Junyang Shen

Artificial Intelligence · 2012–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Junyang Shen trusts overall

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

  1. Ismail Güvenç
  2. Dominic K. C. Ho
  3. Moustafa Youssef
  4. Chia-Chin Chong
  5. Matthew Mah
  6. Neal Patwari

Papers from Junyang Shen's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Rectified Linear Units Improve Restricted Boltzmann Machines
  3. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
  4. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (IEEE Signal Processing Magazine)
  5. VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  6. Neural Architecture Search with Reinforcement Learning
  7. Multi-view 3D Object Detection Network for Autonomous Driving
  8. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  9. Frustum PointNets for 3D Object Detection from RGB-D Data
  10. Least squares algorithms for time-of-arrival-based mobile location (IEEE Transactions on Signal Processing)

Their papers