👋 About me

• Currently Now:
  I am a first-year PhD student in Computer Science and Software Engineering at Auburn University, advised by Effat Farhana.

• In my Master:
  I received my Master’s degree in Computer Science Engineering at Johns Hopkins University (JHU) in the 2025 Spring. During my master’s studies, I am also a graduate research assistant volunteer at Johns Hopkins University, working withProf. Ziang Xiao and Prof. Jie Gao, and I have also actively engaged in NLP discussions with Prof. Jason Eisner(Faculty advisor) at the Center for Language and Speech Processing (CLSP). Meanwhile, I have also had the privilege of collaborating with Xingdi Yuan and Prof. Ruoyao Wang at Microsoft Research, Montréal.

• In my Undergraduate: I received my B.S. degree in Information and Computer Science and Mathematics from Liaoning Technology University in the 2023 Spring. During my undergrad study, I spent time at the Institute of Mathematics and Systems Science and the Institute of Machine Learning and Data Mining, where I was advised by Prof. Wei Liu and Prof.Yu Zhang works in Multivariate Statistical Analysis, Machine Learning, Reinforcement Learning, Informatics Theory, Numerical Analysis, and Math Modeling and Optimization Algorithms.
• Professional Industry Activities :
  • I am a Visiting Research Collaborator with EACON, focusing on AI agent reasoning for Driverless autonomous fleet coordination decision-making in intelligent mining operations.
  • I am also a Co-founder of SpringTeng AI, a startup community based in the China National University Science Park that has secured initial support from Government High-Tech Industrial Investment, collaborating with China Energy Zhunneng Group Investment on AI data analysis systems and industrial software applications.
  • I am also working with Prof. Fanhui Zeng in the Chinese Association for Artificial Intelligence (CAAI) Technical Committee on Artificial Intelligence Foundations, with a research focus on the mathematical foundations of artificial intelligence.

• 🤔 Research interest

My research broadly focuses on LLM agent reasoning and Legal AI, with my current research centered on two closely connected directions:

• Multi-Agent Communication & Collaboration Reasoning: Studying how collaboration structures, interaction protocols, feedback, and agent heterogeneity shape reasoning performance, reliability, and failure modes in multi-agent systems.

• Legal AI and Long-Context Reasoning: Studying complex long-context documents for legal reasoning in LLM-based systems and Retrieval-Augmented Generation (RAG), with particular interest in evidence grounding, multi-perspective reasoning, and collaborative decision-making.