Quan Yuan
Information Systems · Annual International ACM SIGIR Conference on Research and Development in Information Retrieval · 2010–2017
A researcher in the Science corpus: 6 papers; trusts 34 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 61 citations into it; #3,620 of 8,771 by trust here, #1,815 by citations
- Artificial Intelligence — 45 citations into it; #29,850 of 35,345 by trust here, #17,110 by citations
- Transportation — 35 citations into it; #1,123 of 2,062 by trust here, #462 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Representation & Self-Supervised Learning — 23 citations into it
- Statistical and Nonlinear Physics — 19 citations into it
- Signal Processing — 18 citations into it
- Recommender Systems — 16 citations into it
Whom Quan Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Mao Ye
- Geoffrey E. Hinton
- Eunjoon Cho
- Xiaoyuan Su
- Yoshua Bengio
- Ilya Sutskever
- David M. Blei
- Diederik P. Kingma
- Tomas Mikolov
Who trusts Quan Yuan overall
- Yongfeng Zhang
- Jia-Dong Zhang
- Charu C. Aggarwal
- Xutao Li
- Mohammad Aliannejadi
- Gao Cong
- Yong Liu
- Xu Chen
- Xiangnan He
- Sophie Ahrens
Papers from Quan Yuan's perspective
Ordered by how strongly the researchers Quan Yuan 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
- 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
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- 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)
Their papers
- Temporal recommendation on graphs via long- and short-term preference fusion (2010) — 410 citations
- SAR: A sentiment-aspect-region model for user preference analysis in geo-tagged reviews (2015) — 77 citations
- Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation (2017) — 316 citations
- Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning (2017) — 151 citations
- Personalized Ranking Metric Embedding for Next New POI Recommendation (2015) — 539 citations
- Time-aware point-of-interest recommendation (2013) — 807 citations