Huifang Ma

Orcid: 0000-0002-5104-8982

According to our database1, Huifang Ma authored at least 200 papers between 2008 and 2025.

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Bibliography

2025
Enhancing robust VQA via contrastive and self-supervised learning.
Pattern Recognit., 2025

2024
Attribute subspace-guided multi-scale community detection.
Neural Comput. Appl., August, 2024

Pre-training Question Embeddings for Improving Knowledge Tracing with Self-supervised Bi-graph Co-contrastive Learning.
ACM Trans. Knowl. Discov. Data, May, 2024

Similarity Graph-correlation Reconstruction Network for unsupervised cross-modal hashing.
Expert Syst. Appl., March, 2024

Multiresolution Local Spectral Attributed Community Search.
ACM Trans. Web, February, 2024

Question-response representation with dual-level contrastive learning for improving knowledge tracing.
Inf. Sci., February, 2024

Adaptive fusion of structure and attribute guided polarized communities search.
Frontiers Comput. Sci., February, 2024

Incorporating metapath interaction on heterogeneous information network for social recommendation.
Frontiers Comput. Sci., February, 2024

Dual graph neural network for overlapping community detection.
J. Supercomput., January, 2024

A feature-based restoration dynamic interaction network for multimodal sentiment analysis.
Eng. Appl. Artif. Intell., January, 2024

Mining core information by evaluating semantic importance for unpaired image captioning.
Neural Networks, 2024

Exploring refined dual visual features cross-combination for image captioning.
Neural Networks, 2024

Sentence salience contrastive learning for abstractive text summarization.
Neurocomputing, 2024

Hypergraph-enhanced multi-interest learning for multi-behavior sequential recommendation.
Expert Syst. Appl., 2024

Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection.
Expert Syst. Appl., 2024

GAP: A novel Generative context-Aware Prompt-tuning method for relation extraction.
Expert Syst. Appl., 2024

Unsupervised cross-modal hashing retrieval via Dynamic Contrast and Optimization.
Eng. Appl. Artif. Intell., 2024

Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks.
Eng. Appl. Artif. Intell., 2024

HCPM: Hierarchical Candidates Pruning for Efficient Detector-Free Matching.
CoRR, 2024

Object detection with a dynamic interactive network based on relational graph routing.
Appl. Soft Comput., 2024

Co-guided Dual-channel Graph Neural Networks for the prediction of compound-protein interaction.
Appl. Soft Comput., 2024

GraphSmin: Imbalanced dissolved gas analysis with contrastive dual-channel graph filters.
Adv. Eng. Informatics, 2024

Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Users' Preference-Aware Music Recommendation with Contrastive Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-View Framework.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Key Substructure-Driven Backdoor Attacks on Graph Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Beyond Homophily: Attributed Graph Anomaly Detection via Heterophily-Aware Contrastive Learning Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction.
Proceedings of the Database Systems for Advanced Applications, 2024

Time-aware Session Modeling for Knowledge Tracing.
Proceedings of the Database Systems for Advanced Applications, 2024

Path-Aware Co-contrastive Learning for Signed Directed Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Aspect-level sentiment analysis based on semantic heterogeneous graph convolutional network.
Frontiers Comput. Sci., December, 2023

Polarized Communities Search via Co-guided Random Walk in Attributed Signed Networks.
ACM Trans. Internet Techn., November, 2023

Mining graph-based dynamic relationships for object detection.
Eng. Appl. Artif. Intell., November, 2023

Causal-ViT: Robust Vision Transformer by causal intervention.
Eng. Appl. Artif. Intell., November, 2023

Efficient multi-scale community search method based on spectral graph wavelet.
Frontiers Comput. Sci., October, 2023

A multichannel location-aware interaction network for visual classification.
Appl. Intell., October, 2023

Dual-scale Contrastive Learning for multi-behavior recommendation.
Appl. Soft Comput., September, 2023

Dual-view co-contrastive learning for multi-behavior recommendation.
Appl. Intell., September, 2023

Exploiting multiple question factors for knowledge tracing.
Expert Syst. Appl., August, 2023

FIRE: knowledge-enhanced recommendation with feature interaction and intent-aware attention networks.
Appl. Intell., July, 2023

Dual graph attention networks for multi-behavior recommendation.
Int. J. Mach. Learn. Cybern., 2023

Adaptive target community search with sample expansion.
Knowl. Based Syst., 2023

Modeling graph-structured contexts for image captioning.
Image Vis. Comput., 2023

Attributed multi-query community search via random walk similarity.
Inf. Sci., 2023

Unifying knowledge iterative dissemination and relational reconstruction network for image-text matching.
Inf. Process. Manag., 2023

Heterogeneous graph convolution based on In-domain Self-supervision for Multimodal Sentiment Analysis.
Expert Syst. Appl., 2023

KGCL: A Knowledge-enhanced Graph Contrastive learning framework for session-based recommendation.
Eng. Appl. Artif. Intell., 2023

Enhance understanding and reasoning ability for image captioning.
Appl. Intell., 2023

Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications.
Artif. Intell. Rev., 2023

Candidate-Aware Attention Enhanced Graph Neural Network for News Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2023

Improving Knowledge Tracing with Diverse Question Factors.
Proceedings of the International Joint Conference on Neural Networks, 2023

Modeling Portraits of Students and Exercises for Exercise Recommendation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Dual-View Self-supervised Co-training for Knowledge Graph Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Local Spectral for Polarized Communities Search in Attributed Signed Network.
Proceedings of the Database Systems for Advanced Applications, 2023

Multi-scale Community Detection in Subspace of Attribute.
Proceedings of the Database Systems for Advanced Applications, 2023

Intra- and Inter-behavior Contrastive Learning for Multi-behavior Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2023

Co-guided Random Walk for Polarized Communities Search.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Synergistic Disease Similarity Measurement via Unifying Hierarchical Relation Perception and Association Capturing.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

BACON: Boundary-guided Polypharmacy Side Effect Prediction via Integrating Molecular Structures and Biochemical Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Multigranularity semantics based vulnerability search method for cross-platform binary.
Int. J. Intell. Syst., December, 2022

Community detection with attributed random walk via seed replacement.
Frontiers Comput. Sci., October, 2022

Adaptive Path Selection for Dynamic Image Captioning.
IEEE Trans. Circuits Syst. Video Technol., 2022

PBGN: Phased Bidirectional Generation Network in Text-to-Image Synthesis.
Neural Process. Lett., 2022

Dual Global Enhanced Transformer for image captioning.
Neural Networks, 2022

Hierarchical attention network for attributed community detection of joint representation.
Neural Comput. Appl., 2022

Searching Target Communities with Outliers in attributed graph.
Knowl. Based Syst., 2022

Multiple instance relation graph reasoning for cross-modal hash retrieval.
Knowl. Based Syst., 2022

Fine-grained bidirectional attentional generation and knowledge-assisted networks for cross-modal retrieval.
Image Vis. Comput., 2022

Improving image captioning with Pyramid Attention and SC-GAN.
Image Vis. Comput., 2022

SEEP: Semantic-enhanced question embeddings pre-training for improving knowledge tracing.
Inf. Sci., 2022

Exploiting cross-session information for knowledge-aware session-based recommendation via graph attention networks.
Int. J. Intell. Syst., 2022

Multi-granularity semantic alignment distillation learning for remote sensing image semantic segmentation.
Frontiers Comput. Sci., 2022

Community search over heterogeneous information networks via weighting strategy and query replacement.
Frontiers Comput. Sci., 2022

Tracking knowledge proficiency of students with calibrated Q-matrix.
Expert Syst. Appl., 2022

Modelling risk and return awareness for p2p lending recommendation with graph convolutional networks.
Appl. Intell., 2022

Flexible Image Captioning via Internal Understanding and External Reasoning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Cross-View Contrastive Learning for Knowledge-Aware Session-Based Recommendation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Co-contrastive Learning for Multi-behavior Recommendation.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Co-contrastive Self-supervised Learning for Drug-Disease Association Prediction.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Image-Text Matching with Fine-Grained Relational Dependency and Bidirectional Attention-Based Generative Networks.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

An Effective Two-way Metapath Encoder over Heterogeneous Information Network for Recommendation.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

A Knowledge Graph Recommendation Model via High-order Feature Interaction and Intent Decomposition.
Proceedings of the International Joint Conference on Neural Networks, 2022

Drug Side Effects Prediction via Heterogeneous Multi-Relational Graph Convolutional Networks.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Movie Recommender System Based On Heterogeneous Graph Neural Networks.
Proceedings of the 8th International Conference on Systems and Informatics, 2022

Short text classification method with dual channel hypergraph convolution networks.
Proceedings of the 8th International Conference on Systems and Informatics, 2022

Dynamic Transformer for Image Captioning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Local Spectral for Multiresolution Community Search in Attributed Graph.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Exploring Dual Stream Global Information For Image Captioning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Enhancing Session-Based Recommendation with Global Context Information and Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2022

Multi-behavior Recommendation with Two-Level Graph Attentional Networks.
Proceedings of the Database Systems for Advanced Applications, 2022

PERM: Pre-training Question Embeddings via Relation Map for Improving Knowledge Tracing.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Integrating Scene Semantic Knowledge into Image Captioning.
ACM Trans. Multim. Comput. Commun. Appl., 2021

A Semi-supervised Learning Approach Based on Adaptive Weighted Fusion for Automatic Image Annotation.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Discriminative Feature Network Based on a Hierarchical Attention Mechanism for Semantic Hippocampus Segmentation.
IEEE J. Biomed. Health Informatics, 2021

Joint deep separable convolution network and border regression reinforcement for object detection.
Neural Comput. Appl., 2021

Improve relation extraction with dual attention-guided graph convolutional networks.
Neural Comput. Appl., 2021

Is the simple assignment enough? Exploring the interpretability for community detection.
Int. J. Mach. Learn. Cybern., 2021

Hierarchical high-order co-clustering algorithm by maximizing modularity.
Int. J. Mach. Learn. Cybern., 2021

Stable self-attention adversarial learning for semi-supervised semantic image segmentation.
J. Vis. Commun. Image Represent., 2021

A novel joint biomedical event extraction framework via two-level modeling of documents.
Inf. Sci., 2021

Enhancing social recommendation via two-level graph attentional networks.
Neurocomputing, 2021

Multi-affect(ed): improving recommendation with similarity-enhanced user reliability and influence propagation.
Frontiers Comput. Sci., 2021

Learning to recommend via random walk with profile of loan and lender in P2P lending.
Expert Syst. Appl., 2021

Matching images and texts with multi-head attention network for cross-media hashing retrieval.
Eng. Appl. Artif. Intell., 2021

Adversarial Training for Image Captioning Incorporating Relation Attention.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

Exploring Implicit Relationships in Social Network for Recommendation Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

TT2INet: Text to Photo-realistic Image Synthesis with Transformer as Text Encoder.
Proceedings of the International Joint Conference on Neural Networks, 2021

Incorporating User Preference into Multi-community and Outliers Search.
Proceedings of the International Joint Conference on Neural Networks, 2021

A two-stage community search method based on seed replacement and joint random walk.
Proceedings of the International Joint Conference on Neural Networks, 2021

Attentional Social Recommendation System with Graph Convolutional Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Relevance-Aware Q-matrix Calibration for Knowledge Tracing.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Relation Also Need Attention: Integrating Relation Information Into Image Captioning.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
DeepGoal: Learning to drive with driving intention from human control demonstration.
Robotics Auton. Syst., 2020

Classify multi-label images via improved CNN model with adversarial network.
Multim. Tools Appl., 2020

Boost image captioning with knowledge reasoning.
Mach. Learn., 2020

Improving social and behavior recommendations via network embedding.
Inf. Sci., 2020

3D-SSD: Learning hierarchical features from RGB-D images for amodal 3D object detection.
Neurocomputing, 2020

The synergy of double attention: Combine sentence-level and word-level attention for image captioning.
Comput. Vis. Image Underst., 2020

Dual dense context-aware network for hippocampal segmentation.
Biomed. Signal Process. Control., 2020

Text Summarization Method Based on Double Attention Pointer Network.
IEEE Access, 2020

Combining Global and Local Similarity for Cross-Media Retrieval.
IEEE Access, 2020

Robust Semi-Supervised Semantic Segmentation Based on Self-Attention and Spectral Normalization.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Object Detection by Integrating Scene-Level Semantic Information and Border Regression Reinforcement.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adaptive Graph Convolutional Networks with Attention Mechanism for Relation Extraction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Leveraging Multisource Information in Matrix Factorization for Social Collaborative Filtering.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stochastic Blockmodels Meets Overlapping Community Detection.
Proceedings of the Intelligent Information Processing X, 2020

A Salient Object Detection Algorithm Based on Region Merging and Clustering.
Proceedings of the Intelligent Information Processing X, 2020

Scientific Paper Recommendation Using Author's Dual Role Citation Relationship.
Proceedings of the Intelligent Information Processing X, 2020

Analysis of the Stability and Solitary Waves for the Car-Following Model on Two Lanes.
Proceedings of the Intelligent Information Processing X, 2020

Phase Plane Analysis of Traffic Flow Evolution Based on a Macroscopic Traffic Flow Model.
Proceedings of the Intelligent Information Processing X, 2020

Phase Plane Analysis of Traffic Phenomena with Different Input and Output Conditions.
Proceedings of the Intelligent Information Processing X, 2020

Multi-label Classification of Short Text Based on Similarity Graph and Restart Random Walk Model.
Proceedings of the Intelligent Information Processing X, 2020

Overlapping Community Detection Combining Topological Potential and Trust Value of Nodes.
Proceedings of the Intelligent Information Processing X, 2020

NotMle: Community Detection in an Inference Way.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Object Detection Model Based on Scene-Level Region Proposal Self-Attention.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Reinforcement Learning with Dual Attention Guided Graph Convolution for Relation Extraction.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Cross-media Hash Retrieval Using Multi-head Attention Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Object Detection Using Dual Graph Network.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Top-N Recommendation in P2P Lending: A Hybrid Graph Ranking Using Investor Profile.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Exploring User Trust and Reliability for Recommendation: A Hypergraph Ranking Approach.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

An Overlapping Community Detection with Subspaces on Double-Views.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Robust Adversarial Learning For Semi-Supervised Semantic Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2020

Improving Object Detection with Relation Mining Network.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Image Captioning with Internal and External Knowledge.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
A term correlation based semi-supervised microblog clustering with dual constraints.
Int. J. Mach. Learn. Cybern., 2019

Weakly-Supervised Road Affordances Inference and Learning in Scenes without Traffic Signs.
CoRR, 2019

Towards navigation without precise localization: Weakly supervised learning of goal-directed navigation cost map.
CoRR, 2019

Object Detection Model Based on Deep Dilated Convolutional Networks by Fusing Transfer Learning.
IEEE Access, 2019

Target Community Detection With User's Preference and Attribute Subspace.
IEEE Access, 2019

HcRPC: Highly Compact Reachability Preserving Graph Compression With Corrections.
IEEE Access, 2019

Effectively Representing Short Text via the Improved Semantic Feature Space Mapping.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2019

Short Text Similarity Measurement Based on Coupled Semantic Relation and Strong Classification Features.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Collaborating CNN and SVM for Automatic Image Annotation.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Effectively Classify Short Texts with Sparse Representation Using Entropy Weighted Constraint.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Enhancing Graph-Based Keywords Extraction with Node Association.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Leveraging User Preferences for Community Search via Attribute Subspace.
Proceedings of the Knowledge Science, Engineering and Management, 2019

Automatic Image Annotation based on Co-Training.
Proceedings of the International Joint Conference on Neural Networks, 2019

Sentence-Level Semantic Features Guided Adversarial Network for Zhuang Language Part-of-Speech Tagging.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

SBRNE: An Improved Unified Framework for Social and Behavior Recommendations with Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Towards open-set semantic labeling in 3D point clouds : Analysis on the unknown class.
Neurocomputing, 2018

An evolutionary developmental approach for generation of 3D neuronal morphologies using gene regulatory networks.
Neurocomputing, 2018

From Time to Space: Automatic Annotation of Unmarked Traffic Scene Based on Trajectory Data.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

An Overlapping Microblog Community Detection Method Using New Partition Criterion.
Proceedings of the Knowledge Science, Engineering and Management, 2018

A Texture Synthesis Steganography Scheme Based on Super-Pixel Structure and SVM.
Proceedings of the Intelligent Information Processing IX, 2018

Short Text Feature Extraction via Node Semantic Coupling and Graph Structures.
Proceedings of the Intelligent Information Processing IX, 2018

Microblog Hot Event Detection Based on Restart Random Walk and Modularity.
Proceedings of the Intelligent Information Processing IX, 2018

Learning from Titles to Recommend Keywords for Academic Papers.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

A Neuronal Morphology Classification Approach Based on Deep Residual Neural Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Leveraging Hypergraph Random Walk Tag Expansion and User Social Relation for Microblog Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

2017
Combining tag correlation and user social relation for microblog recommendation.
Inf. Sci., 2017

Single Multi-feature detector for Amodal 3D Object Detection in RGB-D Images.
CoRR, 2017

Leveraging Term Co-occurrence Distance and Strong Classification Features for Short Text Feature Selection.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
A Microblog Hot Topic Detection Algorithm Based on Discrete Particle Swarm Optimization.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Tag correlation and user social relation based microblog recommendation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Short Text Feature Extension Based on Improved Frequent Term Sets.
Proceedings of the Intelligent Information Processing VIII, 2016

Combining Statistical Information and Semantic Similarity for Short Text Feature Extension.
Proceedings of the Intelligent Information Processing VIII, 2016

A Tag Probability Correlation Based Microblog Recommendation Method.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Supervised Learning Algorithm for Spiking Neurons Based on Nonlinear Inner Products of Spike Trains.
Proceedings of the Intelligent Computing Theories and Application, 2016

Effectively Classifying Short Texts via Improved Lexical Category and Semantic Features.
Proceedings of the Intelligent Computing Theories and Application, 2016

An Improved Supervised Learning Algorithm Using Triplet-Based Spike-Timing-Dependent Plasticity.
Proceedings of the Intelligent Computing Methodologies - 12th International Conference, 2016

2015
Semi-supervised Microblog Clustering Method via Dual Constraints.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A Microblog Recommendation Algorithm Based on Multi-tag Correlation.
Proceedings of the Knowledge Science, Engineering and Management, 2015

2014
An Efficient Microblog Hot Topic Detection Algorithm Based on Two Stage Clustering.
Proceedings of the Intelligent Information Processing VII, 2014

Microblog hot topic detection based on topic model using term correlation matrix.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Chinese Textual Entailment Recognition Based on Syntactic Tree Clipping.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2014

Semi-supervised Nonnegative Matrix Factorization for Microblog Clustering Based on Term Correlation.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
A nonnegative matrix factorization framework for semi-supervised document clustering with dual constraints.
Knowl. Inf. Syst., 2013

Supervised-LDA: A probabilistic topic model for collaborative filtering.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2012
Effective semi-supervised document clustering via active learning with instance-level constraints.
Knowl. Inf. Syst., 2012

A Novel Online Event Analysis Framework for Micro-blog Based on Incremental Topic Modeling.
Proceedings of the 13th ACIS International Conference on Software Engineering, 2012

2011
A new non-negative matrix factorization algorithm with sparseness constraints.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Hot topic extraction using time window.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

The improved non-negative Matrix Factorization algorithm for document clustering.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010
Orthogonal Nonnegative Matrix Tri-factorization for Semi-supervised Document Co-clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Combining the Missing Link: An Incremental Topic Model of Document Content and Hyperlink.
Proceedings of the Advances in Web Technologies and Applications, 2010

2009
Active Learning of Instance-Level Constraints for Semi-supervised Document Clustering.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Parallel <i>K</i>-Means Clustering Based on MapReduce.
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

IPHITS: An Incremental Latent Topic Model for Link Structure.
Proceedings of the Information Retrieval Technology, 2009

A Probabilistic Model for Automatic Image Annotation and Retrieval.
Proceedings of the Ninth IEEE International Conference on Computer and Information Technology, 2009

2008
Geodesic distance based multi-document summarization.
Proceedings of the 4th International Conference on Natural Language Processing and Knowledge Engineering, 2008


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