Group Introduction

Welcome to Responsible and Interactive Intelligence (RIDER) Lab. Our research is driven by a passion for uncovering the elegance of foundational science and expanding the frontiers of knowledge. We focus on responsible and interactive machine learning, multimodal foundation models/LLMs, and the grounding of AI in real-world applications, especially healthcare.

Students

Current PhD Students

Chenjia Li 2026 Spring

Ruisi Li 2027 Spring

Previous Mentoring Experience

Shiqi Wang             M.S.      Purdue University                                                                              Jun. 2023 - Dec. 2023
Jingxuan Wang      B.S.      The Pennsylvania State University                                                  Sep. 2023 - May 2024
Aaron Cui                B.S.      The Pennsylvania State University                                                  Sep. 2023 - May 2024 -->
Shenglai Zeng         B.S.      University of Electronic Science and Technology of China            2021 - 2022              Now Ph.D. student at MSU

• Collaborative Machine learning
  • Federated learning, distributed computing
  • Multi-agent cooperation, swarm intelligence
• Generative AI and Large Language Models
  • Neural network understanding, generation, and evaluation
  • Responsible Generative AI, capability boundary, and humanity regulations
• Healthcare
  • Wearable AI systems, physical AI for healthcare
  • Interpretable, responsible, and human-centered AI for healthcare

Openings

I enjoy working with ambitious, self-motivated, and talented students.

• Prospective PhD students
  
  • I have fully-funded openings for 2027 Spring and Fall. If you are interested, please submit your application and then send your CV, transcripts, and a brief intro.
  • 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.
  • TOEFL>=79, IELTS>=6.5, GRE is not required. TOEFL requirements may be waived for international students who have earned a bachelor’s or master’s degree from an accredited institution in the U.S. or another English-speaking country, depending on the official language and medium of instruction. Auburn CS graduate program requirements: please check the link.
  • The email subject should be: Year + Semester + Ph.D. Application + Name.
• 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).
• 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).
• Application Contact: My email address is jqwang[at]auburn.edu. I will review every application but I am sorry that I may not be able to reply to every email. I appreciate your understanding.