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researcher

Ge Liu

13 papers hereh-index 6122 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author8

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.CV3
  • q-bio.BM1
same name
  • Ge Liu — 19 papers, h 4
  • Ge Liu — 14 papers, h 4
  • Ge Liu — 5 papers, h 2
  • Ge Liu — 4 papers, h 7
  • Ge Liu — 4 papers, h 3
  • Ge Liu — 4 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedHotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

3 citations · 8 across the 13 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

Stochastic Control Policies for Robust Molecular Transition Path Sampling

Jingqian Liu, Yu-Hsiang Wang, Yanru Qu +1

Transition path sampling (TPS) aims to efficiently generate rare molecular transition trajectories between metastable states and is essential for understanding biomolecular mechani…

cs.LG2026

Variable-Length Generative Protein Design via Generalized Poisson Flow

Chaoran Cheng, Zhanghan Ni, Yanru Qu +4

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- an…

cs.CV2026

M3: High-fidelity Text-to-Image Generation via Multi-Modal, Multi-Agent and Multi-Round Visual Reasoning

Bangji Yang, Ruihan Guo, Jiajun Fan +2

Generative models have achieved impressive fidelity in text-to-image synthesis, yet struggle with complex compositional prompts involving multiple constraints. We introduce \textbf…

cs.LG2026

Protein Autoregressive Modeling via Multiscale Structure Generation

Yanru Qu, Cheng-Yen Hsieh, Zaixiang Zheng +2

We present protein autoregressive modeling (PAR), the first multi-scale autoregressive framework for protein backbone generation via coarse-to-fine next-scale prediction. Using the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.