CV

Education

• Ph.D in Artificial Intelligence, Macau University of Science and Technology, 2024 (expected)
• M.S. in Computer Technology, Shantou University, 2021
• B.S. in Software Engineering, Qufu Normal University, 2018

Skills

• Python: Proficient in Python, adept at utilizing its libraries for effective software development and data analysis.
• Deep Learning Frameworks: Experienced with PyTorch, focusing on neural network model development and deployment.
• Large Language Models: Skilled in using open-source large language models such as Hugging Face’s Transformers and Llama for advanced natural language processing and AI-driven tasks.

Publications

Do pre-trained language models indeed understand software engineering tasks?

Yao Li, Tao Zhang, Xiapu Luo, Haipeng Cai, Sen Fang, and Dawei Yuan. 2023. Do Pretrained Language Models Indeed Understand Software Engineering Tasks? IEEE Trans. Softw. Eng. 49, 10 (Oct. 2023), 4639–4655.

Meta-Learning for Multi-Family Android Malware Classification

Yao Li, Dawei Yuan, Tao Zhang, Haipeng Cai, David Lo, Cuiyun Gao, Xiapu Luo, and He Jiang. 2024. Meta-Learning for Multi-Family Android Malware Classification. ACM Trans. Softw. Eng. Methodol. 33, 7, Article 174 (September 2024), 27 pages.

StructureTester: Automatic Machine Translation Testing Based on Variation Feature Vector

W. Luo, Y. Luo, Y. Li and T. Zhang, "StructureTester: Automatic Machine Translation Testing Based on Variation Feature Vector," 2023 IEEE 23rd International Conference on Software Quality, Reliability, and Security (QRS), Chiang Mai, Thailand, 2023, pp. 301-312,

JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters

Cai, Lingru & Li, Yao & Xiong, Zhi. (2021). JOWMDroid: Android malware detection based on feature weighting with joint optimization of weight-mapping and classifier parameters. Computers & Security.