Shuo Liu

According to our database, Shuo Liu authored at least 22 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

R²ComSync: improving code-comment synchronization with in-context learning and reranking.

Zhen Yang, Hongyi Lin, Xiao Yu, Jacky Wai Keung, Shuo Liu, Pak Yuen Patrick Chan, Yicheng Sun, Fengji Zhang

Empir. Softw. Eng., July, 2026

Improving anomaly detection in software logs through hybrid language modeling and reduced reliance on parser.

Yicheng Sun, Jacky Keung, Zhen Yang, Shuo Liu, Hi Kuen Yu

Autom. Softw. Eng., June, 2026

An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond.

Shuo Liu, Jacky Keung, Zhi Jin, Zhen Yang, Fang Liu, Hao Zhang

IEEE Trans. Software Eng., January, 2026

2025

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

Zhenyu Mao, Jacky Keung, Yicheng Sun, Yifei Wang, Shuo Liu, Jialong Li

CoRR, November, 2025

R2ComSync: Improving Code-Comment Synchronization with In-Context Learning and Reranking.

Zhen Yang, Hongyi Lin, Xiao Yu, Jacky Wai Keung, Shuo Liu, Pak Yuen Patrick Chan, Yicheng Sun, Fengji Zhang

CoRR, October, 2025

Rethinking the effects of data contamination in Code Intelligence.

Zhen Yang, Hongyi Lin, Yifan He, Jie Xu, Zeyu Sun, Shuo Liu, Pengpeng Wang, Zhongxing Yu, Qingyuan Liang

CoRR, June, 2025

SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection.

Yicheng Sun, Jacky Wai Keung, Zhen Yang, Shuo Liu, Hi Kuen Yu

Inf. Softw. Technol., 2025

SemiSMAC: A semi-supervised framework for log anomaly detection with automated hyperparameter tuning.

Yicheng Sun, Jacky Wai Keung, Zhen Yang, Shuo Liu, Yihan Liao

Inf. Softw. Technol., 2025

Exploring continual learning in code intelligence with domain-wise distilled prompts.

Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Fengji Zhang, Yicheng Sun

Inf. Softw. Technol., 2025

A Novel Semi-Supervised Model for Generalizing Log Anomaly Detection with Limited Labeled Data.

Yicheng Sun, Jacky Keung, Zhen Yang, Shuo Liu, Wing Kwong Chan

Proceedings of the 25th International Conference on Software Quality, 2025

Can Mamba Be Better? An Experimental Evaluation of Mamba in Code Intelligence.

Shuo Liu, Jacky Keung, Zhen Yang, Zhenyu Mao, Yicheng Sun

Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Beyond Log Parsers: A Scalable AI-Driven Framework for Efficient Log Anomaly Detection in Software Engineering.

Yicheng Sun, Jacky Keung, Hi Kuen Yu, Shuo Liu, Yihan Liao, Jingyu Zhang

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach.

Zhenyu Mao, Jacky Keung, Fengji Zhang, Shuo Liu, Yifei Wang, Jialong Li

Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024

SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration.

Yishu Li, Jacky Keung, Zhen Yang, Xiaoxue Ma, Jingyu Zhang, Shuo Liu

Autom. Softw. Eng., November, 2024

Improving domain-specific neural code generation with few-shot meta-learning.

Zhen Yang, Jacky Wai Keung, Zeyu Sun, Yunfei Zhao, Ge Li, Zhi Jin, Shuo Liu, Yishu Li

Inf. Softw. Technol., February, 2024

TerGEC: A graph enhanced contrastive approach for program termination analysis.

Shuo Liu, Jacky Wai Keung, Zhen Yang, Yihan Liao, Yishu Li

Sci. Comput. Program., 2024

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation.

Zhen Yang, Fang Liu, Zhongxing Yu, Jacky Wai Keung, Jia Li, Shuo Liu, Yifan Hong, Xiaoxue Ma, Zhi Jin, Ge Li

Proc. ACM Softw. Eng., 2024

Co-clustering for Federated Recommender System.

Xinrui He, Shuo Liu, Jackey Keung, Jingrui He

CoRR, 2024

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

Pengyu Xue, Linhao Wu, Zhen Yang, Zhongxing Yu, Zhi Jin, Ge Li, Yan Xiao, Shuo Liu, Xinyi Li, Hongyi Lin, Jingwen Wu

CoRR, 2024

Co-clustering for Federated Recommender System.

Xinrui He, Shuo Liu, Jacky Keung, Jingrui He

Proceedings of the ACM on Web Conference 2024, 2024

Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study.

Shuo Liu, Jacky Keung, Zhen Yang, Fang Liu, Qilin Zhou, Yihan Liao

Proceedings of the IEEE International Conference on Software Analysis, 2024

Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis.

Yicheng Sun, Jacky Keung, Jingyu Zhang, Hi Kuen Yu, Wenqiang Luo, Shuo Liu

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024