Jian Wu

Orcid: 0000-0002-3230-6392

Affiliations:
  • Zhejiang University, College of Computer Science & Technology, Hangzhou, China
  • Zhejiang University, School of Public Health, Hangzhou, China
  • Zhejiang University, Second Affiliated Hospital, School of Medicine, Department of Ophthalmology, Hangzhou, China


According to our database1, Jian Wu authored at least 207 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.
IEEE J. Biomed. Health Informatics, August, 2024

A Transformer-Based Knowledge Distillation Network for Cortical Cataract Grading.
IEEE Trans. Medical Imaging, March, 2024

Collaborative knowledge amalgamation: Preserving discriminability and transferability in unsupervised learning.
Inf. Sci., 2024

DPML: Prior-guided multitask learning for dental object recognition on limited panoramic radiograph dataset.
Expert Syst. Appl., 2024

KA<sup>2</sup>ER: Knowledge Adaptive Amalgamation of ExpeRts for Medical Images Segmentation.
CoRR, 2024

Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection.
CoRR, 2024

MambaCapsule: Towards Transparent Cardiac Disease Diagnosis with Electrocardiography Using Mamba Capsule Network.
CoRR, 2024

Multi-Modal CLIP-Informed Protein Editing.
CoRR, 2024

TrialBench: Multi-Modal Artificial Intelligence-Ready Clinical Trial Datasets.
CoRR, 2024

MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale.
CoRR, 2024

Group-On: Boosting One-Shot Segmentation with Supportive Query.
CoRR, 2024

Multi-rater Prompting for Ambiguous Medical Image Segmentation.
CoRR, 2024

Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models.
CoRR, 2024

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model.
CoRR, 2024

PoCo: A Self-Supervised Approach via Polar Transformation Based Progressive Contrastive Learning for Ophthalmic Disease Diagnosis.
CoRR, 2024

Large Window-based Mamba UNet for Medical Image Segmentation: Beyond Convolution and Self-attention.
CoRR, 2024

SERVAL: Synergy Learning between Vertical Models and LLMs towards Oracle-Level Zero-shot Medical Prediction.
CoRR, 2024

Improving LLM-based Machine Translation with Systematic Self-Correction.
CoRR, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns within Large Language Models.
CoRR, 2024

Divide and Conquer for Large Language Models Reasoning.
CoRR, 2024

Mind's Mirror: Distilling Self-Evaluation Capability and Comprehensive Thinking from Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

TeleOR: Real-Time Telemedicine System for Full-Scene Operating Room.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

[inline-graphic not available: see fulltext] LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can a Deep Learning Model be a <i>Sure Bet</i> for Tabular Prediction?
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Personalized Heart Disease Detection via ECG Digital Twin Generation.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Making Pre-trained Language Models Great on Tabular Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
TransFoxMol: predicting molecular property with focused attention.
Briefings Bioinform., September, 2023

CariesNet: a deep learning approach for segmentation of multi-stage caries lesion from oral panoramic X-ray image.
Neural Comput. Appl., August, 2023

Time-Aware Context-Gated Graph Attention Network for Clinical Risk Prediction.
IEEE Trans. Knowl. Data Eng., July, 2023

FraudAuditor: A Visual Analytics Approach for Collusive Fraud in Health Insurance.
IEEE Trans. Vis. Comput. Graph., June, 2023

TSNAdb v2.0: The Updated Version of Tumor-specific Neoantigen Database.
Genom. Proteom. Bioinform., April, 2023

A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning.
IEEE Trans. Multim., 2023

Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

D-former: a U-shaped Dilated Transformer for 3D medical image segmentation.
Neural Comput. Appl., 2023

Jointly Explicit and Implicit Cross-Modal Interaction Network for Anterior Chamber Inflammation Diagnosis.
CoRR, 2023

OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation.
CoRR, 2023

ExcelFormer: A Neural Network Surpassing GBDTs on Tabular Data.
CoRR, 2023

Robust Training of Graph Neural Networks via Noise Governance.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Sample-efficient Multi-objective Molecular Optimization with GFlowNets.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fast Model DeBias with Machine Unlearning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Distribution-Agnostic Generalized Category Discovery.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

TSegFormer: 3D Tooth Segmentation in Intraoral Scans with Geometry Guided Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MolHF: A Hierarchical Normalizing Flow for Molecular Graph Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Robust Image Ordinal Regression with Controllable Image Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

TabCaps: A Capsule Neural Network for Tabular Data Classification with BoW Routing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

T2G-FORMER: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention.
IEEE Trans. Software Eng., 2022

A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection.
IEEE Trans. Medical Imaging, 2022

Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation.
IEEE J. Biomed. Health Informatics, 2022

Single-shot multi-parametric mapping based on multiple overlapping-echo detachment (MOLED) imaging.
NeuroImage, 2022

ChroNet: A multi-task learning based approach for prediction of multiple chronic diseases.
Multim. Tools Appl., 2022

Detecting Duplicate Questions in Stack Overflow via Source Code Modeling.
Int. J. Softw. Eng. Knowl. Eng., 2022

TGSA: protein-protein association-based twin graph neural networks for drug response prediction with similarity augmentation.
Bioinform., 2022

Out-of-the-box deep learning prediction of quantum-mechanical partial charges by graph representation and transfer learning.
Briefings Bioinform., 2022

Self-learning and One-Shot Learning Based Single-Slice Annotation for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automating Blastocyst Formation and Quality Prediction in Time-Lapse Imaging with Adaptive Key Frame Selection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases.
Proceedings of the International Conference on Machine Learning, 2022

DialMed: A Dataset for Dialogue-based Medication Recommendation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CTT-Net: A Multi-view Cross-token Transformer for Cataract Postoperative Visual Acuity Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

DANets: Deep Abstract Networks for Tabular Data Classification and Regression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multiple interleaving interests modeling of sequential user behaviors in e-commerce platform.
World Wide Web, 2021

Aspect-level sentiment capsule network for micro-video click-through rate prediction.
World Wide Web, 2021

Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2021

KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System.
IEEE J. Biomed. Health Informatics, 2021

A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification.
IEEE J. Biomed. Health Informatics, 2021

A Transfer Learning Based Super-Resolution Microscopy for Biopsy Slice Images: The Joint Methods Perspective.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Multi-modality fusion learning for the automatic diagnosis of optic neuropathy.
Pattern Recognit. Lett., 2021

PROTAC-DB: an online database of PROTACs.
Nucleic Acids Res., 2021

Radiographs and texts fusion learning based deep networks for skeletal bone age assessment.
Multim. Tools Appl., 2021

Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.
J. Cheminformatics, 2021

A semi-supervised deep convolutional framework for signet ring cell detection.
Neurocomputing, 2021

Enhancing session-based social recommendation through item graph embedding and contextual friendship modeling.
Neurocomputing, 2021

Cascaded SE-ResUnet for segmentation of thoracic organs at risk.
Neurocomputing, 2021

Electrocardio Panorama: Synthesizing New ECG views with Self-supervision.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Receptor Skeleton for Capsule Neural Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

Full Scale Attention for Automated COVID-19 Diagnosis from CT Images.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

AGMI: Attention-Guided Multi-omics Integration for Drug Response Prediction with Graph Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

To Choose or to Fuse? Scale Selection for Crowd Counting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Fast and Efficient Facial Expression Recognition Using a Gabor Convolutional Network.
IEEE Signal Process. Lett., 2020

Multi-view factorization machines for mobile app recommendation based on hierarchical attention.
Knowl. Based Syst., 2020

CAMAR: a broad learning based context-aware recommender for mobile applications.
Knowl. Inf. Syst., 2020

Texture branch network for chronic kidney disease screening based on ultrasound images.
Frontiers Inf. Technol. Electron. Eng., 2020

Dual-Level Selective Transfer Learning for Intrahepatic Cholangiocarcinoma Segmentation in Non-enhanced Abdominal CT.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand Radiographs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Fully 3D Cascaded Framework for Pancreas Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

A Hierarchical Graph Network for 3D Object Detection on Point Clouds.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Flow-Mixup: Classifying Multi-labeled Medical Images with Corrupted Labels.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Time-aware metric embedding with asymmetric projection for successive POI recommendation.
World Wide Web, 2019

SMS: A Framework for Service Discovery by Incorporating Social Media Information.
IEEE Trans. Serv. Comput., 2019

Nodule-Plus R-CNN and Deep Self-Paced Active Learning for 3D Instance Segmentation of Pulmonary Nodules.
IEEE Access, 2019

Exploiting User Tagging for Web Service Co-Clustering.
IEEE Access, 2019

Prediction of Extubation Failure for Intensive Care Unit Patients Using Light Gradient Boosting Machine.
IEEE Access, 2019

LSRC: A Long-Short Range Context-Fusing Framework for Automatic 3D Vertebra Localization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-view Learning with Feature Level Fusion for Cervical Dysplasia Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Multi-modal Attention Network Learning for Semantic Source Code Retrieval.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Multi-Modal Fusion Learning For Cervical Dysplasia Diagnosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.
World Wide Web, 2018

Exploiting cross-source knowledge for warming up community question answering services.
Neurocomputing, 2018

Dense Convolutional Binary-Tree Networks for Lung Nodule Classification.
IEEE Access, 2018

Deep Active Self-paced Learning for Accurate Pulmonary Nodule Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Framework for Identifying Diabetic Retinopathy Based on Anti-noise Detection and Attention-Based Fusion.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Improving automatic source code summarization via deep reinforcement learning.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Exploiting Geographical Location for Team Formation in Social Coding Sites.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

A Novel Framework for Service Set Recommendation in Mashup Creation.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

A Broad Learning Approach for Context-Aware Mobile Application Recommendation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Modern Service Industry and Crossover Services: Development and Trends in China.
IEEE Trans. Serv. Comput., 2016

PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Temporal Pattern Based QoS Prediction.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Exploiting Heterogeneous Information for Tag Recommendation in API Management.
Proceedings of the IEEE International Conference on Web Services, 2016

Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2016

Meta-Path Based Service Recommendation in Heterogeneous Information Networks.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Personalized API Recommendation via Implicit Preference Modeling.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub.
Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering, 2016

2015
Trust-aware media recommendation in heterogeneous social networks.
World Wide Web, 2015

Time-Aware API Popularity Prediction via Heterogeneous Features.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Manifold-Learning Based API Recommendation for Mashup Creation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

CASE: A Platform for Crowdsourcing Based API Search.
Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Crowdsourcing Based API Search via Leveraging Twitter Lists Information.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Instant Recommendation for Web Services Composition.
IEEE Trans. Serv. Comput., 2014

Clustering Web services to facilitate service discovery.
Knowl. Inf. Syst., 2014

Modeling and exploiting tag relevance for Web service mining.
Knowl. Inf. Syst., 2014

Trust-Based Personalized Service Recommendation: A Network Perspective.
J. Comput. Sci. Technol., 2014

Modelling and exploring historical records to facilitate service composition.
Int. J. Web Grid Serv., 2014

Co-Clustering WSDL Documents to Bootstrap Service Discovery.
Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014

SLQ: a user-friendly graph querying system.
Proceedings of the International Conference on Management of Data, 2014

Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

2013
Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering.
IEEE Trans. Syst. Man Cybern. Syst., 2013

Static and Dynamic Structural Correlations in Graphs.
IEEE Trans. Knowl. Data Eng., 2013

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm.
Clust. Comput., 2013

Collaborative QoS Prediction via Matrix Factorization and Topic Model.
Proceedings of the 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications, 2013

Collaborative QoS Prediction via Feedback-Based Trust Model.
Proceedings of the 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications, 2013

FTCRank: Ranking Components for Building Highly Reliable Cloud Applications.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

A Semantic-Based Dual Caching System for Nomadic Web Service.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

WT-LDA: User Tagging Augmented LDA for Web Service Clustering.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

gIceberg: Towards iceberg analysis in large graphs.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

iNewsBox: modeling and exploiting implicit feedback for building personalized news radio.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Content-boosted maximum margin matrix factorization for Flickr group recommendation.
Proceedings of the 2013 Workshop on Data-Driven User Behavioral Modelling and Mining from Social Media, 2013

Full Recognition of Massive Products Based on Property Set.
Proceedings of the IEEE International Congress on Big Data, 2013

UCOS: Enhanced Online Skyline Computation by User Clustering.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

2012
Composite Service Recommendation Based on Bayes Theorem.
Int. J. Web Serv. Res., 2012

Titan: a system for effective web service discovery.
Proceedings of the 21st World Wide Web Conference, 2012

MapReduce Based Skyline Services Selection for QoS-aware Composition.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

MapReduce Skyline Query Processing with a New Angular Partitioning Approach.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

WSCRec: Utilizing Historical Information to Facilitate Web Service Composition.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

WSTRank: Ranking Tags to Facilitate Web Service Mining.
Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

2011
Assessing and ranking structural correlations in graphs.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

AWSP: An Automatic Web Service Planner Based on Heuristic State Space Search.
Proceedings of the IEEE International Conference on Web Services, 2011

Data-Dependency Aware Trust Evaluation for Service Choreography.
Proceedings of the IEEE International Conference on Web Services, 2011

WTCluster: Utilizing Tags for Web Services Clustering.
Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

Reference Models for Saas Oriented Business Workflow Management Systems.
Proceedings of the IEEE International Conference on Services Computing, 2011

QoS-Based Distributed Service Selection in Large-Scale Web Services.
Proceedings of the IEEE International Conference on Services Computing, 2011

CBBCM: Clustering Based Automatic Service Composition.
Proceedings of the IEEE International Conference on Services Computing, 2011

An Enhanced QoS Prediction Approach for Service Selection.
Proceedings of the IEEE International Conference on Services Computing, 2011

2010
Service Recommendation: Similarity-Based Representative Skyline.
Proceedings of the 6th World Congress on Services, 2010

A C_net-based Verification of Web Service Compositions.
Proceedings of the International Conference on Service Sciences, 2010

Automatic Composition of Semantic Web Services An Enhanced State Space Search Approach.
Proceedings of the International Conference on Service Sciences, 2010

QoS-Driven Dynamic Reconfiguration of the SOA Based Software.
Proceedings of the International Conference on Service Sciences, 2010

Analyzing Behavioral Substitution of Web Services Based on Pi-calculus.
Proceedings of the IEEE International Conference on Web Services, 2010

Recommendation on Uncertain Services.
Proceedings of the IEEE International Conference on Web Services, 2010

Improve Service Interface Adaptation Using Sub-ontology Extraction.
Proceedings of the 2010 IEEE International Conference on Services Computing, 2010

2009
Computing compatibility in dynamic service composition.
Knowl. Inf. Syst., 2009

An Efficient Service Discovery Method and its Application.
Int. J. Web Serv. Res., 2009

Variable message sign and dynamic regional traffic guidance.
IEEE Intell. Transp. Syst. Mag., 2009

Simulation Study of Public Goods Experiment.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2009

Towards Adaptation of Service Interface Semantics.
Proceedings of the IEEE International Conference on Web Services, 2009

Bayesian network based services recommendation.
Proceedings of the 4th IEEE Asia-Pacific Services Computing Conference, 2009

Ontology Alignment Based Service Interface Adaptation.
Proceedings of the 2009 IEEE International Conference on Services Computing (SCC 2009), 2009

Improving Scalability of Software Cloud for Composite Web Services.
Proceedings of the IEEE International Conference on Cloud Computing, 2009

2008
An efficient two-phase service discovery mechanism.
Proceedings of the 17th International Conference on World Wide Web, 2008

Modeling and Design of Regional Traffic Dynamic Guidance Algorithm.
Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008

Service Behavioral Adaptation Based on Dependency Graph.
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008

Facilitating the Flexible Modeling of Human-Driven Workflow in BPEL.
Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2007
Using Improved FOAF to Enhance BPEL-extracted RBAC Capability.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Inverted Indexing for Composition-Oriented Service Discovery.
Proceedings of the 2007 IEEE International Conference on Web Services (ICWS 2007), 2007

Automating Service Matchmaking using Type Theory.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

Exploring Dependency between Interfaces in Service Matchmaking.
Proceedings of the 2007 IEEE International Conference on Services Computing (SCC 2007), 2007

2006
Intelligent Transportation Information Sharing and Service Integration in Semantic Grid Environment.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Expressing Service and Query Behavior Using pi-Calculus for Matchmaking.
Proceedings of the 2006 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2006), 2006

Service Matchmaking Based on Semantics and Interface Dependencies.
Proceedings of the Advances in Web-Age Information Management, 2006

Modeling Service Compatibility with Pi-calculus for Choreography.
Proceedings of the Conceptual Modeling, 2006

Service Classification Using Adaptive Back-Propagation Neural Network and Semantic Similarity.
Proceedings of the 10th International Conference on CSCW in Design, 2006

Describing and Verifying Web Service Using Type Theory.
Proceedings of the 10th International Conference on CSCW in Design, 2006

Exploring the Flexible Workflow Technology to Automate Service Composition.
Proceedings of the Semantic Web, 2006

Using State Machine to Integrate Human Activity into BPEL in Dartflow.
Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

ITSGrid: A Novel Integrated Intelligent Transportation Information and Service Platform.
Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

Consideration of Operation Composition in Semantic Service Matchmaking.
Proceedings of the 2006 IEEE International Conference on Services Computing (SCC 2006), 2006

2005
DartGrid II: A Semantic Grid Platform for ITS.
IEEE Intell. Syst., 2005

DART-Man: a management platform for Web services based on semantic Web technologies.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Similarity-based Web Service Matchmaking.
Proceedings of the 2005 IEEE International Conference on Services Computing (SCC 2005), 2005


  Loading...