Yang Zhang, Ph.D.

Biography

I am an Assistant Professor in the Department of Computer Science and Software Engineering at Miami University. Prior to this, I served as a Teaching Assistant Professor at the University of Illinois Urbana-Champaign (UIUC). Additionally, I also worked as a Postdoctoral Research Associate at UIUC and a W. J. Cody Research Associate at Argonne National Laboratory. I hold a Ph.D. in Computer Science and Engineering from the University of Notre Dame, an M.S. in Data Science from Indiana University Bloomington, and a B.E. in Software Engineering from Wuhan University.

Prospective Students

We have fully funded openings for Ph.D./M.S. students in Computer Science, and we also welcome all students interested in collaborating or participating in our ongoing research through independent study or guided research projects. If you are interested, please feel free to email me your CV and/or research statement at zhang981@miamioh.edu.

Research Interests

Human-Generative AI/LLM Collaboration

• Human-AI alignment and collaboration in generative models
• Collaborative neural architecture and hyperparameter searh with human-AI interaction
• Development of Co-Learning Frameworks for Integrating Human Intelligence with Generative AI/LLM

Generative AI/LLM Modeling Challenges

• Addressing data sparsity in Generative AI/LLM models and enhancing learning from limited data
• Tackling information multimodality for more comprehensive Generative AI/LLM understanding
• Ensuring the trustworthiness and universality of Generative AI/LLM models across diverse applications

You can learn more about our lab and research at the Human-Centered Generative AI Lab.

Awards and Honors

• [2023, 2024] Teachers Ranked as Excellent, University of Illinois
• [2022] Best Paper Award, ACM/IEEE ASONAM
• [2022] Best Paper Honorable Mention, IEEE SMARTCOMP
• [2021] Outstanding Graduate Research Assistant Award, University of Notre Dame
• [2021] Video Presentation Award, ACM/IEEE IWQoS
• [2020] W. J. Cody Associate Award, Argonne National Laboratory
• [2018, 2019] Conference Travel Award, IEEE
• [2015] Data Science Scholar Fellowship, Indiana Unviersity
• [2010, 2011] First Class Scholarship, Wuhan Unviersity