Xin Liu
Scholar

Xin Liu

Google Scholar ID: WvC4upQAAAAJ
Amazon Store Foundational AI
Machine LearningNatural Language Understanding
Citations & Impact
All-time
Citations
1,212
 
H-index
21
 
i10-index
32
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in the fields of machine learning and natural language processing, such as 'Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation' (ACM Transactions on Information Systems, 2023) and 'ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities' (Artificial Intelligence, 2022).
Research Experience
  • Currently an Applied Scientist at Amazon Search - Rufus, working on building generative AI for shopping, including pre-training, post-training, online traffic routing, and prompting.
Education
  • Received a B.E. degree in Computer Science from Sun Yat-sen University in June 2018, supervised by Prof. Rong Pan; Obtained a Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology in July 2023, under the supervision of Prof. Yangqiu Song.
Background
  • Research interests lie at the intersection of machine learning and natural language processing, focusing on inference, reasoning, and knowledge. Aims to build intelligent systems that can understand and reason over user behaviors and natural languages with the help of structural knowledge and unstructured common sense.