hierarchical models 1multimodal financial data 1synthetic data generation 1tabular data 1top-down bottom-up 1
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cs.LG2026
Hierarchical Synthetic Tabular Data Generation: A Hybrid Top-Down and Bottom-Up Framework
Junfeng Nie, Alvin Jin, Xiaohui Chen
The paper introduces a hierarchical hybrid framework that combines top‑down semantic constraints with bottom‑up lightweight tabular generators to create synthetic tabular data that…
cs.LG2025
Graph Generative Pre-trained Transformer
Xiaohui Chen, Yinkai Wang, Jiaxing He +4
Graph generation is a critical task in numerous domains, including molecular design and social network analysis, due to its ability to model complex relationships and structured da…
cs.LG2025
Large Language Model is Secretly a Protein Sequence Optimizer
Yinkai Wang, Jiaxing He, Yuanqi Du +5
We consider the protein sequence engineering problem, which aims to find protein sequences with high fitness levels, starting from a given wild-type sequence. Directed evolution ha…