Li-zhen Cui

Orcid: 0000-0002-8262-8883

According to our database1, Li-zhen Cui authored at least 391 papers between 2004 and 2024.

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Bibliography

2024
A Mixed-Bouncing Based 6G Multi-UAV Integrated Channel Model With Consistency and Non-Stationarity.
IEEE Trans. Wirel. Commun., October, 2024

Soil Organic Carbon Estimation via Remote Sensing and Machine Learning Techniques: Global Topic Modeling and Research Trend Exploration.
Remote. Sens., September, 2024

Explicit Knowledge Graph Reasoning for Conversational Recommendation.
ACM Trans. Intell. Syst. Technol., August, 2024

Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification.
Computing, August, 2024

Package Arrival Time Prediction via Knowledge Distillation Graph Neural Network.
ACM Trans. Knowl. Discov. Data, June, 2024

Research on Input Schemes for Polarimetric SAR Classification Using Deep Learning.
Remote. Sens., June, 2024

Video frame interpolation via spatial multi-scale modelling.
IET Comput. Vis., June, 2024

A Deep Learning Classification Scheme for PolSAR Image Based on Polarimetric Features.
Remote. Sens., May, 2024

Medicine Package Recommendation via Dual-Level Interaction Aware Heterogeneous Graph.
IEEE J. Biomed. Health Informatics, April, 2024

Dynamic Recommendation Based on Graph Diffusion and Ebbinghaus Curve.
IEEE Trans. Comput. Soc. Syst., April, 2024

Distributed Learning for Large-Scale Models at Edge With Privacy Protection.
IEEE Trans. Computers, April, 2024

System Development and Evaluation of Human-Computer Interaction Approach for Assessing Functional Impairment for People with Mild Cognitive Impairment: A Pilot Study.
Int. J. Hum. Comput. Interact., April, 2024

Computational Experiments for Complex Social Systems: Experiment Design and Generative Explanation.
IEEE CAA J. Autom. Sinica, April, 2024

Estimating package arrival time via heterogeneous hypergraph neural network.
Expert Syst. Appl., March, 2024

TADA: Temporal-aware Adversarial Domain Adaptation for patient outcomes forecasting.
Expert Syst. Appl., March, 2024

Personalized Federated Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation.
IEEE Trans. Knowl. Data Eng., February, 2024

CMAR: A Pipeline for Cross-Modal Alignment and 3-D Reconstruction of Coronary Arteries Based on Key Bifurcation Vessel Measurements.
IEEE Trans. Instrum. Meas., 2024

DiffCoder: Enhancing Large Language Model on API Invocation via Analogical Code Exercises.
Proc. ACM Softw. Eng., 2024

Augmentation blending with clustering-aware outlier factor: An outlier-driven perspective for enhanced contrastive learning.
Knowl. Based Syst., 2024

Unified bi-encoder bispace-discriminator disentanglement for cross-domain echocardiography segmentation.
Knowl. Based Syst., 2024

Diff-MGR: Dynamic causal graph attention and pattern reproduction guided diffusion model for multivariate time series probabilistic forecasting.
Inf. Sci., 2024

A Survey of Personalized Medicine Recommendation.
Int. J. Crowd Sci., 2024

IoV environment exploring coordination: A federated learning approach.
Digit. Commun. Networks, 2024

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

Multi-modal Food Recommendation using Clustering and Self-supervised Learning.
CoRR, 2024

A Thorough Performance Benchmarking on Lightweight Embedding-based Recommender Systems.
CoRR, 2024

CodeS: Natural Language to Code Repository via Multi-Layer Sketch.
CoRR, 2024

Development of a novel machine learning-based approach for brain function assessment and integrated software solution.
Adv. Eng. Informatics, 2024

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations.
Proceedings of the ACM on Web Conference 2024, 2024

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation.
Proceedings of the ACM on Web Conference 2024, 2024

Lightweight Embeddings for Graph Collaborative Filtering.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

From Question to Exploration: Can Classic Test-Time Adaptation Strategies Be Effectively Applied in Semantic Segmentation?
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

CausCLIP: Causality-Adapting Visual Scoring of Visual Language Models for Few-Shot Learning in Portable Echocardiography Quality Assessment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Personalized Federated Learning for Cross-City Traffic Prediction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Privacy-Preserving Cross-Organization Process Mining Based on Blockchain and Cryptography.
Proceedings of the IEEE International Conference on Web Services, 2024

A Self-organizing Collaborative Crowdsourcing Framework for Improving Service Utility.
Proceedings of the IEEE International Conference on Web Services, 2024

Edge-LLM: A Collaborative Framework for Large Language Model Serving in Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2024

Causal Denoising Framework for Generalizable Recommendation System using Graph Neural Network.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

An LLM can Fool Itself: A Prompt-Based Adversarial Attack.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

HeteFedRec: Federated Recommender Systems with Model Heterogeneity.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi-objective Graph Neural Network Explanatory Model with Local and Global Information Preservation.
Proceedings of the Database Systems for Advanced Applications, 2024

Multi-scale Residual Graph Attention Network for Major Depressive Disorder Recognition.
Proceedings of the Database Systems for Advanced Applications, 2024

A Complete Protection, Certification and Traceability System for Academic Degrees Based on Collaborative Storage on and Off the Chain.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Multi-modal Food Recommendation with Health-aware Knowledge Distillation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LAMRec: Label-aware Multi-view Drug Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Physics-guided Active Sample Reweighting for Urban Flow Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Efficient Auction Design with ROI Constraints.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

CodeM: Less Data Yields More Versatility via Ability Matrix.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A Non-Stationary Multi-UAV Cooperative Channel Model for 6G Massive MIMO mmWave Communications.
IEEE Trans. Wirel. Commun., December, 2023

Towards Personalized Federated Learning.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

EAPR: explainable and augmented patient representation learning for disease prediction.
Health Inf. Sci. Syst., December, 2023

Modeling Long- and Short-Term User Preferences via Self-Supervised Learning for Next POI Recommendation.
ACM Trans. Knowl. Discov. Data, November, 2023

Heterogeneous Collaborative Learning for Personalized Healthcare Analytics via Messenger Distillation.
IEEE J. Biomed. Health Informatics, November, 2023

HealthNet: A Health Progression Network via Heterogeneous Medical Information Fusion.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

MolFPG: Multi-level fingerprint-based Graph Transformer for accurate and robust drug toxicity prediction.
Comput. Biol. Medicine, September, 2023

Asymmetric similarity-preserving discrete hashing for image retrieval.
Appl. Intell., May, 2023

Few-shot partial multi-label learning via prototype rectification.
Knowl. Inf. Syst., April, 2023

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning.
Briefings Bioinform., January, 2023

Lung Cancer Subtype Diagnosis by Fusing Image-Genomics Data and Hybrid Deep Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer.
Int. J. Crowd Sci., 2023

Music Intervention in Human Life, Work, and Disease: A Survey.
Int. J. Crowd Sci., 2023

A Critical Look at Classic Test-Time Adaptation Methods in Semantic Segmentation.
CoRR, 2023

Unsupervised Representation Learning for Time Series: A Review.
CoRR, 2023

FedMAE: Federated Self-Supervised Learning with One-Block Masked Auto-Encoder.
CoRR, 2023

A Survey on Federated Recommendation Systems.
CoRR, 2023

An reinforcement learning approach for allocating software resources.
Concurr. Comput. Pract. Exp., 2023

Interaction-level Membership Inference Attack Against Federated Recommender Systems.
Proceedings of the ACM Web Conference 2023, 2023

Crowdsourcing-based Model Testing in Federated Learning.
Proceedings of the 22nd IEEE International Conference on Trust, 2023

Continuous Input Embedding Size Search For Recommender Systems.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-View Graph Contrastive Learning for Urban Region Representation.
Proceedings of the International Joint Conference on Neural Networks, 2023

CSP-RM: Reputation Management Decision Support for Crowdsourcing Service Providers.
Proceedings of the IEEE International Conference on Web Services, 2023

TBPCS: Trustworthy Cross Department Business Process Collaboration Service Based on Blockchain.
Proceedings of the IEEE International Conference on Web Services, 2023

ParaTra: A Parallel Transformer Inference Framework for Concurrent Service Provision in Edge Computing.
Proceedings of the IEEE International Conference on Web Services, 2023

Delivery Time Prediction Using Large-Scale Graph Structure Learning Based on Quantile Regression.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Cross-Domain Disentangled Learning for E-Commerce Live Streaming Recommendation.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Space-Time Non-Stationary and Consistent Model for 6G Multi-UAV Cooperative Channels.
Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Sample and Feature Enhanced Few-Shot Knowledge Graph Completion.
Proceedings of the Database Systems for Advanced Applications, 2023

Dual Graph Multitask Framework for Imbalanced Delivery Time Estimation.
Proceedings of the Database Systems for Advanced Applications, 2023

DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

CMT: Cross-modal Memory Transformer for Medical Image Report Generation.
Proceedings of the Database Systems for Advanced Applications, 2023

Logic Event Graph Enhanced Narrative Generation.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

Towards Distributed Graph Representation Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

A Comprehensive Review of the Oversmoothing in Graph Neural Networks.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

A Virtual Staining Method for Immunohistochemical Images of Breast Cancer.
Proceedings of the 16th International Congress on Image and Signal Processing, 2023

FedCIO: Efficient Exact Federated Unlearning with Clustering, Isolation, and One-shot Aggregation.
Proceedings of the IEEE International Conference on Big Data, 2023

Brain Functional Residual Temporal Convolution Network for Major Depressive Disorder Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Advancing Precision Medicine: Treatment Regimen Recommendations via Siamese Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Time Fairness-Based Application Offloading in Mobile Edge Computing with Individual QoS Guarantee.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Utility Maximizer or Value Maximizer: Mechanism Design for Mixed Bidders in Online Advertising.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

MMTN: Multi-Modal Memory Transformer Network for Image-Report Consistent Medical Report Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Reinforced KGs reasoning for explainable sequential recommendation.
World Wide Web, 2022

NoiLin: Improving adversarial training and correcting stereotype of noisy labels.
Trans. Mach. Learn. Res., 2022

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks.
IEEE Trans. Knowl. Data Eng., 2022

TRSA-Net: Task Relation Spatial Co-Attention for Joint Segmentation, Quantification and Uncertainty Estimation on Paired 2D Echocardiography.
IEEE J. Biomed. Health Informatics, 2022

GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
ACM Trans. Intell. Syst. Technol., 2022

Auxiliary Learning for Relation Extraction.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

A Mixed-Bouncing Based Non-Stationary Model for 6G Massive MIMO mmWave UAV Channels.
IEEE Trans. Commun., 2022

An Intelligent Genetic Scheme for Multi-Objective Collaboration Services Scheduling.
Symmetry, 2022

Wetlands Classification Using Quad-Polarimetric Synthetic Aperture Radar Through Convolutional Neural Networks Based on Polarimetric Features.
Remote. Sens., 2022

Event-Stream Representation for Human Gaits Identification Using Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

MVFStain: Multiple virtual functional stain histopathology images generation based on specific domain mapping.
Medical Image Anal., 2022

Self-paced annotations of crowd workers.
Knowl. Inf. Syst., 2022

An Efficient Reinforcement Learning Game Framework for UAV-Enabled Wireless Sensor Network Data Collection.
J. Comput. Sci. Technol., 2022

CK-Encoder: Enhanced Language Representation for Sentence Similarity.
Int. J. Crowd Sci., 2022

Research Roadmap of Service Ecosystems: A Crowd Intelligence Perspective.
Int. J. Crowd Sci., 2022

Estimating urban functional distributions with semantics preserved POI embedding.
Int. J. Geogr. Inf. Sci., 2022

Joint Attention Networks with Inherent and Contextual Preference-Awareness for Successive POI Recommendation.
Data Sci. Eng., 2022

Towards AI-Empowered Crowdsourcing.
CoRR, 2022

Signaling repurposable drug combinations against COVID-19 by developing the heterogeneous deep herb-graph method.
Briefings Bioinform., 2022

StackTADB: a stacking-based ensemble learning model for predicting the boundaries of topologically associating domains (TADs) accurately in fruit flies.
Briefings Bioinform., 2022

A design method for an intelligent manufacturing and service system for rehabilitation assistive devices and special groups.
Adv. Eng. Informatics, 2022

Unified Question Generation with Continual Lifelong Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Efficient Reachability Query with Extreme Labeling Filter.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Are Graph Augmentations Necessary?: Simple Graph Contrastive Learning for Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Sequential Recommendation with Graph Contrastive Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Is it fair? Resource allocation for differentiated services on demands.
Proceedings of the IEEE International Conference on Web Services, 2022

Combining User Inherent and Contextual Preferences for Online Recommendation in Location-Based Services.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Balancing Supply and Demand for Mobile Crowdsourcing Services.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

Reachability Labeling for Distributed Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

SAER: Sentiment-Opinion Alignment Explainable Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

Similarity-Aware Collaborative Learning for Patient Outcome Prediction.
Proceedings of the Database Systems for Advanced Applications, 2022

KdTNet: Medical Image Report Generation via Knowledge-Driven Transformer.
Proceedings of the Database Systems for Advanced Applications, 2022

Clinical Phenotyping Prediction via Auxiliary Task Selection and Adaptive Shared-Space Correction.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

XIVA: An Intelligent Voice Assistant with Scalable Capabilities for Educational Metaverse.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Towards Heterogeneous Federated Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Temporal Hypergraph for Personalized Clinical Pathway Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Feature-Guided Logical Perception Network for Health Risk Prediction.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

A high-concurrency blockchain model for large-scale medical cohort data storage and sharing.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Disease Risk Prediction via Heterogeneous Graph Attention Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

KdINet: Knowledge-driven Interpretable Network for Medical Imaging Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

CCOM: Cost-Efficient and Collusion-Resistant Oracle Mechanism for Smart Contracts.
Proceedings of the Information Security and Privacy - 27th Australasian Conference, 2022

2021
Residual Attention Network-Based Confidence Estimation Algorithm for Non-Holonomic Constraint in GNSS/INS Integrated Navigation System.
IEEE Trans. Veh. Technol., 2021

LeaD: Learn to Decode Vibration-based Communication for Intelligent Internet of Things.
ACM Trans. Sens. Networks, 2021

FENet: A Frequency Extraction Network for Obstructive Sleep Apnea Detection.
IEEE J. Biomed. Health Informatics, 2021

Disease Prediction via Graph Neural Networks.
IEEE J. Biomed. Health Informatics, 2021

Quantitative Analysis of the Research Trends and Areas in Grassland Remote Sensing: A Scientometrics Analysis of Web of Science from 1980 to 2020.
Remote. Sens., 2021

Group task allocation approach for heterogeneous software crowdsourcing tasks.
Peer-to-Peer Netw. Appl., 2021

ProAID: path-based reasoning for self-attentional disease prediction.
Knowl. Inf. Syst., 2021

Noise-robust Deep Cross-Modal Hashing.
Inf. Sci., 2021

A hybrid pre-joined service network in graph database and memory for service composition.
Int. J. Web Grid Serv., 2021

A portable HCI system-oriented EEG feature extraction and channel selection for emotion recognition.
Int. J. Intell. Syst., 2021

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks.
Int. J. Distributed Sens. Networks, 2021

Behavioral data assists decisions: exploring the mental representation of digital-self.
Int. J. Crowd Sci., 2021

Achieving Approximate Global Optimization of Truth Inference for Crowdsourcing Microtasks.
Data Sci. Eng., 2021

Graph Augmentation-Free Contrastive Learning for Recommendation.
CoRR, 2021

Cross-modal Zero-shot Hashing by Label Attributes Embedding.
CoRR, 2021

Open-Set Crowdsourcing using Multiple-Source Transfer Learning.
CoRR, 2021

Crowdsourcing with Meta-Workers: A New Way to Save the Budget.
CoRR, 2021

Major Depressive Disorder Recognition and Cognitive Analysis Based on Multi-layer Brain Functional Connectivity Networks.
CoRR, 2021

PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion.
CoRR, 2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.
CoRR, 2021

NoiLIn: Do Noisy Labels Always Hurt Adversarial Training?
CoRR, 2021

Where are we in embedding spaces? A Comprehensive Analysis on Network Embedding Approaches for Recommender Systems.
CoRR, 2021

iDNA-ABT: advanced deep learning model for detecting DNA methylation with adaptive features and transductive information maximization.
Bioinform., 2021

Learning embedding features based on multisense-scaled attention architecture to improve the predictive performance of anticancer peptides.
Bioinform., 2021

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.
Briefings Bioinform., 2021

Iterative feature representation algorithm to improve the predictive performance of N7-methylguanosine sites.
Briefings Bioinform., 2021

PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.
Briefings Bioinform., 2021

Optimizing Smart Grid Operations from the Demand Side.
AI Mag., 2021

Graph Embedding for Recommendation against Attribute Inference Attacks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

LMFF: efficient and scalable layered materials force field on heterogeneous many-core processors.
Proceedings of the International Conference for High Performance Computing, 2021

Where are we in embedding spaces?
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Few-Shot Partial-Label Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Enhancing Viewing Experience of Generated Visual Storylines for Promotional Videos.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Few-Shot Partial Multi-Label Learning.
Proceedings of the IEEE International Conference on Data Mining, 2021

Crowdsourcing with Self-paced Workers.
Proceedings of the IEEE International Conference on Data Mining, 2021

A Survey on Knowledge Enhanced EHR Data Mining.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Credit Default Prediction via Explainable Ensemble Learning.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Knowledge Distillation In Medical Data Mining: A Survey.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Practices of Using Blockchain Technology in e-Learning.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Music Rhythm Matching Based on Dynamic Step Frequency.
Proceedings of the ICCSE '21: 5th International Conference on Crowd Science and Engineering, Jinan, China, October 16, 2021

Personality Traits Prediction Based on Sparse Digital Footprints via Discriminative Matrix Factorization.
Proceedings of the Database Systems for Advanced Applications, 2021

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Self-Supervised Graph Co-Training for Session-based Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hyperbolic Hypergraphs for Sequential Recommendation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Multi-modal Information Fusion-powered Regional Covid-19 Epidemic Forecasting.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Personalized Clinical Pathway Recommendation via Attention Based Pre-training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Securing Cyber-Physical Social Interactions on Wrist-Worn Devices.
ACM Trans. Sens. Networks, 2020

Deep RetinaNet for Dynamic Left Ventricle Detection in Multiview Echocardiography Classification.
Sci. Program., 2020

Discovering Influential Positions in RFID-Based Indoor Tracking Data.
Inf., 2020

Service composition based on pre-joined service network in graph database.
Int. J. Web Grid Serv., 2020

Feature data processing: Making medical data fit deep neural networks.
Future Gener. Comput. Syst., 2020

AdaptScale: An adaptive data scaling controller for improving the multiple performance requirements in Clouds.
Future Gener. Comput. Syst., 2020

Enhance Social Recommendation with Adversarial Graph Convolutional Networks.
CoRR, 2020

RSCVC: Row-based semantic cache with incremental versioning consistency.
Concurr. Comput. Pract. Exp., 2020

Detection and diagnosis of myocarditis in young patients using ECG analysis based on artificial neural networks.
Computing, 2020

Automatic diagnosis of fungal keratitis using data augmentation and image fusion with deep convolutional neural network.
Comput. Methods Programs Biomed., 2020

Detecting vulnerable plaque with vulnerability index based on convolutional neural networks.
Comput. Medical Imaging Graph., 2020

Addressing the Challenges of Government Service Provision with AI.
AI Mag., 2020

Hierarchical Long Short-Term Memory Network for Cyberattack Detection.
IEEE Access, 2020

A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cranial Implant Design Using a Deep Learning Method with Anatomical Regularization.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

Unsupervised Graph Domain Adaptation for Neurodevelopmental Disorders Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Multi-interest Aware Recommendation in CrowdIntell Network.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Task Assignment with Consensus Decision for Spatial Crowdsouring.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Personalized Itemset Mapping for Cross-Domain Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

An AI-empowered Visual Storyline Generator.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Answer Aggregation for Crowdsourcing Microtasks using Approximate Global Optimal Searching.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger.
Proceedings of the 37th International Conference on Machine Learning, 2020

Group Recommendation with Latent Voting Mechanism.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Commonsense Knowledge Adversarial Dataset that Challenges ELECTRA.
Proceedings of the 16th International Conference on Control, 2020

Predicting Hospital Readmission Using Graph Representation Learning Based on Patient and Disease Bipartite Graph.
Proceedings of the Database Systems for Advanced Applications, 2020

Detection of Wrong Disease Information Using Knowledge-Based Embedding and Attention.
Proceedings of the Database Systems for Advanced Applications, 2020

An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Epistasis Detection using Heterogeneous Bio-molecular Network.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

CLUE: Personalized Hospital Readmission Prediction Against Data Insufficiency under Imbalanced-Data Environment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Predicting Adverse Drug-Drug Interactions via Semi-supervised Variational Autoencoders.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

A Pruned DOM-Based Iterative Strategy for Approximate Global Optimization in Crowdsourcing Microtasks.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

PIDS: An Intelligent Electric Power Management Platform.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Generating Engaging Promotional Videos for E-commerce Platforms (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Personality Traits Prediction Based on Users' Digital Footprints in Social Networks via Attention RNN.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

A Pre-joined Service Composition Approach with Dynamic Services in a Graph Database.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

D-colSimulation: A Distributed Approach for Frequent Graph Pattern Mining based on colSimulation in a Single Large Graph.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Power Rationing for Tradeoff Between Energy Consumption and Profit in Multimedia Heterogeneous Networks.
IEEE J. Sel. Areas Commun., 2019

Projecting real world into CrowdIntell network: a methodology.
Int. J. Crowd Sci., 2019

An anomaly detection method to improve the intelligent level of smart articles based on multiple group correlation probability models.
Int. J. Crowd Sci., 2019

Bridges the crowd: rim chain framework.
Int. J. Crowd Sci., 2019

A highly efficient algorithm towards optimal data storage and regeneration cost in multiple clouds.
Future Gener. Comput. Syst., 2019

Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation.
CoRR, 2019

Heterogeneous network-based chronic disease progression mining.
Big Data Min. Anal., 2019

Abnormal Group-Based Joint Medical Fraud Detection.
IEEE Access, 2019

Automatic Knowledge Discovery in Lecturing Videos via Deep Representation.
IEEE Access, 2019

An Interpretable Disease Onset Predictive Model Using Crossover Attention Mechanism From Electronic Health Records.
IEEE Access, 2019

Mixed Reality Storytelling Environments Based on Tangible User Interface: Take Origami as an Example.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Optimization Strategies for Real-Time Rendering of Virtual Scenes on Heterogeneous Mobile Devices.
Proceedings of the 2019 IEEE SmartWorld, 2019

Enhancing Collaborative Filtering with Generative Augmentation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Balancing of the quality-of-service, energy and revenue of base stations in wireless networks via tullock contests.
Proceedings of the International Symposium on Quality of Service, 2019

Three-Dimensional Reconstruction of Intravascular Ultrasound Images Based on Deep Learning.
Proceedings of the Digital TV and Wireless Multimedia Communication, 2019

Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

FASS: A Fairness-Aware Approach for Concurrent Service Selection with Constraints.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Value-Oriented Ranking of Online Reviews Based on Reviewer-Influenced Graph.
Proceedings of the Database Systems for Advanced Applications, 2019

A Dynamic Difficulty-Sensitive Worker Distribution Model for Crowdsourcing Quality Management.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019

Generating Persuasive Visual Storylines for Promotional Videos.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Method of Analysis on Consumer Behavior Characteristics Based on Self-supervised Learning.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

Infer Latent Privacy for Attribute Network in Knowledge Graph.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Biclustering-sim: A Novel Method to Identify Abnormal Co-occurrence Medical Visit Behaviors.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Ethically Aligned Multi-agent Coordination to Enhance Social Welfare.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Ethically Aligned Opportunistic Scheduling for Productive Laziness.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC.
Wirel. Commun. Mob. Comput., 2018

A Genetic Algorithm Based Data Replica Placement Strategy for Scientific Applications in Clouds.
IEEE Trans. Serv. Comput., 2018

An Algorithm for Finding the Minimum Cost of Storing and Regenerating Datasets in Multiple Clouds.
IEEE Trans. Cloud Comput., 2018

A Heuristic Model for Supporting Users' Decision-Making in Privacy Disclosure for Recommendation.
Secur. Commun. Networks, 2018

Data Driven Congestion Trends Prediction of Urban Transportation.
IEEE Internet Things J., 2018

TPGraph: a hospital readmission prediction method based on temporal phenotype graphs.
Int. J. Data Min. Bioinform., 2018

Towards data-driven software engineering skills assessment.
Int. J. Crowd Sci., 2018

Performance measurement of data flow processing employing software defined architecture.
Future Gener. Comput. Syst., 2018

K-Connected Cores Computation in Large Dual Networks.
Data Sci. Eng., 2018

Automatic Sleep Stage Classification Based on Convolutional Neural Network and Fine-Grained Segments.
Complex., 2018

A New Motor Imagery EEG Classification Method FB-TRCSP+RF Based on CSP and Random Forest.
IEEE Access, 2018

Automatic Tongue Verification Based on Appearance Manifold Learning in Image Sequences for the Internet of Medical Things Platform.
IEEE Access, 2018

A Benchmark Database and Baseline Evaluation for Fall Detection Based on Wearable Sensors for the Internet of Medical Things Platform.
IEEE Access, 2018

An Efficient Fraud Identification Method Combining Manifold Learning and Outliers Detection in Mobile Healthcare Services.
IEEE Access, 2018

Mention Recommendation for Multimodal Microblog with Cross-attention Memory Network.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

User Location Prediction in Mobile Crowdsourcing Services.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

LBTask: A Benchmark for Spatial Crowdsourcing Platforms.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers.
Proceedings of the 3rd International Conference on Crowd Science and Engineering, 2018

Answer Aggregation of Crowdsourcing Employing an Improved EM-Based Approach.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Rim Chain: Bridge the Provision and Demand Among the Crowd.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

MulAV: Multilevel and Explainable Detection of Android Malware with Data Fusion.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Artificial Intelligence Powered MOOCs: A Brief Survey.
Proceedings of the IEEE International Conference on Agents, 2018

Resource Scheduling for Energy-Efficient in Cloud-Computing Data Centers.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Opportunistic Work-Rest Scheduling for Productive Aging.
Proceedings of the Social Computing and Social Media. Technologies and Analytics, 2018

K-Connected Cores Computation in Large Dual Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

Predicting Clinical Visits Using Recurrent Neural Networks and Demographic Information.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Spatial Task Allocation Based on User Trajectory Prediction.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

Task Assignments in Complex Collaborative Crowdsourcing.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

A Collaboration Services Scheduling Method Based on Intelligent Genetic Algorithm.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2018

An Efficient Algorithm for Runtime Minimum Cost Data Storage and Regeneration for Business Process Management in Multiple Clouds.
Proceedings of the Business Process Management Workshops, 2018

AstroBase: Distributed Long-Term Astronomical Database.
Proceedings of the Big Scientific Data Management, 2018

SmartHS: An AI Platform for Improving Government Service Provision.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Framework for Online Process Concept Drift Detection from Event Streams.
Proceedings of the 2018 IEEE International Conference on Services Computing, 2018

2017
A Privacy Protection Evaluation Mechanism for Dynamic Data Based on Chunk-Confusion.
J. Signal Process. Syst., 2017

Crowd wisdom drives intelligent manufacturing.
Int. J. Crowd Sci., 2017

Complex crowdsourcing task allocation strategies employing supervised and reinforcement learning.
Int. J. Crowd Sci., 2017

SonicOperator: Ultrasonic gesture recognition with deep neural network on mobiles.
Proceedings of the 2017 IEEE SmartWorld, 2017

QoS evaluation of prioritized data plane service employing queueing model.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Congestion Prediction of Urban Traffic Employing SRBDP.
Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

A Pay as You Use Resource Security Provision Approach Based on Data Graph, Information Graph and Knowledge Graph.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30, 2017

Real-Time Soft Resource Allocation in Multi-Tier Web Service Systems.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Selling Reserved Instances through Pay-as-You-Go Model in Cloud Computing.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Nash Equilibrium and Decentralized Pricing for QoS Aware Service Composition in Cloud Computing Environments.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Automated Performance Evaluation for Multi-tier Cloud Service Systems Subject to Mixed Workloads.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Performance Analysis of Cloud Computing Centers Serving Parallelizable Rendering Jobs Using M/M/c/r Queuing Systems.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Optimal Crowds Contest Model for Crowdsourcing.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient Crowd-Powered Active Learning for Reliable Review Evaluation.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Learning Complex Crowdsourcing Task Allocation Strategies from Humans.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Empirical Study on Assessment Algorithms with Confidence in Crowdsourcing.
Proceedings of the 2nd International Conference on Crowd Science and Engineering, 2017

Efficient scheduling in crowdsourcing based on workers' mood.
Proceedings of the IEEE International Conference on Agents, 2017

Constructing Search as a Service Towards Non-deterministic and Not Validated Resource Environment with a Positive-Negative Strategy.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017

Crowd-enabled Pareto-Optimal Objects Finding Employing Multi-Pairwise-Comparison Questions.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Resource and performance prediction at high utilization for N-Tier cloud-based service systems.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

2016
CTP: A scheduling strategy to smooth response time fluctuations in multi-tier website system.
Microprocess. Microsystems, 2016

MapReduce short jobs optimization based on resource reuse.
Microprocess. Microsystems, 2016

A Sub Chunk-Confusion Based Privacy Protection Mechanism for Association Rules in Cloud Services.
Int. J. Softw. Eng. Knowl. Eng., 2016

Linear unsupervised hashing for ANN search in Euclidean space.
Neurocomputing, 2016

A Bayesian approach to performance modelling for multi-tenant applications using Gaussian models.
Int. J. High Perform. Comput. Netw., 2016

A Cost-Effective Strategy for Storing Scientific Datasets with Multiple Service Providers in the Cloud.
CoRR, 2016

Real Time Prediction on Revisitation Behaviors of Short-Term Type Commodities.
Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Optimizing Replica Exchange Strategy for Load Balancing in Multienant Databases.
Proceedings of the Web-Age Information Management - 17th International Conference, 2016

MTPGraph: A Data-Driven Approach to Predict Medical Risk Based on Temporal Profile Graph.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Privacy Protection Mechanism for NoSql Database Based on Data Chunks.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

A Permissioned Blockchain Framework for Supporting Instant Transaction and Dynamic Block Size.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

Model for Hiding Data Relationships Based on Chunk-Confusion in Cloud Computing.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

SOMH: A Self-Organizing Map Based Topology Preserving Hashing Method.
Proceedings of the MultiMedia Modeling - 22nd International Conference, 2016

Integrating Theoretical Modeling and Experimental Measurement for Soft Resource Allocation in Multi-tier Web Systems.
Proceedings of the IEEE International Conference on Web Services, 2016

An Optimal and Iterative Pricing Model for Multiclass IaaS Cloud Services.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

A Data Services-Based Quality Analysis System for the Life Cycle of Tire Production.
Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

SpatialGraphx: A Distributed Graph Computing Framework for Spatial and Temporal Data at Scale.
Proceedings of the 40th IEEE Annual Computer Software and Applications Conference, 2016

Collaborative Prediction Model of Disease Risk by Mining Electronic Health Records.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

E-commerce Blockchain Consensus Mechanism for Supporting High-Throughput and Real-Time Transaction.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Quality-Assure and Budget-Aware Task Assignment for Spatial Crowdsourcing.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Big Datasets for Research: A Survey on Flagship Conferences.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

A Hybrid Approach for Detecting Fraudulent Medical Insurance Claims: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

A Fraud Resilient Medical Insurance Claim System.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

SRConfig: An Empirical Method of Interdependent Soft Configurations for Improving Performance in n-Tier Application.
Proceedings of the IEEE International Conference on Services Computing, 2016

Maximizing the Availability of Process Services in Mobile Computing Environments.
Proceedings of the IEEE International Conference on Services Computing, 2016

A Self-Evolving Method of Data Model for Cloud-Based Machine Data Ingestion.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
PaddyFrog: systematically detecting confused deputy vulnerability in Android applications.
Secur. Commun. Networks, 2015

An Evolutionary Framework for Multi-agent Organizations.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

An Effective Hybrid Fraud Detection Method.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A Method of E-Commerce Trading Process Construction Based on PaaS Platform.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

Evaluation Mechanism of Privacy Protection on Dynamic Data Targeted at Data Partition.
Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications, 2015

UI Ripping in Android: Reverse Engineering of Graphical User Interfaces and its Application.
Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015

Hashing Multi-Instance Data from Bag and Instance Level.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

User Behavioral Context-Aware Service Recommendation for Personalized Mashups in Pervasive Environments.
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015

Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015

Performance and Resource Prediction at High Utilization for N-Tier Service Systems in Cloud an Experiment Driven Approach.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
A LNS-based data placement strategy for data-intensive e-science applications.
Int. J. Grid Util. Comput., 2014

Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art.
Proceedings of the 2014 10th International Conference on Semantics, 2014

SafeBrowsingCloud: Detecting Drive-by-Downloads Attack Using Cloud Computing Environment.
Proceedings of the Internet of Vehicles - Technologies and Services, 2014

A Context-Based Autonomous Construction Approach for Procedural Mashups.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

A context-based collaboration supported framework for E-commerce PaaS platform.
Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, 2014

Multi-tenant Service Composition Based on Granularity Computing.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
A Highly Practical Approach toward Achieving Minimum Data Sets Storage Cost in the Cloud.
IEEE Trans. Parallel Distributed Syst., 2013

An Algorithm for Cost-Effectively Storing Scientific Datasets with Multiple Service Providers in the Cloud.
Proceedings of the 9th IEEE International Conference on eScience, 2013

2012
Business Process Oriented Platform-as-a-Service Framework for Process Instances Intensive Applications.
Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

A Confidentiality-Guarantee Mechanism for SaaS.
Proceedings of the Enterprise Interoperability - 4th International IFIP Working Conference, 2012

A QoS-Aware Hyper-graph Based Method of Semantic Service Composition.
Proceedings of the Enterprise Interoperability - 4th International IFIP Working Conference, 2012

A Dynamic Web Service Composition Method Based on Viterbi Algorithm.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

A Service Provisioning Strategy Based on SPEA2 for SaaS Applications in Cloud.
Proceedings of the 2012 Second International Conference on Cloud and Green Computing, 2012

2011
An Adaptive Distribution Model for Multi-dimensional Data in Decentralized Environments.
Proceedings of the Web Information Systems and Mining - International Conference, 2011

A New QoS Prediction Approach Based on User Clustering and Regression Algorithms.
Proceedings of the IEEE International Conference on Web Services, 2011

A Transaction Management Model Based on Compensation Planning Graph for Web Services Composition.
Proceedings of the IEEE International Conference on Web Services, 2011

A workflow-oriented cloud computing framework and programming model for data intensive application.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

Service cooperation in PaaS platform based on planning method.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011

2010
An efficient service search strategy in decentralized e-business environments.
Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2010

A Multi-Dimensional Measuring Model for E-travel Service in Decentralized Network.
Proceedings of the International Conference on E-Business and E-Government, 2010

An impact analysis model for distributed Web service proces.
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

SMART: A platform for cross-domain business process collaboration.
Proceedings of the 2010 14th International Conference on Computer Supported Cooperative Work in Design, 2010

2009
A Multiple QoS Constrained Scheduling Strategy of Multiple Workflows for Cloud Computing.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009

A User Experience-Oriented Service Discovery Method with Clustering Technology.
Proceedings of the 2009 Second International Symposium on Computational Intelligence and Design, 2009

Towards a Decentralized Cooperative BRMS for Service Collaborative Enterprise.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A data-intensive workflow scheduling algorithm for large-scale cooperative work platform.
Proceedings of the 13th International Conference on Computers Supported Cooperative Work in Design, 2009

A Data-Intensive Workflow Scheduling Algorithm for Grid Computing.
Proceedings of the Fourth ChinaGrid Annual Conference, ChinaGrid 2009, Yantai, Shandong, 2009

Automatic Generation of Processes Based on Processes Semantic for Smartflow Pattern.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2009

2007
An Improvement of Matrix-based Clustering Method for Grouping Learners in E-Learning.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Toward Cooperative Designing of Customized Business Process in Web Service Environment.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

A Collaborative Framework for Exception Handling in Business Process Execution.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Discovering the Most Suitable Web Service in Collaboration Environment.
Proceedings of the Computer Supported Cooperative Work in Design IV, 2007

A New Concept Relatedness Measure of Heterogeneous Ontologies in Collaborative System.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Collaborative Design of Web Services Composition Process based Peer-to-Peer Architecture.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Automatic Composition of Web Services Based on Rules and Meta-Services.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

A Groupware-supported Workflow Model and its Applications in Electric Power Enterprise.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Sketching Interfaces for Remote Collaboration.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

An Extended Matching Method for Semantic Web Service in Collaboration Environment.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Research on the framework based on web service and ontology for sharing parts library in virtual enterprise.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Trust Management Model and Evaluation Method for Online Travel.
Proceedings of the Computer Supported Cooperative Work in Design IV, 2007

Multi-group Cooperation Support for Software Design Process.
Proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, 2007

Automatic Generation of Web Service Workflow Using a Probability Based Process-Semantic Repository.
Proceedings of the Advances in Web and Network Technologies, and Information Management, 2007

2005
Semantic Web service-based application integration framework for supporting collaborative design.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Business processes management based on stratified grid.
Proceedings of the Ninth International Conference on Computer Supported Cooperative Work in Design, 2005

Vector Retrieval Model for XML Document Based on Dynamic Partition of Information Units.
Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

2004
Research on Cooperative Workflow Management Systems.
Proceedings of the Computer Supported Cooperative Work in Design I, 2004


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