Xiang Lorraine LiCV

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


Smoothing the Geometry of Probabilistic Box Embeddings.

Xiang Li*, Luke Vilnis*, Dongxu Zhang, Michael Boratko, Andrew McCallum. International Conference on Learning Representations (ICLR), 2019. Oral Presentation(1.5%) . * Equal contribution.

Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures.

Luke Vilnis*, Xiang Li*, Shikhar Murty, Andrew McCallum. Annual Meeting of the Association for Computational Linguistics (ACL), 2018 . * Equal contribution.

Improved Representation Learning for Predicting Commonsense Ontologies.

Xiang Li, Luke Vilnis, Andrew McCallum. International Conference on Machine Learning Workshop on Deep Structured Prediction (ICML WS), 2017.

Commonsense Knowledge Base Completion.

Xiang Li, Aynaz Taheri, Lifu Tu, Kevin Gimpel. Annual Meeting of the Association for Computational Linguistics (ACL), 2016 .

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. I'm hoping to make more memories in the near future about my academic life!