Chong-Jun Wang

Orcid: 0000-0002-2628-7033

According to our database1, Chong-Jun Wang authored at least 173 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels.
Appl. Intell., November, 2023

Self-supervised short text classification with heterogeneous graph neural networks.
Expert Syst. J. Knowl. Eng., July, 2023

COM: Contrastive Masked-attention model for incomplete multimodal learning.
Neural Networks, May, 2023

Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation.
Trans. Mach. Learn. Res., 2023

Understanding Data Augmentation from a Robustness Perspective.
CoRR, 2023

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels.
CoRR, 2023

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection.
CoRR, 2023

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Self-Training with Label-Feature-Consistency for Domain Adaptation.
Proceedings of the Database Systems for Advanced Applications, 2023

FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction.
Proceedings of the Database Systems for Advanced Applications, 2023

Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

READ: Aggregating Reconstruction Error into Out-of-Distribution Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media.
Data Technol. Appl., 2022

Not all edges are peers: Accurate structure-aware graph pooling networks.
Neural Networks, 2022

A unified structure learning framework for graph attention networks.
Neurocomputing, 2022

Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning.
IEEE Multim., 2022

LAMB: A novel algorithm of label collaboration based multi-label learning.
Intell. Data Anal., 2022

Graph structure learning based on feature and label consistency.
Intell. Data Anal., 2022

Learning transferable and discriminative features for unsupervised domain adaptation.
Intell. Data Anal., 2022

MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation.
CoRR, 2022

Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting.
CoRR, 2022

Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models.
CoRR, 2022

Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation.
CoRR, 2022

Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition.
CoRR, 2022

Collaboration based multi-modal multi-label learning.
Appl. Intell., 2022

A Bayesian optimal social law synthesizing mechanism for strategical agents.
Auton. Agents Multi Agent Syst., 2022

InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CopGAT: Co-propagation Self-supervised Graph Attention Network.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022

LSEGNN: Encode Local Topology Structure in Graph Neural Networks.
Proceedings of the IEEE International Performance, 2022

FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

MRM: Site Selection via Mutil-round Meanshift for Global Fairness.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks.
Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Semi-supervised Learning with Multi-Head Co-Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation.
CoRR, 2021

Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network.
IEEE Access, 2021

Equitable Valuation of Crowdsensing for Machine Learning via Game Theory.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

EPINE: Enhanced Proximity Information Network Embedding.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Transformer based Multi-output Regression Learning for Wastewater Treatment.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Label-Specific Alignment with Adversarial Multi-View Representation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

False-name-proof mechanism for time window coverage tasks in mobile crowdsensing.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing.
Proceedings of the Database Systems for Advanced Applications, 2021

Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning.
Proceedings of the Database Systems for Advanced Applications, 2021

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning.
Proceedings of the Database Systems for Advanced Applications, 2021

Unsupervised Domain Adaptation with Unified Joint Distribution Alignment.
Proceedings of the Database Systems for Advanced Applications, 2021

Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation.
Proceedings of the Database Systems for Advanced Applications, 2021

Cross-Domain Error Minimization for Unsupervised Domain Adaptation.
Proceedings of the Database Systems for Advanced Applications, 2021

Adversarial Separation Network for Cross-Network Node Classification.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AdaRNN: Adaptive Learning and Forecasting of Time Series.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Truthful Mechanism Design for Multiregion Mobile Crowdsensing.
Wirel. Commun. Mob. Comput., 2020

Unsupervised domain adaptation with exploring more statistics and discriminative information.
CoRR, 2020

Dual Adversarial Domain Adaptation.
CoRR, 2020

Fast core pricing algorithms for path auction.
Auton. Agents Multi Agent Syst., 2020

Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Discriminative Multi-label Model Reuse for Multi-label Learning.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2019

Opinion Mining in Online Social Media for Public Health Campaigns.
J. Medical Imaging Health Informatics, 2019

A general framework for multi-label learning towards class correlations and class imbalance.
Intell. Data Anal., 2019

Utilizing Recurrent Neural Network for topic discovery in short text scenarios.
Intell. Data Anal., 2019

A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Mechanism design for cross-market task crowdsourcing.
Proceedings of the International Symposium on Quality of Service, 2019

GADGET: Using Gated GRU for Biomedical Event Trigger Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Gated Neural Network with Regularized Loss for Multi-label Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

An Efficient Framework by Topic Model for Multi-label Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2019

Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Probabilistic Forward Search Value Iteration Algorithm for POMDP.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Symmetrical Adversarial Training Network: A Novel Model for Text Generation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis.
Proceedings of the Database Systems for Advanced Applications, 2019

Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition.
Proceedings of the Database Systems for Advanced Applications, 2019

A Compiler-assisted locality aware CTA Mapping Scheme.
Proceedings of 34th International Conference on Computers and Their Applications, 2019

Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A False-Name-Proof Protocol for Multicast Routing Auctions.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

A Truthful Profit-Oriented Mechanism for Mobile Crowdsensing.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Online Single Homogeneous Source Transfer Learning Based on AdaBoost.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Exploiting Global Semantic Similarity Biterms for Short-Text Topic Discovery.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Fast Document Cosine Similarity Self-Join on GPUs.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.
Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Constructing Pseudo Documents with Semantic Similarity for Short Text Topic Discovery.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Optimal Constraint Collection for Core-Selecting Path Mechanism.
Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Multi-label Classification via Label-Topic Pairs.
Proceedings of the Web and Big Data - Second International Joint Conference, 2018

Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Measuring the social influences of scientist groups based on multiple types of collaboration relations.
Inf. Process. Manag., 2017

A-MapCG: An Adaptive MapReduce Framework for GPUs.
Proceedings of the 2017 International Conference on Networking, Architecture, and Storage, 2017

Topics may Evolve: Using Complaint Data for Analysis.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Multi-label Learning by Exploiting Label Correlations with LDA.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Approximation for strategic single point weighted steiner tree problem.
Proceedings of the IEEE International Conference on Agents, 2017

Community detection on anti-vaping campaign audience.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Multi-label learning by exploiting label correlations for TCM diagnosing Parkinson's disease.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Mechanism Design for Social Law Synthesis under Incomplete Information.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism Design.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Viral Marketing for Digital Goods in Social Networks.
Proceedings of the Web and Big Data - First International Joint Conference, 2017

Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
New Efficient Certificateless Blind Signature Scheme.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Biterm Pseudo Document Topic Model for Short Text.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Web Page Segmentation and Its Application for Web Information Crawling.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Compile-Time Automatic Synchronization Insertion and Redundant Synchronization Elimination for GPU Kernels.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016

False-Name-Proof Mechanisms for Path Auctions in Social Networks.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Traditional Chinese Medicine formula evaluation using multi-instance multi-label framework.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
Cost optimal planning with multi-valued landmarks.
AI Commun., 2015

Using Hierarchical Clustering Algorithm to Detect Community Structure in Traditional Chinese Medicine Formula Network.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Never Ignore the Significance of Different Anomalies: A Cost-Sensitive Algorithm Based on Loss Function for Anomaly Detection.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

PCFBPI: A Point Clustering Feature Based Policy Iteration Algorithm.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems.
Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems, 2015

Entropy chain multi-label classifiers for traditional medicine diagnosing Parkinson's disease.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Text Summarization Based on Sentence Selection with Semantic Representation.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Multi-label Emotion Classification for Tweets in Weibo: Method and Application.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Automated Model Revision for Coordinated Open Systems.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

nso-HSVI: A Not-So-Optimistic Heuristic Search Value Iteration Algorithm for POMDPs.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Multi-label Classification: Dealing with Imbalance by Combining Labels.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Cost optimal planning with LP-based multi-valued landmark heuristic.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Three-Way Decision Based Overlapping Community Detection.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

An Optimized GP-GPU Warp Scheduling Algorithm for Sparse Matrix-Vector Multiplication.
Proceedings of the IEEE Eighth International Conference on Networking, 2013

CPP-SNS: A Solution to Influence Maximization Problem under Cost Control.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

A Spin-Glass Model Based Local Community Detection Method in Social Networks.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset.
Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013

On the complexity of undominated core and farsighted solution concepts in coalitional games.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

TeraScaler ELB-an Algorithm of Prediction-Based Elastic Load Balancing Resource Management in Cloud Computing.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

Planning with Multi-Valued Landmarks.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Maximizing Influence Spread in a New Propagation Model.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Link Communities Detection via Local Approach.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

On the Complexity and Algorithms of Coalition Structure Generation in Overlapping Coalition Formation Games.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Overlapping Community Detection via Leader-Based Local Expansion in Social Networks.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012

Chinese Medicine Formula Network Analysis for Core Herbal Discovery.
Proceedings of the Brain Informatics - International Conference, 2012

2011
Strategic Ability Updating in Concurrent Games by Coalitional Commitment.
IEEE Trans. Syst. Man Cybern. Part B, 2011

Detecting Link Communities Based on Local Approach.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A Center-Based Community Detection Method in Weighted Networks.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

A framework for coalitional normative systems.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2010
Multi-relational Topic Model for Social Recommendation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

A Factor-Based Model for Context-Sensitive Skill Rating Systems.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

2009
Temporal Reasoning in Urban Growth Simulation.
Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

Coalitional Planning in Game-like Domains via ATL Model Checking.
Proceedings of the ICTAI 2009, 2009

CORE: A Trust Model for Agent Coalition Formation.
Proceedings of the Fifth International Conference on Natural Computation, 2009

On the Logic of Cellular Reactive Systems.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2009

2008
Preprocessing for Point-Based Algorithms of POMDPs.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007
A Double Layer Bayesian Classifier.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

GAB: Graph Augmented Bayes Classifier.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Identifying and Correcting Mislabeled Training Instances.
Proceedings of the Future Generation Communication and Networking, 2007

An Intrusion Detection Model Based on Intention Modeling.
Proceedings of the 2007 International Conference on Security & Management, 2007

2006
Using an improved C4.5 for imbalanced dataset of intrusion.
Proceedings of the 2006 International Conference on Privacy, 2006

Dynamic Hierarchical Distributed Intrusion Detection System Based on Multi-Agent System.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005
A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Image Segmentation Using Spectral Clustering.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

A Multiple Eigenspaces Constructing Method and Its Application to Face Recognition.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Image Texture Representation and Retrieval Based on Power Spectral Histograms.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004

Illumination Invariant Face Recognition Based on Neural Network Ensemble.
Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2004), 2004


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