Li Zhang
Artificial Intelligence · with Anderson · 2020–2023
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #35,039 of 35,345 by trust here, #28,481 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Information Systems — 10 citations into it; #8,701 of 8,771 by trust here, #6,770 by citations
- Recommender Systems — 6 citations into it
Whom Li Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- H. Brendan McMahan
- Ilya Sutskever
- Geoffrey E. Hinton
- Yoshua Bengio
- Tomas Mikolov
- Kaiming He
- Eider Moore
- Diederik P. Kingma
- Yann LeCun
Who trusts Li Zhang overall
Papers from Li Zhang's perspective
Ordered by how strongly the researchers Li Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Neural Collaborative Filtering vs. Matrix Factorization Revisited (2020) — 500 citations
- Homomorphic Encryption-Based Privacy-Preserving Federated Learning in IoT-Enabled Healthcare System (2023) — 321 citations