Yuke Zhu

Stanford University, Nvidia (United States), The University of Texas at Austin, Institute of Occupational Medicine, Nvidia (United Kingdom)

Papers

86

Total Citations

5,719

H-Index

28

About

No biography available yet.

Research Focus

Computer science82 · 5,688 citations
Artificial intelligence78 · 5,658 citations
Robot58 · 3,646 citations
Machine learning34 · 2,832 citations
Reinforcement learning21 · 2,660 citations
Generalization10 · 2,038 citations
Algorithm6 · 1,865 citations
Matching (statistics)4 · 1,841 citations
Computer vision18 · 1,702 citations
Deep learning3 · 1,701 citations
State (computer science)3 · 1,675 citations
Feature (linguistics)2 · 1,670 citations

Key Achievements

28
H-Index
86
Papers
5,719
Total Citations
67
Avg Citations/Paper
🏆 Most Cited Paper
Target-driven visual navigation in indoor scenes using deep reinforcement learning
1,507 citations · 2017
📈 Most Prolific Year: 2024 (12 Papers)
🤝 Key Collaborators: 339
🏛 Institutions: Stanford University, Nvidia (United States), The University of Texas at Austin, Institute of Occupational Medicine, Nvidia (United Kingdom)

Top Papers

  1. 1
    Target-driven visual navigation in indoor scenes using deep reinforcement learning
    1,507 citations · 2017
  2. 2
    DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
    1,121 citations · 2019
  3. 3
    Reinforcement and Imitation Learning for Diverse Visuomotor Skills
    217 citations · 2018
  4. 4
    Learning task-oriented grasping for tool manipulation from simulated self-supervision
    185 citations · 2019
  5. 5
    Foundation models in robotics: Applications, challenges, and the future
    163 citations · 2024
  6. 6
    Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
    163 citations · 2016
  7. 7
    6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints
    159 citations · 2020
  8. 8
    Neural Task Programming: Learning to Generalize Across Hierarchical Tasks
    153 citations · 2018
  9. 9
    Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations
    128 citations · 2017
  10. 10
    SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
    118 citations · 2018

Key Collaborators

LFLi Fei-Fei33 shared papersSSSilvio Savarese29 shared papersAMAjay Mandlekar16 shared papersAGAnimesh Garg16 shared papersSNSoroush Nasiriany15 shared papersRMRoberto Martín-Martín14 shared papersDXDanfei Xu11 shared papersKFKuan Fang11 shared papersLFLinxi Fan10 shared papersYZYifeng Zhu8 shared papersAAAnima Anandkumar8 shared papersJBJeannette Bohg6 shared papersSBStan Birchfield5 shared papersAMAbhiram Maddukuri5 shared papersGSGuanya Shi5 shared papersMAMichelle A. Lee5 shared papersHLHuihan Liu5 shared papersJJJoseph J. Lim5 shared papersZJZhenyu Jiang5 shared papersDDDanny Driess4 shared papers
Not generated yet