Qinlong Wen
Artificial Intelligence · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it
Whom Qinlong Wen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Qinlong Wen's perspective
Ordered by how strongly the researchers Qinlong Wen trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Auto-Encoding Variational Bayes (International Conference on Learning Representations)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Mastering the game of Go with deep neural networks and tree search
- Semi-supervised Learning with Deep Generative Models
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
Their papers
- Probabilistic Representation and Inverse Design of Metamaterials Based on a Deep Generative Model with Semi‐Supervised Learning Strategy (2019) — 534 citations
- Graphene nanosheets/BaTiO3 ceramics as highly efficient electromagnetic interference shielding materials in the X-band (2016) — 164 citations
- Temperature dependence of the electromagnetic properties of graphene nanosheet reinforced alumina ceramics in the X-band (2016) — 165 citations