algorithms for Consistency Maintenance in Data Grids.
Proceedings of the Computational Science, 2006

2005
An Engineering Computation Oriented Grid Project: Design and Implementation.
Proceedings of the Computational Science, 2005

A New Trust Framework for Resource-Sharing in the Grid Environment.
Proceedings of the Computational Science, 2005

2004
Research on a Web-service-based architecture oriented to E-business in P2P environment.
Proceedings of the IEEE International Conference on Systems, 2004

Securing role-based distributed collaboration system.
Proceedings of the IEEE International Conference on Systems, 2004

A DAG-Based XCIGS Algorithm for Dependent Tasks in Grid Environments.
Proceedings of the Computational Science and Its Applications, 2004

Quality-of-Service Driven Visual Scheduling in Grid Computing.
Proceedings of the Grid and Cooperative Computing, 2004

Grid Authorization Management Oriented to Large-Scale Collaborative Computing.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004

A Grid Service-Based Engineering Computation Architecture.
Proceedings of the 28th International Computer Software and Applications Conference (COMPSAC 2004), 2004

Performance-Driven Task and Data Co-scheduling Algorithms for Data-Intensive Applications in Grid Computing.
Proceedings of the Advanced Web Technologies and Applications, 2004

An Authorization Architecture Oriented to Engineering and Scientific Computation in Grid Environments.
Proceedings of the Advances in Computer Systems Architecture, 9th Asia-Pacific Conference, 2004

2003
A Scheduling Approach with Respect to Overlap of Computing and Data Transferring in Grid Computing.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003


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