Han Ding
International Conference on AI in Finance · with Chen · 2023
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Han Ding trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Han Ding's perspective
Ordered by how strongly the researchers Han Ding trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- Gradient-based learning applied to document recognition
- Generating Sequences With Recurrent Neural Networks
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Large Language Models in Finance: A Survey (2023) — 471 citations