Xiang Li (Lorraine)CV

Hi, I'm a second-year Computer Science PhD Student at UMass Amherst advised by Prof. Andrew McCallum. My research interests involve Natural Language Processing, especially commonsense knowledge reasoning.


Improved Representation Learning for Predicting Commonsense Ontologies(ICML WS 2017)

  • Recent work in learning ontologies (hierarchical and partially-ordered structures) has leveraged the intrinsic geometry of spaces of learned representations to make predictions that automatically obey complex structural constraints.
  • We explore two extensions of one such model, the order-embedding (Vendrov et al.) model for hierarchical relation learning, with an aim towards improved performance on text data for commonsense knowledge representation.

Commonsense Knowledge Base Completion(ACL 2016)

  • To make machines understand human commonsense better, by improve the coverage of human-curated resources.
  • Experienced several neural network architectures, including deep neural network, LSTM and so on using Theano and Lasagna
  • Details Here: http://ttic.uchicago.edu/~kgimpel/commonsense.html

Serendipitous Recommendation via User’s Recent Research Interests

  • Constructed researchers’ basic profiles from Google Scholar etc more than 5 data resources.
  • Integrated the basic profile with other features regarding the most dissimilar researcher from a group of similar researchers. Recommendation result is obtained by calculating cosine similarity on TF-IDF matrix representations.

Stock Return Prediction based on Patents and Twitter

  • Designed stock prediction model using kernel SVM, logistic regression and decision trees with features extracted from twitter and patents data.
  • Performed LDA topic model and dynamic topic model on patents data to extract patent features and preformed sentiment analysis on twitter data to extract twitter features.
  • Based on our model’s trading decision on Google, Microsoft and Yahoo stock from January to June 2015, investors will benefit 1.05% to 1.25%.

Linear equation solvers Implementation on GPU

  • I was one of the eight undergraduates selected from China as part of the UA intern program.
  • Implemented three linear equation solvers on GPU and perform efficiency tests to determine the best one to be used in energy systems.
  • Details Here: Linear Equation Solvers Comparasion

Life in China and US

I love trying new things and challenge myself everyday. Here are some selections from my pictures. I'm hoping to make more memories in the near future about my academic life!

Contact Me

Email: xiangl@cs.umass.edu
Mobile: (317)965-5496
Address: 9 Brandywine, Amherst, MA