Minyi Guo
Artificial Intelligence · 2012–2019
A researcher in the Science corpus: 10 papers; trusts 173 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 199 citations into it; #6,511 of 35,345 by trust here, #5,153 by citations
- Information Systems — 99 citations into it; #1,241 of 8,771 by trust here, #948 by citations
- Computer Vision and Pattern Recognition — 87 citations into it; #16,532 of 21,575 by trust here, #18,266 by citations
- Representation & Self-Supervised Learning — 68 citations into it
- Graph Learning — 51 citations into it
- Recommender Systems — 43 citations into it; #80 of 233 by trust here, #61 by citations
- Natural Language Processing — 39 citations into it
- Statistical and Nonlinear Physics — 38 citations into it
Whom Minyi Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Tomas Mikolov
- Yann LeCun
- Ruslan Salakhutdinov
- Hongwei Wang
- Antoine Bordes
Who trusts Minyi Guo overall
- Hongwei Wang
- Xiaohan Zou
- Fuzheng Zhang
- Chuhan Wu
- Qingyu Guo
- Xing Xie
- Xiang Wang
- Fangzhao Wu
- Weihao Kong
- Amr El-Desoky Mousa
Papers from Minyi Guo's perspective
Ordered by how strongly the researchers Minyi Guo 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
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Efficient Selection Algorithm for Fast k-NN Search on GPUs (2015) — 18 citations
- Manhattan hashing for large-scale image retrieval (2012) — 109 citations
- GraphGAN: Graph Representation Learning with Generative Adversarial Nets (2017) — 698 citations
- Knowledge Graph Convolutional Networks for Recommender Systems (2019) — 1,150 citations
- Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation (2019) — 536 citations
- RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems (2018) — 1,246 citations
- DKN: Deep Knowledge-Aware Network for News Recommendation (2018) — 1,195 citations
- Joint Topic-Semantic-aware Social Recommendation for Online Voting (2017) — 32 citations
- SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction (2017) — 343 citations
- Emoticon Smoothed Language Models for Twitter Sentiment Analysis (2012) — 285 citations