Jinming Zhao
Artificial Intelligence · 2021
A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 56 citations into it
- Computer Vision and Pattern Recognition — 40 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Multimodal Learning — 16 citations into it
- Natural Language Processing — 11 citations into it
- Experimental and Cognitive Psychology — 10 citations into it
- Large Language Models — 9 citations into it
- Model Architectures — 9 citations into it
Whom Jinming Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoon Kim
- Geoffrey E. Hinton
- Carlos Busso
- L. V. D. van der Maaten
- Diederik P. Kingma
- Jacob Devlin
- Yoshua Bengio
- Florian Eyben
- Hasim Sak
- Alex Krizhevsky
Papers from Jinming Zhao's perspective
Ordered by how strongly the researchers Jinming Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training (2021) — 146 citations
- Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities (2021) — 319 citations
- MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation (2021) — 383 citations