Xiaoxia Zhou

Aerospace Engineering · 2020–2023

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoxia Zhou trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. John T. Betts
  2. F. Clarke
  3. Daniel Mellinger
  4. Dong C. Liu
  5. Matthias Faessler
  6. Roger A. Horn
  7. Andreas Wächter
  8. Andreas Griewank
  9. Donghui Li
  10. Jorge Nocedal

Papers from Xiaoxia Zhou's perspective

Ordered by how strongly the researchers Xiaoxia Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Probabilistic roadmaps for path planning in high-dimensional configuration spaces
  2. STOMP: Stochastic trajectory optimization for motion planning (IEEE International Conference on Robotics and Automation)
  3. ImageNet classification with deep convolutional neural networks
  4. Sampling-based algorithms for optimal motion planning
  5. Distance Transforms of Sampled Functions
  6. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  7. Numerical optimization
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. CHOMP: Covariant Hamiltonian optimization for motion planning (Int. J. Robotics Res.)

Their papers