Jianjun Zhao
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Computer Vision and Pattern Recognition — 50 citations into it
- Safety, Robustness & Interpretability — 45 citations into it
- Software — 23 citations into it; #1,053 of 1,227 by trust here, #315 by citations
- Signal Processing — 19 citations into it
Whom Jianjun Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jianjun Zhao overall
Papers from Jianjun Zhao's perspective
Ordered by how strongly the researchers Jianjun Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- ImageNet classification with deep convolutional neural networks
- Explaining and Harnessing Adversarial Examples
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- GradientBased Learning Applied to Document Recognition
- Human-level control through deep reinforcement learning
Their papers
- DeepMutation: Mutation Testing of Deep Learning Systems (2018) — 401 citations
- DeepHunter: a coverage-guided fuzz testing framework for deep neural networks (2019) — 472 citations
- DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems (2018) — 708 citations
- Coverage-directed differential testing of JVM implementations (2016) — 217 citations