Zibin Zheng

Orcid: 0000-0002-7878-4330

Affiliations:
  • Sun Yat-sen University, School of Advanced Computing
  • National University of Defense Technology, Changsha, Collaborative Innovation Center of High Performance Computing
  • Chinese University of Hong Kong, Shenzhen Research Institute


According to our database1, Zibin Zheng authored at least 602 papers between 2006 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2023, "For contributions to blockchain reliability engineering".

Timeline

Legend:

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Online presence:

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Bibliography

2024
Fine-Grained Semantics Enhanced Contrastive Learning for Graphs.
IEEE Trans. Knowl. Data Eng., December, 2024

Noisy Evolutionary Optimization With Application to Grid-Based Persistent Monitoring.
IEEE Trans. Evol. Comput., December, 2024

Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks.
Connect. Sci., December, 2024

DeepCAT<sup>+</sup>: A Low-Cost and Transferrable Online Configuration Auto-Tuning Approach for Big Data Frameworks.
IEEE Trans. Parallel Distributed Syst., November, 2024

A new scheme of vulnerability analysis in smart contract with machine learning.
Wirel. Networks, October, 2024

Unravelling Token Ecosystem of EOSIO Blockchain.
IEEE Trans. Knowl. Data Eng., October, 2024

FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation.
IEEE Trans. Comput. Soc. Syst., October, 2024

A Review-Level Sentiment Information Enhanced Multitask Learning Approach for Explainable Recommendation.
IEEE Trans. Comput. Soc. Syst., October, 2024

A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification.
IEEE Internet Things J., October, 2024

Understanding Privacy Risks of Intelligent Connected Vehicles Through Their Companion Mobile Apps.
IEEE Internet Things J., October, 2024

Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph.
Data Sci. Eng., September, 2024

Toward Few-Label Vertical Federated Learning.
ACM Trans. Knowl. Discov. Data, August, 2024

HyperTuner: a cross-layer multi-objective hyperparameter auto-tuning framework for data analytic services.
J. Supercomput., August, 2024

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections.
IEEE Trans. Comput. Soc. Syst., August, 2024

Do Code Summarization Models Process Too Much Information? Function Signature May Be All That Is Needed.
ACM Trans. Softw. Eng. Methodol., July, 2024

Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training.
ACM Trans. Inf. Syst., July, 2024

Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects.
IEEE Trans. Software Eng., June, 2024

CRPWarner: Warning the Risk of Contract-Related Rug Pull in DeFi Smart Contracts.
IEEE Trans. Software Eng., June, 2024

Graph Neural Network-Enhanced Reinforcement Learning for Payment Channel Rebalancing.
IEEE Trans. Mob. Comput., June, 2024

Complete Coverage of Mobile Targets in Backscatter-Aided IoT Networks.
IEEE Internet Things J., June, 2024

Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains.
ACM Comput. Surv., June, 2024

Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization.
ACM Trans. Softw. Eng. Methodol., May, 2024

Information-aware Multi-view Outlier Detection.
ACM Trans. Knowl. Discov. Data, May, 2024

Efficient Execution of Arbitrarily Complex Cross-Shard Contracts for Blockchain Sharding.
IEEE Trans. Computers, May, 2024

A General Framework for Account Risk Rating on Ethereum: Toward Safer Blockchain Technology.
IEEE Trans. Comput. Soc. Syst., April, 2024

An empirical study of code reuse between GitHub and stack overflow during software development.
J. Syst. Softw., April, 2024

Economic Systems in the Metaverse: Basics, State of the Art, and Challenges.
ACM Comput. Surv., April, 2024

Rateless Coded Blockchain for Dynamic IoT Networks.
IEEE Internet Things J., March, 2024

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.
ACM Trans. Knowl. Discov. Data, February, 2024

A neural tensor decomposition model for high-order sparse data recovery.
Inf. Sci., February, 2024

FedGL: Federated graph learning framework with global self-supervision.
Inf. Sci., February, 2024

Galaxy: A Scalable BFT and Privacy-Preserving Pub/Sub IoT Data Sharing Framework Based on Blockchain.
IEEE Internet Things J., February, 2024

PSSC: Practical and Secure Sidechain Construction for Heterogeneous Blockchains Orienting IoT.
IEEE Internet Things J., February, 2024

Graph neural network based robust anomaly detection at service level in SDN driven microservice system.
Comput. Networks, February, 2024

Snippet Comment Generation Based on Code Context Expansion.
ACM Trans. Softw. Eng. Methodol., January, 2024

On Stablecoin: Ecosystem, architecture, mechanism and applicability as payment method.
Comput. Stand. Interfaces, January, 2024

Who is Who on Ethereum? Account Labeling Using Heterophilic Graph Convolutional Network.
IEEE Trans. Syst. Man Cybern. Syst., 2024

Blockchain-Based Efficient and Trustworthy AIGC Services in Metaverse.
IEEE Trans. Serv. Comput., 2024

Ethereum Transaction Replay Platform Based on State-Wise Account Input Data.
IEEE Trans. Serv. Comput., 2024

SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain.
IEEE Trans. Serv. Comput., 2024

Guest Editorial Introduction to the Special Section on Advanced Networking Technologies for Web 3.0.
IEEE Trans. Netw. Sci. Eng., 2024

A Few-Shot Learning-Based Semi-Supervised Method to Enhance NLOS Recognition Accuracy Across Multiple Locations by Cross-Spatiotemporal Information.
IEEE Trans. Instrum. Meas., 2024

2DynEthNet: A Two-Dimensional Streaming Framework for Ethereum Phishing Scam Detection.
IEEE Trans. Inf. Forensics Secur., 2024

Who Stole My NFT? Investigating Web3 NFT Phishing Scams on Ethereum.
IEEE Trans. Inf. Forensics Secur., 2024

Toward Understanding Asset Flows in Crypto Money Laundering Through the Lenses of Ethereum Heists.
IEEE Trans. Inf. Forensics Secur., 2024

Fishing for Fraudsters: Uncovering Ethereum Phishing Gangs With Blockchain Data.
IEEE Trans. Inf. Forensics Secur., 2024

Adaptive Double-Spending Attacks on PoW-Based Blockchains.
IEEE Trans. Dependable Secur. Comput., 2024

ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems.
Proc. ACM Softw. Eng., 2024

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts.
Proc. ACM Softw. Eng., 2024

SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis.
Proc. ACM Softw. Eng., 2024

JIT-Smart: A Multi-task Learning Framework for Just-in-Time Defect Prediction and Localization.
Proc. ACM Softw. Eng., 2024

Training and Serving System of Foundation Models: A Comprehensive Survey.
IEEE Open J. Comput. Soc., 2024

Scalability and Security of Blockchain-Empowered Metaverse: A Survey.
IEEE Open J. Comput. Soc., 2024

Data-free knowledge distillation via generator-free data generation for Non-IID federated learning.
Neural Networks, 2024

Migrate demographic group for fair Graph Neural Networks.
Neural Networks, 2024

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
CoRR, 2024

Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective.
CoRR, 2024

GLA-DA: Global-Local Alignment Domain Adaptation for Multivariate Time Series.
CoRR, 2024

SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack.
CoRR, 2024

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation.
CoRR, 2024

SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis.
CoRR, 2024

A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning.
CoRR, 2024

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code.
CoRR, 2024

Agents in Software Engineering: Survey, Landscape, and Vision.
CoRR, 2024

CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association.
CoRR, 2024

Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution.
CoRR, 2024

MCGMark: An Encodable and Robust Online Watermark for LLM-Generated Malicious Code.
CoRR, 2024

RLCoder: Reinforcement Learning for Repository-Level Code Completion.
CoRR, 2024

L<sup>2</sup>CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering.
CoRR, 2024

Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models.
CoRR, 2024

A Survey on Failure Analysis and Fault Injection in AI Systems.
CoRR, 2024

CoSQA+: Enhancing Code Search Dataset with Matching Code.
CoRR, 2024

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection.
CoRR, 2024

Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond.
CoRR, 2024

State Space Models on Temporal Graphs: A First-Principles Study.
CoRR, 2024

Advances in Robust Federated Learning: Heterogeneity Considerations.
CoRR, 2024

SGHormer: An Energy-Saving Graph Transformer Driven by Spikes.
CoRR, 2024

Generative Software Engineering.
CoRR, 2024

Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions.
CoRR, 2024

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning.
CoRR, 2024

iJTyper: An Iterative Type Inference Framework for Java by Integrating Constraint- and Statistically-based Methods.
CoRR, 2024

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools.
CoRR, 2024

Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off.
CoRR, 2024

An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support.
CoRR, 2024

Privacy computing meets metaverse: Necessity, taxonomy and challenges.
Ad Hoc Networks, 2024

Fair Graph Representation Learning via Sensitive Attribute Disentanglement.
Proceedings of the ACM on Web Conference 2024, 2024

DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs.
Proceedings of the ACM on Web Conference 2024, 2024

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Rethinking and Simplifying Bootstrapped Graph Latents.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization.
Proceedings of the IEEE International Conference on Software Analysis, 2024

Leaking the Privacy of Groups and More: Understanding Privacy Risks of Cross-App Content Sharing in Mobile Ecosystem.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Sword of Damocles: Upgradeable Smart Contract in Ethereum.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

ESGen: Commit Message Generation Based on Edit Sequence of Code Change.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

LENT-SSE: Leveraging Executed and Near Transactions for Speculative Symbolic Execution of Smart Contracts.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Midas: Mining Profitable Exploits in On-Chain Smart Contracts via Feedback-Driven Fuzzing and Differential Analysis.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

DAppFL: Just-in-Time Fault Localization for Decentralized Applications in Web3.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Account Migration across Blockchain Shards using Fine-tuned Lock Mechanism.
Proceedings of the IEEE INFOCOM 2024, 2024

Auncel: Fair Byzantine Consensus Protocol with High Performance.
Proceedings of the IEEE INFOCOM 2024, 2024

PrettySmart: Detecting Permission Re-delegation Vulnerability for Token Behaviors in Smart Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Revealing Hidden Threats: An Empirical Study of Library Misuse in Smart Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DashChef: A Metric Recommendation Service for Online Systems Using Graph Learning.
Proceedings of the Engineering of Complex Computer Systems - 28th International Conference, 2024

Porygon: Scaling Blockchain via 3D Parallelism.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Libra: A Fairness-Guaranteed Framework for Semi-Asynchronous Federated Learning.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

USSC: Universal and Storage-Efficient Sidechains.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

Enhancing Federated Learning with Self-Determining Mechanism in MEC.
Proceedings of the International Conference on Computing, Networking and Communications, 2024

Contrastive Deep Nonnegative Matrix Factorization For Community Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

FedSeProto: Learning Semantic Prototype in Federated Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Message-Passing GNNs by Asynchronous Aggregation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Message from the ES-GBA 2024 Chairs: Organizing Committee.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

Tracemesh: Scalable and Streaming Sampling for Distributed Traces.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.
IEEE Trans. Reliab., December, 2023

Scheduling Most Valuable Committees for the Sharded Blockchain.
IEEE/ACM Trans. Netw., December, 2023

Hide and Seek: An Adversarial Hiding Approach Against Phishing Detection on Ethereum.
IEEE Trans. Comput. Soc. Syst., December, 2023

Accelerated Partially Shared Dictionary Learning With Differentiable Scale-Invariant Sparsity for Multi-View Clustering.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Temporal transaction information-aware Ponzi scheme detection for ethereum smart contracts.
Eng. Appl. Artif. Intell., November, 2023

ComAvg: Robust decentralized federated learning with random committees.
Comput. Commun., November, 2023

Metaopera: A Cross-Metaverse Interoperability Protocol.
IEEE Wirel. Commun., October, 2023

From Decentralization to Oligopoly: A Data-Driven Analysis of Decentralization Evolution and Voting Behaviors on EOSIO.
IEEE Trans. Comput. Soc. Syst., October, 2023

An empirical study on real bug fixes from solidity smart contract projects.
J. Syst. Softw., October, 2023

On Min-Max Storage for Resource-Restricted Clients in Coded Blockchain Systems.
IEEE Internet Things J., October, 2023

Dynamically Relative Position Encoding-Based Transformer for Automatic Code Edit.
IEEE Trans. Reliab., September, 2023

Securing the Ethereum from Smart Ponzi Schemes: Identification Using Static Features.
ACM Trans. Softw. Eng. Methodol., September, 2023

A Comparative Study on Method Comment and Inline Comment.
ACM Trans. Softw. Eng. Methodol., September, 2023

Spectral Adversarial Training for Robust Graph Neural Network.
IEEE Trans. Knowl. Data Eng., September, 2023

Tensor completion via convolutional sparse coding with small samples-based training.
Pattern Recognit., September, 2023

Both Homophily and Heterophily Matter: Bi-Path Aware Graph Neural Network for Ethereum Account Classification.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

Exploring and Analyzing the Token Ecosystem: A Complex Network Analysis Perspective.
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

SHNE: Semantics and Homophily Preserving Network Embedding.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Selecting reliable blockchain peers via hybrid blockchain reliability prediction.
IET Softw., August, 2023

Profit-based deep architecture with integration of reinforced data selector to enhance trend-following strategy.
World Wide Web (WWW), July, 2023

TurBO: A cost-efficient configuration-based auto-tuning approach for cluster-based big data frameworks.
J. Parallel Distributed Comput., July, 2023

Worker-Centric Model Allocation for Federated Learning in Mobile Edge Computing.
IEEE Trans. Green Commun. Netw., June, 2023

HINNPerf: Hierarchical Interaction Neural Network for Performance Prediction of Configurable Systems.
ACM Trans. Softw. Eng. Methodol., April, 2023

A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

An accurate approach of device-free localization with attention empowered residual network.
Appl. Soft Comput., April, 2023

Calling relationship investigation and application on Ethereum Blockchain System.
Empir. Softw. Eng., March, 2023

Benzene: Scaling Blockchain With Cooperation-Based Sharding.
IEEE Trans. Parallel Distributed Syst., February, 2023

A Self-Representation Method with Local Similarity Preserving for Fast Multi-View Outlier Detection.
ACM Trans. Knowl. Discov. Data, January, 2023

FaaSDeliver: Cost-Efficient and QoS-Aware Function Delivery in Computing Continuum.
IEEE Trans. Serv. Comput., 2023

Exploring Smart Contract Recommendation: Towards Efficient Blockchain Development.
IEEE Trans. Serv. Comput., 2023

SocialChain: Decoupling Social Data and Applications to Return Your Data Ownership.
IEEE Trans. Serv. Comput., 2023

Adversarial Attack on Large Scale Graph.
IEEE Trans. Knowl. Data Eng., 2023

Fitting Imbalanced Uncertainties in Multi-output Time Series Forecasting.
ACM Trans. Knowl. Discov. Data, 2023

TRacer: Scalable Graph-Based Transaction Tracing for Account-Based Blockchain Trading Systems.
IEEE Trans. Inf. Forensics Secur., 2023

A Distributed and Privacy-Aware High-Throughput Transaction Scheduling Approach for Scaling Blockchain.
IEEE Trans. Dependable Secur. Comput., 2023

Double Sparse Deep Reinforcement Learning via Multilayer Sparse Coding and Nonconvex Regularized Pruning.
IEEE Trans. Cybern., 2023

Blockchain-Based Decentralized Application: A Survey.
IEEE Open J. Comput. Soc., 2023

Financial Crimes in Web3-Empowered Metaverse: Taxonomy, Countermeasures, and Opportunities.
IEEE Open J. Comput. Soc., 2023

Towards Reliable Utilization of AIGC: Blockchain-Empowered Ownership Verification Mechanism.
IEEE Open J. Comput. Soc., 2023

Heterogeneity-aware fair federated learning.
Inf. Sci., 2023

Understanding the dynamic and microscopic traits of typical Ethereum accounts.
Inf. Process. Manag., 2023

Cross-view graph matching for incomplete multi-view clustering.
Neurocomputing, 2023

The Dark Side of NFTs: A Large-Scale Empirical Study of Wash Trading.
CoRR, 2023

Tokenized Model: A Blockchain-Empowered Decentralized Model Ownership Verification Platform.
CoRR, 2023

LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
CoRR, 2023

VeryFL: A Verify Federated Learning Framework Embedded with Blockchain.
CoRR, 2023

Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training.
CoRR, 2023

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.
CoRR, 2023

BlockEmulator: An Emulator Enabling to Test Blockchain Sharding Protocols.
CoRR, 2023

Language Agents for Detecting Implicit Stereotypes in Text-to-image Models at Scale.
CoRR, 2023

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.
CoRR, 2023

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
CoRR, 2023

Towards an Understanding of Large Language Models in Software Engineering Tasks.
CoRR, 2023

To Healthier Ethereum: A Comprehensive and Iterative Smart Contract Weakness Enumeration.
CoRR, 2023

DsMtGCN: A Direction-sensitive Multi-task framework for Knowledge Graph Completion.
CoRR, 2023

Contextual Dictionary Lookup for Knowledge Graph Completion.
CoRR, 2023

Migrate Demographic Group For Fair GNNs.
CoRR, 2023

Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning.
CoRR, 2023

Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond.
CoRR, 2023

Attention Paper: How Generative AI Reshapes Digital Shadow Industry?
CoRR, 2023

Towards Understanding Crypto Money Laundering in Web3 Through the Lenses of Ethereum Heists.
CoRR, 2023

Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs.
CoRR, 2023

An overview of Web3.0 Technology: Infrastructure, Applications, and Popularity.
CoRR, 2023

Capturing Fine-grained Semantics in Contrastive Graph Representation Learning.
CoRR, 2023

MetaOpera: A Cross-Metaverse Interoperability Protocol.
CoRR, 2023

Bubble or Not: Measurements, Analyses, and Findings on the Ethereum ERC721 and ERC1155 Non-fungible Token Ecosystem.
CoRR, 2023

RiskProp: Account Risk Rating on Ethereum via De-anonymous Score and Network Propagation.
CoRR, 2023

Know Your Transactions: Real-time and Generic Transaction Semantic Representation on Blockchain & Web3 Ecosystem.
Proceedings of the ACM Web Conference 2023, 2023

Nezha: Interpretable Fine-Grained Root Causes Analysis for Microservices on Multi-modal Observability Data.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

SyntaxLineDP: a Line-level Software Defect Prediction Model based on Extended Syntax Information.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Blurred-Dilated Method for Adversarial Attacks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on Metaverse: Applications, Crimes and Governance.
Proceedings of the IEEE International Conference on Metaverse Computing, 2023

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

iASTMapper: An Iterative Similarity-Based Abstract Syntax Tree Mapping Algorithm.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

DeFiWarder: Protecting DeFi Apps from Token Leaking Vulnerabilities.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

SmartCoCo: Checking Comment-Code Inconsistency in Smart Contracts via Constraint Propagation and Binding.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

tMPT: Reconfiguration across Blockchain Shards via Trimmed Merkle Patricia Trie.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Detecting State Inconsistency Bugs in DApps via On-Chain Transaction Replay and Fuzzing.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Definition and Detection of Defects in NFT Smart Contracts.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Toward Automated Detecting Unanticipated Price Feed in Smart Contract.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

DeFiTainter: Detecting Price Manipulation Vulnerabilities in DeFi Protocols.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Can Neural Networks Help Smart Contract Testing? An Empirical Study.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

BSHUNTER: Detecting and Tracing Defects of Bitcoin Scripts.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

LogReducer: Identify and Reduce Log Hotspots in Kernel on the Fly.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Practical and Efficient Model Extraction of Sentiment Analysis APIs.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

ShellFusion: An Answer Generator for Shell Programming Tasks via Knowledge Fusion.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Adversarial Maritime Trajectory Prediction with Real-time Spatial-Temporal Mutual Influence.
Proceedings of the IEEE International Conference on Data Mining, 2023

Fault Detection and Diagnosis of Air Handling Units Based On Adversarial Multi-task Learning.
Proceedings of the IEEE International Conference on Data Mining, 2023

Enhancing Graph Collaborative Filtering via Neighborhood Structure Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2023

Modelling High-Order Social Relations for Item Recommendation (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Novel Two-Layer DAG-Based Reactive Protocol for IoT Data Reliability in Metaverse.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

DARPA: Combating Asymmetric Dark UI Patterns on Android with Run-time View Decorator.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

CB-GAN: Generate Sensitive Data with a Convolutional Bidirectional Generative Adversarial Networks.
Proceedings of the Database Systems for Advanced Applications, 2023

SAILOR: Structural Augmentation Based Tail Node Representation Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GUARD: Graph Universal Adversarial Defense.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

VFedAD: A Defense Method Based on the Information Mechanism Behind the Vertical Federated Data Poisoning Attack.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures.
Proceedings of the Bio-Inspired Computing: Theories and Applications, 2023

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

CDTA: A Cross-Domain Transfer-Based Attack with Contrastive Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Applying blockchain-based method to smart contract classification for CPS applications.
Digit. Commun. Networks, December, 2022

Scalable On-Chain and Off-Chain Blockchain for Sharing Economy in Large-Scale Wireless Networks.
IEEE Wirel. Commun., 2022

Who Are the Phishers? Phishing Scam Detection on Ethereum via Network Embedding.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Change-Patterns Mapping: A Boosting Way for Change Impact Analysis.
IEEE Trans. Software Eng., 2022

Code Review Knowledge Perception: Fusing Multi-Features for Salient-Class Location.
IEEE Trans. Software Eng., 2022

Web Service QoS Prediction via Collaborative Filtering: A Survey.
IEEE Trans. Serv. Comput., 2022

Virtdev: Towards Providing Edge Services.
IEEE Trans. Serv. Comput., 2022

Elastic Resource Allocation Against Imbalanced Transaction Assignments in Sharding-Based Permissioned Blockchains.
IEEE Trans. Parallel Distributed Syst., 2022

Distributed Evolution Strategies for Black-Box Stochastic Optimization.
IEEE Trans. Parallel Distributed Syst., 2022

A Decentralized Federated Learning Framework via Committee Mechanism With Convergence Guarantee.
IEEE Trans. Parallel Distributed Syst., 2022

FA-GNN: Filter and Augment Graph Neural Networks for Account Classification in Ethereum.
IEEE Trans. Netw. Sci. Eng., 2022

Cooperative Data Sensing and Computation Offloading in UAV-Assisted Crowdsensing With Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Netw. Sci. Eng., 2022

Modelling High-Order Social Relations for Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

An reinforcement learning-based speech censorship chatbot system.
J. Supercomput., 2022

Aeolus: Distributed Execution of Permissioned Blockchain Transactions via State Sharding.
IEEE Trans. Ind. Informatics, 2022

Adaptive Evolution Strategies for Stochastic Zeroth-Order Optimization.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Evolution of Ethereum Transaction Relationships: Toward Understanding Global Driving Factors From Microscopic Patterns.
IEEE Trans. Comput. Soc. Syst., 2022

Sequential Attacker-Defender Game on Complex Networks Considering the Cascading Failure Process.
IEEE Trans. Comput. Soc. Syst., 2022

Microscaler: Cost-Effective Scaling for Microservice Applications in the Cloud With an Online Learning Approach.
IEEE Trans. Cloud Comput., 2022

Complex Network Analysis of the Bitcoin Transaction Network.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey.
Soft Comput., 2022

JointConf: Jointly autotuning configuration parameters for modularized graph databases.
J. Softw. Evol. Process., 2022

QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning.
SIAM J. Optim., 2022

Fusing Blockchain and AI With Metaverse: A Survey.
IEEE Open J. Comput. Soc., 2022

When Digital Economy Meets Web3.0: Applications and Challenges.
IEEE Open J. Comput. Soc., 2022

Group non-convex sparsity regularized partially shared dictionary learning for multi-view learning.
Knowl. Based Syst., 2022

Unifying multi-associations through hypergraph for bundle recommendation.
Knowl. Based Syst., 2022

Graph Enhanced Neural Interaction Model for recommendation.
Knowl. Based Syst., 2022

GraphRR: A multiplex Graph based Reciprocal friend Recommender system with applications on online gaming service.
Knowl. Based Syst., 2022

Megnn: Meta-path extracted graph neural network for heterogeneous graph representation learning.
Knowl. Based Syst., 2022

Intelligent analysis for software data: research and applications.
Frontiers Inf. Technol. Electron. Eng., 2022

Meepo: Multiple Execution Environments per Organization in Sharded Consortium Blockchain.
IEEE J. Sel. Areas Commun., 2022

Characterizing and Detecting Gas-Inefficient Patterns in Smart Contracts.
J. Comput. Sci. Technol., 2022

A structure noise-aware tensor dictionary learning method for high-dimensional data clustering.
Inf. Sci., 2022

Predicting high-dimensional time series data with spatial, temporal and global information.
Inf. Sci., 2022

A Unified Federated DNNs Framework for Heterogeneous Mobile Devices.
IEEE Internet Things J., 2022

A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data.
IEEE Internet Things J., 2022

AHNA: Adaptive representation learning for attributed heterogeneous networks.
Int. J. Intell. Syst., 2022

Decentralized federated meta-learning framework for few-shot multitask learning.
Int. J. Intell. Syst., 2022

Service recommendation through graph attention network in heterogeneous information networks.
Int. J. Comput. Sci. Eng., 2022

HIN2Grid: A disentangled CNN-based framework for heterogeneous network learning.
Expert Syst. Appl., 2022

Block term decomposition with distinct time granularities for temporal knowledge graph completion.
Expert Syst. Appl., 2022

Reviewing rounds prediction for code patches.
Empir. Softw. Eng., 2022

A Survey of State-of-the-Art on Blockchains: Theories, Modelings, and Tools.
ACM Comput. Surv., 2022

MOOCsChain: A blockchain-based secure storage and sharing scheme for MOOCs learning.
Comput. Stand. Interfaces, 2022

When Digital Economy Meets Web 3.0: Applications and Challenges.
CoRR, 2022

Subspace-Contrastive Multi-View Clustering.
CoRR, 2022

Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.
CoRR, 2022

FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs.
CoRR, 2022

A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots.
CoRR, 2022

MaskGAE: Masked Graph Modeling Meets Graph Autoencoders.
CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.
CoRR, 2022

A Survey of Deep Learning Models for Structural Code Understanding.
CoRR, 2022

FastGCL: Fast Self-Supervised Learning on Graphs via Contrastive Neighborhood Aggregation.
CoRR, 2022

GUARD: Graph Universal Adversarial Defense.
CoRR, 2022

Unravelling Token Ecosystem of EOSIO Blockchain.
CoRR, 2022

Neighboring Backdoor Attacks on Graph Convolutional Network.
CoRR, 2022

Understanding the Decentralization of DPoS: Perspectives From Data-Driven Analysis on EOSIO.
CoRR, 2022

Transaction Tracking on Blockchain Trading Systems using Personalized PageRank.
CoRR, 2022

Fusing Blockchain and AI with Metaverse: A Survey.
CoRR, 2022

Selective transfer learning with adversarial training for stock movement prediction.
Connect. Sci., 2022

Achieving Scalability and Load Balance across Blockchain Shards for State Sharding.
Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

Robust Tensor Graph Convolutional Networks via T-SVD based Graph Augmentation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Effectively Generating Vulnerable Transaction Sequences in Smart Contracts with Reinforcement Learning-guided Fuzzing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Making Smart Contract Classification Easier and More Effective.
Proceedings of the 2022 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2022

Park: accelerating smart contract vulnerability detection via parallel-fork symbolic execution.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

SmartDagger: a bytecode-based static analysis approach for detecting cross-contract vulnerability.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

BrokerChain: A Cross-Shard Blockchain Protocol for Account/Balance-based State Sharding.
Proceedings of the IEEE INFOCOM 2022, 2022

MicroSketch: Lightweight and Adaptive Sketch Based Performance Issue Detection and Localization in Microservice Systems.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

ShellFusion: Answer Generation for Shell Programming Tasks via Knowledge Fusion.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

ContextFL: Context-aware Federated Learning by Estimating the Training and Reporting Phases of Mobile Clients.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Proactive look-ahead control of transaction flows for high-throughput payment channel network.
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

Hierarchical Representation for Multi-view Clustering: From Intra-sample to Intra-view to Inter-view.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Survey of Blockchain-Based Stablecoin: Cryptocurrencies and Central Bank Digital Currencies.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

WaLi: Control-Flow-Based Analysis of Wasm Smart Contracts.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

Lock-Based Proof of Authority: A Faster and Low-Forking PoA Fault Tolerance Protocol for Blockchain Systems.
Proceedings of the Blockchain and Trustworthy Systems - 4th International Conference, 2022

2021
Guest EditorialIntroduction to the Special Section on Blockchain for Vehicles and Intelligent Communications.
IEEE Trans. Veh. Technol., 2021

Sequential Restorations of Complex Networks After Cascading Failures.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Covering-Based Web Service Quality Prediction via Neighborhood-Aware Matrix Factorization.
IEEE Trans. Serv. Comput., 2021

A Location-Based Factorization Machine Model for Web Service QoS Prediction.
IEEE Trans. Serv. Comput., 2021

CASR-TSE: Context-Aware Web Services Recommendation for Modeling Weighted Temporal-Spatial Effectiveness.
IEEE Trans. Serv. Comput., 2021

Distributed and Collective Deep Reinforcement Learning for Computation Offloading: A Practical Perspective.
IEEE Trans. Parallel Distributed Syst., 2021

Phishing Scams Detection in Ethereum Transaction Network.
ACM Trans. Internet Techn., 2021

Guest Editorial: Blockchain Solutions for Industrial Internet of Things.
IEEE Trans. Ind. Informatics, 2021

Special Section on Scalable Computing for Blockchain Systems.
IEEE Trans. Emerg. Top. Comput., 2021

QoS-Aware Data Placement for MapReduce Applications in Geo-Distributed Data Centers.
IEEE Trans. Engineering Management, 2021

MMES: Mixture Model-Based Evolution Strategy for Large-Scale Optimization.
IEEE Trans. Evol. Comput., 2021

Guest Editorial: Special issue on blockchain and decentralized applications.
Softw. Pract. Exp., 2021

From Technology to Society: An Overview of Blockchain-Based DAO.
IEEE Open J. Comput. Soc., 2021

A Blockchain-Based Decentralized Federated Learning Framework with Committee Consensus.
IEEE Netw., 2021

Attentive Meta-graph Embedding for item Recommendation in heterogeneous information networks.
Knowl. Based Syst., 2021

Ponzi scheme detection via oversampling-based Long Short-Term Memory for smart contracts.
Knowl. Based Syst., 2021

When services computing meets blockchain: Challenges and opportunities.
J. Parallel Distributed Comput., 2021

Analysis of cryptocurrency transactions from a network perspective: An overview.
J. Netw. Comput. Appl., 2021

Learning deep discriminative representations with pseudo supervision for image clustering.
Inf. Sci., 2021

Auto-weighted robust low-rank tensor completion via tensor-train.
Inf. Sci., 2021

XBlock-EOS: Extracting and exploring blockchain data from EOSIO.
Inf. Process. Manag., 2021

Efficient Blockchain-Empowered Data Sharing Incentive Scheme for Internet of Things.
Int. J. Softw. Informatics, 2021

Data poisoning attacks on neighborhood-based recommender systems.
Trans. Emerg. Telecommun. Technol., 2021

Revealing Structural and Functional Vulnerability of Power Grids to Cascading Failures.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

FedGL: Federated Graph Learning Framework with Global Self-Supervision.
CoRR, 2021

Deep Reinforcement Learning for Internet of Things: A Comprehensive Survey.
IEEE Commun. Surv. Tutorials, 2021

Blockchain in China.
Commun. ACM, 2021

Robust graph convolutional networks with directional graph adversarial training.
Appl. Intell., 2021

IEEE Access Special Section Editorial: Blockchain-Enabled Trustworthy Systems.
IEEE Access, 2021

Outlier-Resilient Web Service QoS Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021

FINN: Feedback Interactive Neural Network for Intent Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network.
Proceedings of the WSDM '21, 2021

Understanding Code Reuse in Smart Contracts.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

An Empirical Study of Solidity Language Features.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Revisiting Double-Spending Attacks on the Bitcoin Blockchain: New Findings.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Transaction-Based Hidden Strategies against General Phishing Detection Framework on Ethereum.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Understanding Structural Vulnerability in Graph Convolutional Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Meepo: Sharded Consortium Blockchain.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Sequential Recommendation on Dynamic Heterogeneous Information Network.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

MVCom: Scheduling Most Valuable Committees for the Large-Scale Sharded Blockchain.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

Node2Grids: A Cost-Efficient Uncoupled Training Framework for Large-Scale Graph Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

SGCL: Contrastive Representation Learning for Signed Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Transparency to the Extreme: An In-Depth Study of the Bitcoin Exchange Ecosystem.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

Attention-Based Graph Neural Network for Identifying Illicit Bitcoin Addresses.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020
Incorporating geographical location for team formation in social coding sites.
World Wide Web, 2020

Finding skyline communities in multi-valued networks.
VLDB J., 2020

Guest Editorial: Special Issue on Blockchain-Based Services Computing.
IEEE Trans. Serv. Comput., 2020

Learning Code Context Information to Predict Comment Locations.
IEEE Trans. Reliab., 2020

Nonuniform Hyper-Network Embedding with Dual Mechanism.
ACM Trans. Inf. Syst., 2020

Homophily Preserving Community Detection.
IEEE Trans. Neural Networks Learn. Syst., 2020

Modeling and Understanding Ethereum Transaction Records via a Complex Network Approach.
IEEE Trans. Circuits Syst., 2020

XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum.
IEEE Open J. Comput. Soc., 2020

PiRATE: A Blockchain-Based Secure Framework of Distributed Machine Learning in 5G Networks.
IEEE Netw., 2020

Robust multi-view k-means clustering with outlier removal.
Knowl. Based Syst., 2020

Multi-view semi-supervised learning for classification on dynamic networks.
Knowl. Based Syst., 2020

CommtPst: Deep learning source code for commenting positions prediction.
J. Syst. Softw., 2020

Learning Human-Written Commit Messages to Document Code Changes.
J. Comput. Sci. Technol., 2020

Toward Secure Data Sharing for the IoV: A Quality-Driven Incentive Mechanism With On-Chain and Off-Chain Guarantees.
IEEE Internet Things J., 2020

Towards automatically generating block comments for code snippets.
Inf. Softw. Technol., 2020

Hierarchical bucket tree: an efficient account structure for blockchain-based system.
Int. J. Embed. Syst., 2020

Dependence structure between bitcoin price and its influence factors.
Int. J. Comput. Sci. Eng., 2020

An overview on smart contracts: Challenges, advances and platforms.
Future Gener. Comput. Syst., 2020

Going deeper with optimal software products selection using many-objective optimization and satisfiability solvers.
Empir. Softw. Eng., 2020

Tensor Completion via Few-shot Convolutional Sparse Coding.
CoRR, 2020

MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks.
CoRR, 2020

Outlier Resilient Collaborative Web Service QoS Prediction.
CoRR, 2020

AxeChain: A Secure and Decentralized blockchain for solving Easily-Verifiable problems.
CoRR, 2020

A Flexible Framework for Large Graph Learning.
CoRR, 2020

A Survey of Adversarial Learning on Graphs.
CoRR, 2020

Collaborative deep learning across multiple data centers.
Sci. China Inf. Sci., 2020

Blockchain for cloud exchange: A survey.
Comput. Electr. Eng., 2020

Solutions to Scalability of Blockchain: A Survey.
IEEE Access, 2020

CDS: A Cross-Version Software Defect Prediction Model With Data Selection.
IEEE Access, 2020

When Blockchain Meets Distributed File Systems: An Overview, Challenges, and Open Issues.
IEEE Access, 2020

Hdconfigor: Automatically Tuning High Dimensional Configuration Parameters for Log Search Engines.
IEEE Access, 2020

Friend Recommendation Based on Multi-Social Graph Convolutional Network.
IEEE Access, 2020

A Blockchain-Assisted Trust Access Authentication System for Solid.
IEEE Access, 2020

Traveling the token world: A graph analysis of Ethereum ERC20 token ecosystem.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Cross Entropy Attack on Deep Graph Infomax.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Deep Insights into Graph Adversarial Learning: An Empirical Study Perspective.
Proceedings of the Human Brain and Artificial Intelligence - Second International Workshop, 2020

Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Directional Adversarial Training for Recommender Systems.
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.
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.
Proceedings of the Database Systems for Advanced Applications, 2020

Ensembled CTR Prediction via Knowledge Distillation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Identifying Illicit Addresses in Bitcoin Network.
Proceedings of the Blockchain and Trustworthy Systems - Second International Conference, 2020

Towards Better Forecasting by Fusing Near and Distant Future Visions.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Neural Network and Multi-view Learning Based Mobile Application Recommendation in Heterogeneous Graphs.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Online Deep Reinforcement Learning for Computation Offloading in Blockchain-Empowered Mobile Edge Computing.
IEEE Trans. Veh. Technol., 2019

QoS-Aware Cooperative Computation Offloading for Robot Swarms in Cloud Robotics.
IEEE Trans. Veh. Technol., 2019

A Secure and Efficient Blockchain-Based Data Trading Approach for Internet of Vehicles.
IEEE Trans. Veh. Technol., 2019

Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction.
IEEE Trans. Serv. Comput., 2019

Multi-Hop Cooperative Computation Offloading for Industrial IoT-Edge-Cloud Computing Environments.
IEEE Trans. Parallel Distributed Syst., 2019

Deep and Embedded Learning Approach for Traffic Flow Prediction in Urban Informatics.
IEEE Trans. Intell. Transp. Syst., 2019

Guest Editorial: Special Section on "Blockchain for Industrial Internet of Things" in IEEE Transactions on Industrial Informatics.
IEEE Trans. Ind. Informatics, 2019

STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Recommending software features for mobile applications based on user interface comparison.
Requir. Eng., 2019

When UAV Swarm Meets Edge-Cloud Computing: The QoS Perspective.
IEEE Netw., 2019

Joint Computation Offloading and Coin Loaning for Blockchain-Empowered Mobile-Edge Computing.
IEEE Internet Things J., 2019

Optimal Pricing Mechanism for Data Market in Blockchain-Enhanced Internet of Things.
IEEE Internet Things J., 2019

A Novel Debt-Credit Mechanism for Blockchain-Based Data-Trading in Internet of Vehicles.
IEEE Internet Things J., 2019

Blockchain for Internet of Things: A Survey.
IEEE Internet Things J., 2019

Cooperative and Distributed Computation Offloading for Blockchain-Empowered Industrial Internet of Things.
IEEE Internet Things J., 2019

Digging into it: Community detection via hidden attributes analysis.
Neurocomputing, 2019

Auto-weighted multi-view constrained spectral clustering.
Neurocomputing, 2019

Makespan-minimized computation offloading for smart toys in edge-cloud computing.
Electron. Commer. Res. Appl., 2019

Big Data Analytics for Large-scale Wireless Networks: Challenges and Opportunities.
ACM Comput. Surv., 2019

PIRATE: A Blockchain-based Secure Framework of Distributed Machine Learning in 5G Networks.
CoRR, 2019

Blockchain Intelligence: When Blockchain Meets Artificial Intelligence.
CoRR, 2019

XBlock-ETH: Extracting and Exploring Blockchain Data From Ethereum.
CoRR, 2019

T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis.
CoRR, 2019

Predicting Quality of Service via Leveraging Location Information.
Complex., 2019

NutBaaS: A Blockchain-as-a-Service Platform.
IEEE Access, 2019

Personalized Service Recommendation With Mashup Group Preference in Heterogeneous Information Network.
IEEE Access, 2019

Deep Robust Reinforcement Learning for Practical Algorithmic Trading.
IEEE Access, 2019

AC-Net: Assessing the Consistency of Description and Permission in Android Apps.
IEEE Access, 2019

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum.
IEEE Access, 2019

EtherShare: Share Information in JointCloud Environment Using Blockchain-Based Smart Contracts.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Detecting "Pump & Dump Schemes" on Cryptocurrency Market Using An Improved Apriori Algorithm.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression.
Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Recommending differentiated code to support smart contract update.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Sequential Node/Link Recovery Strategy of Power Grids Based on Q-Learning Approach.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Robustness Analysis of Power Grids Against Cascading Failures Based on a Multi-Objective Algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Market Manipulation of Bitcoin: Evidence from Mining the Mt. Gox Transaction Network.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Dynamically Route Hierarchical Structure Representation to Attentive Capsule for Text Classification.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Variational Graph Embedding and Clustering with Laplacian Eigenmaps.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Microscaler: Automatic Scaling for Microservices with an Online Learning Approach.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Generative Adversarial Network Based Service Recommendation in Heterogeneous Information Networks.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019

Tools and benchmarks for automated log parsing.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering in Practice, 2019

Discrete Overlapping Community Detection with Pseudo Supervision.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation.
Proceedings of the Database Systems for Advanced Applications, 2019

Hyper2vec: Biased Random Walk for Hyper-network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning.
Proceedings of the Database Systems for Advanced Applications, 2019

SINE: Side Information Network Embedding.
Proceedings of the Database Systems for Advanced Applications, 2019

An Active and Deep Semantic Matching Framework for Query Rewrite in E-Commercial Search Engine.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Quantitative Analysis of Bitcoin Transferred in Bitcoin Exchange.
Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

Blockchain-Based Credible and Privacy-Preserving QoS-Aware Web Service Recommendation.
Proceedings of the Blockchain and Trustworthy Systems - First International Conference, 2019

Tensor Decomposition for Multilayer Networks Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
A Data Set for User Request Trace-Oriented Monitoring and its Applications.
IEEE Trans. Serv. Comput., 2018

MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs.
IEEE Trans. Reliab., 2018

Configuring Software Product Lines by Combining Many-Objective Optimization and SAT Solvers.
ACM Trans. Softw. Eng. Methodol., 2018

Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids.
IEEE Trans. Ind. Informatics, 2018

A proactive approach based on online reliability prediction for adaptation of service-oriented systems.
J. Parallel Distributed Comput., 2018

Blockchain challenges and opportunities: a survey.
Int. J. Web Grid Serv., 2018

Collaborative Deep Learning Across Multiple Data Centers.
CoRR, 2018

A Directed Acyclic Graph Approach to Online Log Parsing.
CoRR, 2018

Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach.
IEEE Access, 2018

BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks.
IEEE Access, 2018

Detecting Ponzi Schemes on Ethereum: Towards Healthier Blockchain Technology.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Joint Computation Offloading and Routing Optimization for UAV-Edge-Cloud Computing Environments.
Proceedings of the 2018 IEEE SmartWorld, 2018

IoT Service Based on JointCloud Blockchain: The Case Study of Smart Traveling.
Proceedings of the IEEE Symposium on Service-Oriented System Engineering, 2018

Salient-class location: help developers understand code change in code review.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Skyline Community Search in Multi-valued Networks.
Proceedings of the 2018 International Conference on Management of Data, 2018

Factorization Machine Based Service Recommendation on Heterogeneous Information Networks.
Proceedings of the 2018 IEEE International Conference on Web Services, 2018

An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

A Weighted Meta-graph Based Approach for Mobile Application Recommendation on Heterogeneous Information Networks.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Microscope: Pinpoint Performance Issues with Causal Graphs in Micro-service Environments.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Software Service Recommendation Base on Collaborative Filtering Neural Network Model.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

A detailed and real-time performance monitoring framework for blockchain systems.
Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, 2018

Group preference based API recommendation via heterogeneous information network.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Efficient blockchain-based software systems via hierarchical bucket tree.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Learning Semantic Representations for Unsupervised Domain Adaptation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Adaptive Affinity Learning for Accurate Community Detection.
Proceedings of the IEEE International Conference on Data Mining, 2018

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Heterogeneous Neural Attentive Factorization Machine for Rating Prediction.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Detecting Duplicate Bug Reports with Convolutional Neural Networks.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

Latency-Aware Task Assignment and Scheduling in Collaborative Cloud Robotic Systems.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems.
IEEE Trans. Software Eng., 2017

Cloud Service Reliability Enhancement via Virtual Machine Placement Optimization.
IEEE Trans. Serv. Comput., 2017

Online QoS Prediction for Runtime Service Adaptation via Adaptive Matrix Factorization.
IEEE Trans. Parallel Distributed Syst., 2017

Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition.
ACM Trans. Auton. Adapt. Syst., 2017

Using discriminative feature in software entities for relevance identification of code changes.
J. Softw. Evol. Process., 2017

On Connectivity of Wireless Sensor Networks with Directional Antennas.
Sensors, 2017

Finding weighted k-truss communities in large networks.
Inf. Sci., 2017

Optimal design of coupling preferences to mitigate traffic congestion in interconnected networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

CARP: Context-Aware Reliability Prediction of Black-Box Web Services.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

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

Drain: An Online Log Parsing Approach with Fixed Depth Tree.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

An Embedding Based Factorization Machine Approach for Web Service QoS Prediction.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems Workshops, 2017

An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
A Spatial-Temporal QoS Prediction Approach for Time-aware Web Service Recommendation.
ACM Trans. Web, 2016

Location-Aware and Personalized Collaborative Filtering for Web Service Recommendation.
IEEE Trans. Serv. Comput., 2016

Web Service Personalized Quality of Service Prediction via Reputation-Based Matrix Factorization.
IEEE Trans. Reliab., 2016

Collaborative Web Service Quality Prediction via Exploiting Matrix Factorization and Network Map.
IEEE Trans. Netw. Serv. Manag., 2016

Multiobjective Vehicle Routing Problems With Simultaneous Delivery and Pickup and Time Windows: Formulation, Instances, and Algorithms.
IEEE Trans. Cybern., 2016

On Cloud Service Reliability Enhancement with Optimal Resource Usage.
IEEE Trans. Cloud Comput., 2016

Run-time resolution of service property conflicts in web service composition.
Int. J. Web Grid Serv., 2016

Automated structural semantic annotation for RESTful services.
Int. J. Web Grid Serv., 2016

MUIT: A Middleware for Adaptive Mobile Web-based User Interfaces in WS-BPEL.
CoRR, 2016

On analyzing eavesdropping behaviours in underwater acoustic sensor networks.
Proceedings of the 11th ACM International Conference on Underwater Networks & Systems, 2016

Asymmetric Correlation Regularized Matrix Factorization for Web Service Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2016

Time-Aware and Sparsity-Tolerant QoS Prediction Based on Collaborative Filtering.
Proceedings of the IEEE International Conference on Web Services, 2016

User-Specific Rating Prediction for Mobile Applications via Weight-Based Matrix Factorization.
Proceedings of the IEEE International Conference on Web Services, 2016

On local connectivity of cognitive radio ad hoc networks with directional antennas.
Proceedings of the 2016 IEEE International Conference on Communication Systems, 2016

A Novel Hybrid Data Mining Framework for Credit Evaluation.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

A Novel Service Recommendation Approach Considering the User's Trust Network.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

Online personalized QoS prediction approach for cloud services.
Proceedings of the 4th International Conference on Cloud Computing and Intelligence Systems, 2016

Effect of traffic generation patterns on traffic performance of complex networks.
Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016

An effective rewiring strategy for optimizing traffic performance of communication networks.
Proceedings of the 2016 IEEE Asia Pacific Conference on Circuits and Systems, 2016

Community Detection in Location-Based Social Networks: An Entropy-Based Approach.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2015
Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation Systems.
IEEE Trans. Serv. Comput., 2015

Selecting an Optimal Fault Tolerance Strategy for Reliable Service-Oriented Systems with Local and Global Constraints.
IEEE Trans. Computers, 2015

Context-Aware Reliability Prediction of Black-Box Services.
CoRR, 2015

Service fault tolerance for highly reliable service-oriented systems: an overview.
Sci. China Inf. Sci., 2015

A Privacy-Preserving QoS Prediction Framework for Web Service Recommendation.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

QoS Prediction of Web Services Based on Two-Phase K-Means Clustering.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

Characterizing RESTful Web Services Usage on Smartphones: A Tale of Native Apps and Web Apps.
Proceedings of the 2015 IEEE International Conference on Web Services, 2015

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

QoS Prediction in Dynamic Web Services with Asymmetric Correlation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

Entropy-Based Service Selection with Uncertain QoS for Mobile Cloud Computing.
Proceedings of the IEEE Conference on Collaboration and Internet Computing, 2015

Correlation-Based Top-k Recommendation for Web Services.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
An Online Performance Prediction Framework for Service-Oriented Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2014

Investigating QoS of Real-World Web Services.
IEEE Trans. Serv. Comput., 2014

Reliability-Based Design Optimization for Cloud Migration.
IEEE Trans. Serv. Comput., 2014

Web Service Recommendation via Exploiting Location and QoS Information.
IEEE Trans. Parallel Distributed Syst., 2014

Context-aware mobile service adaptation via a Co-evolution eXtended Classifier System in mobile network environments.
Mob. Inf. Syst., 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

A Trust-Aware Search Engine for Complex Service Computing.
Int. J. Web Serv. Res., 2014

A topology-aware method for scientific application deployment on cloud.
Int. J. Web Grid Serv., 2014

A fault-tolerant framework for QoS-aware web service composition via case-based reasoning.
Int. J. Web Grid Serv., 2014

CGA-based deadlock solving strategies towards vehicle sensing systems.
EURASIP J. Wirel. Commun. Netw., 2014

A Runtime Verification Based Trace-Oriented Monitoring Framework for Cloud Systems.
Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering Workshops, 2014

Model defined fault tolerance in cloud.
Proceedings of the 6th Asia-Pacific Symposium on Internetware, 2014

A Novel Online Reliability Prediction Approach for Service-Oriented Systems.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Combining Global and Local Trust for Service Recommendation.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Location-Based Hierarchical Matrix Factorization for Web Service Recommendation.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition.
Proceedings of the Service-Oriented Computing - 12th International Conference, 2014

Towards Online, Accurate, and Scalable QoS Prediction for Runtime Service Adaptation.
Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014

Trace Bench: An Open Data Set for Trace-Oriented Monitoring.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

Towards an Open Data Set for Trace-Oriented Monitoring.
Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

QoS-Aware Web Service Recommendation via Collaborative Filtering.
Proceedings of the Web Services Foundations, 2014

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

Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization.
IEEE Trans. Serv. Comput., 2013

Personalized Web Service Recommendation via Normal Recovery Collaborative Filtering.
IEEE Trans. Serv. Comput., 2013

Personalized QoS-Aware Web Service Recommendation and Visualization.
IEEE Trans. Serv. Comput., 2013

QoS Ranking Prediction for Cloud Services.
IEEE Trans. Parallel Distributed Syst., 2013

Personalized Reliability Prediction of Web Services.
ACM Trans. Softw. Eng. Methodol., 2013

Mashup Service Recommendation Based on Usage History and Service Network.
Int. J. Web Serv. Res., 2013

Scaling Service-Oriented Applications into Geo-distributed Clouds.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

An efficient fault-tolerant scheduling algorithm for periodic real-time tasks in heterogeneous platforms.
Proceedings of the 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, 2013

Trace Norm Regularized Matrix Factorization for Service Recommendation.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

Mashup Service Recommendation Based on User Interest and Social Network.
Proceedings of the 2013 IEEE 20th International Conference on Web Services, Santa Clara, CA, USA, June 28, 2013

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

Particle Swarm Optimization for Energy-Aware Virtual Machine Placement Optimization in Virtualized Data Centers.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

Service-Generated Big Data and Big Data-as-a-Service: An Overview.
Proceedings of the IEEE International Congress on Big Data, 2013

Trust-Aware Service Recommendation via Exploiting Social Networks.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

Reputation-Aware QoS Value Prediction of Web Services.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013

DR2: Dynamic Request Routing for Tolerating Latency Variability in Online Cloud Applications.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012
Component Ranking for Fault-Tolerant Cloud Applications.
IEEE Trans. Serv. Comput., 2012

A spectral clustering-based optimal deployment method for scientific application in cloud computing.
Int. J. Web Grid Serv., 2012

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

A Clustering-Based QoS Prediction Approach for Web Service Recommendation.
Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

Real-Time Performance Prediction for Cloud Components.
Proceedings of the 15th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Workshops, 2012

WSP: A Network Coordinate Based Web Service Positioning Framework for Response Time Prediction.
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

Online Optimization of VM Deployment in IaaS Cloud.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Context-Aware Service Adaptation via Learning Classifier System with Co-evolutionary Mechanism.
Proceedings of the 2012 IEEE Ninth International Conference on Services Computing, 2012

A Latency-Aware Co-deployment Mechanism for Cloud-Based Services.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

Topology-Aware Deployment of Scientific Applications in Cloud Computing.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
QoS management of web services.
PhD thesis, 2011

QoS-Aware Web Service Recommendation by Collaborative Filtering.
IEEE Trans. Serv. Comput., 2011

A Global Graph-based Approach for Transaction and QoS-aware Service Composition.
KSII Trans. Internet Inf. Syst., 2011

Reliable web service selection via QoS uncertainty computing.
Int. J. Web Grid Serv., 2011

DH4SS: a distributed heuristic for QoS-based service selection.
Int. J. Web Grid Serv., 2011

An Optimized Player Taxonomy Model for Mobile MMORPGs with Millions of Users.
Adv. Hum. Comput. Interact., 2011

Personalized Open API Recommendation in Clouds Via Item-based Collaborative Filtering.
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011

Exploring Latent Features for Memory-Based QoS Prediction in Cloud Computing.
Proceedings of the 30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011), 2011

WSPred: A Time-Aware Personalized QoS Prediction Framework for Web Services.
Proceedings of the IEEE 22nd International Symposium on Software Reliability Engineering, 2011

NRCF: A Novel Collaborative Filtering Method for Service Recommendation.
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

Improving MapReduce Performance via Heterogeneity-Load-Aware Partition Function.
Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

Evaluating Feedback Ratings for Measuring Reputation of Web Services.
Proceedings of the IEEE International Conference on Services Computing, 2011

Adaptive QoS-Aware Service Process Reconfiguration.
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

BFTCloud: A Byzantine Fault Tolerance Framework for Voluntary-Resource Cloud Computing.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

A User Experience-Based Cloud Service Redeployment Mechanism.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

Toward Optimal Deployment of Communication-Intensive Cloud Applications.
Proceedings of the IEEE International Conference on Cloud Computing, 2011

2010
Optimal Fault Tolerance Strategy Selection for Web Services.
Int. J. Web Serv. Res., 2010

An adaptive QoS-aware fault tolerance strategy for web services.
Empir. Softw. Eng., 2010

CloudRank: A QoS-Driven Component Ranking Framework for Cloud Computing.
Proceedings of the 29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010), New Delhi, Punjab, India, October 31, 2010

FTCloud: A Component Ranking Framework for Fault-Tolerant Cloud Applications.
Proceedings of the IEEE 21st International Symposium on Software Reliability Engineering, 2010

Distributed QoS Evaluation for Real-World Web Services.
Proceedings of the IEEE International Conference on Web Services, 2010

WSExpress: A QoS-aware Search Engine for Web Services.
Proceedings of the IEEE International Conference on Web Services, 2010

Component recommendation for cloud applications.
Proceedings of the 2nd International Workshop on Recommendation Systems for Software Engineering, 2010

Collaborative reliability prediction of service-oriented systems.
Proceedings of the 32nd ACM/IEEE International Conference on Software Engineering, 2010

Optimization Technique for Commercial Mobile MMORPG.
Proceedings of the Entertainment for Education. Digital Techniques and Systems, 2010

2009
WSRec: A Collaborative Filtering Based Web Service Recommender System.
Proceedings of the IEEE International Conference on Web Services, 2009

A QoS-aware fault tolerant middleware for dependable service composition.
Proceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, 2009

2008
A QoS-Aware Middleware for Fault Tolerant Web Services.
Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), 2008

A Distributed Replication Strategy Evaluation and Selection Framework for Fault Tolerant Web Services.
Proceedings of the 2008 IEEE International Conference on Web Services (ICWS 2008), 2008

WS-DREAM: A distributed reliability assessment Mechanism for Web Services.
Proceedings of the 38th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2008

2007
RA-model: a taxonomy model of player activities in mobile MMORPGs.
Proceedings of the 4th International Conference on Mobile Technology, 2007

2006
Creating Emotions by Characters Design for Computer Games.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2006


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