Lab Introduction
Welcome to our lab in the Department of Computer Science and Software Engineering at Auburn University. Our research is driven by a passion for uncovering the elegance of foundational science and expanding the frontiers of knowledge. We focus on collaborative machine learning, multimodal foundation models, and the grounding of AI in real-world applications, especially healthcare.
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Research Directions
The following are my interested research directions, which means they might not be yours. I am open to discuss further with you to find the topics we are both excited about based on your interest and background.
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Machine learning
- Federared learning, collaborative machine learning system
- Multi-agent cooperation, swarm intelligence
- Human imitative learning, artificl intelligence grounding
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Foundation model and LLMs
- Multimodal learning, knowledge conflict, editing, and alignment
- Neural network understanding, generation, and evaluation
- Practical distributed deployment, capability boundary, humanity regulations
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Healthcare and other applications
- Human-involved medical decision support, rare and complicated disease detection, mental disease treatment
- Comprehensive medical foundation model, medical industry optimization
- Interpretable and responsible delivery for science, engineering, and policy making
Openings
I enjoy working with ambitious, self-motivated, and talented students.
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Prospective PhD students
To be admitted for Fall 2025,
you must already be residing in the U.S. due to the admission timeline.
I have fully-funded openings for Spring and Fall 2026.
If you are interested, please send your CV, transcripts, and a brief intro, which could be research, internships, proud achievements, fun experiences, or anything unique that may not appear on your CV.
- A background in CS, mathematics, statistics, informatics, data science, ECE, or related fields is not strictly required. However, strong programming skills, experience with machine learning, and solid logical thinking are expected. Publication experience is a plus but not necessary.
- Auburn CS graduate program requirements: please check the link.
- The email subject should be: Year + Ph.D. Application + Name.
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Current MS, or Undergrad students at Auburn University:
If you are interested in our lab, please send me your CV. In the email, please share how I can help you, e.g., research experience, projects, or others. (Subject: Auburn University Student + Name).
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Prospective Research Interns: I am always happy to work with research interns. Please send me your CV, your estimated available time periods, and your interested research directions. (Subject: Research Intern + Name).
Appplication Contact: My recruitment email address is jackdrinksicecoffee[at]gmail.com. I will review every application but I am sorry that I may not be able to reply to every email. I appreciate your understanding.
My Pleasure
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Full financial support including complete tuition waiver and stipend.
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Sufficient computation resources and work space.
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Innovative and elegant research exploration based on your interest. 1-1 discussion time and collaborative group study if necessary. Impactful research delivery in top conferences and journals.
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Freedom for industry internship. Internship opportunities in top research labs in the industry including (but not limited to) Google Research, Amazon Science, Meta, ByteDance, Sony AI, Visa Research, GE Healthcare and IQVIA.
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Personalized career development and self-growth support upon your request.
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If you have a very vague understanding of Ph.D. journey, I would like to share my personal experience upon requested. .