Curriculum Vitae

CV

Education

• B.S. in Computer Science, Chongqing University, 2013-2017
• Ph.D in Computer Science, Peking University, 2017-2022 (expected)

Skills

• Skilled at Python, Tensorflow, Pytorch, LaTex
• Familiar with C/C++/C#, Java, TypeScript, data structures and algorithm
• Fluent in English

Publications

Program Generation and Code Completion Techniques Based on Deep Learning: Literature Review

Hu, X. (2019). "Program Generation and Code Completion Techniques Based on Deep Learning: Literature Review." journal of Software (Chinese). 2019.

Program Comprehension Based on Deep Learning

Liu, F. (2019). "Program Comprehension Based on Deep Learning." Journal of Computer Research and Development (Chinese). 2019.

Program Comprehension: Present and Future

Jin, Z. (2019). "Program Comprehension: Present and Futuret; Journal of Software (Chinese). 2019.

Modeling Programs Hierarchically with Stack-augmented LSTM

Liu, F. (2020). "Modeling Programs Hierarchically with Stack-augmented LSTM." Journal of Systems and Software. 2020).

Multi-task Learning based Pre-trained Language Model for Code Completion

Liu, F. (2020). "Multi-task learning based pre-trained language model for code completion." International Conference on Automated Software Engineering. 2020.

A Self-Attentional Neural Architecture for Code Completion

Liu, F. (2020). "A Self-Attentional Neural Architecture for Code Completion." International Conference on Program Comprehension. 2020.

Learning to Recommend Method Names with Global Context

Liu, F. (2022). "Learning to Recommend Method Names with Global Context." International Conference on Software Engineering. 2022.

Teaching and Service

• Teaching assistant
  • Technique and Application of Deep Learning, Peking University.
• Co-reviewer of conferences and journals
  • Conferences: ICSE 2022, AAAI 2022, ICSE 2021, FSE 2020, SANER 2020, KSEM 2018
  • Journals: EMSE 2020, SCIS 2019, ACM Computing Surveys 2019, JSS 2018