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Yao Mu

16 papers hereh-index 141.1k citations23 works total

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

author position
  • first author4
  • middle author12

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CV3
  • cs.AI1
  • cs.RO1
  • eess.SY1
same name
  • Yao Mu — 20 papers, h 2
  • Yao Mu — 18 papers, h 4
  • Yao Mu — 14 papers, h 12
  • Yao Mu — 9 papers, h 5
  • Yao Mu — 9 papers, h 2
  • Yao Mu — 8 papers, h 4

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
20202026
most citedEmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

41 citations · 79 across the 16 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 21 cited

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

Yao Lai, Yao Mu, Ping Luo

Placement is an essential task in modern chip design, aiming at placing millions of circuit modules on a 2D chip canvas. Unlike the human-centric solution, which requires months of…

cs.CV2022★ 4 cited

Scale-Equivalent Distillation for Semi-Supervised Object Detection

Qiushan Guo, Yao Mu, Jianyu Chen +3

Recent Semi-Supervised Object Detection (SS-OD) methods are mainly based on self-training, i.e., generating hard pseudo-labels by a teacher model on unlabeled data as supervisory s…

cs.CV2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning

Zhecheng Yuan, Guozheng Ma, Yao Mu +5

One of the key challenges in visual Reinforcement Learning (RL) is to learn policies that can generalize to unseen environments. Recently, data augmentation techniques aiming at en…

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