I am a third year Ph.D. student (2023 Fall - Present) in Computer Science and Engineering at University of Notre Dame. I am supervised by Prof. Yanfang (Fanny) Ye. My research centers on AI, machine learning, data science, and their applications to both societal challenges and scientific discovery. Recently, I have focused on developing agentic AI and world models, with a specific on planning and memory. I apply these advances across multiple domains, including healthcare, information systems, and biology. I aim to answer the question: how to acquire, represent, and utilize world knowledge in ways that support robust decision-making in agentic systems and scientific discovery?

• Agentic AI: planning (arXiv, WWW 26), memory (arXiv), retrieval-augmented reasoning (KDD 24, KDD 25, ACL 25), agent collaboration (NeurIPS 25, arXiv), self-evolving (arXiv).
• Foundation Models: structural vocabulary (NeurIPS 25, ICML 25), foundation model on graphs (Survey, NeurIPS 24, ICML 25), multimodality (EACL 26, NAACL 25), model architecture search (TII).
• Graph Learning: learning dynamics (IJCAI 24), self-supervised learning (WSDM 25, TNNLS), heterogeneous graph (SDM 23), hyper-graph (ICDM 25).
• AI for Science and Social Good: drug discovery (WWW 26), research (Survey), drug trafficking detection (ACL 25).

Feel free to reach out me via email, wechat, or linkedin if you have any questions, explore potential collaborations, or just for talk! 😊