Tianyang Wang
Scholar

Tianyang Wang

Google Scholar ID: QbTV0r0AAAAJ
University of Alabama at Birmingham
machine learning (deep learning)computer vision
Citations & Impact
All-time
Citations
790
 
H-index
13
 
i10-index
18
 
Publications
20
 
Co-authors
20
list available
Resume (English only)
Academic Achievements
  • Published over 60 papers in well-known journals and conferences, including top venues: TNNLS, NeurIPS, ICCV, AAAI, IJCAI, ACM MM, MICCAI, EMNLP, and COLM.
Research Experience
  • Joined the University of Alabama at Birmingham in August 2023, serving as a tenure-track assistant professor in the Department of Computer Science. Previously, was a visiting researcher at Baidu Research and has been a remote researcher in the XuLab at CMU since 2020.
Education
  • Ph.D. in Computer Science from Southern Illinois University; Master's in Computer Science and Bachelor's in Software Engineering from Jilin University, China. Was a visiting researcher at Baidu Research in 2019 and has been working as a remote researcher (unpaid) in the XuLab at Carnegie Mellon University (CMU) since 2020.
Background
  • Research interests include AI, machine (deep) learning, computer vision, NLP, and broad data science. Particularly interested in leveraging AI and machine learning for interdisciplinary research, such as biomedical informatics. Current works focus on multi-modal large language models and their parameter-efficient adaptation, multi-modal video generation, deep active learning, deep transfer learning, and their applications in various domains (biomedical research, intelligent transportation system, natural disaster analysis, etc).
Miscellany
  • Actively hiring Ph.D. students to join his group as research assistants. All positions will be fully funded. Students have a chance to be recommended to do a research internship at CMU, Oak Ridge National Laboratory, or Amazon during their Ph.D. study.