PhD student, HKUST(GZ)
2 papers at NeurIPS 2025
Training- and GPU-free Spatial Prompting for Multimodal Large Language Models
We propose the first multimodal foundation model for 3D genomics, integrating Hi-C contact maps and chromatin accessibility to achieve unified semantic representation, outperforming state-of-the-art methods on diverse tasks.
