Yang Zhang
Artificial Intelligence · with Chang · 2016–2020
A researcher in the Science corpus: 11 papers; trusts 229 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 152 citations into it; #17,989 of 35,345 by trust here, #5,749 by citations
- Computer Vision and Pattern Recognition — 81 citations into it
- Signal Processing — 53 citations into it; #3,743 of 7,572 by trust here, #1,105 by citations
- Natural Language Processing — 41 citations into it; #5,415 of 5,688 by trust here, #4,112 by citations
- Model Architectures — 31 citations into it
- Generative Models — 28 citations into it
- Efficiency & Compression — 26 citations into it
- Safety, Robustness & Interpretability — 23 citations into it
Whom Yang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Karen Simonyan
- Kaiming He
- Ilya Sutskever
- Ruslan Salakhutdinov
- Alex Graves
Who trusts Yang Zhang overall
- Keon Lee
- Po-Chun Hsu
- Ahmed Omran
- Ilias Chalkidis
- Xu Tan
- Zhaoxi Mu
- Rongjie Huang
- Ali Asghar Zare
- Shijun Wang
- Tzu-hsien Huang
Papers from Yang Zhang's perspective
Ordered by how strongly the researchers Yang Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Fast Generation for Convolutional Autoregressive Models (2017) — 67 citations
- Dilated Recurrent Neural Networks (2017) — 351 citations
- Fast Wavenet Generation Algorithm (2016) — 88 citations
- A Game Theoretic Approach to Class-wise Selective Rationalization (2019) — 66 citations
- Unsupervised Speech Decomposition via Triple Information Bottleneck (2020) — 212 citations
- Zero-Shot Voice Style Transfer with Only Autoencoder Loss (2019) — 555 citations
- The Lottery Ticket Hypothesis for Pre-trained BERT Networks (2020) — 422 citations
- Grounding Spoken Words in Unlabeled Video (2019) — 24 citations
- Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control (2019) — 159 citations
- Speech Enhancement Using Bayesian Wavenet (2017) — 85 citations
- Streaming Recommender Systems (2016) — 113 citations