Li Chen
Information Systems · User modeling and user-adapted interaction · 2006–2020
A researcher in the Science corpus: 9 papers; trusts 107 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 104 citations into it; #591 of 8,771 by trust here, #686 by citations
- Artificial Intelligence — 87 citations into it; #8,827 of 35,345 by trust here, #8,619 by citations
- Management Science and Operations Research — 38 citations into it; #10,148 of 11,946 by trust here, #2,241 by citations
- Computer Vision and Pattern Recognition — 29 citations into it; #9,819 of 21,575 by trust here, #14,478 by citations
- Recommender Systems — 29 citations into it
- Natural Language Processing — 21 citations into it
- Sociology and Political Science — 15 citations into it; #4,099 of 22,756 by trust here, #5,668 by citations
- Marketing — 14 citations into it
Whom Li Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Liu
- Yehuda Koren
- Minqing Hu
- Gediminas Adomavicius
- J. Konstan
- Jonathan L. Herlocker
- Steffen Rendle
- Thomas Hofmann
- Jerome H. Friedman
- Pearl Huan Z. Pu
Who trusts Li Chen overall
- Bart P. Knijnenburg
- Nava Tintarev
- George Leu
- Yue Shi
- Dietmar Jannach
- Chongming Gao
- Sophie Ahrens
- Lei Zheng
- Martijn C. Willemsen
- Ruining He
Papers from Li Chen's perspective
Ordered by how strongly the researchers Li 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Temporal recommendation on graphs via long- and short-term preference fusion (2010) — 410 citations
- Evaluating recommender systems from the user’s perspective: survey of the state of the art (2012) — 400 citations
- A user-centric evaluation framework for recommender systems (2011) — 936 citations
- Recommender systems based on user reviews: the state of the art (2015) — 386 citations
- News impact on stock price return via sentiment analysis (2014) — 487 citations
- Critiquing-based recommenders: survey and emerging trends (2012) — 313 citations
- A Survey on Conversational Recommender Systems (2020) — 563 citations
- Trust building with explanation interfaces (2006) — 336 citations
- Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering — 225 citations