Interview with Xiang Fang: Multi-modal learning and embodied intelligence
His research focuses on multi-modal learning, specifically advancing large vision-language models, embodied intelligence, and out-of-distribution detection. Xiang has published over 40 papers in top-tier venues, including CVPR, NeurIPS, ICML, AAAI, and ACM MM. He is the recipient of multiple awards, including the NTU Research Excellence Award and Best Student Paper at MIPR 2024, and serves as a reviewer for major AI conferences."
Jan-20-2026, 10:06:36 GMT
- Country:
- Asia
- Europe > Russia
- Central Federal District > Moscow Oblast > Moscow (0.05)
- Industry:
- Education (0.35)
- Leisure & Entertainment > Sports
- Soccer (0.31)
- Technology:
- Information Technology > Artificial Intelligence
- Natural Language (0.93)
- Vision (0.70)
- Information Technology > Artificial Intelligence