معرفی
Haoyi Xiong is an active academic researcher in artificial intelligence, machine learning, and data science, with extensive publications in top-tier journals and conferences including IEEE TPAMI, NeurIPS, ICML, KDD, and AAAI. His work spans explainable AI, graph neural networks, diffusion models, remote sensing, and large language models.
Research Interests:
- Explainable AI (XAI) and model interpretability
- Graph Neural Networks and contrastive learning
- Diffusion models and generative AI
- Medical and remote sensing image analysis
- Large language models and autonomous agents
- Learning to rank and web search
His recent publications (2023–2025) show a strong trend toward self-supervised learning, model robustness, and integration of LLMs with structured data and knowledge graphs. He frequently collaborates with researchers from major tech and academic institutions.
Scientific Awards:
- No explicit awards mentioned in the provided text.
Advising and Grants: While no direct mention of students or grants, his role as a senior author on numerous papers suggests he advises graduate students and likely leads funded research projects in machine learning and AI. His work on frameworks like COLTR, GS2P, and MUSCLE indicates leadership in developing scalable AI systems.
Labs and Teams: Though not explicitly stated, his frequent collaboration with Jiang Bian, Dejing Dou, and Dawei Yin suggests affiliation with a well-established AI research lab or industry-academia partnership focused on data mining, intelligent systems, and large-scale learning.
