Liang Chen

Orcid: 0000-0003-3197-1435

Affiliations:

Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China
RMIT University, Melbourne, Australia (former)
Zhejiang University, College of Computer Science amp; Technology, CCNT, China (PhD 2015)

According to our database¹, Liang Chen authored at least 167 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks.

[BibT_eX]

[DOI]

Connect. Sci., December, 2024

FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2024

A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., October, 2024

L<sup>2</sup>CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering.

[BibT_eX]

[DOI]

CoRR, 2024

State Space Models on Temporal Graphs: A First-Principles Study.

[BibT_eX]

[DOI]

CoRR, 2024

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes.

[BibT_eX]

[DOI]

CoRR, 2024

Consecutive Model Editing with Batch alongside HooK Layers.

[BibT_eX]

[DOI]

CoRR, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.

[BibT_eX]

[DOI]

CoRR, 2024

Fair Graph Representation Learning via Sensitive Attribute Disentanglement.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Rethinking and Simplifying Bootstrapped Graph Latents.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SELF-GUARD: Empower the LLM to Safeguard Itself.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective.

[BibT_eX]

[DOI]

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Consecutive Batch Model Editing with HooK Layers.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm.

[BibT_eX]

[DOI]

Yuanzhen Xie

Xinzhou Jin

Tao Xie

Matrixmxlin Matrixmxlin

Proceedings of the Findings of the Association for Computational Linguistics, 2024

WatME: Towards Lossless Watermarking Through Lexical Redundancy.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Modeling Reviews for Few-Shot Recommendation via Enhanced Prototypical Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Spectral Adversarial Training for Robust Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

Selecting reliable blockchain peers via hybrid blockchain reliability prediction.

[BibT_eX]

[DOI]

Peilin Zheng

Zibin Zheng

Liang Chen

IET Softw., August, 2023

Adversarial Attack on Large Scale Graph.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

A Survey of the Evolution of Language Model-Based Dialogue Systems.

[BibT_eX]

[DOI]

CoRR, 2023

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2023

X-Mark: Towards Lossless Watermarking Through Lexical Redundancy.

[BibT_eX]

[DOI]

CoRR, 2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale.

[BibT_eX]

[DOI]

CoRR, 2023

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Meta Semantic Template for Evaluation of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

[BibT_eX]

[DOI]

CoRR, 2023

Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures.

[BibT_eX]

[DOI]

Wei Yuan

Quoc Viet Hung Nguyen

Tieke He

Liang Chen

Hongzhi Yin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Modelling High-Order Social Relations for Item Recommendation (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Structural Adversarial Attack for Code Representation Models.

[BibT_eX]

[DOI]

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

Improving Code Representation Learning via Multi-view Contrastive Graph Pooling for Abstract Syntax Tree.

[BibT_eX]

[DOI]

Ruoting Wu

Yuxin Zhang

Liang Chen

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

SAILOR: Structural Augmentation Based Tail Node Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GUARD: Graph Universal Adversarial Defense.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?

[BibT_eX]

[DOI]

Proceedings of the ACM Turing Award Celebration Conference - China 2023, 2023

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

Modelling High-Order Social Relations for Item Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Unifying multi-associations through hypergraph for bundle recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Graph Enhanced Neural Interaction Model for recommendation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Service recommendation through graph attention network in heterogeneous information networks.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2022

Are All Edges Necessary? A Unified Framework for Graph Purification.

[BibT_eX]

[DOI]

Zishan Gu

Jintang Li

Liang Chen

CoRR, 2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

[BibT_eX]

[DOI]

CoRR, 2022

A Survey of Deep Learning Models for Structural Code Understanding.

[BibT_eX]

[DOI]

CoRR, 2022

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation.

[BibT_eX]

[DOI]

CoRR, 2022

GUARD: Graph Universal Adversarial Defense.

[BibT_eX]

[DOI]

CoRR, 2022

Recent Advances in Reliable Deep Graph Learning: Adversarial Attack, Inherent Noise, and Distribution Shift.

[BibT_eX]

[DOI]

CoRR, 2022

Neighboring Backdoor Attacks on Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2022

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spiking Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Phishing Scams Detection in Ethereum Transaction Network.

[BibT_eX]

[DOI]

ACM Trans. Internet Techn., 2021

Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Data poisoning attacks on neighborhood-based recommender systems.

[BibT_eX]

[DOI]

Trans. Emerg. Telecommun. Technol., 2021

Mobile app recommendation via heterogeneous graph neural network in edge computing.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

DGCN: Diversified Recommendation with Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the WSDM '21, 2021

Self-supervised Graph Learning for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AutoDebias: Learning to Debias for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Secure Deep Graph Generation with Link Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding Structural Vulnerability in Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Sequential Recommendation on Dynamic Heterogeneous Information Network.

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Expanding Relationship for Cross Domain Recommendation.

[BibT_eX]

[DOI]

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

Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Incorporating geographical location for team formation in social coding sites.

[BibT_eX]

[DOI]

World Wide Web, 2020

ATM: An Attentive Translation Model for Next-Item Recommendation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2020

Multi-view factorization machines for mobile app recommendation based on hierarchical attention.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

CAMAR: a broad learning based context-aware recommender for mobile applications.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2020

Real-Time Fault Detection for IIoT Facilities Using GBRBM-Based DNN.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2020

A Survey of Adversarial Learning on Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Friend Recommendation Based on Multi-Social Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Access, 2020

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.

[BibT_eX]

[DOI]

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Interactive Path Reasoning on Graph for Conversational Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective.

[BibT_eX]

[DOI]

Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Directional Adversarial Training for Recommender Systems.

[BibT_eX]

[DOI]

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

Abstract Interpretation Based Robustness Certification for Graph Convolutional Networks.

[BibT_eX]

[DOI]

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

Keep You from Leaving: Churn Prediction in Online Games.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2020

Ensembled CTR Prediction via Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Personalized Bundle Recommendation in Online Games.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019

SMS: A Framework for Service Discovery by Incorporating Social Media Information.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2019

Predicting Quality of Service via Leveraging Location Information.

[BibT_eX]

[DOI]

Complex., 2019

Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network.

[BibT_eX]

[DOI]

IEEE Access, 2019

AC-Net: Assessing the Consistency of Description and Permission in Android Apps.

[BibT_eX]

[DOI]

IEEE Access, 2019

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Learning Region Similarity over Spatial Knowledge Graphs with Hierarchical Types and Semantic Relations.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.

[BibT_eX]

[DOI]

World Wide Web, 2018

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system.

[BibT_eX]

[DOI]

Quoc Viet Hung Nguyen

Zi Huang

Knowl. Based Syst., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

Factorization Machine Based Service Recommendation on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Web Services, 2018

A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Software Service Recommendation Base on Collaborative Filtering Neural Network Model.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Two-Phase Web Service QoS Prediction with Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Group preference based API recommendation via heterogeneous information network.

[BibT_eX]

[DOI]

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Learning Semantic Representations for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Heterogeneous Neural Attentive Factorization Machine for Rating Prediction.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems.

[BibT_eX]

[DOI]

Li Kuang

Gaofeng Cao

Liang Chen

Int. J. Web Serv. Res., 2017

A service computing manifesto: the next 10 years.

[BibT_eX]

[DOI]

Commun. ACM, 2017

Exploiting Geographical Location for Team Formation in Social Coding Sites.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

Mobile Application Rating Prediction via Feature-Oriented Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Web Services, 2017

An Embedding Based Factorization Machine Approach for Web Service QoS Prediction.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

A Broad Learning Approach for Context-Aware Mobile Application Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Mobi-SAGE: A Sparse Additive Generative Model for Mobile App Recommendation.

[BibT_eX]

[DOI]

Nguyen Quoc Viet Hung

Xiaofang Zhou

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Modern Service Industry and Crossover Services: Development and Trends in China.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2016

PGRank: Personalized Geographical Ranking for Point-of-Interest Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on World Wide Web, 2016

Temporal Pattern Based QoS Prediction.

[BibT_eX]

[DOI]

Proceedings of the Web Information Systems Engineering - WISE 2016, 2016

Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Exploiting Heterogeneous Information for Tag Recommendation in API Management.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2016

Joint Modeling Users, Services, Mashups, and Topics for Service Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2016

Meta-Path Based Service Recommendation in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Service Mining for Internet of Things.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

Personalized API Recommendation via Implicit Preference Modeling.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 14th International Conference, 2016

EARec: leveraging expertise and authority for pull-request reviewer recommendation in GitHub.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering, 2016

2015

Trust-aware media recommendation in heterogeneous social networks.

[BibT_eX]

[DOI]

World Wide Web, 2015

Learning Sparse Functional Factors for Large-Scale Service Clustering.

[BibT_eX]

[DOI]

Qi Yu

Hongbing Wang

Liang Chen

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Time-Aware API Popularity Prediction via Heterogeneous Features.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Manifold-Learning Based API Recommendation for Mashup Creation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Web Services, 2015

CASE: A Platform for Crowdsourcing Based API Search.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 13th International Conference, 2015

Crowdsourcing Based API Search via Leveraging Twitter Lists Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Instant Recommendation for Web Services Composition.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2014

Clustering Web services to facilitate service discovery.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

Modeling and exploiting tag relevance for Web service mining.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

A Trust-Aware Search Engine for Complex Service Computing.

[BibT_eX]

[DOI]

Int. J. Web Serv. Res., 2014

Modelling and exploring historical records to facilitate service composition.

[BibT_eX]

[DOI]

Int. J. Web Grid Serv., 2014

Co-Clustering WSDL Documents to Bootstrap Service Discovery.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE International Conference on Service-Oriented Computing and Applications, 2014

Data Augmented Maximum Margin Matrix Factorization for Flickr Group Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2013

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm.

[BibT_eX]

[DOI]

Clust. Comput., 2013

Collaborative QoS Prediction via Matrix Factorization and Topic Model.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications, 2013

Collaborative QoS Prediction via Feedback-Based Trust Model.

[BibT_eX]

[DOI]

Liang Chen

Yipeng Feng

Jian Wu

Proceedings of the 2013 IEEE 6th International Conference on Service-Oriented Computing and Applications, 2013

FTCRank: Ranking Components for Building Highly Reliable Cloud Applications.

[BibT_eX]

[DOI]

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

A Semantic-Based Dual Caching System for Nomadic Web Service.

[BibT_eX]

[DOI]

Panpan Han

Liang Chen

Jian Wu

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

WT-LDA: User Tagging Augmented LDA for Web Service Clustering.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

iNewsBox: modeling and exploiting implicit feedback for building personalized news radio.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Content-boosted maximum margin matrix factorization for Flickr group recommendation.

[BibT_eX]

[DOI]

Yilun Wang

Liang Chen

Jian Wu

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Congress on Big Data, 2013

2012

Composite Service Recommendation Based on Bayes Theorem.

[BibT_eX]

[DOI]

Int. J. Web Serv. Res., 2012

Titan: a system for effective web service discovery.

[BibT_eX]

[DOI]

Proceedings of the 21st World Wide Web Conference, 2012

MapReduce Based Skyline Services Selection for QoS-aware Composition.

[BibT_eX]

[DOI]

Liang Chen

Li Kuang

Jian Wu

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.

[BibT_eX]

[DOI]

Liang Chen

Kai Hwang

Jian Wu

Proceedings of the 26th IEEE International Parallel and Distributed Processing Symposium Workshops & PhD Forum, 2012

WSCRec: Utilizing Historical Information to Facilitate Web Service Composition.

[BibT_eX]

[DOI]

Liang Chen

Hengyi Jian

Jian Wu

Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

WSTRank: Ranking Tags to Facilitate Web Service Mining.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 10th International Conference, 2012

2011

WTCluster: Utilizing Tags for Web Services Clustering.

[BibT_eX]

[DOI]

Proceedings of the Service-Oriented Computing - 9th International Conference, 2011

QoS-Based Distributed Service Selection in Large-Scale Web Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Services Computing, 2011

CBBCM: Clustering Based Automatic Service Composition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Services Computing, 2011

An Enhanced QoS Prediction Approach for Service Selection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Services Computing, 2011

2010

Service Recommendation: Similarity-Based Representative Skyline.

[BibT_eX]

[DOI]

Proceedings of the 6th World Congress on Services, 2010

Recommendation on Uncertain Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Web Services, 2010

Liang Chen

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