Tingnan Zhang
Artificial Intelligence · 2013–2023
A researcher in the Science corpus: 7 papers; trusts 60 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 115 citations into it; #32,070 of 35,345 by trust here, #18,586 by citations
- Reinforcement Learning — 78 citations into it; #2,050 of 2,242 by trust here, #1,037 by citations
- Computer Vision and Pattern Recognition — 59 citations into it; #13,744 of 21,575 by trust here, #6,485 by citations
- Control and Systems Engineering — 57 citations into it; #4,224 of 8,257 by trust here, #858 by citations
- Biomedical Engineering — 53 citations into it; #2,142 of 10,734 by trust here, #2,347 by citations
- Aerospace Engineering — 18 citations into it
- Optimization & Training — 10 citations into it
- Management Science and Operations Research — 8 citations into it
Whom Tingnan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xue Bin Peng
- Sergey Levine
- John Schulman
- Diederik P. Kingma
- Geoffrey E. Hinton
- Pieter Abbeel
- Alex Krizhevsky
- Richard S. Sutton
- Yoshua Bengio
- Avik De
Who trusts Tingnan Zhang overall
- Jemin Hwangbo
- Jie Tan
- Ashish Kumar
- Julian Ibarz
- Sergey Levine
- Tuomas Haarnoja
- Atil Iscen
- Annie Xie
- Yuxiang Yang
- Chelsea Finn
Papers from Tingnan Zhang's perspective
Ordered by how strongly the researchers Tingnan Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Sim-to-Real: Learning Agile Locomotion For Quadruped Robots (2018) — 981 citations
- Learning Agile Robotic Locomotion Skills by Imitating Animals (2020) — 669 citations
- Policies Modulating Trajectory Generators (2018) — 151 citations
- Data Efficient Reinforcement Learning for Legged Robots (2019) — 169 citations
- Language to Rewards for Robotic Skill Synthesis (2023) — 422 citations
- On the Sample Complexity of Stability Constrained Imitation Learning (2021) — 52 citations
- A Terradynamics of Legged Locomotion on Granular Media (2013) — 465 citations