Jialu Liu
Artificial Intelligence · 2013–2023
A researcher in the Science corpus: 6 papers; trusts 98 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 111 citations into it; #19,110 of 35,345 by trust here, #11,192 by citations
- Natural Language Processing — 43 citations into it
- Computer Vision and Pattern Recognition — 35 citations into it; #11,981 of 21,575 by trust here, #9,872 by citations
- Representation & Self-Supervised Learning — 32 citations into it
- Information Systems — 30 citations into it
- Large Language Models — 21 citations into it
- Statistical and Nonlinear Physics — 13 citations into it
- Information Retrieval & Search — 12 citations into it
Whom Jialu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Alexis Conneau
- Kaiming He
- Tomas Mikolov
- Christopher D. Manning
Who trusts Jialu Liu overall
Papers from Jialu Liu's perspective
Ordered by how strongly the researchers Jialu Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Multi-View Clustering via Joint Nonnegative Matrix Factorization (2013) — 1,014 citations
- ClusCite: effective citation recommendation by information network-based clustering (2014) — 143 citations
- NewsEmbed: Modeling News through Pre-trained Document Representations (2021) — 12 citations
- Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting (2023) — 461 citations
- Automated Phrase Mining from Massive Text Corpora (2017) — 322 citations
- Large-Scale Embedding Learning in Heterogeneous Event Data (2016) — 88 citations