Machine Learning & Data Mining Researcher
I am a Research Assistant at Arizona State University. My research focuses on machine learning, data mining, and AI applications in simulation and decision-making systems.
I have published multiple papers in top-tier venues including ACM MM, SIGIR, KDD, IJCAI, and IEEE TBD. My work spans across recommender systems, feature transformation, and AI for simulation.
Past research focused on addressing cold-start problems and bias mitigation in recommender systems through generative models, graph neural networks, and fairness-aware approaches.
Previous work on developing data-driven simulators for high-stakes decision-making in complex environments, including supply chain optimization and geological CO₂ storage planning, as well as data-centric AI approaches for feature transformation and privacy preservation.
Currently exploring LLM agent workflow optimization and safety mechanisms.
NEC Laboratories America
May 2025 - Aug 2025
Working on cyberattack simulation and defense optimization, as well as LLM enhancement via strategic RAG-database integration.
KDD Lab, Arizona State University
Aug 2024 - Present
Conducting research in AI for simulation and data-centric AI under the supervision of Prof. Yanjie Fu.
Lab for Media Computing, Hefei University of Technology
Sep 2021 - Jun 2024
Focused on cold-start recommender systems and bias mitigation in recommendation systems under Prof. Le Wu's supervision.