Yuqian Jiang

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 57 citations into it
• Natural Language Processing — 17 citations into it

Whom Yuqian Jiang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Sridhar Mahadevan
2. Andrew Y. Ng
3. Christel Baier
4. Rodrigo Toro Icarte
5. Eric Wiewiora
6. Greg Brockman
7. Geoffrey E. Hinton
8. Joost-Pieter Katoen
9. Anton Schwartz
10. Karen Simonyan

Who trusts Yuqian Jiang overall

1. Theodore R. Sumers

Papers from Yuqian Jiang's perspective

Ordered by how strongly the researchers Yuqian Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
9. Et al
10. ImageNet: A large-scale hierarchical image database

Their papers

• Jointly Improving Parsing and Perception for Natural Language Commands through Human-Robot Dialog (2020) — 60 citations
• LLM+P: Empowering Large Language Models with Optimal Planning Proficiency (2023) — 653 citations
• Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks (2020) — 57 citations