My name is Zhiyu Chen (陈知雨). Now I am working as an applied scientist at Amazon in Seattle, US. My first name “Zhiyu” comes from an ancient Chinese poem (好雨知时节), which means good rain knows the best time to fall. I received my PhD from Lehigh University at 2022 with Prof. Brian D. Davison. My research interests include data mining, machine learning, natural language processing and information retrieval(word clouds generated from my reading list here).


  • Lehigh University, Bethlehem, PA, USA
    • Ph.D in Computer Science (2015-2022)
    • GPA: 3.97/4.0
  • Ecole Supérieure d’Ingénieurs Léonard de Vinci, Paris, France
    • Exchange Program (2014-2015)
    • GPA: 15.75/20
  • Nanjing University of Aeronautics and Astronautics, Nanjing, China
    • B.E. in Computer Science (2011-2015)
    • GPA: 4.2/5.0 (ranking: 1/94)

Past Experience

  • Amazon, Seattle, WA, US (remote)
    • Position: Applied Sciensist Intern (05/2021-09/2021)
    • Responsibility: Proposed a reinforcement learning method for conversational question answering (this work was accepted by EMNLP Industry Track 2022).
    • Mentors/Managers: Jie Zhao, Anjie Fang, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi
  • Zhuiyi Technology, Shenzhen, Guangdong, China
    • Position: Machine Learning Intern (05/2019-09/2019)
    • Responsibility: Solutions for tasks in SuperGLUE. (Our submission ranked 3rd at the time of submission, including the human baseline ranked 1st)
    • Manager: Yinan Xu
  • Bloomberg, Princeton, NJ, USA
    • Position: Data Science Intern (06/2016-08/2016)
    • Responsibility: Analysis of Bloomberg Data Licence usage patterns.
    • Manager: Michael Liebman


  • D. Luo, L. Zou, Q. Ai, Z. Chen, D. Yin, B.D. Davison Model-based Unbiased Learning to Rank. In Proceedings of The 16th Annual ACM International Conference on Web Search and Data Mining, (WSDM 2023)
  • M. Trabelsi*, Z. Chen*, B. D. Davison, and J. Heflin. Relational Graph Embeddings for Table Retrieval. In the Seventh International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2020), held with IEEE BigData 2020, December.
  • Z. Chen*, M. Trabelsi*, B. D. Davison, and J. Heflin. (2020) Towards Knowledge Acquisition of Metadata on AI Progress. In Proceedings of the ISWC 2020 Demos and Industry Tracks: From Novel Ideas to Industrial Practice, co-located with the 19th International Semantic Web Conference (ISWC 2020), November.
  • Z. Chen, H. Jia, J. Heflin and B. D. Davison. (2018) Generating Schema Labels through Dataset Content Analysis. In Companion Proceedings of the The Web Conference (WWW ’18), pages 1515-1522. Presented at the International Workshop on Profiling and Searching Data on the Web(Profiles & Data:Search’18, co-located with The Web Conference), Lyon, France, April. Best paper award.


  • Deep Text Matching and Applicationsslides
    • Presentation at Graduate Research Seminar Series (GRSS) of my Depth Study at the Lehigh University, Bethlehem, USA, May 2019.
  • Challenges and Progress in Dataset Searchslides, paper
    • Presentation at the Eighth BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2018), co-located with the 8th International Conference on the Theory of Information Retrieval (ICTIR 2018), Tianjin, China, September 2018.

Honors and Awards

  • 2021, ACM SIGIR Student Travel Grant
  • 2021, Rossin Professional Development Program Award at Lehigh University
  • 2020, ISWC Student Grant
  • 2020, ACM SIGIR Student Travel Grant
  • 2018, Best Paper Award of International Workshop on Profiles&Data:Search’18
  • 2018, ACM SIGIR Student Travel Grant
  • 2015, RCEAS Dean’s Fellowship
  • 2014, Chinese Government Scholarship from China Scholarship Council
  • 2013, First Prize, National Mathematical Contest in Modeling (Jiangsu Division)
  • 2012, Honorable Mention for Social Practice
  • 2012, Second Prize, 11-th Higher Mathematics Competition of Jiangsu Province
  • 2011-2014, Student Scholarship
  • 2011-2014, Merit Student


For more, check my instagram 🙂