Yanyan Lan

Artificial Intelligence · 2009–2021

A researcher in the Science corpus: 17 papers; trusts 431 researchers and is trusted by 42 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 493 citations into it; #5,237 of 35,345 by trust here, #3,978 by citations
• Natural Language Processing — 267 citations into it; #1,775 of 5,688 by trust here, #1,674 by citations
• Computer Vision and Pattern Recognition — 249 citations into it; #5,724 of 21,575 by trust here, #3,765 by citations
• Large Language Models — 91 citations into it
• Model Architectures — 78 citations into it; #2,241 of 2,278 by trust here, #874 by citations
• Representation & Self-Supervised Learning — 78 citations into it
• Information Retrieval & Search — 69 citations into it; #659 of 1,022 by trust here, #621 by citations
• Information Systems — 60 citations into it; #4,190 of 8,771 by trust here, #2,145 by citations

Whom Yanyan Lan trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Diederik P. Kingma
5. Richard Socher
6. Alex Krizhevsky
7. Alex Graves
8. Tomas Mikolov
9. Yann LeCun
10. Kaiming He

Who trusts Yanyan Lan overall

1. Jiafeng Guo
2. Yixing Fan
3. Kai Hui
4. Andrew Yates
5. Sebastian Hofstätter
6. Bhaskar Mitra
7. Liu Yang
8. Liang Pang
9. Sean MacAvaney
10. Qian Chen

Papers from Yanyan Lan's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Pre-Trained Models: Past, Present and Future (2021) — 1,095 citations
• Learning to Control the Specificity in Neural Response Generation (2018) — 86 citations
• WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training (2021) — 146 citations
• A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations (2015) — 359 citations
• HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering (2019) — 38 citations
• A biterm topic model for short texts (2013) — 1,119 citations
• Text Matching as Image Recognition (2016) — 578 citations
• Adaptive Information Seeking for Open-Domain Question Answering (2021) — 43 citations
• On Layer Normalization in the Transformer Architecture (2020) — 1,522 citations
• FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning (2021) — 7 citations
• L2R²: Leveraging Ranking for Abductive Reasoning (2020) — 17 citations
• Modeling Diverse Relevance Patterns in Ad-hoc Retrieval (2018) — 94 citations
• A Study of MatchPyramid Models on Ad-hoc Retrieval (2016) — 90 citations
• Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN (2016) — 176 citations
• Learning Hierarchical Representation Model for NextBasket Recommendation (2015) — 436 citations
• BTM: Topic Modeling over Short Texts (2014) — 532 citations
• Ranking Measures and Loss Functions in Learning to Rank (2009) — 241 citations