杨昕立，中共党员，副高，博士，（硕士生导师），研究方向软件工程，机器学习。

1.主讲课程：python程序设计

2.主要研究项目：

1. 基于深度学习的相似代码检测技术研究及应用，浙江省科技厅省自然科学基金，2021.1-2023.12，本人排名1

3.代表性论文、专利、论著等：

1) TLEL: A two-layer ensemble learning approach for just-in-time defect prediction. Information and software technology. 1/5. 2017. SCI

2) Characterizing malicious Android apps by mining topic-specific data flow signatures. 1/6. 2017. SCI

3) What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts. Journal of computer science and technology. 1/5. 2017. SCI

4) High-Impact Bug Report Identification with Imbalanced Learning Strategies. Journal of computer science and technology. 1/5. 2017. SCI

1. Combining Word Embedding with Information Retrieval to Recommend Similar Bug Reports. International Symposium on Software Reliability Engineering.1/5. 2016.

2. Condensing Class Diagrams With Minimal Manual Labeling Cost. IEEEInternational Computer Software and Applications Conference. 1/4. 2016.

3. Automated Identification of High Impact Bug Reports Leveraging Imbalanced Learning Strategies. IEEEInternational Computer Software and Applications Conference. 1/5. 2016

4. Deep Learning for Just-in-Time Defect Prediction. IEEE International Conference on Software Quality, Reliability and Security. 1/5. 2015

5. A Learning to Rank Approach for Pharmacist Assignment. The 13th International Conference on Computer Research and Development，通讯作者，2021