I am a Ph.D. student in the Department of Electrical Engineering and Computer Science at the University of Kansas, advised by Dr. Dongjie Wang.

My research focuses on tabular data mining and tabular foundation models, particularly exploring the integration of large language models (LLMs), federated learning, and causal inference to build efficient, interpretable, and scalable data science systems.

I obtained my master’s degree from the School of Electrical Engineering and Computer Science at Oregon State University, under the supervision of Dr. Thinh Nguyen and Dr. Jinsub Kim.

πŸ”₯ News

  • 2025.05: πŸŽ‰ One paper is accepted by KDD2025!

πŸ“ Publications

KDD 2025
sym

Continuous Optimization for Feature Selection with Permutation-Invariant Embedding and Policy-Guided Search \ Rui Liu, Rui Xie, Zijun Yao, Yanjie Fu, Dongjie Wang

  • Academic Impact: In this work, we address two critical challenges in feature selection by introducing a permutation-invariant encoder-decoder and a policy-guided reinforcement learning search strategy, providing a robust and generalizable solution.

πŸŽ– Fellowships and Awards

  • 2025.06 KDD Student Travel Award
  • 2021.07 OSU Continued Success Scholarship

πŸ“– Educations

  • 2025.08 - , PhD, Department of Electrical Engineering and Computer Science, University of Kansas. Advised by Dr. Dongjie Wang
  • 2019.09 - 2022.12, Master, School of Electrical Engineering and Computer Science, Oregon State University. Advised by Dr. Thinh Nguyen and Dr. Jinsub Kim
  • 2015.09 - 2019.09, Undergraduate, School of Mechanical Engineering, Liaoning Petrochemical University, Fushun, China.

πŸ’» Working Experience & Internships

  • 2023.02 - 2025.01, Algorithm Engineer, Neutech, Dalian, China.

πŸ“š Services

  • Volunteer: The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025
  • Volunteer: The 1st International Workshop on AI for Data Editing (AI4DE) @ The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025