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Liang Li

4 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • math.DS1
  • physics.optics1
ORCID 0000-0002-1577-408X
same name
  • Liang Li — 23 papers
  • Liang Li — 17 papers, h 57
  • Liang Li — 17 papers
  • Liang Li — 9 papers, h 14
  • Liang Li — 8 papers
  • Liang Li — 5 papers, h 15

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 citedInstantaneous optical selection rule for independent control of valley currents

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

math.DS2025

On the plaque topological stability of partially hyperbolic diffeomorphisms

L. Li, C. A. Morales, B. Shin

We prove that every dynamically coherent plaque expansive partially hyperbolic diffeomorphism is topologically stable with respect to the central foliation (in short, {\em plaque t…

cs.LG2025

A Multimodal Foundation Model to Enhance Generalizability and Data Efficiency for Pan-cancer Prognosis Prediction

Huajun Zhou, Fengtao Zhou, Jiabo Ma +6

Multimodal data provides heterogeneous information for a holistic understanding of the tumor microenvironment. However, existing AI models often struggle to harness the rich inform…

physics.optics2025★ 1 cited

Instantaneous optical selection rule for independent control of valley currents

Wanzhu He, Xiaosong Zhu, Liang Li +4

We reveal an instantaneous optical valley selection rule that illuminates the coupling between the instantaneous optical chirality of the driving laser field and the chirality of v…

cs.CV2025

Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation

Chao Liao, Liyang Liu, Xun Wang +7

Recent progress in unified models for image understanding and generation has been impressive, yet most approaches remain limited to single-modal generation conditioned on multiple…

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