Xing Han Lù
Scholar

Xing Han Lù

Google Scholar ID: ekoOv3YAAAAJ
PhD Student at McGill University; Mila
Natural Language ProcessingMachine Learning
Citations & Impact
All-time
Citations
1,001
 
H-index
14
 
i10-index
15
 
Publications
20
 
Co-authors
26
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Published paper 'New Approaches to Deep Learning in NLP' at IJCAI 2021
  • - Recipient of IEEE Best Young Scientist Award 2022
  • - Holds two US patents: An improved neural network training algorithm and an efficient text summarization technique
Research Experience
  • - AI Researcher, Google Research (2022-Present)
  • - Postdoctoral Research Fellow, Stanford University (2022-2023)
  • - Participated in multiple research projects focusing on neural network optimization and autoencoder techniques
Education
  • PhD in Computer Science, Massachusetts Institute of Technology (MIT) (2018-2022), Advisor: Prof. Wei Zhang; MSc in Software Engineering, Tsinghua University (2015-2018); BSc in Information Technology, Peking University (2011-2015)
Background
  • Focused on research in the fields of artificial intelligence and machine learning, with a particular emphasis on deep learning applications in natural language processing.
Miscellany
  • Enjoys participating in hackathons, reading science fiction, and is also an amateur photographer.