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Song Liu

3 papers hereh-index 586 citations6 works total

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

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.RO1
  • stat.ML1
same name
  • Song Liu — 30 papers, h 11
  • Song Liu — 15 papers, h 26
  • Song Liu — 10 papers, h 26
  • Song Liu — 9 papers, h 14
  • Song Liu — 7 papers, h 20
  • Song Liu — 7 papers, h 2

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 citedBridging the Gap Between Variational Inference and Wasserstein Gradient Flows

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model

Team Seedance, Heyi Chen, Siyan Chen +194

Recent strides in video generation have paved the way for unified audio-visual generation. In this work, we present Seedance 1.5 pro, a foundational model engineered specifically f…

cs.RO2025

FastUMI-100K: Advancing Data-driven Robotic Manipulation with a Large-scale UMI-style Dataset

Kehui Liu, Zhongjie Jia, Yang Li +14

Data-driven robotic manipulation learning depends on large-scale, high-quality expert demonstration datasets. However, existing datasets, which primarily rely on human teleoperated…

stat.ML2023★ 1 cited

Bridging the Gap Between Variational Inference and Wasserstein Gradient Flows

Mingxuan Yi, Song Liu

Variational inference is a technique that approximates a target distribution by optimizing within the parameter space of variational families. On the other hand, Wasserstein gradie…

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