Here’s a list of my publications.

Year: 2018 2017 2016 2014 2013 2012


  • Yuhao Zhang*, Peng Qi*, and Christopher D. Manning. Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. Preprint. [PDF]  
  • 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]  


  • 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]  
  • Timothy Dozat, Peng Qi, and Christopher D. Manning. Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. 1st place. [PDF]   [BibTeX]   [Code]  


  • 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]  
  • Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, and Andrew Y. Ng. Building DNN Acoustic Models for Large Vocabulary Speech Recognition. Computer Speech & Language, 2016. [PDF]   [BibTeX]  


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


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


  • 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]