Zedong Peng

Orcid: 0000-0001-6001-1738

According to our database1, Zedong Peng authored at least 27 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
DiffHLS: Differential Learning for High-Level Synthesis QoR Prediction with GNNs and LLM Code Embeddings.
CoRR, April, 2026

Failure-Aware Enhancements for Large Language Model (LLM) Code Generation: An Empirical Study on Decision Framework.
CoRR, February, 2026

Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities.
CoRR, January, 2026

2025
ForgeHLS: A Large-Scale, Open-Source Dataset for High-Level Synthesis.
CoRR, July, 2025

DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis.
CoRR, February, 2025

The AI Imitation Game: A Cognitive Comparison of Mimicry in Large Language Models.
Proceedings of the 25th IEEE International Conference on Information Reuse and Integration and Data Science, 2025

HIPPO: A Hierarchy-Preserving and Noise-Tolerant Pre-HLS Power Modeling Framework for FPGA.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024
A Verifiable and Privacy-Preserving Federated Learning Training Framework.
IEEE Trans. Dependable Secur. Comput., 2024

MPAX: Mathematical Programming in JAX.
CoRR, 2024

Measure this, not that: Optimizing the cost and model-based information content of measurements.
Comput. Chem. Eng., 2024

Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
"What You See Is What You Test": Recommending Features from GUIs for Requirements-Based Testing.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

Resource-Centric Goal Model Slicing for Detecting Feature Interactions.
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023

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

Alternative regularizations for Outer-Approximation algorithms for convex MINLP.
J. Glob. Optim., 2022

Learning I/O Variables from Scientific Software's User Manuals.
Proceedings of the Computational Science - ICCS 2022, 2022

2021
Unit and regression tests of scientific software: A study on SWMM.
J. Comput. Sci., 2021

Discovering Metamorphic Relations for Scientific Software From User Forums.
Comput. Sci. Eng., 2021

Semantic Frames for Classifying Temporal Requirements: An Exploratory Study.
Proceedings of the Joint Proceedings of REFSQ 2021 Workshops, 2021

Towards Norm Classification: An Initial Analysis of HIPAA Breaches.
Proceedings of the 29th IEEE International Requirements Engineering Conference Workshops, 2021

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

Co-AI: A Colab-Based Tool for Abstraction Identification.
Proceedings of the 29th IEEE International Requirements Engineering Conference, 2021

Finding Metamorphic Relations for Scientific Software.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

I/O Associations in Scientific Software: A Study of SWMM.
Proceedings of the Computational Science - ICCS 2021, 2021

Contextual Understanding and Improvement of Metamorphic Testing in Scientific Software Development.
Proceedings of the ESEM '21: ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, 2021

2020
Correct Software by Design for Software-Defined Networking: A preliminary Study.
Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering, 2020

Unit Tests of Scientific Software: A Study on SWMM.
Proceedings of the Computational Science - ICCS 2020, 2020


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