About Me

Who Am I?

I am currently a tenure-track Assistant Professor in the College of Information Sciences and Technology and a faculty co-hire in the Institute for Computational and Data Sciences at Pennsylvania State University since August 2019. I received my PhD degree from the Department of Computer Science and Engineering, the State University of New York at Buffalo in 2019. My advisor was Prof. Jing Gao. Before that, I obtained M.S. and B.S. from Dalian University of Technology in China.

My research interests broadly are data mining and machine learning, including healthcare data mining, deep learning, natural language processing, security, large language models (LLM), and multimodal large language models (MLLM).

Openings: I am looking for motivated students (including PhDs, masters, and interns) working in healthcare data mining, machine learning, natural language processing, and vision language. If you are interested in joining my group, please send me your CV.

Current Projects

NSF IIS -- Small: Towards Efficient Adaptive Federated Learning: Algorithms, Theories, and Applications, 2024-2027, $600K, Co-PI

CTSI Bridges to Translation IX Pilot Award -- Fairness-aware Federated Learning for Early Detection of Pancreatic Cancer Using Multimodal Electronic Health Records, 2024-2025, $50K, PI

NSF ITE -- Proto-OKN Theme 1: A Knowledge Graph Warehouse for Neighborhood Information, 2023-2026, $1.5M, Co-PI

NSF IIS -- Career: Automated Multimodal Learning for Healthcare, 2023-2028, $555,752, Sole PI.

NIH R01 -- SCH: AI-Enhanced Multimodal Sensor-on-a-chip for Alzheimer's Disease Detection, 2022-2026, $1.2M, Lead PI

NSF SaTC -- Understanding and Mitigating the Security Risks of AutoML, 2022-2024, $500K, PI

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