I am currently a fifth-year Ph.D student with the Advanced Computing and System Laboratory (CCNT), College of Compter 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.

Office: Room 422, CaoGuangbiao Main Building, Yuquan Campus,
             Zhejiang University, Hangzhou, 310027, China
Email: wanyao@zju.edu.cn
Cell: (86)187-5800-9846

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 Scholar. 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 Scholar. Advanced Analytics Institute, University of Technology Sydney, Australia (Jul. 2016 - Jan. 2017). Under the supervision of Prof. Guandong Xu
  • Visting Scholar. Shenzhen Research Institute, Chinese University of Hong Kong, China (Feb. 2014 - Sep. 2014). Under the supervision of Prof. Zibin Zheng

Latest publications

  • [ICDM 2019] Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, and Philip S. Yu, "Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking", the 19th International Conference on Data Mining, November 8–11, 2019, Beijing, China. [CCF B, short paper, accepted rate=194/1046=18.5%][paper]
  • [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=x/xx=xx%][paper]
  • [KBS 2019] Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu "Multi-View Factorization Machines for Mobile App Recommendation based on Hierarchical Attention", Knowledge-Based Systems , 2019. [CCF C, SCI Impact Factor=5.101] [paper]
  • [NAACL-HLT 2019] Jian-Guo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu "Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce", The 17th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, June 2-7, 2019, Minneapolis, USA. [CCF C][paper] (Oral)
  • [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]

Previous publications

  • [Neurocomputing] Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu, "Exploiting Cross-source Knowledge for Warming up Community Question Answering Services", Neurocomputing, accepted (to appear), 2018. [CCF C, SCI Impact Factor=3.241][paper]
  • [WWWJ 2018] Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu, "SCSMiner: Mining Social Coding Sites for Software Developer Recommendation with Relevance Propagation", World Wide Web Journal, accepted (to appear), 2018. [CCF B, SCI Impact Factor=1.405][paper]
  • [NeurIPS 2018-Workshop] Jian-Guo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu "Product Title Refinement via Multi-Modal Generative Adversarial Learning", NeurIPS Workshop on Visually Grounded Interaction and Language, December 7th, 2018, Montreal, Canada. [paper]
  • [BigData 2018] Yao Wan*, Wenqiang Yan*, Jianwei Gao, Zhou Zhao, Jian Wu, and Philip S. Yu, "Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training", 2018 IEEE International Conference on BigData, December 10–13, 2018, Seattle, WA, USA. [CCF C, accepted rate=98/518=18.9%][paper]
  • [PAKDD 2017] Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, and Jian Wu, "Exploiting Geographical Location for Team Formation in Social Coding Sites", The 21th Pacific Asia Conference on Knowledge Discovery and Data Mining, 2017, Jeju, South Korea, May 23-26, accepted. [CCF C, accepted rate=45/458=9.8%][paper]
  • [PAKDD 2016] Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu , "Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization", The 20th Pacific Asia Conference on Knowledge Discovery and Data Mining, Auckland, New Zealand, April 19-22, 2016, accepted. [CCF C, accepted rate=17.3%][paper][slides]
  • [ICWS 2015] Yao Wan, Liang Chen, Jian Wu, Qi Yu, "Time-aware API Popularity Prediction via Heterogeneous Features", The 22nd International Conference on Web Services, Application Track, New York, USA, June 27 - July 2, 2015, accpted.
    [accepted rate = 21.9%][paper][slides]

Service

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