Steven Y. Feng
Scholar

Steven Y. Feng

Google Scholar ID: zwiszZIAAAAJ
Stanford University, CS PhD Student
Machine LearningDeep LearningNatural Language ProcessingComputer VisionArtificial
Citations & Impact
All-time
Citations
1,693
 
H-index
12
 
i10-index
12
 
Publications
15
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published several papers at major conferences; Best Long Paper Award at INLG 2021; Honorable Mention for the Jessie W.H. Zou Memorial Award; CRA Outstanding Undergraduate Researcher Award Honorable Mention.
Research Experience
  • Research Intern at NVIDIA, improving the pretraining of LLMs; Applied Scientist Intern at Amazon's Alexa AI team, enhancing the reasoning capabilities of LLMs; Co-organized the CtrlGen workshop at NeurIPS 2021; Led the GEM benchmark and NLG evaluation workshop.
Education
  • PhD: Stanford University, advised by Michael C. Frank and Noah Goodman; Master's: Carnegie Mellon University, advised by Eduard Hovy and Malihe Alikhani; Bachelor's: University of Waterloo, advised by Jesse Hoey.
Background
  • A third-year Computer Science PhD student at Stanford and an NSERC PGS-D scholar. My ultimate goal is to blend knowledge from multiple disciplines to advance AI research, particularly in aligning foundation models with human learning and capabilities, especially in reasoning, generalization, and efficiency. I have explored ways to improve the controllability of language and visual generation models, and integrate structured and multimodal information to enhance their reasoning capabilities.
Miscellany
  • Interests include gaming, playing piano and guitar, singing, dancing, martial arts, and table tennis; Founder and President of the Stanford Piano Society.
Co-authors
0 total
Co-authors: 0 (list not available)