Jiacheng Zhu

Artificial Intelligence · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Probabilistic & Bayesian Methods — 10 citations into it
• Reinforcement Learning — 10 citations into it
• Statistics and Probability — 5 citations into it

Whom Jiacheng Zhu trusts overall

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

1. Radford M. Neal
2. Michael I. Jordan
3. Geoffrey E. Hinton
4. Chelsea Finn
5. Diederik P. Kingma
6. Michalis K. Titsias
7. Yoshua Bengio
8. Sergey Levine
9. Alex Krizhevsky
10. Pieter Abbeel

Who trusts Jiacheng Zhu overall

1. B. R. Kiran
2. Ibrahim Sobh

Papers from Jiacheng Zhu's perspective

Ordered by how strongly the researchers Jiacheng Zhu 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes (2020) — 38 citations
• A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives (2018) — 6 citations