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

Year: 2018 2017 2016 2014 2013 2012

2018

  • conf
    Zhilin Yang*, Peng Qi*, Saizheng Zhang*, Yoshua Bengio, William W. Cohen, Ruslan Salakutdinov, and Christopher D. Manning. HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. [PDF]   [BibTeX]   [Code]   [Homepage]  
  • conf
    Yuhao Zhang*, Peng Qi*, and Christopher D. Manning. Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. [PDF]   [BibTeX]   [Code]  
  • conf
    Urvashi Khandelwal, He He, Peng Qi, and Dan Jurafsky. Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. [PDF]   [BibTeX]   [Code]  

2017

  • conf
    Peng Qi and Christopher D. Manning. Arc-swift: A Novel Transition System for Dependency Parsing. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017. [PDF]   [BibTeX]   [Code]  
  • sysdesc
    Timothy Dozat, Peng Qi, and Christopher D. Manning. Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017. 1st place. [PDF]   [BibTeX]   [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]   [BibTeX]  

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]   [BibTeX]  
  • 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]   [BibTeX]  

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]   [BibTeX]  

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]   [BibTeX]   [Code]  
  • conf
    Peng Qi, Shuochen Su, and Xiaolin Hu. Modeling Outer Product of Features for Image Classification. In Proceedings of ICACI, 2013. [PDF]   [BibTeX]  

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]   [BibTeX]