Zhi Jin

Orcid: 0000-0003-1087-226X

Affiliations:
  • Peking University (PKU), Key Laboratory of High Confidence Software Technologies, School of Computer Science, Beijing, China
  • National University of Defense Technology, Changsha, China (PhD)


According to our database1, Zhi Jin authored at least 376 papers between 1998 and 2026.

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Bibliography

2026
Knowledge fusion in deep learning-based medical vision-language models: A review.
Inf. Fusion, 2026

Using external knowledge to enhance user preferences for better sequential recommendation.
Expert Syst. Appl., 2026

2025
Fed-OLF: Federated Oversampling Learning Framework for Imbalanced Software Defect Prediction Under Privacy Protection.
IEEE Trans. Reliab., September, 2025

Large Language Model-Aware In-Context Learning for Code Generation.
ACM Trans. Softw. Eng. Methodol., September, 2025

VulAgent: Hypothesis-Validation based Multi-Agent Vulnerability Detection.
CoRR, September, 2025

UserTrace: User-Level Requirements Generation and Traceability Recovery from Software Project Repositories.
CoRR, September, 2025

Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol.
CoRR, August, 2025

Requirements Development and Formalization for Reliable Code Generation: A Multi-Agent Vision.
CoRR, August, 2025

Data Dependency Inference for Industrial Code Generation Based on UML Sequence Diagrams.
CoRR, August, 2025

A System Model Generation Benchmark from Natural Language Requirements.
CoRR, August, 2025

Learning to Evolve: Bayesian-Guided Continual Knowledge Graph Embedding.
CoRR, August, 2025

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization.
CoRR, August, 2025

What You See Is What You Get: Prototype Generation for IoT End-User Programming.
IEEE Trans. Software Eng., July, 2025

MAAD: Automate Software Architecture Design through Knowledge-Driven Multi-Agent Collaboration.
CoRR, July, 2025

StackTrans: From Large Language Model to Large Pushdown Automata Model.
CoRR, July, 2025

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems.
CoRR, July, 2025

iReDev: A Knowledge-Driven Multi-Agent Framework for Intelligent Requirements Development.
CoRR, July, 2025

The Current Challenges of Software Engineering in the Era of Large Language Models.
ACM Trans. Softw. Eng. Methodol., June, 2025

SCodeSearcher: soft contrastive learning for code search.
Empir. Softw. Eng., June, 2025

Knowledge-Guided Multi-Agent Framework for Automated Requirements Development: A Vision.
CoRR, June, 2025

Large Language Model Unlearning for Source Code.
CoRR, June, 2025

Computational Thinking Reasoning in Large Language Models.
CoRR, June, 2025

Co-Evidential Fusion with Information Volume for Medical Image Segmentation.
CoRR, June, 2025

Multi-View Riemannian Manifolds Fusion Enhancement for Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., May, 2025

Rethinking Regularization Methods for Knowledge Graph Completion.
CoRR, May, 2025

Towards Structure-aware Model for Multi-modal Knowledge Graph Completion.
CoRR, May, 2025

Mutual Evidential Deep Learning for Medical Image Segmentation.
CoRR, May, 2025

Rethinking Repetition Problems of LLMs in Code Generation.
CoRR, May, 2025

Expressing the Needs in Smart Home: What Is the End Users' Favorite Way.
ACM Trans. Comput. Hum. Interact., April, 2025

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation.
CoRR, April, 2025

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation.
CoRR, April, 2025

CodeScore: Evaluating Code Generation by Learning Code Execution.
ACM Trans. Softw. Eng. Methodol., March, 2025

Transformer-based code model with compressed hierarchy representation.
Empir. Softw. Eng., March, 2025

SEAlign: Alignment Training for Software Engineering Agent.
CoRR, March, 2025

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine.
CoRR, March, 2025

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs.
CoRR, March, 2025

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion.
CoRR, March, 2025

Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization.
CoRR, March, 2025

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding.
CoRR, March, 2025

Systematic Literature Review of Commercial Participation in Open Source Software.
ACM Trans. Softw. Eng. Methodol., February, 2025

Structured Chain-of-Thought Prompting for Code Generation.
ACM Trans. Softw. Eng. Methodol., February, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.
CoRR, February, 2025

SAGA: Summarization-Guided Assert Statement Generation.
J. Comput. Sci. Technol., January, 2025

PATCH: Empowering Large Language Model with Programmer-Intent Guidance and Collaborative-Behavior Simulation for Automatic Bug Fixing.
CoRR, January, 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.
CoRR, January, 2025

UniTrans: A Unified Vertical Federated Knowledge Transfer Framework for Enhancing Cross-Hospital Collaboration.
CoRR, January, 2025

Co-evidential fusion with information volume for semi-supervised medical image segmentation.
Pattern Recognit., 2025

SQGE: Support-query prototype guidance and enhancement for few-shot relational triple extraction.
Neural Networks, 2025

Neighborhood structure enhancement and denoising method for multi-behavior recommendation.
Neural Networks, 2025

Knowledge-enhanced prototypical network with graph structure and semantic information interaction for low-shot joint spoken language understanding.
Expert Syst. Appl., 2025

Evaluating Large Language Models for Requirements Question Answering in Industrial Aerospace Software.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

A First Look at Package-to-Group Mechanism: An Empirical Study of the Linux Distributions.
Proceedings of the IEEE International Conference on Software Analysis, 2025

Requirements Dependency Driven Test Case Generation: An Automotive Industry Practice.
Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Leveraging Large Language Models for Reusable Requirements Management in Aerospace Software.
Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Taxonomy-Guided Reasoning for Requirements Classification: A Study in Aerospace Industry.
Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Automatic Multi-level Feature Tree Construction for Domain-Specific Reusable Artifacts Management.
Proceedings of the 33rd IEEE International Requirements Engineering Conference, 2025

Evidential Prototype Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Finite State Automata Inside Transformers with Chain-of-Thought: A Mechanistic Study on State Tracking.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisit Self-Debugging with Self-Generated Tests for Code Generation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

A Comprehensive Evaluation on Event Reasoning of Large Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
AceCoder: An Effective Prompting Technique Specialized in Code Generation.
ACM Trans. Softw. Eng. Methodol., November, 2024

Temporal knowledge graph reasoning based on evolutional representation and contrastive learning.
Appl. Intell., November, 2024

Self-Planning Code Generation with Large Language Models.
ACM Trans. Softw. Eng. Methodol., September, 2024

Self-Collaboration Code Generation via ChatGPT.
ACM Trans. Softw. Eng. Methodol., September, 2024

Generative AI for Self-Adaptive Systems: State of the Art and Research Roadmap.
ACM Trans. Auton. Adapt. Syst., September, 2024

WELL: Applying bug detectors to bug localization via weakly supervised learning.
J. Softw. Evol. Process., September, 2024

GABoost: Graph Alignment Boosting via Local Optimum Escape.
Proc. ACM Manag. Data, September, 2024

A Scalable Approach to Detecting Safety Requirements Inconsistencies for Railway Systems.
IEEE Trans. Intell. Transp. Syst., August, 2024

Graph Structure Enhanced Pre-Training Language Model for Knowledge Graph Completion.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Non-Autoregressive Line-Level Code Completion.
ACM Trans. Softw. Eng. Methodol., June, 2024

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems.
ACM Trans. Auton. Adapt. Syst., June, 2024

LearningChain: A Highly Scalable and Applicable Learning-Based Blockchain Performance Optimization Framework.
IEEE Trans. Netw. Serv. Manag., April, 2024

Poison Attack and Poison Detection on Deep Source Code Processing Models.
ACM Trans. Softw. Eng. Methodol., March, 2024

CodeBERT-Attack: Adversarial attack against source code deep learning models via pre-trained model.
J. Softw. Evol. Process., March, 2024

Improving domain-specific neural code generation with few-shot meta-learning.
Inf. Softw. Technol., February, 2024

Few-shot relational triple extraction with hierarchical prototype optimization.
Pattern Recognit., 2024

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.
Proc. ACM Softw. Eng., 2024

IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion.
Proc. ACM Softw. Eng., 2024

Decouple and Decorrelate: A Disentanglement Security Framework Combining Sample Weighting for Cross-Institution Biased Disease Diagnosis.
IEEE Internet Things J., 2024

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
CoRR, 2024

Exploring and Lifting the Robustness of LLM-powered Automated Program Repair with Metamorphic Testing.
CoRR, 2024

Exploring LLM-based Data Annotation Strategies for Medical Dialogue Preference Alignment.
CoRR, 2024

Generating Equivalent Representations of Code By A Self-Reflection Approach.
CoRR, 2024

Showing LLM-Generated Code Selectively Based on Confidence of LLMs.
CoRR, 2024

Python Symbolic Execution with LLM-powered Code Generation.
CoRR, 2024

An Evaluation of Requirements Modeling for Cyber-Physical Systems via LLMs.
CoRR, 2024

A new approach for encoding code and assisting code understanding.
CoRR, 2024

Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection.
CoRR, 2024

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model.
CoRR, 2024

M2CVD: Multi-Model Collaboration for Code Vulnerability Detection.
CoRR, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

MARE: Multi-Agents Collaboration Framework for Requirements Engineering.
CoRR, 2024

A Comprehensive Evaluation on Event Reasoning of Large Language Models.
CoRR, 2024

A Survey on Self-Evolution of Large Language Models.
CoRR, 2024

MEEL: Multi-Modal Event Evolution Learning.
CoRR, 2024

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories.
CoRR, 2024

HiRoPE: Length Extrapolation for Code Models.
CoRR, 2024

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation.
CoRR, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
CoRR, 2024

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback.
CoRR, 2024

Deep learning for code generation: a survey.
Sci. China Inf. Sci., 2024

Perception field based imitation learning for unlabeled multi-agent pathfinding.
Sci. China Inf. Sci., 2024

Exploring the Potential of Large Language Models in Self-adaptive Systems.
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024

Enabling Efficient Real-Time Requirements Inconsistency Detection for Safety-Critical Systems.
Proceedings of the 32nd IEEE International Requirements Engineering Conference, 2024

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HITS: High-coverage LLM-based Unit Test Generation via Method Slicing.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Sifting through the Chaff: On Utilizing Execution Feedback for Ranking the Generated Code Candidates.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

GraphCoder: Enhancing Repository-Level Code Completion via Coarse-to-fine Retrieval Based on Code Context Graph.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Detect Hidden Dependency to Untangle Commits.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Knowledge-Aware Code Generation with Large Language Models.
Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Focused: An Approach to Framework-Oriented Cross-Language Link Specification and Detection.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2024

KareCoder: A New Knowledge-Enriched Code Generation System.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Detection, Diagnosis, and Explanation: A Benchmark for Chinese Medial Hallucination Evaluation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Mutual Evidential Deep Learning for Semi-supervised Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

HiRoPE: Length Extrapolation for Code Models Using Hierarchical Position.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

MLeVLM: Improve Multi-level Progressive Capabilities based on Multimodal Large Language Model for Medical Visual Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

EVIT: Event-Oriented Instruction Tuning for Event Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Integrating Physician Diagnostic Logic into Large Language Models: Preference Learning from Process Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Software Service Engineering in the Era of Large Language Models.
Proceedings of the IEEE International Conference on Software Services Engineering, 2024

IEEE 2024 World Congress on Services.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
Empowering Domain Experts With Formal Methods for Consistency Verification of Safety Requirements.
IEEE Trans. Intell. Transp. Syst., December, 2023

CodeEditor: Learning to Edit Source Code with Pre-trained Models.
ACM Trans. Softw. Eng. Methodol., November, 2023

Knowledge graph completion method based on quantum embedding and quaternion interaction enhancement.
Inf. Sci., November, 2023

Vision-knowledge fusion model for multi-domain medical report generation.
Inf. Fusion, September, 2023

Privacy-preserving Resilient Consensus for Multi-agent Systems in a General Topology Structure.
ACM Trans. Priv. Secur., August, 2023

Massive Shape Formation in Grid Environments.
IEEE Trans Autom. Sci. Eng., July, 2023

AdaComplete: improve DL-based code completion method's domain adaptability.
Autom. Softw. Eng., June, 2023

A software-defined MAPE-K architecture for unmanned systems.
Sci. China Inf. Sci., May, 2023

On the Significance of Category Prediction for Code-Comment Synchronization.
ACM Trans. Softw. Eng. Methodol., April, 2023

TACO: Topics in Algorithmic COde generation dataset.
CoRR, 2023

ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation.
CoRR, 2023

Enhancing the Spatial Awareness Capability of Multi-Modal Large Language Model.
CoRR, 2023

Large Language Model-Aware In-Context Learning for Code Generation.
CoRR, 2023

Improving Code Generation by Dynamic Temperature Sampling.
CoRR, 2023

STEAM: Simulating the InTeractive BEhavior of ProgrAMmers for Automatic Bug Fixing.
CoRR, 2023

ZC3: Zero-Shot Cross-Language Code Clone Detection.
CoRR, 2023

Automated Static Warning Identification via Path-based Semantic Representation.
CoRR, 2023

WELL: Applying Bug Detectors to Bug Localization via Weakly Supervised Learning.
CoRR, 2023

EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models.
CoRR, 2023

SAGA: Summarization-Guided Assert Statement Generation.
CoRR, 2023

Plug-and-Play Medical Dialogue System.
CoRR, 2023

Neural Program Repair with Program Dependence Analysis and Effective Filter Mechanism.
CoRR, 2023

Enabling Programming Thinking in Large Language Models Toward Code Generation.
CoRR, 2023

ToolCoder: Teach Code Generation Models to use API search tools.
CoRR, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.
CoRR, 2023

Towards Enhancing In-Context Learning for Code Generation.
CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.
Proceedings of the IEEE International Conference on Software Analysis, 2023

Automating Extraction of Problem Diagrams from Natural Language Requirement Documents.
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

An RE'23 Workshop on Environment-Driven Requirements Engineering (EnviRE'23).
Proceedings of the 31st IEEE International Requirements Engineering Conference, RE 2023, 2023

ZC<sup>3</sup>: Zero-Shot Cross-Language Code Clone Detection.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Implant Global and Local Hierarchy Information to Sequence based Code Representation Models.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Interpretation-based Code Summarization.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

MCodeSearcher: Multi-View Contrastive Learning for Code Search.
Proceedings of the 14th Asia-Pacific Symposium on Internetware, 2023

SkCoder: A Sketch-based Approach for Automatic Code Generation.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Self-Edit: Fault-Aware Code Editor for Code Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

SEAG: Structure-Aware Event Causality Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Fine-Grained Scene Graph Generation with Overlap Region and Geometrical Center.
Comput. Graph. Forum, October, 2022

Turnover of Companies in OpenStack: Prevalence and Rationale.
ACM Trans. Softw. Eng. Methodol., 2022

Towards Robustness of Deep Program Processing Models - Detection, Estimation, and Enhancement.
ACM Trans. Softw. Eng. Methodol., 2022

IoTranx: Transactions for Safer Smart Spaces.
ACM Trans. Cyber Phys. Syst., 2022

Online adaptation for autonomous unmanned systems driven by requirements satisfaction model.
Softw. Syst. Model., 2022

Formally verifying consistency of sequence diagrams for safety critical systems.
Sci. Comput. Program., 2022

Testing software's changing features with environment-driven abstraction identification.
Requir. Eng., 2022

Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention Networks.
J. Syst. Softw., 2022

A unified multi-task learning model for AST-level and token-level code completion.
Empir. Softw. Eng., 2022

Poison Attack and Defense on Deep Source Code Processing Models.
CoRR, 2022

Antecedent Predictions Are Dominant for Tree-Based Code Generation.
CoRR, 2022

A Tree-structured Transformer for Program Representation Learning.
CoRR, 2022

What does Transformer learn about source code?
CoRR, 2022

Non-autoregressive Model for Full-line Code Completion.
CoRR, 2022

Massive self-organized shape formation in grid environments.
Sci. China Inf. Sci., 2022

Hierarchical Assessment of Safety Requirements for Configurations of Autonomous Driving Systems.
Proceedings of the 30th IEEE International Requirements Engineering Conference, 2022

An RE'22 Workshop on Environment-Driven Requirements Engineering (EnviRE'22).
Proceedings of the 30th IEEE International Requirements Engineering Conference Workshops, 2022

Fine-Tuning Pre-Trained Language Models Effectively by Optimizing Subnetworks Adaptively.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to represent programs with heterogeneous graphs.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Resilient Mechanism Against Byzantine Failure for Distributed Deep Reinforcement Learning.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

A Taxonomy for Architecting Safe Autonomous Unmanned Systems.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

Learning to Recommend Method Names with Global Context.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Automated Inconsistency Analysis of Real-Time Requirements: A Domain Expert Friendly Approach.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Targeting requirements violations of autonomous driving systems by dynamic evolutionary search (HOP at GECCO'22).
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Rethinking Positional Encoding in Tree Transformer for Code Representation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Goal-oriented Knowledge Reuse via Curriculum Evolution for Reinforcement Learning-based Adaptation.
Proceedings of the 29th Asia-Pacific Software Engineering Conference, 2022

2021
Companies' Participation in OSS Development-An Empirical Study of OpenStack.
IEEE Trans. Software Eng., 2021

Activity Diagram Synthesis Using Labelled Graphs and the Genetic Algorithm.
J. Comput. Sci. Technol., 2021

Approach to Generating TAP Rules in IoT Systems Based on Enviro nment Modeling.
Int. J. Softw. Informatics, 2021

A Game-Theoretical Self-Adaptation Framework for Securing Software-Intensive Systems.
CoRR, 2021

Massive Self-Assembly in Grid Environments.
CoRR, 2021

SmartCommit: a graph-based interactive assistant for activity-oriented commits.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Hey! Preparing Humans to do Tasks in Self-adaptive Systems.
Proceedings of the 16th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2021

Environment-Driven Abstraction Identification for Requirements-Based Testing.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

An RE'21 Workshop on Environment-Driven Requirements Engineering (EnviRE'21).
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

Smart3E: Enabling End Users to Express Their Needs for Smart Homes.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Integrating Tree Path in Transformer for Code Representation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SoManyConflicts: Resolve Many Merge Conflicts Interactively and Systematically.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Targeting Requirements Violations of Autonomous Driving Systems by Dynamic Evolutionary Search.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

EditSum: A Retrieve-and-Edit Framework for Source Code Summarization.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Software Services Engineering Manifesto - A Cross-Cutting Declaration.
Proceedings of the 2021 IEEE International Conference on Web Services, 2021

Cross-language Code Coupling Detection: A Preliminary Study on Android Applications.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021

Fast Adaptation to External Agents via Meta Imitation Counterfactual Regret Advantage.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

A Meta Reinforcement Learning-based Approach for Self-Adaptive System.
Proceedings of the IEEE International Conference on Autonomic Computing and Self-Organizing Systems, 2021

2020
Modular Tree Network for Source Code Representation Learning.
ACM Trans. Softw. Eng. Methodol., 2020

Empirical study of Data Completeness in Electronic Health Records in China.
Pac. Asia J. Assoc. Inf. Syst., 2020

Modeling programs hierarchically with stack-augmented LSTM.
J. Syst. Softw., 2020

Early validation of cyber-physical space systems via multi-concerns integration.
J. Syst. Softw., 2020

Preface.
J. Comput. Sci. Technol., 2020

Towards a fictional collective programming scenario: an approach based on the EIF loop.
Empir. Softw. Eng., 2020

Deep code comment generation with hybrid lexical and syntactical information.
Empir. Softw. Eng., 2020

Learning to Represent Programs with Heterogeneous Graphs.
CoRR, 2020

Towards Full-line Code Completion with Neural Language Models.
CoRR, 2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree.
CoRR, 2020

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Adaptive Data Sharing and Computation Offloading in Cloud-Edge Computing with Resource Constraints.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Retrieve and Refine: Exemplar-based Neural Comment Generation.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Scalable Multiple-View Analysis of Reactive Systems via Bidirectional Model Transformations.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Multi-task Learning based Pre-trained Language Model for Code Completion.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

How do companies collaborate in open source ecosystems?: an empirical study of OpenStack.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Privacy-Aware UAV Flights through Self-Configuring Motion Planning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Toward Better Summarizing Bug Reports With Crowdsourcing Elicited Attributes.
IEEE Trans. Reliab., 2019

IntelliMerge: a refactoring-aware software merging technique.
Proc. ACM Program. Lang., 2019

Preface.
J. Comput. Sci. Technol., 2019

Environment-Centric Safety Requirements for Autonomous Unmanned Systems.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

RE4CPS: Requirements Engineering for Cyber-Physical Systems.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

Automating Consistency Verification of Safety Requirements for Railway Interlocking Systems.
Proceedings of the 27th IEEE International Requirements Engineering Conference, 2019

POET: Privacy on the Edge with Bidirectional Data Transformations.
Proceedings of the 2019 IEEE International Conference on Pervasive Computing and Communications, 2019

Code Generation as a Dual Task of Code Summarization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Modelling and analysing resilient cyber-physical systems.
Proceedings of the 14th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2019

Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

2018
Simplifying the Formal Verification of Safety Requirements in Zone Controllers Through Problem Frames and Constraint-Based Projection.
IEEE Trans. Intell. Transp. Syst., 2018

Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence.
CoRR, 2018

Towards Better Summarizing Bug Reports with Crowdsourcing Elicited Attributes.
CoRR, 2018

Deep code comment generation.
Proceedings of the 26th Conference on Program Comprehension, 2018

Model Checking the Uncertainties in Software Systems Introduced by Intelligent Components.
Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018

Summarizing Source Code with Transferred API Knowledge.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Companies' domination in FLOSS development: an empirical study of OpenStack.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

On early statistical requirements validation of cyber-physical space systems.
Proceedings of the 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems, 2018

2017
Learning high-dimensional multimedia data.
Multim. Syst., 2017

Requirements-Driven Dynamic Adaptation to Mitigate Runtime Uncertainties for Self-Adaptive Systems.
CoRR, 2017

Learning to Infer API Mappings from API Documents.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Improved Knowledge Base Completion by the Path-Augmented TransR Model.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Learning Sparse Overcomplete Word Vectors Without Intermediate Dense Representations.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Transforming Timing Requirements into CCSL Constraints to Verify Cyber-Physical Systems.
Proceedings of the Formal Methods and Software Engineering, 2017

A Reinforcement Learning-Based Framework for the Generation and Evolution of Adaptation Rules.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Eliciting Activity Requirements from Crowd Using Genetic Algorithm.
Proceedings of the Requirements Engineering for Internet of Things, 2017

2016
Capturing Requirements from Expected Interactions Between Software and Its Interactive Environment: An Ontology Based Approach.
Int. J. Softw. Eng. Knowl. Eng., 2016

Lightweight semantic service modelling for IoT: an environment-based approach.
Int. J. Embed. Syst., 2016

Petri net based test case generation for evolved specification.
Sci. China Inf. Sci., 2016

Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference.
Proceedings of the Knowledge Science, Engineering and Management, 2016

Learning Embeddings of API Tokens to Facilitate Deep Learning Based Program Processing.
Proceedings of the Knowledge Science, Engineering and Management, 2016

How Transferable are Neural Networks in NLP Applications?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Improved relation classification by deep recurrent neural networks with data augmentation.
Proceedings of the COLING 2016, 2016

Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation.
Proceedings of the COLING 2016, 2016

Distilling Word Embeddings: An Encoding Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Integrating Goal Model into Rule-Based Adaptation.
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

Natural Language Inference by Tree-Based Convolution and Heuristic Matching.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Compressing Neural Language Models by Sparse Word Representations.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Convolutional Neural Networks over Tree Structures for Programming Language Processing.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Stigmergy-Based Construction of Internetware Artifacts.
IEEE Softw., 2015

互联网环境中基于环境激发效应的协同式概念建模 (Stigmergy-based Collaborative Conceptual Modeling in Web Environment).
计算机科学, 2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path.
CoRR, 2015

Backbone Language Modeling for Constrained Natural Language Generation.
CoRR, 2015

Tree-based Convolution: A New Neural Architecture for Sentence Modeling.
CoRR, 2015

On End-to-End Program Generation from User Intention by Deep Neural Networks.
CoRR, 2015

Recognizing Entailment and Contradiction by Tree-based Convolution.
CoRR, 2015

Distilling Word Embeddings: An Encoding Approach.
CoRR, 2015

Goal model driven alternative selection: a quantitative approach.
Proceedings of the 2015 IEEE International Model-Driven Requirements Engineering Workshop, 2015

Building Program Vector Representations for Deep Learning.
Proceedings of the Knowledge Science, Engineering and Management, 2015

A Feature-Driven Approach to Automated Class Diagram Construction.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

DelayDroid: Reducing Tail-Time Energy by Refactoring Android Apps.
Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Comparative Study on Regularization Strategies for Embedding-based Neural Networks.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Discriminative Neural Sentence Modeling by Tree-Based Convolution.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Guest Editors' Introduction.
Int. J. Softw. Eng. Knowl. Eng., 2014

Building Program Vector Representations for Deep Learning.
CoRR, 2014

TBCNN: A Tree-Based Convolutional Neural Network for Programming Language Processing.
CoRR, 2014

Implementation decision making for internetware driven by quality requirements.
Sci. China Inf. Sci., 2014

Eliciting dependability requirements: a control cases based approach.
Sci. China Inf. Sci., 2014

TDL: a transformation description language from feature model to use case for automated use case derivation.
Proceedings of the 18th International Software Product Line Conference, 2014

A Systematic Literature Review of Requirements Modeling and Analysis for Self-adaptive Systems.
Proceedings of the Requirements Engineering: Foundation for Software Quality, 2014

Verification Based on Hyponymy Hierarchical Characteristics for Web-Based Hyponymy Discovery.
Proceedings of the Knowledge Science, Engineering and Management, 2014

User preference based autonomic generation of self-adaptive rules.
Proceedings of the 6th Asia-Pacific Symposium on Internetware, 2014

2013
Measuring the significance of inconsistency in the Viewpoints framework.
Sci. Comput. Program., 2013

From inconsistency handling to non-canonical requirements management: A logical perspective.
Int. J. Approx. Reason., 2013

Feature-oriented stigmergy-based collaborative requirements modeling: an exploratory approach for requirements elicitation and evolution based on web-enabled collective intelligence.
Sci. China Inf. Sci., 2013

A Knowware Based Infrastructure for Rule Based Control Systems in Smart Spaces.
Proceedings of the Safe and Secure Software Reuse, 2013

MCT: a tool for commenting programs by multimedia comments.
Proceedings of the 35th International Conference on Software Engineering, 2013

Finding Optimal Solution for Satisficing Non-functional Requirements via 0-1 Programming.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Domain Hyponymy Hierarchy Discovery by Iterative Web Searching and Inferable Semantics Based Concept Selecting.
Proceedings of the 37th Annual IEEE Computer Software and Applications Conference, 2013

Analyzing Early Requirements of Cyber-physical Systems through Structure and Goal Modeling.
Proceedings of the 20th Asia-Pacific Software Engineering Conference, 2013

2012
Measuring the blame of each formula for inconsistent prioritized knowledge bases.
J. Log. Comput., 2012

A Blame-Based Approach to Generating Proposals for Handling Inconsistency in Software Requirements.
Int. J. Knowl. Syst. Sci., 2012

CoFM: An environment for collaborative feature modeling.
Proceedings of the 2012 20th IEEE International Requirements Engineering Conference (RE), 2012

Mining binary constraints in the construction of feature models.
Proceedings of the 2012 20th IEEE International Requirements Engineering Conference (RE), 2012

An approach for selecting implementation strategies of non-functional requirements.
Proceedings of the Fourth Asia-Pacific Symposium on Internetware, 2012

Modeling and Analyzing the Reliability and Cost of Service Composition in the IoT: A Probabilistic Approach.
Proceedings of the 2012 IEEE 19th International Conference on Web Services, 2012

Automated Reasoning with Goal Tree Models for Software Quality Requirements.
Proceedings of the 36th Annual IEEE Computer Software and Applications Conference Workshops, 2012

Discovering Domain Concepts and Hyponymy Relations by Text Relevance Classifying Based Iterative Web Searching.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

A Problem Oriented Approach to Modeling Feedback Loops for Self-Adaptive Software Systems.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2011
Missing Value Estimation for Mixed-Attribute Data Sets.
IEEE Trans. Knowl. Data Eng., 2011

A general framework for measuring inconsistency through minimal inconsistent sets.
Knowl. Inf. Syst., 2011

Missing data imputation by utilizing information within incomplete instances.
J. Syst. Softw., 2011

Managing Software Requirements Changes Based on Negotiation-Style Revision.
J. Comput. Sci. Technol., 2011

A Syntax-based approach to measuring the degree of inconsistency for belief bases.
Int. J. Approx. Reason., 2011

An Automatic Reasoning Mechanism for NFR Goal Models.
Proceedings of the 5th IEEE International Symposium on Theoretical Aspects of Software Engineering, 2011

A process algebra for environment-based specification of web services.
Proceedings of the IEEE 6th International Symposium on Service Oriented System Engineering, 2011

An Ontology based Method for Building Understandable Hierarchical Classification Structure for Software Assets Browsing.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

rΣ: Automated reasoning tool for non-functional requirement goal models.
Proceedings of the RE 2011, 19th IEEE International Requirements Engineering Conference, Trento, Italy, August 29 2011, 2011

An Approach to Generating Proposals for Handling Inconsistent Software Requirements.
Proceedings of the Knowledge Science, Engineering and Management, 2011

An Engineerable Ontology Based Approach for Requirements Elicitation in Process Centered Problem Domain.
Proceedings of the Knowledge Science, Engineering and Management, 2011

Agent-Oriented Requirements Analysis from Scenarios.
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2011

Towards a More Fundamental Explanation of Constraints in Feature Models: A Requirement-Oriented Approach.
Proceedings of the Top Productivity through Software Reuse, 2011

Modeling Timing Requirements in Problem Frames Using CCSL.
Proceedings of the 18th Asia Pacific Software Engineering Conference, 2011

2010
Specifying and Composing Web Services with an Environment Ontology-Based Approach.
Int. J. Web Serv. Res., 2010

Summary queries for frequent itemsets mining.
J. Syst. Softw., 2010

Handling over-fitting in test cost-sensitive decision tree learning by feature selection, smoothing and pruning.
J. Syst. Softw., 2010

Elicitation of Dependability Requirements: A HAZOP-based Approach.
Proceedings of the RE 2010, 18th IEEE International Requirements Engineering Conference, Sydney, New South Wales, Australia, September 27, 2010

Dptool: A Tool for Supporting the Problem Description and Projection.
Proceedings of the RE 2010, 18th IEEE International Requirements Engineering Conference, Sydney, New South Wales, Australia, September 27, 2010

Knowledge Merging under Multiple Attributes.
Proceedings of the Knowledge Science, 2010

iMashup: assisting end-user programming for the service-oriented web.
Proceedings of the ASE 2010, 2010

CoFM: a web-based collaborative feature modeling system for internetware requirements' gathering and continual evolution.
Proceedings of the Second Asia-Pacific Symposium on Internetware, 2010

A problem-driven collaborative approach to eliciting requirements of internetwares.
Proceedings of the Second Asia-Pacific Symposium on Internetware, 2010

A Framework for the Elicitation and Analysis of Information Technology Service Requirements and Their Alignment with Enterprise Business Goals.
Proceedings of the Workshop Proceedings of the 34th Annual IEEE International Computer Software and Applications Conference, 2010

A Formalism for Extending the NFR Framework to Support the Composition of the Goal Trees.
Proceedings of the 17th Asia Pacific Software Engineering Conference, 2010

2009
Missing Data Analysis: A Kernel-Based Multi-Imputation Approach.
Trans. Comput. Sci., 2009

Handling Inconsistency In Distributed Software Requirements Specifications Based On Prioritized Merging.
Fundam. Informaticae, 2009

A decremental algorithm of frequent itemset maintenance for mining updated databases.
Expert Syst. Appl., 2009

Mining globally interesting patterns from multiple databases using kernel estimation.
Expert Syst. Appl., 2009

Mining class-bridge rules based on rough sets.
Expert Syst. Appl., 2009

Strategies for complex data cube queries.
Appl. Intell., 2009

A Use Case Based Approach to Feature Models' Construction.
Proceedings of the RE 2009, 17th IEEE International Requirements Engineering Conference, Atlanta, Georgia, USA, August 31, 2009

AVT Vector: A Quantitative Security Requirements Evaluation Approach Based on Assets, Vulnerabilities and Trustworthiness of Environment.
Proceedings of the RE 2009, 17th IEEE International Requirements Engineering Conference, Atlanta, Georgia, USA, August 31, 2009

Elicit the Requirements on Software Dependability: A Knowledge-Based Approach.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

Performing Projection in Problem Frames Using Scenarios.
Proceedings of the 16th Asia-Pacific Software Engineering Conference, 2009

2008
Building toward Capability Specifications of Web Services Based on an Environment Ontology.
IEEE Trans. Knowl. Data Eng., 2008

A Priority-Based Negotiations Approach for Handling Inconsistencies in Multi-Perspective Software Requirements.
J. Syst. Sci. Complex., 2008

Towards a service requirements modelling ontology based on agent knowledge and intentions.
Int. J. Agent Oriented Softw. Eng., 2008

Balancing Academic and Industrial Needs in RE Courses.
Proceedings of the Third International Workshop on Requirements Engineering Education and Training, 2008

NIIA: Nonparametric Iterative Imputation Algorithm.
Proceedings of the PRICAI 2008: Trends in Artificial Intelligence, 2008

A Scenario-Based Problem Decomposition.
Proceedings of the 9th International Conference for Young Computer Scientists, 2008

A BDD-Based Approach to Verifying Clone-Enabled Feature Models' Constraints and Customization.
Proceedings of the High Confidence Software Reuse in Large Systems, 2008

A Measurement-Driven Process Model for Managing Inconsistent Software Requirements.
Proceedings of the 15th Asia-Pacific Software Engineering Conference (APSEC 2008), 2008

2007
A Merging-Based Approach to Handling Inconsistency in Locally Prioritized Software Requirements.
Proceedings of the Knowledge Science, 2007

An Ontology of Problem Frames for Guiding Problem Frame Specification.
Proceedings of the Knowledge Science, 2007

Towards Controllable Requirements Engineering Processes based on Cybernetics.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

2006
Integrating Goals and Problem Frames in Requirements Analysis.
Proceedings of the 14th IEEE International Conference on Requirements Engineering (RE 2006), 2006

Towards A Service Requirements Ontology on Knowledge and Intention.
Proceedings of the Sixth International Conference on Quality Software (QSIC 2006), 2006

On Constructing Environment Ontology for Semantic Web Services.
Proceedings of the Knowledge Science, 2006

An Approach for Specifying Capability ofWeb Services based on Environment Ontology.
Proceedings of the 2006 IEEE International Conference on Web Services (ICWS 2006), 2006

Towards automatic problem decomposition: an ontology-based approach.
Proceedings of the 2006 International Workshop on Advances and Applications of Problem Frames, 2006

Environment Ontology-Based Capability Specification for Web Service Discovery.
Proceedings of the Formal Methods and Software Engineering, 2006

Web Service Retrieval: An Approach Based on Context Ontology.
Proceedings of the 30th Annual International Computer Software and Applications Conference, 2006

2005
Measuring Inconsistency in Requirements Specifications.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2005

2003
Automated Requirements Elicitation: Combining a Model-Driven Approach with Concept Reuse.
Int. J. Softw. Eng. Knowl. Eng., 2003

An experiment for showing some kind of artificial understanding.
Expert Syst. J. Knowl. Eng., 2003

Automatically multi-paradigm requirements modeling and analyzing: An ontology-based approach.
Sci. China Ser. F Inf. Sci., 2003

Involving End Users in Requirements Elicitation and Goal-Oriented Analysis.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003

1998
OSNET - A Language for Domain Modeling.
Proceedings of the TOOLS 1998: 27th International Conference on Technology of Object-Oriented Languages and Systems, 1998


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