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researcher

Wenhao Yu

Google Inc

40 papers hereh-index 359.1k citations93 works total

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

author position
  • first author8
  • middle author26
  • last author4

Across the 38 of 40 papers where every author was matched, so the position is known.

fields
  • cs.RO23
  • cs.LG8
  • cs.CL4
  • cs.AI2
  • eess.SY2
  • cs.SE1
affiliations
  • Google Inc
Homepage
same name
  • Wenhao Yu — 31 papers, h 18
  • Wenhao Yu — 14 papers, h 9
  • Wenhao Yu — 9 papers, h 3
  • Wenhao Yu — 7 papers, h 3
  • Wenhao Yu — 4 papers, h 1
  • Wenhao Yu — 3 papers, h 5

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
20172023
most citedA Survey of Knowledge-Enhanced Text Generation

252 citations · 689 across the 37 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.RO2017★ 1 cited

Learning Human Behaviors for Robot-Assisted Dressing

Alexander Clegg, Wenhao Yu, Jie Tan +3

We investigate robotic assistants for dressing that can anticipate the motion of the person who is being helped. To this end, we use reinforcement learning to create models of huma…

cs.RO2017★ 3 cited

Multi-task Learning with Gradient Guided Policy Specialization

Wenhao Yu, C. Karen Liu, Greg Turk

We present a method for efficient learning of control policies for multiple related robotic motor skills. Our approach consists of two stages, joint training and specialization tra…

cs.RO2017★ 3 cited

Learning to Navigate Cloth using Haptics

Alexander Clegg, Wenhao Yu, Zackory Erickson +3

We present a controller that allows an arm-like manipulator to navigate deformable cloth garments in simulation through the use of haptic information. The main challenge of such a…

cs.LG2017★ 42 cited

Preparing for the Unknown: Learning a Universal Policy with Online System Identification

Wenhao Yu, Jie Tan, C. Karen Liu +1

We present a new method of learning control policies that successfully operate under unknown dynamic models. We create such policies by leveraging a large number of training exampl…

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