Recruting
Yu is an assistant professor in the computer science department of the School of Computer and Data Science at the University of Oregon. He is looking for Ph.D. students interested in pursuing data mining and machine learning research. Master’s and undergraduate students and self-funded visiting students/scholars are also welcome to apply. So please reach out if interested.
Research Interests:
- Data Mining and Machine Learning
- Multi-purpose Driven Machine Learning for LLM + Semi-structured Knowledge Database
- Data-centric Machine Learning for Generative Graph Models
- Spatial and Temporal Machine Learning
- LLM-powered Agent Planning, Reasoning, Collaboration, and Social Simulation
- AI/ML Applications: Information Retrieval/Chemistry/Infrastructure
University of Oregon and Eugene
The University of Oregon (UO), founded in 1876, is a nationally renowned public research university in the United States. UO is a Carnegie Research I (R1) university. According to the 2023 US News national university rankings, UO is ranked 98th overall and 49th among top public schools, with its computer science program ranked 71th according to US News and 87th according to CS ranking. This historic institution has produced three Nobel laureates, 13 Pulitzer Prize winners, 19 Rhodes Scholars, and five Marshall Scholars.
Please look at the following two documents on why you want to choose the University of Oregon/Eugene and why you deserve the right advisor for your Ph.D.
- University of Oregon and Eugene 1.
- University of Oregon and Eugene 2.
- Right Advisor.
- Huge acknowledgment to my colleagues for creating the above two documents.
Basic Information:
- Contact Information: yuwang@uoregon.edu
- Requirement: GRE is optional
- Application Fee Waiver
Resource Provided:
- Full Scholarship Funding (TA/RA)
- Sufficient Computing Resources
- University RACs: 16H100, 52A100
- Group: 2*L40S/Ph.D.
- Personal: 1*4090/Ph.D.
- OpenAI-API key provided for LLM research
- Tremendous Industrial Lab Collaboration and Internship Opportunities
(Adobe Research, Visa, HomeDepot, Snap, Accenture) - Encouragement and support for attending domestic/international academic conferences