Jiaming Shen
Artificial Intelligence · 2018–2025
A researcher in the Science corpus: 6 papers; trusts 59 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 159 citations into it; #29,139 of 35,345 by trust here, #12,761 by citations
- Natural Language Processing — 59 citations into it; #4,741 of 5,688 by trust here, #4,539 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Representation & Self-Supervised Learning — 17 citations into it
- Information Systems — 15 citations into it
Whom Jiaming Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Tomas Mikolov
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoon Kim
- Diederik P. Kingma
- Alex Krizhevsky
- Ross B. Girshick
- Evgeniy Gabrilovich
Who trusts Jiaming Shen overall
Papers from Jiaming Shen's perspective
Ordered by how strongly the researchers Jiaming Shen 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
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters (2022) — 397 citations
- Weakly-Supervised Neural Text Classification (2018) — 200 citations
- RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation (2025)
- Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting (2023) — 461 citations
- Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias (2023) — 367 citations
- Weakly-Supervised Hierarchical Text Classification (2018) — 141 citations