Linyi Han’s Academic Homepage
- Name: Linyi Han
- Institution: Tianjin University
- College: The College of Intelligence and Computing
- Contact: hanly2 [ at ] tju [Dot] edu [Dot] cn
Academic Background
- Education: Ph.D. Candidate at Tianjin University (2021–2025)
- Research Focus: Software Engineering, with an emphasis on vulnerability analysis and management using machine learning and Large Language Models (LLMs).
Mentors
- Primary Supervisor: Xiaowang Zhang, at Tianjin University
- Co-Supervisors:
- Zhenchang Xing, at CSIRO’s Data61 and Australian National University
- Shidong Pan, at Columbia University and New York University
Research Areas & Focus
- Research Areas: Software Engineering, Vulnerability Management, Machine Learning
- Research Goal: To improve vulnerability identification and management in software development through machine learning and Large Language Models (LLM), focusing on vulnerability analysis and information management.
Publication
- Linyi Han, Shidong Pan, Zhenchang Xing, Jiamou Sun, Sofonias Yitagesu, Xiaowang Zhang, Zhiyong Feng (2024). Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference. IEEE Transactions on Software Engineering.
- Jinrui Zhang, Linyi Han, Xiaowang Zhang (2024). KFC-QR: A Knowledge Fusion Constraint Method Based on Query Retrieval for CPE prediction. ISWC (Posters/Demos/Industry).
- Sofonias Yitagesu, Zhenchang Xing, Xiaowang Zhang, Zhiyong Feng, Xiaohong Li, Linyi Han (2023). Extraction of Phrase-based Concepts in Vulnerability Descriptions through Unsupervised Labeling. ACM Transactions on Software Engineering and Methodology
- Shaojuan Wu, Yunjie Wu, Linyi Han, Ya Liu, Jiarui Zhang, Ziqiang Chen, Xiaowang Zhang, Zhiyong Feng (2022). Structure-sensitive semantic matching for aggregate question answering over knowledge base. Journal of Web Semantics
- Sofonias Yitagesu, Zhenchang Xing, Xiaowang Zhang, Zhiyong Feng, Xiaohong Li, Linyi Han (2021). Unsupervised Labeling and Extraction of Phrase-based Concepts in Vulnerability Descriptions. ASE