Chao Liu
Information Systems · with Guo · 2009–2011
A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 65 citations into it; #1,029 of 8,771 by trust here, #727 by citations
- Artificial Intelligence — 20 citations into it; #27,557 of 35,345 by trust here, #10,207 by citations
- Computer Vision and Pattern Recognition — 15 citations into it
- Recommender Systems — 11 citations into it; #175 of 233 by trust here, #84 by citations
- Information Retrieval & Search — 9 citations into it; #407 of 1,022 by trust here, #663 by citations
- Management Science and Operations Research — 9 citations into it
- Computer Networks and Communications — 8 citations into it
- Marketing — 7 citations into it
Whom Chao Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Hofmann
- John F. Canny
- Thorsten Joachims
- Ruslan Salakhutdinov
- Daniel D. Lee
- Yehuda Koren
- Nati Srebro
- Rong Jin
- Andriy Mnih
- Luo Si
Who trusts Chao Liu overall
- Katja Hofmann
- Masrour Zoghi
- Yiqun Liu
- Shimon Whiteson
- Prem Gopalan
- Maarten de Rijke
- Wenjie Wang
- Branislav Kveton
- Csaba Szepesvari
- Tor Lattimore
Papers from Chao Liu's perspective
Ordered by how strongly the researchers Chao Liu 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Recommender systems with social regularization (2011) — 1,713 citations
- Understanding web browsing behaviors through Weibull analysis of dwell time (2010) — 324 citations
- Probabilistic factor models for web site recommendation (2011) — 77 citations
- Efficient multiple-click models in web search (2009) — 300 citations
- Click chain model in web search (2009) — 258 citations