Yang Yang
Artificial Intelligence · with Zhan · 2015–2023
A researcher in the Science corpus: 5 papers; trusts 65 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 76 citations into it; #15,553 of 35,345 by trust here, #18,586 by citations
- Computer Vision and Pattern Recognition — 41 citations into it
- Representation & Self-Supervised Learning — 22 citations into it
- Optimization & Training — 15 citations into it
- Signal Processing — 10 citations into it
- Evaluation & Benchmarks — 8 citations into it
- Model Architectures — 8 citations into it
Whom Yang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Chih-Jen Lin
- X. Zhang
- Shaoqing Ren
- Diederik P. Kingma
- Tianqi Chen
Who trusts Yang Yang overall
Papers from Yang Yang's perspective
Ordered by how strongly the researchers Yang Yang 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Adaptive Deep Models for Incremental Learning: Considering Capacity Scalability and Sustainability (2019) — 112 citations
- Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling (2023) — 57 citations
- Learning to Classify With Incremental New Class (2021) — 73 citations
- Detecting Sequentially Novel Classes with Stable Generalization Ability (2021) — 10 citations
- Auxiliary Information Regularized Machine for Multiple Modality Feature Learning (2015) — 33 citations