Pengjie Ren

I'm a postdoc researcher at the Information and Language Processing Systems (ILPS) at the University of Amsterdam. I work on text summarization, dialogue systems and recommender systems with some excellent researchers and students.

News & Activities

  • Two papers are accepted by ECAI 2020.
  • Give a talk at Shandong University "Towards conversations based on search engine result pages".
  • Two papers are accepted by AAAI 2020.
  • CFP: The WSDM 2020 Workshop on Natural Language Processing for Recommendations (NLP4REC)
  • A full paper is accepted by CIKM 2019.
  • Presented our work "π-Net: A Parallel Information-sharing Network for Cross-domain Shared-account Sequential Recommendations" at SIGIR.
  • Three full papers are accepted by SIGIR 2019.
  • The code of FACE from the paper "Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss" is available in ParlAI.
  • A full paper and a short paper are accepted by The Web Conference 2019.
  • A full paper is accepted by AAAI 2019.
  • A full paper is accepted by TKDE 2019.
  • I am organizing the Search Engines Amsterdam (SEA) talk for 2019. Contact me if you want to give a talk.



  • ECIR 2020
  • The Web Conference 2020
  • WSDM 2020
  • AAAI 2020
  • CCIR 2019
  • SIGIR 2019
  • TOIS
  • TKDE
  • TKDD
  • IPM


  • MSc, Information Retrieval 2. 2019/2020. TA.
  • Chang Tian. MSc Thesis.
  • MSc, Information Retrieval 2. 2018/2019. TA.
  • Michael Schniepp: Automatically Assessing the Need for Revision of Academic Writing using Text Classification.
  • Dimitris Michailidis:Location Aware Sequential Recommendation Using Hybrid Recurrent Neural Networks.
  • Doğu Aracı: FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.
  • Jeffrey Tsang: Applying Transfer Learning Through Pre-training of Public Data Sets to Abstractive Summarization.