معرفی
Yao Ma is an Assistant Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). His research bridges graph machine learning, natural language processing, and trustworthy AI, with a focus on scalable and robust computational frameworks. He directs the Graph Machine Learning Lab at RPI, advancing methodologies for graph condensation, neural architecture robustness, and foundation models.
Research Interests: Dr. Ma's work spans graph neural networks (GNNs), adversarial robustness, language model efficiency, and data-centric AI. Key innovations include techniques for graph condensation, trustworthiness in LLMs, and multi-agent learning systems. His recent surveys systematize advancements in small language models and graph foundation models, highlighting scalability and transferability challenges.
Publication Trends: His 2024–2025 articles emphasize graph-based NLP, efficient data valuation, and adversarial defenses. Dominant themes include graph condensation (6 papers), LLM/GNN integration (4 papers), and robustness benchmarking (3 papers), reflecting a cohesive agenda in scalable, reliable graph AI.
Awards & Advising: No awards or students are noted in available sources.
Lab & Team: Leads the Graph Machine Learning Lab at RPI, focusing on theoretical and applied graph AI. Collaborative projects include cross-departmental initiatives in quantum computing and NLP.
