Heli Sun
Papers
1
Total Citations
20
H-Index
1
About
Heli Sun is a leading researcher at the forefront of multimodal artificial intelligence, with a particular focus on the design and development of advanced agent-based AI systems. Their most notable contribution is the comprehensive survey, "Multimodal Agent AI: A Survey of Recent Advances and Future Directions" (2025), which has already garnered 20 citations, signaling its rapid influence in the field. This work systematically maps the landscape of multimodal agents—AI systems that integrate and process diverse data types such as text, images, and audio to perform complex, real-world tasks. Sun’s survey not only synthesizes recent breakthroughs but also outlines critical future directions, including challenges in cross-modal reasoning, scalability, and ethical deployment. By providing a structured taxonomy and highlighting open problems, Sun has become a key voice in guiding both new researchers and seasoned practitioners. Their work is essential reading for anyone interested in the next generation of autonomous, perceptive AI agents, and it promises to shape research agendas for years to come.
Research Focus
Key Achievements
Top Papers
- 1Multimodal Agent AI: A Survey of Recent Advances and Future Directions20 citations · 2025