Luo Si

Artificial Intelligence · with Zhang · 2003–2015

A researcher in the Science corpus: 7 papers; trusts 24 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it; #11,725 of 35,345 by trust here, #19,439 by citations
• Computer Vision and Pattern Recognition — 18 citations into it
• Signal Processing — 17 citations into it
• Statistical Learning Theory — 16 citations into it
• Computer Networks and Communications — 12 citations into it
• Information Systems — 12 citations into it; #2,065 of 8,771 by trust here, #4,885 by citations
• Representation & Self-Supervised Learning — 7 citations into it
• Software — 7 citations into it

Whom Luo Si trusts overall

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

1. Paul Resnick
2. Stuart Andrews
3. Thomas G. Dietterich
4. Thomas Hofmann
5. Ioannis Tsochantaridis
6. Zhi-Hua Zhou
7. J. Breese
8. Thorsten Joachims
9. Jun Wang
10. Min-Ling Zhang

Who trusts Luo Si overall

1. Hao Ma
2. Gediminas Adomavicius
3. Irwin King
4. Michael R. Lyu
5. Weike Pan
6. Yue Shi
7. Qiang Yang
8. Xiaoyuan Su
9. Abhay Harpale
10. Jianke Zhu

Papers from Luo Si's perspective

Ordered by how strongly the researchers Luo Si 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multiple Instance Transfer Learning (2009) — 11 citations
• A Probabilistic Discriminative Model for Android Malware Detection with Decompiled Source Code (2015) — 135 citations
• MILEAGE: Multiple Instance LEArning with Global Embedding (2013) — 20 citations
• Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering (2011) — 32 citations
• M3IC: Maximum Margin Multiple Instance Clustering (2009) — 39 citations
• An automatic weighting scheme for collaborative filtering (2004) — 373 citations
• Flexible Mixture Model for Collaborative Filtering (2003) — 355 citations