I am currently a sixth-year Ph.D student with the Advanced Computing and System Laboratory (CCNT), College of Computer Science & Technology at Zhejiang University, Hangzhou, China. My supervisor is Prof. Jian Wu and I am closely collaborating with Prof. Zhou Zhao. I obtained my B.Eng. degree in Software Engineering from Northeastern University, Shenyang, China. 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.

What's new

  • [08/09/2019] One paper coauthored with Prof. Wang has been accepted by the International Conference on Data Mining as short paper, congratulations to Prof. Wang!
  • [08/05/2019] One paper has been accepted by the 34th IEEE/ACM International Conference on Automated Software Engineering.
  • [02/23/2019] Our extended work of NeurIPS workshop has been successfully accepted by the NAACL-HLT 2019, congratulations to Jian-Guo!

Experience

  • 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

Selected publications (Full list)

  • [ASE 2019] Yao Wan*, Jingdong Shu*, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, and Philip S. Yu, "Multi-Modal Attention Network Learning for Semantic Source Code Retrieval", the 34th ACM/IEEE International Conference on Automated Software Engineering, November 11–15, 2019, San Diego, United States. ACM, New York, NY, USA. [CCF A, accepted rate=91/445=20.4%][paper][code]
  • [ASE 2018] Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, and Philip S. Yu, "Improving Automatic Source Code Summarization via Deep Reinforcement Learning", the 33rd ACM/IEEE International Conference on Automated Software Engineering, September 3–7, 2018, Montpellier, France. ACM, New York, NY, USA. [CCF A, accepted rate=69/346=19.9%][paper][code]

Service

  • [Journal Reviewer] World Wide Web Journal (WWWJ2016, WWWJ2017)