Jun Liu

Orcid: 0000-0002-6004-0675

Affiliations:
  • Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China
  • Xi'an Jiaotong University, School of Electronic and Information Engineering, SPKLSTN Lab, Xi'an, China


According to our database1, Jun Liu authored at least 199 papers between 2002 and 2024.

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Bibliography

2024
FPrompt-PLM: Flexible-Prompt on Pretrained Language Model for Continual Few-Shot Relation Extraction.
IEEE Trans. Knowl. Data Eng., December, 2024

XTQA: Span-Level Explanations for Textbook Question Answering.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Robust Visual Question Answering: Datasets, Methods, and Future Challenges.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2024

TGIN: Translation-Based Graph Inference Network for Few-Shot Relational Triplet Extraction.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Diagram Perception Networks for Textbook Question Answering via Joint Optimization.
Int. J. Comput. Vis., May, 2024

Multistructure Contrastive Learning for Pretraining Event Representation.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Alignment Relation is What You Need for Diagram Parsing.
IEEE Trans. Image Process., 2024

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning.
Neural Networks, 2024

Multi-focus image fusion with parameter adaptive dual channel dynamic threshold neural P systems.
Neural Networks, 2024

RTRL: Relation-aware Transformer with Reinforcement Learning for Deep Question Generation.
Knowl. Based Syst., 2024

Learnable convolutional attention network for knowledge graph completion.
Knowl. Based Syst., 2024

Learning path recommendation with multi-behavior user modeling and cascading deep Q networks.
Knowl. Based Syst., 2024

Multiple GRAphs-oriented Random wAlk (MulGRA2) for social link prediction.
Inf. Sci., 2024

Knowledge graph representation learning with relation-guided aggregation and interaction.
Inf. Process. Manag., 2024

Interest-driven community detection on attributed heterogeneous information networks.
Inf. Fusion, 2024

Multi-view cognition with path search for one-shot part labeling.
Comput. Vis. Image Underst., 2024

Debate on Graph: a Flexible and Reliable Reasoning Framework for Large Language Models.
CoRR, 2024

GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering.
CoRR, 2024

VProChart: Answering Chart Question through Visual Perception Alignment Agent and Programmatic Solution Reasoning.
CoRR, 2024

EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding.
CoRR, 2024

Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models.
CoRR, 2024

QGEval: A Benchmark for Question Generation Evaluation.
CoRR, 2024

Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering.
CoRR, 2024

Learning from Semi-Factuals: A Debiased and Semantic-Aware Framework for Generalized Relation Discovery.
CoRR, 2024

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction.
Proceedings of the ACM on Web Conference 2024, 2024

Untargeted Adversarial Attack on Knowledge Graph Embeddings.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Expediting Distributed GNN Training with Feature-only Partition and Optimized Communication Planning.
Proceedings of the IEEE INFOCOM 2024, 2024

Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
RPMG-FSS: Robust Prior Mask Guided Few-Shot Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

A deep cross-modal neural cognitive diagnosis framework for modeling student performance.
Expert Syst. Appl., November, 2023

Incorporating logic rules with textual representations for interpretable knowledge graph reasoning.
Knowl. Based Syst., October, 2023

SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

Improved prototypical network for active few-shot learning.
Pattern Recognit. Lett., August, 2023

MoCA: Incorporating domain pretraining and cross attention for textbook question answering.
Pattern Recognit., August, 2023

Keep and Select: Improving Hierarchical Context Modeling for Multi-Turn Response Generation.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Spatial-Semantic Collaborative Graph Network for Textbook Question Answering.
IEEE Trans. Circuits Syst. Video Technol., July, 2023

Dynamic dual graph networks for textbook question answering.
Pattern Recognit., July, 2023

MuL-GRN: Multi-Level Graph Relation Network for Few-Shot Node Classification.
IEEE Trans. Knowl. Data Eng., June, 2023

Contrastive Graph Representations for Logical Formulas Embedding.
IEEE Trans. Knowl. Data Eng., April, 2023

Multitask Learning for Visual Question Answering.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

A Boundary Regression Model for Nested Named Entity Recognition.
Cogn. Comput., March, 2023

Generating Relevant and Informative Questions for Open-Domain Conversations.
ACM Trans. Inf. Syst., January, 2023

Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering.
IEEE Trans. Neural Networks Learn. Syst., 2023

DisAVR: Disentangled Adaptive Visual Reasoning Network for Diagram Question Answering.
IEEE Trans. Image Process., 2023

Answering knowledge-based visual questions via the exploration of Question Purpose.
Pattern Recognit., 2023

Fusing topology contexts and logical rules in language models for knowledge graph completion.
Inf. Fusion, 2023

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views.
CoRR, 2023

Adaptive loose optimization for robust question answering.
CoRR, 2023

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-shot Logical Reasoning over Text.
CoRR, 2023

Relation-Aware Multi-Positive Contrastive Knowledge Graph Completion with Embedding Dimension Scaling.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

B<sup>2</sup>-Sampling: Fusing Balanced and Biased Sampling for Graph Contrastive Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Diagram Visual Grounding: Learning to See with Gestalt-Perceptual Attention.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Understanding the Instability of Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

GBTTE: Graph Attention Network Based Bus Travel Time Estimation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Synthesize, Prompt and Transfer: Zero-shot Conversational Question Generation with Pre-trained Language Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TECHS: Temporal Logical Graph Networks for Explainable Extrapolation Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

GPTR: Gestalt-Perception Transformer for Diagram Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Understanding the Instability of Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

Computer Science Diagram Understanding with Topology Parsing.
ACM Trans. Knowl. Discov. Data, 2022

Du-Bus: A Realtime Bus Waiting Time Estimation System Based On Multi-Source Data.
IEEE Trans. Intell. Transp. Syst., 2022

Weakly Supervised Learning for Textbook Question Answering.
IEEE Trans. Image Process., 2022

Auto-FSL: Searching the Attribute Consistent Network for Few-Shot Learning.
IEEE Trans. Circuits Syst. Video Technol., 2022

A deep grouping fusion neural network for multimedia content understanding.
IET Image Process., 2022

Logiformer: A Two-Branch Graph Transformer Network for Interpretable Logical Reasoning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

BusWTE: Realtime Bus Waiting Time Estimation of GPS Missing via Multi-task Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

MatchPrompt: Prompt-based Open Relation Extraction with Semantic Consistency Guided Clustering.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021
Faceted Text Segmentation via Multitask Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Fs-DSM: Few-Shot Diagram-Sentence Matching via Cross-Modal Attention Graph Model.
IEEE Trans. Image Process., 2021

Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search.
Inf. Sci., 2021

Rule-enhanced iterative complementation for knowledge graph reasoning.
Inf. Sci., 2021

Context-Controlled Topic-Aware Neural Response Generation for Open-Domain Dialog Systems.
Inf. Process. Manag., 2021

A sequence to sequence model for dialogue generation with gated mixture of topics.
Neurocomputing, 2021

Weakly Supervised Group Mask Network for Object Detection.
Int. J. Comput. Vis., 2021

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.
CoRR, 2021

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning.
CoRR, 2021

RL-CSDia: Representation Learning of Computer Science Diagrams.
CoRR, 2021

Knowledge forest: a novel model to organize knowledge fragments.
Sci. China Inf. Sci., 2021

Reliable Recommendation with Review-level Explanations.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Multi-task Learning for Multi-turn Dialogue Generation with Topic Drift Modeling.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Fuzzy c-Means Clustering with Discriminative Projection.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

ToFM: Topic-specific Facet Mining by Facet Propagation within Clusters.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

CSDQA: Diagram Question Answering in Computer Science.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction, 2021

2020
CTDroid: Leveraging a Corpus of Technical Blogs for Android Malware Analysis.
IEEE Trans. Reliab., 2020

Deep Top-$k$ Ranking for Image-Sentence Matching.
IEEE Trans. Multim., 2020

Diverse fuzzy <i>c</i>-means for image clustering.
Pattern Recognit. Lett., 2020

Few-shot activity recognition with cross-modal memory network.
Pattern Recognit., 2020

Fine-Grained 3D-Attention Prototypes for Few-Shot Learning.
Neural Comput., 2020

Structured query construction via knowledge graph embedding.
Knowl. Inf. Syst., 2020

Data fusion in heterogeneous networks.
Inf. Fusion, 2020

An anomaly detection framework for time-evolving attributed networks.
Neurocomputing, 2020

Supporting poverty-stricken college students in smart campus.
Future Gener. Comput. Syst., 2020

XTQA: Span-Level Explanations of the Textbook Question Answering.
CoRR, 2020

Jointly Optimized Neural Coreference Resolution with Mutual Attention.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

ZSTAD: Zero-Shot Temporal Activity Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Large-Scale Robust Semisupervised Classification.
IEEE Trans. Cybern., 2019

Scheduled sampling for one-shot learning via matching network.
Pattern Recognit., 2019

Answering why-not questions on SPARQL queries.
Knowl. Inf. Syst., 2019

A new truth discovery method for resolving object conflicts over Linked Data with scale-free property.
Knowl. Inf. Syst., 2019

AHNG: Representation learning on attributed heterogeneous network.
Inf. Fusion, 2019

Joint Embedding Learning of Educational Knowledge Graphs.
CoRR, 2019

Extended Answer and Uncertainty Aware Neural Question Generation.
CoRR, 2019

Analysis model for server consolidation of virtualized heterogeneous data centers providing internet services.
Clust. Comput., 2019

Graph embedding based familial analysis of Android malware using unsupervised learning.
Proceedings of the 41st International Conference on Software Engineering, 2019

Anomaly Detection in Time-Evolving Attributed Networks.
Proceedings of the Database Systems for Advanced Applications, 2019

Leveraging Knowledge Graph Embeddings for Natural Language Question Answering.
Proceedings of the Database Systems for Advanced Applications, 2019

TF-Miner: Topic-Specific Facet Mining by Label Propagation.
Proceedings of the Database Systems for Advanced Applications, 2019

Connecting Language to Images: A Progressive Attention-Guided Network for Simultaneous Image Captioning and Language Grounding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification.
IEEE Trans. Image Process., 2018

Android Malware Familial Classification and Representative Sample Selection via Frequent Subgraph Analysis.
IEEE Trans. Inf. Forensics Secur., 2018

Deep Semisupervised Zero-Shot Learning with Maximum Mean Discrepancy.
Neural Comput., 2018

Facet Annotation by Extending CNN with a Matching Strategy.
Neural Comput., 2018

Answering why-not questions on semantic multimedia queries.
Multim. Tools Appl., 2018

Deterministic construction of compressed sensing matrices based on semilattices.
J. Comb. Optim., 2018

Big data fusion in Internet of Things.
Inf. Fusion, 2018

Semi-supervised clue fusion for spammer detection in <i>Sina Weibo</i>.
Inf. Fusion, 2018

Representation learning over multiple knowledge graphs for knowledge graphs alignment.
Neurocomputing, 2018

Towards Empty Answers in SPARQL: Approximating Querying with RDF Embedding.
Proceedings of the Semantic Web - ISWC 2018, 2018

Interpretative Topic Categorization Via Deep Multiple Instance Learning.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Graph Embedding Based Query Construction Over Knowledge Graphs.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

AUnet: An Unsupervised Method for Answer Reliability Evaluation in Community QA Systems.
Proceedings of the Web and Big Data, 2018

2017
DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis.
IEEE Trans. Inf. Forensics Secur., 2017

Guest Editorial Data Mining in Cyber, Physical, and Social Computing.
IEEE Syst. J., 2017

Sparse Relational Topical Coding on multi-modal data.
Pattern Recognit., 2017

Special issue on pervasive social networking.
J. Netw. Comput. Appl., 2017

Distributed extreme learning machine with alternating direction method of multiplier.
Neurocomputing, 2017

Safe Medicine Recommendation via Medical Knowledge Graph Embedding.
CoRR, 2017

Internet traffic classification based on expanding vector of flow.
Comput. Networks, 2017

Knowledge Engineering With Big Data (BigKE): A 54-Month, 45-Million RMB, 15-Institution National Grand Project.
IEEE Access, 2017

Opinioned Post Detection in Sina Weibo.
IEEE Access, 2017

TruthDiscover: Resolving Object Conflicts on Massive Linked Data.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking.
Proceedings of the Semantic Web - ISWC 2017, 2017

Exploiting Source-Object Networks to Resolve Object Conflicts in Linked Data.
Proceedings of the Semantic Web - 14th International Conference, 2017

DKG: An Expanded Knowledge Base for Online Course.
Proceedings of the Database Systems for Advanced Applications, 2017

Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning.
Proceedings of the Advanced Data Mining and Applications - 13th International Conference, 2017

2016
Editorial: Trust Management for Multimedia Big Data.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Managing Deadline-constrained Bag-of-Tasks Jobs on Hybrid Clouds with Closest Deadline First Scheduling.
KSII Trans. Internet Inf. Syst., 2016

Sparse Multi-Modal Topical Coding for Image Annotation.
Neurocomputing, 2016

TruthDiscover: A Demonstration of Resolving Object Conflicts on Massive Linked Data.
CoRR, 2016

Exploiting Source-Object Network to Resolve Object Conflicts in Linked Data.
CoRR, 2016

Improvements to Online Distributed Monitoring Systems.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Server consolidation for internet applications in virtualized data centers.
Proceedings of the 24th High Performance Computing Symposium, 2016

Managing deadline-constrained bag-of-tasks jobs on hybrid clouds.
Proceedings of the 24th High Performance Computing Symposium, 2016

Frequent Subgraph Based Familial Classification of Android Malware.
Proceedings of the 27th IEEE International Symposium on Software Reliability Engineering, 2016

2015
microblogPCU.
Dataset, March, 2015

LS-AMS: An Adaptive Indexing Structure for Realtime Search on Microblogs.
IEEE Trans. Big Data, 2015

DF-Miner: Domain-specific facet mining by leveraging the hyperlink structure of Wikipedia.
Knowl. Based Syst., 2015

Optimizing word set coverage for multi-event summarization.
J. Comb. Optim., 2015

Dynamic author name disambiguation for growing digital libraries.
Inf. Retr. J., 2015

Fusion - An aide to data mining in Internet of Things.
Inf. Fusion, 2015

Faceted fusion of RDF data.
Inf. Fusion, 2015

Trustworthy data fusion and mining in Internet of Things.
Future Gener. Comput. Syst., 2015

Knowledge Engineering with Big Data.
IEEE Intell. Syst., 2015

Workload modeling for virtual machine-hosted application.
Expert Syst. Appl., 2015

Probabilistic Modeling Towards Understanding the Power Law Distribution of Video Viewing Behavior in Large-Scale e-Learning.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

ANNA: Answering Why-Not Questions for SPARQL.
Proceedings of the ISWC 2015 Posters & Demonstrations Track co-located with the 14th International Semantic Web Conference (ISWC-2015), 2015

2014
Motif-Based Hyponym Relation Extraction from Wikipedia Hyperlinks.
IEEE Trans. Knowl. Data Eng., 2014

MiCA: Real-Time Mixed Compression Scheme for Large-Scale Distributed Monitoring.
Proceedings of the 43rd International Conference on Parallel Processing, 2014

Faceted Exploring for Domain Knowledge over Linked Open Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A Survey of Faceted Search.
J. Web Eng., 2013

Learning to crawl deep web.
Inf. Syst., 2013

DFT-extractor: a system to extract domain-specific faceted taxonomies from wikipedia.
Proceedings of the 22nd International World Wide Web Conference, 2013

Analysis on Topic Map Oriented E-Learner Behavior and Study Efficiency.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

2012
Topological analysis of knowledge maps.
Knowl. Based Syst., 2012

Ranking the Difficulty Level of the Knowledge Units Based on Learning Dependency.
Int. J. Distance Educ. Technol., 2012

MOTIF-RE: Motif-Based Hypernym/Hyponym Relation Extraction from Wikipedia Links.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Learning to identify core term of knowledge unit from short text.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Mining learning-dependency between knowledge units from text.
VLDB J., 2011

Deep Web adaptive crawling based on minimum executable pattern.
J. Intell. Inf. Syst., 2011

Automatic term extraction from Chinese scientific texts.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
Mining preorder relation between knowledge units from text.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Efficient Deep Web Crawling Using Reinforcement Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Yotta: A Knowledge Map Centric E-Learning System.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

Ranking Difficulty of Knowledge Units Based on Learning Dependency.
Proceedings of the IEEE 7th International Conference on e-Business Engineering, 2010

New collaborative recommendation approach based on concept lattice.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

Incremental Projection Vector Machine: A One-Stage Learning Algorithm for High-Dimension Large-Sample Dataset.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Abstracting Markov Networks.
Proceedings of the Abstraction, 2010

2009
Crawling Deep Web Content through Query Forms.
Proceedings of the WEBIST 2009, 2009

OrdRank: Learning to Rank with Ordered Multiple Hyperplanes.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Learning Deep Web Crawling with Diverse Features.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Exploiting various information for knowledge element relation recognition.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

A collaborative knowledge construction system design for massive knowledge resources.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

ETM Toolkit: A development tool based on Extended Topic Map.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

2008
A New Model for Distributed Knowledge Organization Management.
Proceedings of the Seventh International Conference on Grid and Cooperative Computing, 2008

Distributed Knowledge Management Based on Extended Topic Maps.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Multi-Object Multimedia Presentation Synchronization Strategy.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

2006
A Method for User Behavior Modeling Based on Web Page Metadata.
Proceedings of the 10th International Conference on CSCW in Design, 2006

2002
A Resource Reservation and Scheduling Algorithm for Learning On-Demand System over Satellite and Cable Network.
Proceedings of the 4th International Symposium on Multimedia Software Engineering, 2002


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