Yicheng Sun

Orcid: 0000-0001-8722-8830

According to our database1, Yicheng Sun authored at least 34 papers between 2017 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
R<sup>2</sup>ComSync: improving code-comment synchronization with in-context learning and reranking.
Empir. Softw. Eng., July, 2026

Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser.
Autom. Softw. Eng., June, 2026

Streamlining digital twin development and operation with DTOps.
J. Intell. Manuf., April, 2026

Shopfloor layout generation method based on large language models.
Int. J. Comput. Integr. Manuf., February, 2026

LogMeta: A few-shot model-agnostic meta-learning framework for robust and adaptive log anomaly detection.
J. Syst. Softw., 2026

Exploring AI-driven learning assistance in Chinese higher education: A multidisciplinary and regional analysis of professional coursework.
Internet High. Educ., 2026

Trusting AI to detect AI? A systematic evaluation of the reliability and robustness of current AIGC detection tools for student academic work.
Comput. Educ., 2026

2025
Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements.
CoRR, November, 2025

Boon or Bane? Evaluating AI-driven learning assistance in higher education professional coursework.
Educ. Inf. Technol., October, 2025

R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking.
CoRR, October, 2025

Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework.
CoRR, June, 2025

A Generative Modeling Method for Digital Twin Shop Floor.
IEEE Internet Comput., 2025

SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection.
Inf. Softw. Technol., 2025

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning.
Inf. Softw. Technol., 2025

Exploring continual learning in code intelligence with domain-wise distilled prompts.
Inf. Softw. Technol., 2025

LLM-TSFD: An industrial time series human-in-the-loop fault diagnosis method based on a large language model.
Expert Syst. Appl., 2025

A Novel Semi-Supervised Model for Generalizing Log Anomaly Detection with Limited Labeled Data.
Proceedings of the 25th International Conference on Software Quality, 2025

Can Mamba Be Better? An Experimental Evaluation of Mamba in Code Intelligence.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

StuLAC: An Adaptive LLM-Driven Framework for Scalable Student Feedback Analysis in Software-Driven Educational Systems.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Beyond Log Parsers: A Scalable AI-Driven Framework for Efficient Log Anomaly Detection in Software Engineering.
Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Towards Lightweight LLM Software Solutions for InsurTech: A Framework for Scalable Question Answering Systems.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

Understanding Industrial Log Analysis: A Multi-Dataset Evaluation of Parsing and Anomaly Detection.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

Exposing and Defending Membership Leakage in Vulnerability Prediction Models.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

PerProb: Indirectly Evaluating Memorization in Large Language Models.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems.
Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023
Resilient digital twin modeling: A transferable approach.
Adv. Eng. Informatics, October, 2023

A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools.
Robotics Comput. Integr. Manuf., 2023

Constructing Cloze Questions Generatively.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Multiple-choice Question Generation for the Chinese Language.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Downstream transformer generation of question-answer pairs with preprocessing and postprocessing pipelines.
Proceedings of the 22nd ACM Symposium on Document Engineering, 2022

2020
Generating Adequate Distractors for Multiple-Choice Questions.
Proceedings of the 12th International Joint Conference on Knowledge Discovery, 2020

2018
Identification of Landscape Preferences by Using Social Media Analysis.
Proceedings of the 2018 International Workshop on Social Sensing, 2018

2017
ClaimVerif: A Real-time Claim Verification System Using the Web and Fact Databases.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


  Loading...