Guanliang Chen
Information Systems · 2015–2023
A researcher in the Science corpus: 2 papers; trusts 58 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 30 citations into it; #6,489 of 8,771 by trust here, #6,501 by citations
- Artificial Intelligence — 24 citations into it; #27,978 of 35,345 by trust here, #21,878 by citations
- Management Science and Operations Research — 8 citations into it
- Natural Language Processing — 8 citations into it
- Recommender Systems — 7 citations into it
- Computer Vision and Pattern Recognition — 6 citations into it
- Information Retrieval & Search — 5 citations into it
Whom Guanliang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Liu
- Minqing Hu
- Yehuda Koren
- Thomas Hofmann
- Jerome H. Friedman
- Dekang Lin
- Gediminas Adomavicius
- Noam Slonim
- Nitin Jindal
- Francis R. Bach
Who trusts Guanliang Chen overall
Papers from Guanliang Chen's perspective
Ordered by how strongly the researchers Guanliang Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Recommender systems based on user reviews: the state of the art (2015) — 386 citations
- Can Large Language Models Provide Feedback to Students? A Case Study on ChatGPT (2023) — 335 citations