Yao Wan 萬瑤
May 29, 2020 Our paper titled "FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks" is accepted by Transaction on Reliability.- March 3, 2020 Our paper titled "Reinforcement-Learning-Guided Source Code Summarization via Hierarchical Attention" is accepted by IEEE Transaction on Software Engineering.
About Me
I am currently a final-year Ph.D student with the Advanced Computing and System Laboratory (CCNT), College of Compter Science & Technology at Zhejiang University, Hangzhou, China. My supervisors are Prof. Jian Wu and Prof. Zhou Zhao. My current research interests are mainly focusing on natural language processing and programming language analysis with some advanced techniques such as deep reinforcement learning and generative adversarial learning.
Experiences
- Visting Student. Big Data and Social Computing Lab, University of Illinois at Chicago, USA (Jan. 2018 - Jan. 2019). Under the supervision of Prof. Philip S. Yu
- Visting Student. Advanced Analytics Institute, University of Technology Sydney, Australia (Jul. 2016 - Jan. 2017). Under the supervision of Prof. Guandong Xu
- Visting Student. Shenzhen Research Institute, Chinese University of Hong Kong, China (Feb. 2014 - Sep. 2014). Under the supervision of Prof. Zibin Zheng
Research Highlights
Naturalcode is a sequence modeling toolkit that allows researchers and developers to train custom models for many software engineering tasks, e.g., code summarization, code generation, code retrieval, code clone detection, and so on. Our vision is to bridge the gap between programming language and natural language through some machine learning techniques. [ASE'18, ASE'19]
SCSMiner is a mining system on social coding sites (e.g., GitHub), which integrates social networking and distributed version control in a unified platform to facilitate collaborative developments over the world. It can be applied to software developer recruitment for IT corporations.[WWWJ'18, Neurocomputing'18]
Selected Publications
ASE 2019. The 34th ACM/IEEE International Conference on Automated Software Engineering, November 11–15, 2019, San Diego, United States. ACM, New York, NY, USA.
PDF Code CCF-A
ASE 2018. The 33rd ACM/IEEE International Conference on Automated Software Engineering, September 3–7, 2018, Montpellier, France.
PDF Code CCF-A
Organizing Committee