Here’s a list of my publications. (*=Equal contribution)

Year: 2020 2019 2018 2017 2016 2014 2013 2012

2020

  • preprint
    Peng Qi, Yuhao Zhang, and Christopher D. Manning. Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. arXiv preprint, 2020. [PDF]     
  • preprint
    Devendra Singh Sachan, Yuhao Zhang, Peng Qi, and William Hamilton. Do Syntax Trees Help Pre-trained Transformers Extract Information?. arXiv preprint, 2020. [PDF]     
  • preprint
    Ashwin Paranjape*, Abigail See*, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, and Christopher D. Manning. Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. arXiv preprint, 2020. [PDF]     
  • sysdesc
    Peng Qi*, Yuhao Zhang*, Yuhui Zhang, Jason Bolton, and Christopher D. Manning. Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. In Association of Computational Linguistics (ACL), System Demonstrations, 2020. [PDF]      [Homepage]  

2019

  • conf
    Peng Qi, Xiaowen Lin*, Leo Mehr*, Zijian Wang*, and Christopher D. Manning. Answering Complex Open-Domain Questions Through Iterative Query Generation. In 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019. [PDF]      [Code]   [Poster]  

2018

2017

  • conf
    Peng Qi and Christopher D. Manning. Arc-swift: A Novel Transition System for Dependency Parsing. In 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017. [PDF]      [Code]   [Slides]  
  • sysdesc
    Timothy Dozat, Peng Qi, and Christopher D. Manning. Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. In CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017. 1st place. [PDF]      [Code]  
  • sysdesc
    Arun Chaganty*, Ashwin Paranjape*, Jason Bolton*, Matthew Lamm*, Jinhao Lei*, Abigail See*, Kevin Clark, Yuhao Zhang, Peng Qi, and Christopher D. Manning. Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. In Text Analysis Conference (TAC) Proceedings, 2017. [PDF]     

2016

  • sysdesc
    Yuhao Zhang*, Arun Chaganty*, Ashwin Paranjape*, Danqi Chen*, Jason Bolton*, Peng Qi, and Christopher D. Manning. Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. In Text Analysis Conference (TAC) Proceedings, 2016. [PDF]     
  • journal
    Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Dan Jurafsky, and Andrew Y. Ng. Building DNN Acoustic Models for Large Vocabulary Speech Recognition. Computer Speech & Language, 2016. [PDF]     

2014

  • journal
    Xiaolin Hu, Jianwei Zhang, Peng Qi, and Bo Zhang. Modeling Response Properties of V2 Neurons with a Modified K-Means. Neurocomputing, 2014. [PDF]     

2013

  • journal
    Peng Qi and Xiaolin Hu. Learning Nonlinear Regularities in Natural Images by Modeling the Outer Product of Image Intensities. Neural Computation, 2013. [PDF]      [Code]  
  • conf
    Peng Qi, Shuochen Su, and Xiaolin Hu. Modeling Outer Product of Features for Image Classification. In ICACI, 2013. [PDF]     

2012

  • conf
    Xiaolin Hu, Peng Qi, and Bo Zhang. Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons. In Neural Information Processing, pp. 373–381, 2012. Best Paper Award. [PDF]