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Jingjing Liu

4 papers hereh-index 4250 citations7 works total

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CL1
  • physics.chem-ph1
same name
  • Jingjing Liu — 62 papers, h 48
  • Jingjing Liu — 17 papers, h 12
  • Jingjing Liu — 12 papers, h 10
  • Jingjing Liu — 11 papers, h 11
  • Jingjing Liu — 6 papers, h 5
  • Jingjing Liu — 5 papers, h 6

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

most citedUnified Generative Modeling of 3D Molecules via Bayesian Flow Networks

3 citations · 5 across the 4 of their papers we have counts for

collaborators

4 papers

cs.LG2025

ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation

Yuxuan Song, Zhe Zhang, Yu Pei +7

Generative modeling of discrete variables is challenging yet crucial for applications in natural language processing and biological sequence design. We introduce the Shortlisting M…

cs.CL2025

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent

Hongli Yu, Tinghong Chen, Jiangtao Feng +8

Despite improvements by length extrapolation, efficient attention and memory modules, handling infinitely long documents with linear complexity without performance degradation duri…

cs.LG2025★ 2 cited

A Periodic Bayesian Flow for Material Generation

Hanlin Wu, Yuxuan Song, Jingjing Gong +6

Generative modeling of crystal data distribution is an important yet challenging task due to the unique periodic physical symmetry of crystals. Diffusion-based methods have shown e…

physics.chem-ph2024★ 3 cited

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks

Yuxuan Song, Jingjing Gong, Yanru Qu +4

Advanced generative model (e.g., diffusion model) derived from simplified continuity assumptions of data distribution, though showing promising progress, has been difficult to appl…

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