People › Zhenyu Mao
About
Zhenyu Mao is a PhD Student in the Department of Computer Science, City University of Hong Kong.
Research Interests
Publications (13)
- Understanding How Enterprises Adopt the Model Context Protocol for LLM-Driven Software Engineering.
- R2Code: A Self-Reflective LLM Framework for Requirements-to-Code Traceability.
- Making Sense of Scams: Understanding Scam Conversations Through Multi-Level Alignment.
- Industrial log analysis revisited: A task-oriented evaluation of parsing and anomaly detection under real-world constraints.
- HGARena: Budgeted Test-Driven Multi-Agent Repository Issue Resolution with Heterogeneous Graph-Augmented Retrieval.
- Designing Psychologically Safe AI Tutors for Students: An Emotion-Aware Post-Hoc Intervention for LLM-Assisted Learning.
- Towards Requirements Engineering for GenAI-Enabled Software: Bridging Responsibility Gaps through Human Oversight Requirements.
- Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach.
- Multi-Strategy Enhanced COA for Path Planning in Autonomous Navigation.
- Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs.
- FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection.
- Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing.
- Can Mamba Be Better? An Experimental Evaluation of Mamba in Code Intelligence.