Xin Luo

Information Systems · IEEE Transactions on Industrial Informatics · 2014–2022

A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 67 citations into it
• Artificial Intelligence — 41 citations into it
• Management Science and Operations Research — 25 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Theory and Mathematics — 17 citations into it
• Recommender Systems — 17 citations into it
• Computer Networks and Communications — 16 citations into it
• Optimization & Training — 11 citations into it

Whom Xin Luo trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yehuda Koren
2. Ruslan Salakhutdinov
3. Arkadiusz Paterek
4. Daniel D. Lee
5. Robert M. Bell
6. Thomas Hofmann
7. Andriy Mnih
8. Guy Shani
9. Matthew D. Zeiler
10. J. Konstan

Who trusts Xin Luo overall

1. Enrico Palumbo
2. Dougal Shakespeare
3. Ye Yuan
4. Giuseppe Rizzo
5. Sili Chen
6. Lorenzo Porcaro
7. Hao Wu

Papers from Xin Luo's perspective

Ordered by how strongly the researchers Xin Luo trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method (2016) — 315 citations
• Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis (2022) — 305 citations
• Temporal Pattern-Aware QoS Prediction via Biased Non-Negative Latent Factorization of Tensors (2020) — 325 citations
• Long-term effects of user preference-oriented recommendation method on the evolution of online system (2017) — 11 citations
• An Efficient Non-Negative Matrix-Factorization-Based Approach to Collaborative Filtering for Recommender Systems (2014) — 582 citations