Yun Peng

Orcid: 0000-0001-6358-2333

According to our database1, Yun Peng authored at least 174 papers between 1985 and 2024.

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Bibliography

2024
Gria: an efficient deterministic concurrency control protocol.
Frontiers Comput. Sci., August, 2024

Long-Term SAR Data Analysis for Subsidence Monitoring and Correlation Study at Beijing Capital Airport.
Remote. Sens., February, 2024

Auction-Based Crowdsourced First and Last Mile Logistics.
IEEE Trans. Mob. Comput., January, 2024

A 3D Point Cloud Classification Method Based on Adaptive Graph Convolution and Global Attention.
Sensors, January, 2024

Fiber Salinity Sensing Based on Single-Photon Interferometer With Quantum-Limited Precision.
IEEE Trans. Instrum. Meas., 2024

Distributed Differential Privacy via Shuffling Versus Aggregation: A Curious Study.
IEEE Trans. Inf. Forensics Secur., 2024

Quantitative Analysis of SAR Image Geometric Distortion and Its Application in Deformation Rate Fusion Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

High-Resolution Land-Cover Mapping Based on a Cross-Resolution Deep Learning Framework and Available Low-Resolution Labels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Enhancing LLM-Based Coding Tools through Native Integration of IDE-Derived Static Context.
CoRR, 2024

ChatGraph: Chat with Your Graphs.
CoRR, 2024

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Prompt Tuning in Code Intelligence: An Experimental Evaluation.
IEEE Trans. Software Eng., November, 2023

APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, November, 2023

(p,q)-biclique counting and enumeration for large sparse bipartite graphs.
VLDB J., September, 2023

An integrated simulation and AHP-entropy-based NR-TOPSIS method for automated container terminal layout planning.
Expert Syst. Appl., September, 2023

Smart Contract Vulnerability Detection Based on Deep Learning and Multimodal Decision Fusion.
Sensors, August, 2023

CFD simulation and optimization of ventilation for the layout of community architecture inspired by fishbone form.
Int. J. Model. Simul. Sci. Comput., August, 2023

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?
IEEE Trans. Software Eng., April, 2023

API Usage Recommendation Via Multi-View Heterogeneous Graph Representation Learning.
IEEE Trans. Software Eng., 2023

Semi-Supervised Bolt Anomaly Detection Based on Local Feature Reconstruction.
IEEE Trans. Instrum. Meas., 2023

EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023

A Framework for Privacy Preserving Localized Graph Pattern Query Processing.
Proc. ACM Manag. Data, 2023

Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases.
Proc. ACM Manag. Data, 2023

Distributed Differential Privacy via Shuffling vs Aggregation: a Curious Study.
IACR Cryptol. ePrint Arch., 2023

BAGEL: Backdoor Attacks against Federated Contrastive Learning.
CoRR, 2023

Less is More? An Empirical Study on Configuration Issues in Python PyPI Ecosystem.
CoRR, 2023

VLUCI: Variational Learning of Unobserved Confounders for Counterfactual Inference.
CoRR, 2023

CONTRACTFIX: A Framework for Automatically Fixing Vulnerabilities in Smart Contracts.
CoRR, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Generative Type Inference for Python.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

A Survey of Privacy Preserving Subgraph Matching Methods.
Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022
Simultaneous Measurement of Seawater Salinity and Temperature With Composite Fiber-Optic Interferometer.
IEEE Trans. Instrum. Meas., 2022

Fast Network K-function-based Spatial Analysis.
Proc. VLDB Endow., 2022

Chest Radiographs Using a Context-Fusion Convolution Neural Network (CNN): Can It Distinguish the Etiology of Community-Acquired Pneumonia (CAP) in Children?
J. Digit. Imaging, 2022

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities.
CoRR, 2022

Research on Multidimensional Trust Evaluation Mechanism of FinTech Based on Blockchain.
IEEE Access, 2022

Source Code Summarization with Structural Relative Position Guided Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2022

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

DeepEnReg: Joint Enhancement and Affine Registration for Low-contrast Medical Images.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

LAN: Learning-based Approximate k-Nearest Neighbor Search in Graph Databases.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Semi-supervised Bolt Anomaly Detection in Haphazard Environment.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
APIBench: A Benchmark Dataset for Evaluating API Recommendation Approaches in Python and Java.
Dataset, December, 2021

(p, q)-biclique Counting and Enumeration for Large Sparse Bipartite Graphs.
Proc. VLDB Endow., 2021

Rumor Detection Based on Attention CNN and Time Series of Context Information.
Future Internet, 2021

VColor*: a practical approach for coloring large graphs.
Frontiers Comput. Sci., 2021

Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art.
Data Sci. Eng., 2021

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.
CoRR, 2021

Transfer learning from an artificial radiograph-landmark dataset for registration of the anatomic skull model to dual fluoroscopic X-ray images.
Comput. Biol. Medicine, 2021

Imaging features and differences among the three primary malignant non-Wilms tumors in children.
BMC Medical Imaging, 2021

Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.
BMC Medical Imaging, 2021

An Empirical Study for Common Language Features Used in Python Projects.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Graph Edit Distance Learning via Modeling Optimum Matchings with Constraints.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Simulation research on the influence of special ships on waterway through capacity for a complex waterway system: a case study for the Port of Meizhou Bay.
Simul., 2020

An association-constrained LDA model for joint extraction of product aspects and opinions.
Inf. Sci., 2020

Most similar maximal clique query on large graphs.
Frontiers Comput. Sci., 2020

Graph Embedding for Combinatorial Optimization: A Survey.
CoRR, 2020

Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation.
Comput. Intell. Neurosci., 2020

Experimental and theoretical analysis of fruit plucking patterns for robotic tomato harvesting.
Comput. Electron. Agric., 2020

2019
Age-specific gray and white matter DTI atlas for human brain at 33, 36 and 39 postmenstrual weeks.
NeuroImage, 2019

Comparison of Classifier Configurations for the Classification of Cervical Intraepithelial Neoplasia Using Acetic Acid Test Images.
J. Medical Imaging Health Informatics, 2019

Construction of brain structural connectivity network using a novel integrated algorithm based on ensemble average propagator.
Comput. Biol. Medicine, 2019

Computed tomography-based predictive nomogram for differentiating primary progressive pulmonary tuberculosis from community-acquired pneumonia in children.
BMC Medical Imaging, 2019

A Fuzzy Reasoning Model for Cervical Intraepithelial Neoplasia Classification Using Temporal Grayscale Change and Textures of Cervical Images During Acetic Acid Tests.
IEEE Access, 2019

Towards Automated Generation of Bug Benchmark for Smart Contracts.
Proceedings of the 2019 IEEE International Conference on Software Testing, 2019

Accurate Object Recognition for Unmanned Aerial Vehicle Electric Power Inspection using an Improved YOLOv2 Algorithm.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

2018
Efficient key management scheme for health blockchain.
CAAI Trans. Intell. Technol., 2018

Altered structural-functional coupling of large-scale brain networks in early Tourette syndrome children.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

Optimization of Ammonia-water Absorption Refrigeration System for Ocean-going Fishing Vessels Based on PSO-GA Algorithm.
Proceedings of the 14th International Conference on Natural Computation, 2018

2017
Human-Powered Data Cleaning for Probabilistic Reachability Queries on Uncertain Graphs.
IEEE Trans. Knowl. Data Eng., 2017

Multi-modal multiple kernel learning for accurate identification of Tourette syndrome children.
Pattern Recognit., 2017

Image quality improvement using model-based iterative reconstruction in low dose chest CT for children with necrotizing pneumonia.
BMC Medical Imaging, 2017

A fast and accurate segmentation method for medical images.
Proceedings of the Visual Information Processing and Communication VIII, Burlingame, CA, USA, 29 January 2017, 2017

Multi-threshold white matter structural networks fusion for accurate diagnosis of Tourette syndrome children.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Diffusion tractography and graph theory analysis reveal the disrupted rich-club organization of white matter structural networks in early Tourette Syndrome children.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017

Lightweight Backup and Efficient Recovery Scheme for Health Blockchain Keys.
Proceedings of the 13th IEEE International Symposium on Autonomous Decentralized System, 2017

Design of Network Media's Digital Rights Management Scheme Based on Blockchain Technology.
Proceedings of the 13th IEEE International Symposium on Autonomous Decentralized System, 2017

Random Walk Based Trade Reference Computation for Personal Credit Scoring.
Proceedings of the 13th IEEE International Symposium on Autonomous Decentralized System, 2017

Solving the Local-Minimum Problem in Training Deep Learning Machines.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Risk assessment for oil&gas resource countries based on PCA-SVM model.
Proceedings of the 20th International Conference on Information Fusion, 2017

2016
A diagnosis model for early Tourette syndrome children based on brain structural network characteristics.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Using support vector machines with tract-based spatial statistics for automated classification of Tourette syndrome children.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Global and regional cortical connectivity maturation index (CCMI) of developmental human brain with quantification of short-range association tracts.
Proceedings of the Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, California, United States, 27 February, 2016

Training deep neural networks with gradual deconvexification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

VColor: A practical vertex-cut based approach for coloring large graphs.
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

Spatial characterization of innervation zones under electrically elicited M-wave.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Authenticated Subgraph Similarity Searchin Outsourced Graph Databases.
IEEE Trans. Knowl. Data Eng., 2015

The normalized risk-averting error criterion for avoiding nonglobal local minima in training neural networks.
Neurocomputing, 2015

Semantic web-based supplier discovery system for building a long-term supply chain.
Int. J. Comput. Integr. Manuf., 2015

A framework to canonicalize manufacturing service capability models.
Comput. Ind. Eng., 2015

Tourism Service Composition Based on Multi-objective Optimization.
Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015

2014
Towards Efficient Authenticated Subgraph Query Service in Outsourced Graph Databases.
IEEE Trans. Serv. Comput., 2014

Side-Effect Estimation: A Filtering Approach to the View Update Problem.
IEEE Trans. Knowl. Data Eng., 2014

A private DNA motif finding algorithm.
J. Biomed. Informatics, 2014

Development of a novel variable stiffness actuator with automatic rigidity/compliance switching.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Design and modelling of a novel linkage mechanism based variable stiffness actuator.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2013

Spectral Decomposition for Optimal Graph Index Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Overcoming the local-minimum problem in training multilayer perceptrons by gradual deconvexification.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Ontology-Based Dynamic Forms for Manufacturing Capability Information Collection.
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013

A Framework for Developing Manufacturing Service Capability Information Model.
Proceedings of the Advances in Production Management Systems. Sustainable Production and Service Supply Chains, 2013

2012
Bayesian Network Revision with Probabilistic Constraints.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE Training Method.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
The design and realization of a Lightweight RFID Mechanism Integrating Security and Anti-collision.
J. Softw., 2011

The RFID mechanism design based on CDMA and hash function.
Int. J. Radio Freq. Identif. Technol. Appl., 2011

Extensible Dynamic Form approach for supplier discovery.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011

Selectivity estimation of twig queries on cyclic graphs.
Proceedings of the 27th International Conference on Data Engineering, 2011

Predicting the optimal ad-hoc index for reachability queries on graph databases.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
A Reflective NetGAP Design and its Session Mechanism Realization based on Agent.
J. Networks, 2010

Bayesian Network Reasoning with Uncertain Evidences.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

Integrating Probability Constraints into Bayesian Nets.
Proceedings of the ECAI 2010, 2010

2009
Semantic Similarity Analysis of XML Schema using Grid Computing.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2009

BayesOWL: A Prototype System for Uncertainty in Semantic Web.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008
A Design of Message Transferring Based on Mailbox in NetGAP.
Proceedings of the PACIIA 2008, 2008

An Algorithm of Web Text Clustering Analysis Based on Fuzzy Set.
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008

A layered approach to semantic similarity analysis of XML schemas.
Proceedings of the IEEE International Conference on Information Reuse and Integration, 2008

An Efficient Method for Probabilistic Knowledge Integration.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Joint Routing and Channel Assignment in WMN Using Extended Petri Net.
Proceedings of the 28th IEEE International Conference on Distributed Computing Systems Workshops (ICDCS 2008 Workshops), 2008

Throughput Maximization with Traffic Profile in Wireless Mesh Network.
Proceedings of the Computing and Combinatorics, 14th Annual International Conference, 2008

2007
Learning the Semantic Meaning of a Concept from the Web.
Proceedings of the Advances in Artificial Intelligence, 2007

2006
Belief Update in Bayesian Networks Using Uncertain Evidence.
Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2006), 2006

2005
Search on the Semantic Web.
Computer, 2005

Modifying Bayesian Networks by Probability Constraints.
Proceedings of the UAI '05, 2005

A Bayesian Network Approach to Ontology Mapping.
Proceedings of the Semantic Web - ISWC 2005, 4th International Semantic Web Conference, 2005

Finding and Ranking Knowledge on the Semantic Web.
Proceedings of the Semantic Web - ISWC 2005, 4th International Semantic Web Conference, 2005

On Homeland Security and the Semantic Web: A Provenance and Trust Aware Inference Framework.
Proceedings of the AI Technologies for Homeland Security, 2005

A Framework for Bayesian Network Mapping.
Proceedings of the Proceedings, 2005

Swoogle: Searching for Knowledge on the Semantic Web.
Proceedings of the Proceedings, 2005

2004
Quantitative Agent Service Matching.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

A Probabilistic Extension to Ontology Language OWL.
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004

Swoogle: a search and metadata engine for the semantic web.
Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, 2004

2002
A Neural Network Approach to Approximating Map in Belief Networks.
Int. J. Neural Syst., 2002

ITtalks: A Case Study in the Semantic Web and DAML+OIL.
IEEE Intell. Syst., 2002

Agent Communication in DAML World.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

Semantic Resolution for E-commerce.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

Learning in the Broker Agent.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

Agents Making Sense of the Semantic Web.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

An Extended Bayesian Belief Network Model of Multi-agent Systems for Supply Chain Managements.
Proceedings of the Innovative Concepts for Agent-Based Systems, 2002

Ontologies as a New Cost Factor in Enterprise Integration.
Proceedings of the Enterprise Inter- and Intra-Organizational Integration: Building International Consensus, 2002

2001
ITTALKS: A Case Study in the Semantic Web and DAML.
Proceedings of SWWS'01, The first Semantic Web Working Symposium, Stanford University, California, USA, July 30, 2001

ITTALKS: An Application of Agents in the Semantic Web.
Proceedings of the Engineering Societies in the Agents World II, 2001

2000
Modelling, visualization, and interaction techniques for diagnosis and treatment planning in cardiology.
Comput. Graph., 2000

A Mean Field Approach to MAP in Belief Networks.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

B2B E-Commerce Infrastructure Using Agents and Standards - A Potential Impact Analysis and Architecture.
Proceedings of the Global Engineering, 2000

Multi-Agent Systems, Internet and Applications - Introduction.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000

Modeling Agent Systems by Bayesian Belief Networks.
Proceedings of the Formal Approaches to Agent-Based Systems, First International Workshop, 2000

Using Colored Petri Nets for Conversation Modeling.
Proceedings of the Issues in Agent Communication, 2000

1999
Constructing belief networks from realistic data.
Int. J. Intell. Syst., 1999

Agent communication languages: the current landscape.
IEEE Intell. Syst., 1999

Agent-Based Approach for Manufacturing Integration: The Ciimplex Experience.
Appl. Artif. Intell., 1999

Performance comparison of four software architectures for distributed computations.
Proceedings of the Parallel Computing: Fundamentals & Applications, 1999

An Agent-Based Infrastructure for Enterprise Integration.
Proceedings of the 1st International Symposium on Agent Systems and Applications / 3rd International Symposium on Mobile Agents (ASA/MA '99), 1999

A neural network approach to MAP in belief networks.
Proceedings of the International Joint Conference Neural Networks, 1999

The Interoperability Problem: Bringing together Mobile Agents and Agent Communication Languages.
Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32), 1999

Agent Development with Jackal.
Proceedings of the Third Annual Conference on Autonomous Agents, 1999

1998
Mobile agents can benefit from standards efforts on interagent communication.
IEEE Commun. Mag., 1998

Computational Models for the Formation of Protocell Structures.
Artif. Life, 1998

A Multi-Agent System for Enterprise Integration.
Proceedings of the Third International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology, 1998

1996
A neural network learning method for belief networks.
Int. J. Intell. Syst., 1996

1995
Relaxing backpropagation networks as associative memories.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994
High-specificity neurological localization using a connectionist model.
Artif. Intell. Medicine, 1994

1993
Local conditions for phase transitions in neural networks with variable connection strengths.
Neural Networks, 1993

A connectionist approach to diagnostic problem solving using causal networks.
Inf. Sci., 1993

Minimizing Complexity in Cellular Automata Models of Self-Replication.
Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

1992
A Connectionist Approach to Vertex Covering Problems.
Int. J. Neural Syst., 1992

1991
Design and Analysis of Competition-Based Neural Networks.
Complex Syst., 1991

1989
A connectionist model for diagnostic problem solving.
IEEE Trans. Syst. Man Cybern., 1989

A comfort measure for diagnostic problem solving.
Inf. Sci., 1989

1987
A Probabilistic Causal Model for Diagnostic Problem Solving Part II: Diagnostic Strategy.
IEEE Trans. Syst. Man Cybern., 1987

A Probabilistic Causal Model for Diagnostic Problem Solving Part I: Integrating Symbolic Causal Inference with Numeric Probabilistic Inference.
IEEE Trans. Syst. Man Cybern., 1987

Diagnostic problem-solving with causal chaining.
Int. J. Intell. Syst., 1987

1986
Plausibility of Diagnostic Hypotheses: The Nature of Simplicity.
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986

1985
A formal model of diagnostic inference, II. Algorithmic solution and application.
Inf. Sci., 1985


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