4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Neural Operators for Biomedical Spherical Heterogeneity
Hao Tang, Hao Chen, Hao Li +1
Spherical deep learning has been widely applied to a broad range of real-world problems. Existing approaches often face challenges in balancing strong spherical geometric inductive…
cs.LG2025
Geometric Laplace Neural Operator
Hao Tang, Jiongyu Zhu, Zimeng Feng +2
Neural operators have emerged as powerful tools for learning mappings between function spaces, enabling efficient solutions to partial differential equations across varying inputs…
q-bio.GN2024★ 4 cited
Artificial Intelligence for Central Dogma-Centric Multi-Omics: Challenges and Breakthroughs
Lei Xin, Caiyun Huang, Hao Li +8
With the rapid development of high-throughput sequencing platforms, an increasing number of omics technologies, such as genomics, metabolomics, and transcriptomics, are being appli…