Ziqing Ma
Artificial Intelligence · 2022
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 73 citations into it; #35,154 of 35,345 by trust here, #12,761 by citations
- Model Architectures — 52 citations into it
- Signal Processing — 46 citations into it; #5,825 of 7,572 by trust here, #1,560 by citations
- Computer Vision and Pattern Recognition — 30 citations into it
- Management Science and Operations Research — 29 citations into it; #9,440 of 11,946 by trust here, #2,667 by citations
- Time-Series & Forecasting — 18 citations into it
- Natural Language Processing — 14 citations into it
- Electrical and Electronic Engineering — 11 citations into it
Whom Ziqing Ma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Yoshua Bengio
- Geoffrey E. Hinton
- Sepp Hochreiter
- Alex Krizhevsky
- Jimmy Ba
- J. Urgen Schmidhuber
- Yann LeCun
- Ilya Sutskever
- Jacob Devlin
Who trusts Ziqing Ma overall
Papers from Ziqing Ma's perspective
Ordered by how strongly the researchers Ziqing Ma trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting (2022) — 3,326 citations
- FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting (2022) — 365 citations
- Transformers in Time Series: A Survey (2022) — 1,549 citations