Ge Liu

Variable-Length Generative Protein Design via Generalized Poisson Flow

Chaoran Cheng, Zhanghan Ni, Yanru Qu, Yuxin Chen, Ruihan Guo, Jiajun Fan, et al.

The ability to generate variable-length proteins is crucial in protein design, where the optimal length is often unknown and tightly coupled to designability. Current diffusion- and flow-based generative models typically require the protein length to be specified before sampling,…Read more

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning

Fangxu Yu, Tao Feng, Dehai Min, Lu Cheng, Ge Liu, Tianyi Zhou

Time series reasoning is essential for real-world problem-solving. While both Large Language Models (LLMs) and Vision-Language Models (VLMs) can reason about time-series data, their capabilities are complementary: LLMs process time series as text sequences and thus preserve exact…Read more

A review of machine learning applications in inland and nearshore water color remote sensing: from preprocessing to object detection and parameter estimation

Jiarui Shi, Zuchuan Li, Ge Liu, C. Fang, Z. Wen, Y. Shang, et al.