Zhenghua Xu
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 104 citations into it
- Reinforcement Learning — 86 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Natural Language Processing — 8 citations into it
- Model Architectures — 7 citations into it
Whom Zhenghua Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ruslan Salakhutdinov
- Ilya Sutskever
- Tomas Mikolov
- Diederik P. Kingma
- Alex Krizhevsky
- Mark J van Rossum
- Ellen M. Voorhees
- Yann LeCun
Who trusts Zhenghua Xu overall
Papers from Zhenghua Xu's perspective
Ordered by how strongly the researchers Zhenghua Xu 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence (2019) — 37 citations
- Mega-Reward: Achieving Human-Level Play without Extrinsic Rewards (2019) — 19 citations
- Tag-Aware Personalized Recommendation Using a Hybrid Deep Model (2017) — 54 citations
- Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling (2016) — 85 citations