Shaojie Jiang 江少杰 ☕️

Shaojie Jiang 江少杰

Machine Learning Scientist

Huawei R&D Amsterdam

I am a Machine Learning Scientist at Huawei R&D Center Amsterdam. My work involves chatbots, information retrieval and conversational QA systems. In parallel, I am completing my PhD at the University of Amsterdam, under the supervision of Prof. Maarten de Rijke. In the past, I did two internships at and, respectively.

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Machine Learning Scientist
July 2022 – Present Amsterdam, the Netherlands

Responsibilities include:

  • Lead of ChatEval challenge project at DSTC 11
  • Contact person of the Conversational AI project
  • Contact person of DReaMS Lab work package 3
Research Intern
February 2021 – July 2021 Amsterdam, the Netherlands
This was a remote internship due to COVID-19. During this period, I worked on improving the engagingness of the Replika chatbot. It was a great experience to get my hands on a chatbot system that have real users (as opposed to a common lab environment of my daily research).
Applied Science Intern
July 2020 – September 2020 Amsterdam, the Netherlands
This was a remote internship as my travel to the originally agreed location Berlin was interrupted by COVID-19 pandemic. During this period, I worked on a review summarisation task with the Subjective NLP team (based in Barcelona and Berlin).
Poster presentation at TheWebConf
May 2019 – May 2019 San Francisco, California
  • Presented my poster for our paper accepted at TheWebConf ‘19
  • Thanks to all the coauthors
  • Superb coastal views
  • The Golden Gate Bridge is glorious
Poster presentation at SCAI Workshop
October 2018 – November 2018 Brussels, Belgium
  • Presented my poster for our paper accepted at SCAI Workshop
  • Awarded student travel grant (€400)
  • A nice city with Dutch-style and French-style (and more) architectures merged together
NLP Summit
June 2019 – June 2019 Zurich, Switzerland
  • Thanks to Google for paying everything
  • Great opportunity to communicate with peers and Googlers
  • Presented my WWW ‘19 poster
  • Nice crystal clear water everywhere!
PhD student
University of Amsterdam
October 2017 – Present Amsterdam, The Netherlands
Master of Engineering
Northwest A&F University
September 2014 – June 2017 Yangling, China
  • Thesis title: Research on Feature Representation and Optimization Methods in Structured Object Tracking
  • Supervisor: Jifeng Ning
Bachelor of Engineering
Northwest A&F University
September 2010 – June 2014 Yangling, China
  • Thesis title: Implementation of Single Image Haze Removal Using Dark Channel Prior
  • Advisors: Dr. Yaojun Geng and Prof. Jifeng Ning

Recent Posts

Recent Publications

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(2023). Weakly Supervised Turn-level Engagingness Evaluator for Dialogues. Proceedings of the 2023 Conference on Human Information Interaction and Retrieval.

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(2022). A Simple Contrastive Learning Objective for Alleviating Neural Text Degeneration. arXiv preprint arXiv:2205.02517.

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(2020). TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. arXiv preprint arXiv:2003.11963.

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(2019). Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. The World Wide Web Conference.

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(2018). Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots. Proceedings of the 2018 EMNLP Workshop SCAI: The 2nd International Workshop on Search-Oriented Conversational AI.

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